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],removedEqs[GAMG_MAXLEVELS]; 446 PetscInt level_bs[GAMG_MAXLEVELS]; 447 PetscLogDouble nnz0=0,nnztot=0; 448 MatInfo info; 449 450 PetscFunctionBegin; 451 ierr = MPI_Comm_rank(wcomm,&mype);CHKERRQ(ierr); 452 ierr = MPI_Comm_size(wcomm,&npe);CHKERRQ(ierr); 453 if( pc_gamg->setup_count++ > 0 ) { 454 PC_MG_Levels **mglevels = mg->levels; 455 /* just do Galerkin grids */ 456 Mat B,dA,dB; 457 assert(pc->setupcalled); 458 459 if( pc_gamg->Nlevels > 1 ) { 460 /* currently only handle case where mat and pmat are the same on coarser levels */ 461 ierr = KSPGetOperators(mglevels[pc_gamg->Nlevels-1]->smoothd,&dA,&dB,PETSC_NULL);CHKERRQ(ierr); 462 /* (re)set to get dirty flag */ 463 ierr = KSPSetOperators(mglevels[pc_gamg->Nlevels-1]->smoothd,dA,dB,SAME_NONZERO_PATTERN);CHKERRQ(ierr); 464 465 for (level=pc_gamg->Nlevels-2; level>-1; level--) { 466 /* the first time through the matrix structure has changed from repartitioning */ 467 if( pc_gamg->setup_count==2 /*&& (pc_gamg->repart || level==0)*/) { 468 ierr = MatPtAP(dB,mglevels[level+1]->interpolate,MAT_INITIAL_MATRIX,1.0,&B);CHKERRQ(ierr); 469 ierr = MatDestroy(&mglevels[level]->A);CHKERRQ(ierr); 470 mglevels[level]->A = B; 471 } 472 else { 473 ierr = KSPGetOperators(mglevels[level]->smoothd,PETSC_NULL,&B,PETSC_NULL);CHKERRQ(ierr); 474 ierr = MatPtAP(dB,mglevels[level+1]->interpolate,MAT_REUSE_MATRIX,1.0,&B);CHKERRQ(ierr); 475 } 476 ierr = KSPSetOperators(mglevels[level]->smoothd,B,B,SAME_NONZERO_PATTERN); CHKERRQ(ierr); 477 dB = B; 478 } 479 } 480 481 ierr = PCSetUp_MG( pc );CHKERRQ( ierr ); 482 483 /* PCSetUp_MG seems to insists on setting this to GMRES */ 484 ierr = KSPSetType( mglevels[0]->smoothd, KSPPREONLY ); CHKERRQ(ierr); 485 486 PetscFunctionReturn(0); 487 } 488 assert(pc->setupcalled == 0); 489 490 /* GAMG requires input of fine-grid matrix. It determines nlevels. */ 491 ierr = MatGetBlockSize( Pmat, &bs ); CHKERRQ(ierr); 492 ierr = MatGetSize( Pmat, &M, &N );CHKERRQ(ierr); 493 ierr = MatGetOwnershipRange( Pmat, &Istart, &Iend ); CHKERRQ(ierr); 494 nloc = (Iend-Istart)/bs; assert((Iend-Istart)%bs == 0); 495 496 if( pc_gamg->data == 0 && nloc > 0 ) { 497 if(!pc_gamg->createdefaultdata){ 498 SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_LIB,"'createdefaultdata' not set?!?! need to support NULL data!!!"); 499 } 500 ierr = pc_gamg->createdefaultdata( pc ); CHKERRQ(ierr); 501 } 502 503 /* Get A_i and R_i */ 504 if (pc_gamg->verbose) { 505 if(pc_gamg->verbose==1) ierr = MatGetInfo(Pmat,MAT_LOCAL,&info); 506 else ierr = MatGetInfo(Pmat,MAT_GLOBAL_SUM,&info); 507 CHKERRQ(ierr); 508 nnz0 = info.nz_used; 509 nnztot = info.nz_used; 510 PetscPrintf(wcomm,"\t[%d]%s level %d N=%d, n data rows=%d, n data cols=%d, nnz/row (ave)=%d, np=%d\n", 511 mype,__FUNCT__,0,N,pc_gamg->data_cell_rows,pc_gamg->data_cell_cols, 512 (int)(nnz0/(PetscReal)N),npe); 513 } 514 515 for ( level=0, Aarr[0] = Pmat, nactivepe = npe; /* hard wired stopping logic */ 516 level < (pc_gamg->Nlevels-1) && (level==0 || M>pc_gamg->coarse_eq_limit); /* && (npe==1 || nactivepe>1); */ 517 level++ ){ 518 level1 = level + 1; 519 #if (defined PETSC_GAMG_USE_LOG && defined GAMG_STAGES) 520 ierr = PetscLogStagePush(gamg_stages[level]); CHKERRQ( ierr ); 521 #endif 522 #if defined PETSC_GAMG_USE_LOG 523 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET1],0,0,0,0); CHKERRQ(ierr); 524 #endif 525 { /* construct prolongator */ 526 Mat Gmat; 527 PetscCoarsenData *agg_lists; 528 529 level_bs[level] = bs; 530 ierr = pc_gamg->graph( pc, Aarr[level], &Gmat ); CHKERRQ(ierr); 531 ierr = pc_gamg->coarsen( pc, &Gmat, &agg_lists ); CHKERRQ(ierr); 532 ierr = pc_gamg->prolongator( pc, Aarr[level], Gmat, agg_lists, &Parr[level1] ); 533 CHKERRQ(ierr); 534 535 if( Parr[level1] ){ 536 /* get new block size of coarse matrices */ 537 if( pc_gamg->col_bs_id != -1 ){ 538 PetscBool flag; 539 ierr = PetscObjectComposedDataGetInt( (PetscObject)Parr[level1], pc_gamg->col_bs_id, bs, flag ); 540 CHKERRQ( ierr ); assert(flag); 541 } 542 } 543 544 if( pc_gamg->optprol && Parr[level1] ){ 545 /* smooth */ 546 ierr = pc_gamg->optprol( pc, Aarr[level], &Parr[level1] ); CHKERRQ(ierr); 547 } 548 549 ierr = MatDestroy( &Gmat ); CHKERRQ(ierr); 550 551 if ( pc_gamg->use_aggs_in_gasm ) { 552 ierr = PetscCDGetASMBlocks(agg_lists, level_bs[level], &nASMBlocksArr[level], &ASMLocalIDsArr[level]); CHKERRQ(ierr); 553 } 554 555 ierr = PetscCDGetRemovedIS( agg_lists, &removedEqs[level] ); CHKERRQ(ierr); 556 557 ierr = PetscCDDestroy( agg_lists ); CHKERRQ(ierr); 558 } 559 #if defined PETSC_GAMG_USE_LOG 560 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET1],0,0,0,0);CHKERRQ(ierr); 561 #endif 562 /* cache eigen estimate */ 563 if( pc_gamg->emax_id != -1 ){ 564 PetscBool flag; 565 ierr = PetscObjectComposedDataGetReal( (PetscObject)Aarr[level], pc_gamg->emax_id, emaxs[level], flag ); 566 CHKERRQ( ierr ); 567 if( !flag ) emaxs[level] = -1.; 568 } 569 else emaxs[level] = -1.; 570 if(level==0) Aarr[0] = Pmat; /* use Pmat for finest level setup */ 571 if( !Parr[level1] ) { 572 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s stop gridding, level %d\n",mype,__FUNCT__,level); 573 break; 574 } 575 #if defined PETSC_GAMG_USE_LOG 576 ierr = PetscLogEventBegin(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); 577 #endif 578 ierr = createLevel( pc, Aarr[level], bs, 579 (PetscBool)(level==pc_gamg->Nlevels-2), 580 &Parr[level1], &nactivepe, &Aarr[level1] ); 581 CHKERRQ(ierr); 582 #if defined PETSC_GAMG_USE_LOG 583 ierr = PetscLogEventEnd(petsc_gamg_setup_events[SET2],0,0,0,0);CHKERRQ(ierr); 584 #endif 585 ierr = MatGetSize( Aarr[level1], &M, &N );CHKERRQ(ierr); 586 if (pc_gamg->verbose){ 587 PetscInt NN = M; 588 if(pc_gamg->verbose==1) { 589 ierr = MatGetInfo(Aarr[level1],MAT_LOCAL,&info); 590 ierr = MatGetLocalSize( Aarr[level1], &NN, &N );CHKERRQ(ierr); 591 } 592 else ierr = MatGetInfo(Aarr[level1],MAT_GLOBAL_SUM,&info); 593 CHKERRQ(ierr); 594 nnztot += info.nz_used; 595 PetscPrintf(wcomm,"\t\t[%d]%s %d) N=%d, n data cols=%d, nnz/row (ave)=%d, %d active pes\n", 596 mype,__FUNCT__,(int)level1,N,pc_gamg->data_cell_cols, 597 (int)(info.nz_used/(PetscReal)NN), nactivepe ); 598 CHKERRQ(ierr); 599 } 600 /* stop if one node */ 601 if( M/pc_gamg->data_cell_cols < 2 ) { 602 level++; 603 break; 604 } 605 /* Vec diag; PetscScalar *data_arr,v; PetscInt Istart,Iend,kk,nloceq,id; */ 606 /* v = 1.e-10; /\* LU factor has hard wired numbers for small diags so this needs to match (yuk) *\/ */ 607 /* ierr = MatGetOwnershipRange(Aarr[level1], &Istart, &Iend); CHKERRQ(ierr); */ 608 /* nloceq = Iend-Istart; */ 609 /* ierr = MatGetVecs( Aarr[level1], &diag, 0 ); CHKERRQ(ierr); */ 610 /* ierr = MatGetDiagonal( Aarr[level1], diag ); CHKERRQ(ierr); */ 611 /* ierr = VecGetArray( diag, &data_arr ); CHKERRQ(ierr); */ 612 /* for(kk=0;kk<nloceq;kk++){ */ 613 /* if(data_arr[kk]==0.0) { */ 614 /* id = kk + Istart; */ 615 /* ierr = MatSetValues(Aarr[level1],1,&id,1,&id,&v,INSERT_VALUES); */ 616 /* CHKERRQ(ierr); */ 617 /* PetscPrintf(PETSC_COMM_SELF,"\t[%d]%s warning: added zero to diag (%d) on level %d \n",mype,__FUNCT__,id,level1); */ 618 /* } */ 619 /* } */ 620 /* ierr = VecRestoreArray( diag, &data_arr ); CHKERRQ(ierr); */ 621 /* ierr = VecDestroy( &diag ); CHKERRQ(ierr); */ 622 /* ierr = MatAssemblyBegin(Aarr[level1],MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); */ 623 /* ierr = MatAssemblyEnd(Aarr[level1],MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); */ 624 625 #if (defined PETSC_GAMG_USE_LOG && defined GAMG_STAGES) 626 ierr = PetscLogStagePop(); CHKERRQ( ierr ); 627 #endif 628 } /* levels */ 629 630 if( pc_gamg->data ) { 631 ierr = PetscFree( pc_gamg->data ); CHKERRQ( ierr ); 632 pc_gamg->data = 0; 633 } 634 635 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s %d levels, grid complexity = %g\n",0,__FUNCT__,level+1,nnztot/nnz0); 636 pc_gamg->Nlevels = level + 1; 637 fine_level = level; 638 ierr = PCMGSetLevels(pc,pc_gamg->Nlevels,PETSC_NULL);CHKERRQ(ierr); 639 640 /* simple setup */ 641 if( !PETSC_TRUE ){ 642 PC_MG_Levels **mglevels = mg->levels; 643 for (lidx=0,level=pc_gamg->Nlevels-1; 644 lidx<fine_level; 645 lidx++, level--){ 646 ierr = PCMGSetInterpolation( pc, lidx+1, Parr[level] );CHKERRQ(ierr); 647 ierr = KSPSetOperators( mglevels[lidx]->smoothd, Aarr[level], Aarr[level], SAME_NONZERO_PATTERN );CHKERRQ(ierr); 648 ierr = MatDestroy( &Parr[level] ); CHKERRQ(ierr); 649 ierr = MatDestroy( &Aarr[level] ); CHKERRQ(ierr); 650 } 651 ierr = KSPSetOperators( mglevels[fine_level]->smoothd, Aarr[0], Aarr[0], SAME_NONZERO_PATTERN ); CHKERRQ(ierr); 652 653 ierr = PCSetUp_MG( pc ); CHKERRQ( ierr ); 654 } 655 else if( pc_gamg->Nlevels > 1 ) { /* don't setup MG if one level */ 656 /* set default smoothers & set operators */ 657 for ( lidx = 1, level = pc_gamg->Nlevels-2; 658 lidx <= fine_level; 659 lidx++, level--) { 660 KSP smoother; 661 PC subpc; 662 /* set defaults */ 663 ierr = PCMGGetSmoother( pc, lidx, &smoother ); CHKERRQ(ierr); 664 ierr = KSPSetType( smoother, KSPCHEBYCHEV );CHKERRQ(ierr); 665 ierr = KSPGetPC( smoother, &subpc ); CHKERRQ(ierr); 666 667 /* override defaults and command line args (!) */ 668 if ( pc_gamg->use_aggs_in_gasm ) { 669 PetscInt sz; 670 IS *is; 671 if( PETSC_FALSE ){ 672 PetscInt ii; 673 PetscPrintf(PETSC_COMM_SELF,"\t[%d]%s Nblocks=%d\n",mype,__FUNCT__,nASMBlocksArr[level]); 674 for(ii=0;ii<nASMBlocksArr[level];ii++){ 675 ISView(ASMLocalIDsArr[level][ii],PETSC_VIEWER_STDOUT_SELF); 676 } 677 } 678 sz = nASMBlocksArr[level]; 679 is = ASMLocalIDsArr[level]; 680 ierr = PCSetType( subpc, PCGASM ); CHKERRQ(ierr); 681 if(sz==0){ 682 IS is; 683 PetscInt my0,kk; 684 ierr = MatGetOwnershipRange( Aarr[level], &my0, &kk ); CHKERRQ(ierr); 685 ierr = ISCreateGeneral(PETSC_COMM_SELF, 1, &my0, PETSC_COPY_VALUES, &is ); CHKERRQ(ierr); 686 ierr = PCGASMSetLocalSubdomains( subpc, 1, &is, PETSC_NULL ); CHKERRQ(ierr); 687 ierr = ISDestroy( &is ); CHKERRQ(ierr); 688 } 689 else { 690 PetscInt kk; 691 ierr = PCGASMSetLocalSubdomains( subpc, sz, is, PETSC_NULL ); CHKERRQ(ierr); 692 for(kk=0;kk<sz;kk++){ 693 ierr = ISDestroy( &is[kk] ); CHKERRQ(ierr); 694 } 695 ierr = PetscFree( is ); CHKERRQ(ierr); 696 } 697 ierr = PCGASMSetOverlap( subpc, 0 ); CHKERRQ(ierr); 698 699 ASMLocalIDsArr[level] = PETSC_NULL; 700 nASMBlocksArr[level] = 0; 701 ierr = PCGASMSetType( subpc, PC_GASM_BASIC ); CHKERRQ(ierr); 702 } 703 else { 704 ierr = PCSetType( subpc, PCJACOBI ); CHKERRQ(ierr); 705 } 706 ierr = KSPSetNormType( smoother, KSP_NORM_NONE ); CHKERRQ(ierr); 707 /* set ops */ 708 ierr = KSPSetOperators( smoother, Aarr[level], Aarr[level], SAME_NONZERO_PATTERN ); CHKERRQ(ierr); 709 ierr = PCMGSetInterpolation( pc, lidx, Parr[level+1] );CHKERRQ(ierr); 710 } 711 { 712 /* coarse grid */ 713 KSP smoother,*k2; PC subpc,pc2; PetscInt ii,first; 714 Mat Lmat = Aarr[(level=pc_gamg->Nlevels-1)]; lidx = 0; 715 ierr = PCMGGetSmoother( pc, lidx, &smoother ); CHKERRQ(ierr); 716 ierr = KSPSetOperators( smoother, Lmat, Lmat, SAME_NONZERO_PATTERN ); CHKERRQ(ierr); 717 ierr = KSPSetNormType( smoother, KSP_NORM_NONE ); CHKERRQ(ierr); 718 ierr = KSPGetPC( smoother, &subpc ); CHKERRQ(ierr); 719 ierr = PCSetType( subpc, PCBJACOBI ); CHKERRQ(ierr); 720 ierr = PCSetUp( subpc ); CHKERRQ(ierr); 721 ierr = PCBJacobiGetSubKSP(subpc,&ii,&first,&k2);CHKERRQ(ierr); assert(ii==1); 722 ierr = KSPGetPC(k2[0],&pc2);CHKERRQ(ierr); 723 ierr = PCSetType( pc2, PCLU ); CHKERRQ(ierr); 724 } 725 726 /* should be called in PCSetFromOptions_GAMG(), but cannot be called prior to PCMGSetLevels() */ 727 ierr = PetscObjectOptionsBegin( (PetscObject)pc );CHKERRQ(ierr); 728 ierr = PCSetFromOptions_MG( pc ); CHKERRQ(ierr); 729 ierr = PetscOptionsEnd(); CHKERRQ(ierr); 730 if (mg->galerkin != 2) SETERRQ(wcomm,PETSC_ERR_USER,"GAMG does Galerkin manually so the -pc_mg_galerkin option must not be used."); 731 732 /* create cheby smoothers */ 733 for ( lidx = 1, level = pc_gamg->Nlevels-2; 734 lidx <= fine_level; 735 lidx++, level--) { 736 KSP smoother; 737 PetscBool flag; 738 PC subpc; 739 740 ierr = PCMGGetSmoother( pc, lidx, &smoother ); CHKERRQ(ierr); 741 742 /* do my own cheby */ 743 ierr = PetscTypeCompare( (PetscObject)smoother, KSPCHEBYCHEV, &flag ); CHKERRQ(ierr); 744 if( flag ) { 745 PetscReal emax, emin; 746 ierr = KSPGetPC( smoother, &subpc ); CHKERRQ(ierr); 747 ierr = PetscTypeCompare( (PetscObject)subpc, PCJACOBI, &flag ); CHKERRQ(ierr); 748 if( flag && emaxs[level] > 0.0 ) emax=emaxs[level]; /* eigen estimate only for diagnal PC */ 749 else{ /* eigen estimate 'emax' */ 750 KSP eksp; Mat Lmat = Aarr[level]; 751 Vec bb, xx; 752 753 ierr = MatGetVecs( Lmat, &bb, 0 ); CHKERRQ(ierr); 754 ierr = MatGetVecs( Lmat, &xx, 0 ); CHKERRQ(ierr); 755 { 756 PetscRandom rctx; 757 ierr = PetscRandomCreate(wcomm,&rctx);CHKERRQ(ierr); 758 ierr = PetscRandomSetFromOptions(rctx);CHKERRQ(ierr); 759 ierr = VecSetRandom(bb,rctx);CHKERRQ(ierr); 760 ierr = PetscRandomDestroy( &rctx ); CHKERRQ(ierr); 761 } 762 if( removedEqs[level] ) { 763 PetscScalar *zeros; 764 PetscInt ii,jj, *idx_bs, sz, bs=level_bs[level]; 765 const PetscInt *idx; 766 ierr = ISGetLocalSize( removedEqs[level], &sz ); CHKERRQ(ierr); 767 ierr = PetscMalloc( bs*sz*sizeof(PetscScalar), &zeros ); CHKERRQ(ierr); 768 for(ii=0;ii<bs*sz;ii++) zeros[ii] = 0.; 769 ierr = PetscMalloc( bs*sz*sizeof(PetscInt), &idx_bs ); CHKERRQ(ierr); 770 ierr = ISGetIndices( removedEqs[level], &idx); CHKERRQ(ierr); 771 for(ii=0;ii<sz;ii++) { 772 for(jj=0;jj<bs;jj++) { 773 idx_bs[ii] = bs*idx[ii]+jj; 774 } 775 } 776 ierr = ISRestoreIndices( removedEqs[level], &idx ); CHKERRQ(ierr); 777 if( sz > 0 ) { 778 ierr = VecSetValues( bb, sz, idx_bs, zeros, INSERT_VALUES ); CHKERRQ(ierr); 779 } 780 ierr = PetscFree( idx_bs ); CHKERRQ(ierr); 781 ierr = PetscFree( zeros ); CHKERRQ(ierr); 782 ierr = VecAssemblyBegin(bb); CHKERRQ(ierr); 783 ierr = VecAssemblyEnd(bb); CHKERRQ(ierr); 784 ierr = ISDestroy( &removedEqs[level] ); CHKERRQ(ierr); 785 } 786 ierr = KSPCreate( wcomm, &eksp );CHKERRQ(ierr); 787 ierr = KSPSetTolerances( eksp, PETSC_DEFAULT, PETSC_DEFAULT, PETSC_DEFAULT, 10 ); 788 CHKERRQ(ierr); 789 ierr = KSPSetNormType( eksp, KSP_NORM_NONE ); CHKERRQ(ierr); 790 791 ierr = KSPAppendOptionsPrefix( eksp, "est_"); CHKERRQ(ierr); 792 ierr = KSPSetFromOptions( eksp ); CHKERRQ(ierr); 793 794 ierr = KSPSetInitialGuessNonzero( eksp, PETSC_FALSE ); CHKERRQ(ierr); 795 ierr = KSPSetOperators( eksp, Lmat, Lmat, SAME_NONZERO_PATTERN ); CHKERRQ( ierr ); 796 ierr = KSPSetComputeSingularValues( eksp,PETSC_TRUE ); CHKERRQ(ierr); 797 798 /* set PC type to be same as smoother */ 799 ierr = KSPSetPC( eksp, subpc ); CHKERRQ( ierr ); 800 801 /* solve - keep stuff out of logging */ 802 ierr = PetscLogEventDeactivate(KSP_Solve);CHKERRQ(ierr); 803 ierr = PetscLogEventDeactivate(PC_Apply);CHKERRQ(ierr); 804 ierr = KSPSolve( eksp, bb, xx ); CHKERRQ(ierr); 805 ierr = PetscLogEventActivate(KSP_Solve);CHKERRQ(ierr); 806 ierr = PetscLogEventActivate(PC_Apply);CHKERRQ(ierr); 807 808 ierr = KSPComputeExtremeSingularValues( eksp, &emax, &emin ); CHKERRQ(ierr); 809 810 ierr = VecDestroy( &xx ); CHKERRQ(ierr); 811 ierr = VecDestroy( &bb ); CHKERRQ(ierr); 812 ierr = KSPDestroy( &eksp ); CHKERRQ(ierr); 813 814 if( pc_gamg->verbose > 0 ) { 815 PetscInt N1, tt; 816 ierr = MatGetSize( Aarr[level], &N1, &tt ); CHKERRQ(ierr); 817 PetscPrintf(wcomm,"\t\t\t%s PC setup max eigen=%e min=%e on level %d (N=%d)\n",__FUNCT__,emax,emin,lidx,N1); 818 } 819 } 820 { 821 PetscInt N1, N0, tt; 822 ierr = MatGetSize( Aarr[level], &N1, &tt ); CHKERRQ(ierr); 823 ierr = MatGetSize( Aarr[level+1], &N0, &tt ); CHKERRQ(ierr); 824 /* heuristic - is this crap? */ 825 emin = 1.*emax/((PetscReal)N1/(PetscReal)N0); 826 emax *= 1.05; 827 } 828 ierr = KSPChebychevSetEigenvalues( smoother, emax, emin );CHKERRQ(ierr); 829 } /* setup checby flag */ 830 } /* non-coarse levels */ 831 832 /* clean up */ 833 for(level=1;level<pc_gamg->Nlevels;level++){ 834 ierr = MatDestroy( &Parr[level] ); CHKERRQ(ierr); 835 ierr = MatDestroy( &Aarr[level] ); CHKERRQ(ierr); 836 } 837 838 ierr = PCSetUp_MG( pc );CHKERRQ( ierr ); 839 840 if( PETSC_FALSE ){ 841 KSP smoother; /* PCSetUp_MG seems to insists on setting this to GMRES on coarse grid */ 842 ierr = PCMGGetSmoother( pc, 0, &smoother ); CHKERRQ(ierr); 843 ierr = KSPSetType( smoother, KSPPREONLY ); CHKERRQ(ierr); 844 } 845 } 846 else { 847 KSP smoother; 848 if (pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s one level solver used (system is seen as DD). Using default solver.\n",mype,__FUNCT__); 849 ierr = PCMGGetSmoother( pc, 0, &smoother ); CHKERRQ(ierr); 850 ierr = KSPSetOperators( smoother, Aarr[0], Aarr[0], SAME_NONZERO_PATTERN ); CHKERRQ(ierr); 851 ierr = KSPSetType( smoother, KSPPREONLY ); CHKERRQ(ierr); 852 ierr = PCSetUp_MG( pc );CHKERRQ( ierr ); 853 } 854 855 PetscFunctionReturn(0); 856 } 857 858 /* ------------------------------------------------------------------------- */ 859 /* 860 PCDestroy_GAMG - Destroys the private context for the GAMG preconditioner 861 that was created with PCCreate_GAMG(). 862 863 Input Parameter: 864 . pc - the preconditioner context 865 866 Application Interface Routine: PCDestroy() 867 */ 868 #undef __FUNCT__ 869 #define __FUNCT__ "PCDestroy_GAMG" 870 PetscErrorCode PCDestroy_GAMG( PC pc ) 871 { 872 PetscErrorCode ierr; 873 PC_MG *mg = (PC_MG*)pc->data; 874 PC_GAMG *pc_gamg= (PC_GAMG*)mg->innerctx; 875 876 PetscFunctionBegin; 877 ierr = PCReset_GAMG( pc );CHKERRQ(ierr); 878 ierr = PetscFree( pc_gamg );CHKERRQ(ierr); 879 ierr = PCDestroy_MG( pc );CHKERRQ(ierr); 880 PetscFunctionReturn(0); 881 } 882 883 884 #undef __FUNCT__ 885 #define __FUNCT__ "PCGAMGSetProcEqLim" 886 /*@ 887 PCGAMGSetProcEqLim - Set number of equations to aim for on coarse grids via 888 processor reduction. 889 890 Not Collective on PC 891 892 Input Parameters: 893 . pc - the preconditioner context 894 895 896 Options Database Key: 897 . -pc_gamg_process_eq_limit 898 899 Level: intermediate 900 901 Concepts: Unstructured multrigrid preconditioner 902 903 .seealso: () 904 @*/ 905 PetscErrorCode PCGAMGSetProcEqLim(PC pc, PetscInt n) 906 { 907 PetscErrorCode ierr; 908 909 PetscFunctionBegin; 910 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 911 ierr = PetscTryMethod(pc,"PCGAMGSetProcEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 912 PetscFunctionReturn(0); 913 } 914 915 EXTERN_C_BEGIN 916 #undef __FUNCT__ 917 #define __FUNCT__ "PCGAMGSetProcEqLim_GAMG" 918 PetscErrorCode PCGAMGSetProcEqLim_GAMG(PC pc, PetscInt n) 919 { 920 PC_MG *mg = (PC_MG*)pc->data; 921 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 922 923 PetscFunctionBegin; 924 if(n>0) pc_gamg->min_eq_proc = n; 925 PetscFunctionReturn(0); 926 } 927 EXTERN_C_END 928 929 #undef __FUNCT__ 930 #define __FUNCT__ "PCGAMGSetCoarseEqLim" 931 /*@ 932 PCGAMGSetCoarseEqLim - Set max number of equations on coarse grids. 933 934 Collective on PC 935 936 Input Parameters: 937 . pc - the preconditioner context 938 939 940 Options Database Key: 941 . -pc_gamg_coarse_eq_limit 942 943 Level: intermediate 944 945 Concepts: Unstructured multrigrid preconditioner 946 947 .seealso: () 948 @*/ 949 PetscErrorCode PCGAMGSetCoarseEqLim(PC pc, PetscInt n) 950 { 951 PetscErrorCode ierr; 952 953 PetscFunctionBegin; 954 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 955 ierr = PetscTryMethod(pc,"PCGAMGSetCoarseEqLim_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 956 PetscFunctionReturn(0); 957 } 958 959 EXTERN_C_BEGIN 960 #undef __FUNCT__ 961 #define __FUNCT__ "PCGAMGSetCoarseEqLim_GAMG" 962 PetscErrorCode PCGAMGSetCoarseEqLim_GAMG(PC pc, PetscInt n) 963 { 964 PC_MG *mg = (PC_MG*)pc->data; 965 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 966 967 PetscFunctionBegin; 968 if(n>0) pc_gamg->coarse_eq_limit = n; 969 PetscFunctionReturn(0); 970 } 971 EXTERN_C_END 972 973 #undef __FUNCT__ 974 #define __FUNCT__ "PCGAMGSetRepartitioning" 975 /*@ 976 PCGAMGSetRepartitioning - Repartition the coarse grids 977 978 Collective on PC 979 980 Input Parameters: 981 . pc - the preconditioner context 982 983 984 Options Database Key: 985 . -pc_gamg_repartition 986 987 Level: intermediate 988 989 Concepts: Unstructured multrigrid preconditioner 990 991 .seealso: () 992 @*/ 993 PetscErrorCode PCGAMGSetRepartitioning(PC pc, PetscBool n) 994 { 995 PetscErrorCode ierr; 996 997 PetscFunctionBegin; 998 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 999 ierr = PetscTryMethod(pc,"PCGAMGSetRepartitioning_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1000 PetscFunctionReturn(0); 1001 } 1002 1003 EXTERN_C_BEGIN 1004 #undef __FUNCT__ 1005 #define __FUNCT__ "PCGAMGSetRepartitioning_GAMG" 1006 PetscErrorCode PCGAMGSetRepartitioning_GAMG(PC pc, PetscBool n) 1007 { 1008 PC_MG *mg = (PC_MG*)pc->data; 1009 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1010 1011 PetscFunctionBegin; 1012 pc_gamg->repart = n; 1013 PetscFunctionReturn(0); 1014 } 1015 EXTERN_C_END 1016 1017 #undef __FUNCT__ 1018 #define __FUNCT__ "PCGAMGSetUseASMAggs" 1019 /*@ 1020 PCGAMGSetUseASMAggs - 1021 1022 Collective on PC 1023 1024 Input Parameters: 1025 . pc - the preconditioner context 1026 1027 1028 Options Database Key: 1029 . -pc_gamg_use_agg_gasm 1030 1031 Level: intermediate 1032 1033 Concepts: Unstructured multrigrid preconditioner 1034 1035 .seealso: () 1036 @*/ 1037 PetscErrorCode PCGAMGSetUseASMAggs(PC pc, PetscBool n) 1038 { 1039 PetscErrorCode ierr; 1040 1041 PetscFunctionBegin; 1042 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1043 ierr = PetscTryMethod(pc,"PCGAMGSetUseASMAggs_C",(PC,PetscBool),(pc,n));CHKERRQ(ierr); 1044 PetscFunctionReturn(0); 1045 } 1046 1047 EXTERN_C_BEGIN 1048 #undef __FUNCT__ 1049 #define __FUNCT__ "PCGAMGSetUseASMAggs_GAMG" 1050 PetscErrorCode PCGAMGSetUseASMAggs_GAMG(PC pc, PetscBool n) 1051 { 1052 PC_MG *mg = (PC_MG*)pc->data; 1053 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1054 1055 PetscFunctionBegin; 1056 pc_gamg->use_aggs_in_gasm = n; 1057 PetscFunctionReturn(0); 1058 } 1059 EXTERN_C_END 1060 1061 #undef __FUNCT__ 1062 #define __FUNCT__ "PCGAMGSetNlevels" 1063 /*@ 1064 PCGAMGSetNlevels - 1065 1066 Not collective on PC 1067 1068 Input Parameters: 1069 . pc - the preconditioner context 1070 1071 1072 Options Database Key: 1073 . -pc_mg_levels 1074 1075 Level: intermediate 1076 1077 Concepts: Unstructured multrigrid preconditioner 1078 1079 .seealso: () 1080 @*/ 1081 PetscErrorCode PCGAMGSetNlevels(PC pc, PetscInt n) 1082 { 1083 PetscErrorCode ierr; 1084 1085 PetscFunctionBegin; 1086 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1087 ierr = PetscTryMethod(pc,"PCGAMGSetNlevels_C",(PC,PetscInt),(pc,n));CHKERRQ(ierr); 1088 PetscFunctionReturn(0); 1089 } 1090 1091 EXTERN_C_BEGIN 1092 #undef __FUNCT__ 1093 #define __FUNCT__ "PCGAMGSetNlevels_GAMG" 1094 PetscErrorCode PCGAMGSetNlevels_GAMG(PC pc, PetscInt n) 1095 { 1096 PC_MG *mg = (PC_MG*)pc->data; 1097 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1098 1099 PetscFunctionBegin; 1100 pc_gamg->Nlevels = n; 1101 PetscFunctionReturn(0); 1102 } 1103 EXTERN_C_END 1104 1105 #undef __FUNCT__ 1106 #define __FUNCT__ "PCGAMGSetThreshold" 1107 /*@ 1108 PCGAMGSetThreshold - Relative threshold to use for dropping edges in aggregation graph 1109 1110 Not collective on PC 1111 1112 Input Parameters: 1113 . pc - the preconditioner context 1114 1115 1116 Options Database Key: 1117 . -pc_gamg_threshold 1118 1119 Level: intermediate 1120 1121 Concepts: Unstructured multrigrid preconditioner 1122 1123 .seealso: () 1124 @*/ 1125 PetscErrorCode PCGAMGSetThreshold(PC pc, PetscReal n) 1126 { 1127 PetscErrorCode ierr; 1128 1129 PetscFunctionBegin; 1130 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1131 ierr = PetscTryMethod(pc,"PCGAMGSetThreshold_C",(PC,PetscReal),(pc,n));CHKERRQ(ierr); 1132 PetscFunctionReturn(0); 1133 } 1134 1135 EXTERN_C_BEGIN 1136 #undef __FUNCT__ 1137 #define __FUNCT__ "PCGAMGSetThreshold_GAMG" 1138 PetscErrorCode PCGAMGSetThreshold_GAMG(PC pc, PetscReal n) 1139 { 1140 PC_MG *mg = (PC_MG*)pc->data; 1141 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1142 1143 PetscFunctionBegin; 1144 pc_gamg->threshold = n; 1145 PetscFunctionReturn(0); 1146 } 1147 EXTERN_C_END 1148 1149 #undef __FUNCT__ 1150 #define __FUNCT__ "PCGAMGSetType" 1151 /*@ 1152 PCGAMGSetType - Set solution method - calls sub create method 1153 1154 Collective on PC 1155 1156 Input Parameters: 1157 . pc - the preconditioner context 1158 1159 1160 Options Database Key: 1161 . -pc_gamg_type 1162 1163 Level: intermediate 1164 1165 Concepts: Unstructured multrigrid preconditioner 1166 1167 .seealso: () 1168 @*/ 1169 PetscErrorCode PCGAMGSetType( PC pc, const PCGAMGType type ) 1170 { 1171 PetscErrorCode ierr; 1172 1173 PetscFunctionBegin; 1174 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1175 ierr = PetscTryMethod(pc,"PCGAMGSetType_C",(PC,const PCGAMGType),(pc,type)); 1176 CHKERRQ(ierr); 1177 PetscFunctionReturn(0); 1178 } 1179 1180 EXTERN_C_BEGIN 1181 #undef __FUNCT__ 1182 #define __FUNCT__ "PCGAMGSetType_GAMG" 1183 PetscErrorCode PCGAMGSetType_GAMG( PC pc, const PCGAMGType type ) 1184 { 1185 PetscErrorCode ierr,(*r)(PC); 1186 1187 PetscFunctionBegin; 1188 ierr = PetscFListFind(GAMGList,((PetscObject)pc)->comm,type,PETSC_FALSE,(PetscVoidStarFunction)&r); 1189 CHKERRQ(ierr); 1190 1191 if (!r) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_UNKNOWN_TYPE,"Unknown GAMG type %s given",type); 1192 1193 /* call sub create method */ 1194 ierr = (*r)(pc); CHKERRQ(ierr); 1195 1196 PetscFunctionReturn(0); 1197 } 1198 EXTERN_C_END 1199 1200 #undef __FUNCT__ 1201 #define __FUNCT__ "PCSetFromOptions_GAMG" 1202 PetscErrorCode PCSetFromOptions_GAMG( PC pc ) 1203 { 1204 PetscErrorCode ierr; 1205 PC_MG *mg = (PC_MG*)pc->data; 1206 PC_GAMG *pc_gamg = (PC_GAMG*)mg->innerctx; 1207 PetscBool flag; 1208 MPI_Comm wcomm = ((PetscObject)pc)->comm; 1209 1210 PetscFunctionBegin; 1211 ierr = PetscOptionsHead("GAMG options"); CHKERRQ(ierr); 1212 { 1213 /* -pc_gamg_verbose */ 1214 ierr = PetscOptionsInt("-pc_gamg_verbose","Verbose (debugging) output for PCGAMG", 1215 "none", pc_gamg->verbose, 1216 &pc_gamg->verbose, PETSC_NULL ); 1217 CHKERRQ(ierr); 1218 1219 /* -pc_gamg_repartition */ 1220 ierr = PetscOptionsBool("-pc_gamg_repartition", 1221 "Repartion coarse grids (false)", 1222 "PCGAMGRepartitioning", 1223 pc_gamg->repart, 1224 &pc_gamg->repart, 1225 &flag); 1226 CHKERRQ(ierr); 1227 1228 /* -pc_gamg_use_agg_gasm */ 1229 ierr = PetscOptionsBool("-pc_gamg_use_agg_gasm", 1230 "Use aggregation agragates for GASM smoother (false)", 1231 "PCGAMGUseASMAggs", 1232 pc_gamg->use_aggs_in_gasm, 1233 &pc_gamg->use_aggs_in_gasm, 1234 &flag); 1235 CHKERRQ(ierr); 1236 1237 /* -pc_gamg_process_eq_limit */ 1238 ierr = PetscOptionsInt("-pc_gamg_process_eq_limit", 1239 "Limit (goal) on number of equations per process on coarse grids", 1240 "PCGAMGSetProcEqLim", 1241 pc_gamg->min_eq_proc, 1242 &pc_gamg->min_eq_proc, 1243 &flag ); 1244 CHKERRQ(ierr); 1245 1246 /* -pc_gamg_coarse_eq_limit */ 1247 ierr = PetscOptionsInt("-pc_gamg_coarse_eq_limit", 1248 "Limit on number of equations for the coarse grid", 1249 "PCGAMGSetCoarseEqLim", 1250 pc_gamg->coarse_eq_limit, 1251 &pc_gamg->coarse_eq_limit, 1252 &flag ); 1253 CHKERRQ(ierr); 1254 1255 /* -pc_gamg_threshold */ 1256 ierr = PetscOptionsReal("-pc_gamg_threshold", 1257 "Relative threshold to use for dropping edges in aggregation graph", 1258 "PCGAMGSetThreshold", 1259 pc_gamg->threshold, 1260 &pc_gamg->threshold, 1261 &flag ); 1262 CHKERRQ(ierr); 1263 if(flag && pc_gamg->verbose) PetscPrintf(wcomm,"\t[%d]%s threshold set %e\n",0,__FUNCT__,pc_gamg->threshold); 1264 1265 ierr = PetscOptionsInt("-pc_mg_levels", 1266 "Set number of MG levels", 1267 "PCGAMGSetNlevels", 1268 pc_gamg->Nlevels, 1269 &pc_gamg->Nlevels, 1270 &flag ); 1271 } 1272 ierr = PetscOptionsTail();CHKERRQ(ierr); 1273 1274 PetscFunctionReturn(0); 1275 } 1276 1277 /* -------------------------------------------------------------------------- */ 1278 /*MC 1279 PCCreate_GAMG - Geometric algebraic multigrid (AMG) preconditioning framework. 1280 - This is the entry point to GAMG, registered in pcregis.c 1281 1282 Options Database Keys: 1283 Multigrid options(inherited) 1284 + -pc_mg_cycles <1>: 1 for V cycle, 2 for W-cycle (PCMGSetCycleType) 1285 . -pc_mg_smoothup <1>: Number of post-smoothing steps (PCMGSetNumberSmoothUp) 1286 . -pc_mg_smoothdown <1>: Number of pre-smoothing steps (PCMGSetNumberSmoothDown) 1287 - -pc_mg_type <multiplicative>: (one of) additive multiplicative full cascade kascade 1288 1289 Level: intermediate 1290 1291 Concepts: multigrid 1292 1293 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC, PCMGType, 1294 PCMGSetLevels(), PCMGGetLevels(), PCMGSetType(), PCMGSetCycleType(), PCMGSetNumberSmoothDown(), 1295 PCMGSetNumberSmoothUp(), PCMGGetCoarseSolve(), PCMGSetResidual(), PCMGSetInterpolation(), 1296 PCMGSetRestriction(), PCMGGetSmoother(), PCMGGetSmootherUp(), PCMGGetSmootherDown(), 1297 PCMGSetCyclesOnLevel(), PCMGSetRhs(), PCMGSetX(), PCMGSetR() 1298 M*/ 1299 EXTERN_C_BEGIN 1300 #undef __FUNCT__ 1301 #define __FUNCT__ "PCCreate_GAMG" 1302 PetscErrorCode PCCreate_GAMG( PC pc ) 1303 { 1304 PetscErrorCode ierr; 1305 PC_GAMG *pc_gamg; 1306 PC_MG *mg; 1307 1308 #if defined PETSC_GAMG_USE_LOG 1309 static long count = 0; 1310 #endif 1311 1312 PetscFunctionBegin; 1313 /* PCGAMG is an inherited class of PCMG. Initialize pc as PCMG */ 1314 ierr = PCSetType( pc, PCMG ); CHKERRQ(ierr); /* calls PCCreate_MG() and MGCreate_Private() */ 1315 ierr = PetscObjectChangeTypeName( (PetscObject)pc, PCGAMG ); CHKERRQ(ierr); 1316 1317 /* create a supporting struct and attach it to pc */ 1318 ierr = PetscNewLog( pc, PC_GAMG, &pc_gamg ); CHKERRQ(ierr); 1319 mg = (PC_MG*)pc->data; 1320 mg->galerkin = 2; /* Use Galerkin, but it is computed externally */ 1321 mg->innerctx = pc_gamg; 1322 1323 pc_gamg->setup_count = 0; 1324 /* these should be in subctx but repartitioning needs simple arrays */ 1325 pc_gamg->data_sz = 0; 1326 pc_gamg->data = 0; 1327 1328 /* register AMG type */ 1329 if( !GAMGList ){ 1330 ierr = PetscFListAdd(&GAMGList,GAMGGEO,"PCCreateGAMG_GEO",(void(*)(void))PCCreateGAMG_GEO);CHKERRQ(ierr); 1331 ierr = PetscFListAdd(&GAMGList,GAMGAGG,"PCCreateGAMG_AGG",(void(*)(void))PCCreateGAMG_AGG);CHKERRQ(ierr); 1332 } 1333 1334 /* overwrite the pointers of PCMG by the functions of base class PCGAMG */ 1335 pc->ops->setfromoptions = PCSetFromOptions_GAMG; 1336 pc->ops->setup = PCSetUp_GAMG; 1337 pc->ops->reset = PCReset_GAMG; 1338 pc->ops->destroy = PCDestroy_GAMG; 1339 1340 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1341 "PCGAMGSetProcEqLim_C", 1342 "PCGAMGSetProcEqLim_GAMG", 1343 PCGAMGSetProcEqLim_GAMG); 1344 CHKERRQ(ierr); 1345 1346 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1347 "PCGAMGSetCoarseEqLim_C", 1348 "PCGAMGSetCoarseEqLim_GAMG", 1349 PCGAMGSetCoarseEqLim_GAMG); 1350 CHKERRQ(ierr); 1351 1352 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1353 "PCGAMGSetRepartitioning_C", 1354 "PCGAMGSetRepartitioning_GAMG", 1355 PCGAMGSetRepartitioning_GAMG); 1356 CHKERRQ(ierr); 1357 1358 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1359 "PCGAMGSetUseASMAggs_C", 1360 "PCGAMGSetUseASMAggs_GAMG", 1361 PCGAMGSetUseASMAggs_GAMG); 1362 CHKERRQ(ierr); 1363 1364 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1365 "PCGAMGSetThreshold_C", 1366 "PCGAMGSetThreshold_GAMG", 1367 PCGAMGSetThreshold_GAMG); 1368 CHKERRQ(ierr); 1369 1370 ierr = PetscObjectComposeFunctionDynamic( (PetscObject)pc, 1371 "PCGAMGSetType_C", 1372 "PCGAMGSetType_GAMG", 1373 PCGAMGSetType_GAMG); 1374 CHKERRQ(ierr); 1375 1376 pc_gamg->repart = PETSC_FALSE; 1377 pc_gamg->use_aggs_in_gasm = PETSC_FALSE; 1378 pc_gamg->min_eq_proc = 100; 1379 pc_gamg->coarse_eq_limit = 800; 1380 pc_gamg->threshold = 0.05; 1381 pc_gamg->Nlevels = GAMG_MAXLEVELS; 1382 pc_gamg->verbose = 0; 1383 pc_gamg->emax_id = -1; 1384 pc_gamg->col_bs_id = -1; 1385 1386 /* instantiate derived type */ 1387 ierr = PetscOptionsHead("GAMG options"); CHKERRQ(ierr); 1388 { 1389 char tname[256] = GAMGAGG; 1390 ierr = PetscOptionsList("-pc_gamg_type","Type of GAMG method","PCGAMGSetType", 1391 GAMGList, tname, tname, sizeof(tname), PETSC_NULL ); 1392 CHKERRQ(ierr); 1393 ierr = PCGAMGSetType( pc, tname ); CHKERRQ(ierr); 1394 } 1395 ierr = PetscOptionsTail();CHKERRQ(ierr); 1396 1397 /* private events */ 1398 #if defined PETSC_GAMG_USE_LOG 1399 if( count++ == 0 ) { 1400 PetscLogEventRegister("GAMG: createProl", PC_CLASSID, &petsc_gamg_setup_events[SET1]); 1401 PetscLogEventRegister(" Graph", PC_CLASSID, &petsc_gamg_setup_events[GRAPH]); 1402 /* PetscLogEventRegister(" G.Mat", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_MAT]); */ 1403 /* PetscLogEventRegister(" G.Filter", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_FILTER]); */ 1404 /* PetscLogEventRegister(" G.Square", PC_CLASSID, &petsc_gamg_setup_events[GRAPH_SQR]); */ 1405 PetscLogEventRegister(" MIS/Agg", PC_CLASSID, &petsc_gamg_setup_events[SET4]); 1406 PetscLogEventRegister(" geo: growSupp", PC_CLASSID, &petsc_gamg_setup_events[SET5]); 1407 PetscLogEventRegister(" geo: triangle", PC_CLASSID, &petsc_gamg_setup_events[SET6]); 1408 PetscLogEventRegister(" search&set", PC_CLASSID, &petsc_gamg_setup_events[FIND_V]); 1409 PetscLogEventRegister(" SA: colect data", PC_CLASSID, &petsc_gamg_setup_events[SET7]); 1410 PetscLogEventRegister(" SA: frmProl0", PC_CLASSID, &petsc_gamg_setup_events[SET8]); 1411 PetscLogEventRegister(" SA: smooth", PC_CLASSID, &petsc_gamg_setup_events[SET9]); 1412 PetscLogEventRegister("GAMG: partLevel", PC_CLASSID, &petsc_gamg_setup_events[SET2]); 1413 PetscLogEventRegister(" repartition", PC_CLASSID, &petsc_gamg_setup_events[SET12]); 1414 PetscLogEventRegister(" Invert-Sort", PC_CLASSID, &petsc_gamg_setup_events[SET13]); 1415 PetscLogEventRegister(" Move A", PC_CLASSID, &petsc_gamg_setup_events[SET14]); 1416 PetscLogEventRegister(" Move P", PC_CLASSID, &petsc_gamg_setup_events[SET15]); 1417 1418 /* PetscLogEventRegister(" PL move data", PC_CLASSID, &petsc_gamg_setup_events[SET13]); */ 1419 /* PetscLogEventRegister("GAMG: fix", PC_CLASSID, &petsc_gamg_setup_events[SET10]); */ 1420 /* PetscLogEventRegister("GAMG: set levels", PC_CLASSID, &petsc_gamg_setup_events[SET11]); */ 1421 /* create timer stages */ 1422 #if defined GAMG_STAGES 1423 { 1424 char str[32]; 1425 sprintf(str,"MG Level %d (finest)",0); 1426 PetscLogStageRegister(str, &gamg_stages[0]); 1427 PetscInt lidx; 1428 for (lidx=1;lidx<9;lidx++){ 1429 sprintf(str,"MG Level %d",lidx); 1430 PetscLogStageRegister(str, &gamg_stages[lidx]); 1431 } 1432 } 1433 #endif 1434 } 1435 #endif 1436 /* general events */ 1437 #if defined PETSC_USE_LOG 1438 PetscLogEventRegister("PCGAMGgraph_AGG", PC_CLASSID, &PC_GAMGGgraph_AGG); 1439 PetscLogEventRegister("PCGAMGgraph_GEO", PC_CLASSID, &PC_GAMGGgraph_GEO); 1440 PetscLogEventRegister("PCGAMGcoarse_AGG", PC_CLASSID, &PC_GAMGCoarsen_AGG); 1441 PetscLogEventRegister("PCGAMGcoarse_GEO", PC_CLASSID, &PC_GAMGCoarsen_GEO); 1442 PetscLogEventRegister("PCGAMGProl_AGG", PC_CLASSID, &PC_GAMGProlongator_AGG); 1443 PetscLogEventRegister("PCGAMGProl_GEO", PC_CLASSID, &PC_GAMGProlongator_GEO); 1444 PetscLogEventRegister("PCGAMGProlOpt_AGG", PC_CLASSID, &PC_GAMGOptprol_AGG); 1445 #endif 1446 1447 PetscFunctionReturn(0); 1448 } 1449 EXTERN_C_END 1450