1 2 /* 3 Defines projective product routines where A is a MPIAIJ matrix 4 C = P^T * A * P 5 */ 6 7 #include <../src/mat/impls/aij/seq/aij.h> /*I "petscmat.h" I*/ 8 #include <../src/mat/utils/freespace.h> 9 #include <../src/mat/impls/aij/mpi/mpiaij.h> 10 #include <petscbt.h> 11 #include <petsctime.h> 12 13 /* #define PTAP_PROFILE */ 14 15 extern PetscErrorCode MatDestroy_MPIAIJ(Mat); 16 PetscErrorCode MatDestroy_MPIAIJ_PtAP(Mat A) 17 { 18 PetscErrorCode ierr; 19 Mat_MPIAIJ *a=(Mat_MPIAIJ*)A->data; 20 Mat_PtAPMPI *ptap=a->ptap; 21 22 PetscFunctionBegin; 23 if (ptap) { 24 Mat_Merge_SeqsToMPI *merge=ptap->merge; 25 ierr = PetscFree2(ptap->startsj_s,ptap->startsj_r);CHKERRQ(ierr); 26 ierr = PetscFree(ptap->bufa);CHKERRQ(ierr); 27 ierr = MatDestroy(&ptap->P_loc);CHKERRQ(ierr); 28 ierr = MatDestroy(&ptap->P_oth);CHKERRQ(ierr); 29 ierr = MatDestroy(&ptap->A_loc);CHKERRQ(ierr); /* used by MatTransposeMatMult() */ 30 ierr = MatDestroy(&ptap->Rd);CHKERRQ(ierr); 31 ierr = MatDestroy(&ptap->Ro);CHKERRQ(ierr); 32 if (ptap->AP_loc) { /* used by alg_rap */ 33 Mat_SeqAIJ *ap = (Mat_SeqAIJ*)(ptap->AP_loc)->data; 34 ierr = PetscFree(ap->i);CHKERRQ(ierr); 35 ierr = PetscFree2(ap->j,ap->a);CHKERRQ(ierr); 36 ierr = MatDestroy(&ptap->AP_loc);CHKERRQ(ierr); 37 } else { /* used by alg_ptap */ 38 ierr = PetscFree(ptap->api);CHKERRQ(ierr); 39 ierr = PetscFree(ptap->apj);CHKERRQ(ierr); 40 } 41 ierr = MatDestroy(&ptap->C_loc);CHKERRQ(ierr); 42 ierr = MatDestroy(&ptap->C_oth);CHKERRQ(ierr); 43 if (ptap->apa) {ierr = PetscFree(ptap->apa);CHKERRQ(ierr);} 44 45 if (merge) { /* used by alg_ptap */ 46 ierr = PetscFree(merge->id_r);CHKERRQ(ierr); 47 ierr = PetscFree(merge->len_s);CHKERRQ(ierr); 48 ierr = PetscFree(merge->len_r);CHKERRQ(ierr); 49 ierr = PetscFree(merge->bi);CHKERRQ(ierr); 50 ierr = PetscFree(merge->bj);CHKERRQ(ierr); 51 ierr = PetscFree(merge->buf_ri[0]);CHKERRQ(ierr); 52 ierr = PetscFree(merge->buf_ri);CHKERRQ(ierr); 53 ierr = PetscFree(merge->buf_rj[0]);CHKERRQ(ierr); 54 ierr = PetscFree(merge->buf_rj);CHKERRQ(ierr); 55 ierr = PetscFree(merge->coi);CHKERRQ(ierr); 56 ierr = PetscFree(merge->coj);CHKERRQ(ierr); 57 ierr = PetscFree(merge->owners_co);CHKERRQ(ierr); 58 ierr = PetscLayoutDestroy(&merge->rowmap);CHKERRQ(ierr); 59 ierr = PetscFree(ptap->merge);CHKERRQ(ierr); 60 } 61 62 ierr = ptap->destroy(A);CHKERRQ(ierr); 63 ierr = PetscFree(ptap);CHKERRQ(ierr); 64 } 65 PetscFunctionReturn(0); 66 } 67 68 PetscErrorCode MatDuplicate_MPIAIJ_MatPtAP(Mat A, MatDuplicateOption op, Mat *M) 69 { 70 PetscErrorCode ierr; 71 Mat_MPIAIJ *a = (Mat_MPIAIJ*)A->data; 72 Mat_PtAPMPI *ptap = a->ptap; 73 74 PetscFunctionBegin; 75 ierr = (*ptap->duplicate)(A,op,M);CHKERRQ(ierr); 76 (*M)->ops->destroy = ptap->destroy; 77 (*M)->ops->duplicate = ptap->duplicate; 78 PetscFunctionReturn(0); 79 } 80 81 PETSC_INTERN PetscErrorCode MatPtAP_MPIAIJ_MPIAIJ(Mat A,Mat P,MatReuse scall,PetscReal fill,Mat *C) 82 { 83 PetscErrorCode ierr; 84 PetscBool rap=PETSC_TRUE; /* do R=P^T locally, then C=R*A*P */ 85 MPI_Comm comm; 86 87 PetscFunctionBegin; 88 /* check if matrix local sizes are compatible */ 89 ierr = PetscObjectGetComm((PetscObject)A,&comm);CHKERRQ(ierr); 90 if (A->rmap->rstart != P->rmap->rstart || A->rmap->rend != P->rmap->rend) SETERRQ4(comm,PETSC_ERR_ARG_SIZ,"Matrix local dimensions are incompatible, Arow (%D, %D) != Prow (%D,%D)",A->rmap->rstart,A->rmap->rend,P->rmap->rstart,P->rmap->rend); 91 if (A->cmap->rstart != P->rmap->rstart || A->cmap->rend != P->rmap->rend) SETERRQ4(comm,PETSC_ERR_ARG_SIZ,"Matrix local dimensions are incompatible, Acol (%D, %D) != Prow (%D,%D)",A->cmap->rstart,A->cmap->rend,P->rmap->rstart,P->rmap->rend); 92 93 ierr = PetscOptionsGetBool(NULL,NULL,"-matrap",&rap,NULL);CHKERRQ(ierr); 94 if (scall == MAT_INITIAL_MATRIX) { 95 ierr = PetscLogEventBegin(MAT_PtAPSymbolic,A,P,0,0);CHKERRQ(ierr); 96 if (rap) { /* do R=P^T locally, then C=R*A*P */ 97 ierr = MatPtAPSymbolic_MPIAIJ_MPIAIJ(A,P,fill,C);CHKERRQ(ierr); 98 } else { /* do P^T*A*P */ 99 ierr = MatPtAPSymbolic_MPIAIJ_MPIAIJ_ptap(A,P,fill,C);CHKERRQ(ierr); 100 } 101 ierr = PetscLogEventEnd(MAT_PtAPSymbolic,A,P,0,0);CHKERRQ(ierr); 102 } 103 ierr = PetscLogEventBegin(MAT_PtAPNumeric,A,P,0,0);CHKERRQ(ierr); 104 ierr = (*(*C)->ops->ptapnumeric)(A,P,*C);CHKERRQ(ierr); 105 ierr = PetscLogEventEnd(MAT_PtAPNumeric,A,P,0,0);CHKERRQ(ierr); 106 PetscFunctionReturn(0); 107 } 108 109 #if defined(PETSC_HAVE_HYPRE) 110 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_AIJ_AIJ_wHYPRE(Mat,Mat,PetscReal,Mat*); 111 #endif 112 113 PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_scalable(Mat A,Mat P,PetscReal fill,Mat *C) 114 { 115 PetscErrorCode ierr; 116 Mat_PtAPMPI *ptap; 117 Mat_MPIAIJ *a=(Mat_MPIAIJ*)A->data,*p=(Mat_MPIAIJ*)P->data,*c; 118 MPI_Comm comm; 119 PetscMPIInt size,rank; 120 Mat Cmpi; 121 PetscFreeSpaceList free_space=NULL,current_space=NULL; 122 PetscInt am=A->rmap->n,pm=P->rmap->n,pN=P->cmap->N,pn=P->cmap->n; 123 PetscInt *lnk,i,k,pnz,row,nsend; 124 PetscBT lnkbt; 125 PetscMPIInt tagi,tagj,*len_si,*len_s,*len_ri,icompleted=0,nrecv; 126 PetscInt **buf_rj,**buf_ri,**buf_ri_k; 127 PetscInt len,proc,*dnz,*onz,*owners,nzi,nspacedouble; 128 PetscInt nrows,*buf_s,*buf_si,*buf_si_i,**nextrow,**nextci; 129 MPI_Request *swaits,*rwaits; 130 MPI_Status *sstatus,rstatus; 131 PetscLayout rowmap; 132 PetscInt *owners_co,*coi,*coj; /* i and j array of (p->B)^T*A*P - used in the communication */ 133 PetscMPIInt *len_r,*id_r; /* array of length of comm->size, store send/recv matrix values */ 134 PetscInt *api,*apj,*Jptr,apnz,*prmap=p->garray,con,j,ap_rmax=0,Crmax,*aj,*ai,*pi; 135 Mat_SeqAIJ *p_loc,*p_oth,*ad=(Mat_SeqAIJ*)(a->A)->data,*ao=(Mat_SeqAIJ*)(a->B)->data,*c_loc,*c_oth; 136 PetscScalar *apv; 137 PetscTable ta; 138 #if defined(PETSC_USE_INFO) 139 PetscReal apfill; 140 #endif 141 #if defined(PTAP_PROFILE) 142 PetscLogDouble t0,t1,t11,t12,t2,t3,t4; 143 #endif 144 145 PetscFunctionBegin; 146 ierr = PetscObjectGetComm((PetscObject)A,&comm);CHKERRQ(ierr); 147 ierr = MPI_Comm_size(comm,&size);CHKERRQ(ierr); 148 ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); 149 if (!rank) printf(" MatPtAPSymbolic_MPIAIJ_MPIAIJ_scalable...\n"); 150 151 /* create symbolic parallel matrix Cmpi */ 152 ierr = MatCreate(comm,&Cmpi);CHKERRQ(ierr); 153 ierr = MatSetType(Cmpi,MATMPIAIJ);CHKERRQ(ierr); 154 155 #if defined(PTAP_PROFILE) 156 ierr = PetscTime(&t0);CHKERRQ(ierr); 157 #endif 158 159 /* create struct Mat_PtAPMPI and attached it to C later */ 160 ierr = PetscNew(&ptap);CHKERRQ(ierr); 161 ptap->reuse = MAT_INITIAL_MATRIX; 162 163 /* get P_oth by taking rows of P (= non-zero cols of local A) from other processors */ 164 ierr = MatGetBrowsOfAoCols_MPIAIJ(A,P,MAT_INITIAL_MATRIX,&ptap->startsj_s,&ptap->startsj_r,&ptap->bufa,&ptap->P_oth);CHKERRQ(ierr); 165 /* get P_loc by taking all local rows of P */ 166 ierr = MatMPIAIJGetLocalMat(P,MAT_INITIAL_MATRIX,&ptap->P_loc);CHKERRQ(ierr); 167 168 /* (0) compute Rd = Pd^T, Ro = Po^T */ 169 /* --------------------------------- */ 170 ierr = MatTranspose_SeqAIJ(p->A,MAT_INITIAL_MATRIX,&ptap->Rd);CHKERRQ(ierr); 171 ierr = MatTranspose_SeqAIJ(p->B,MAT_INITIAL_MATRIX,&ptap->Ro);CHKERRQ(ierr); 172 #if defined(PTAP_PROFILE) 173 ierr = PetscTime(&t11);CHKERRQ(ierr); 174 #endif 175 176 /* (1) compute symbolic AP = A_loc*P = Ad*P_loc + Ao*P_oth (api,apj) */ 177 /* ----------------------------------------------------------------- */ 178 p_loc = (Mat_SeqAIJ*)(ptap->P_loc)->data; 179 p_oth = (Mat_SeqAIJ*)(ptap->P_oth)->data; 180 181 /* create and initialize a linked list */ 182 ierr = PetscTableCreate(pn,pN,&ta);CHKERRQ(ierr); /* for compute AP_loc and Cmpi */ 183 MatRowMergeMax_SeqAIJ(p_loc,ptap->P_loc->rmap->N,ta); 184 MatRowMergeMax_SeqAIJ(p_oth,ptap->P_oth->rmap->N,ta); 185 ierr = PetscTableGetCount(ta,&Crmax);CHKERRQ(ierr); /* Crmax = nnz(sum of Prows) */ 186 /* printf("[%d] est %d, Crmax %d; pN %d\n",rank,5*(p_loc->rmax+p_oth->rmax + (PetscInt)(1.e-2*pN)),Crmax,pN); */ 187 188 ierr = PetscLLCondensedCreate(Crmax,pN,&lnk,&lnkbt);CHKERRQ(ierr); 189 190 /* Initial FreeSpace size is fill*(nnz(A) + nnz(P)) */ 191 ierr = PetscFreeSpaceGet(PetscRealIntMultTruncate(fill,PetscIntSumTruncate(ad->i[am],PetscIntSumTruncate(ao->i[am],p_loc->i[pm]))),&free_space);CHKERRQ(ierr); 192 current_space = free_space; 193 nspacedouble = 0; 194 195 ierr = PetscMalloc1(am+1,&api);CHKERRQ(ierr); 196 api[0] = 0; 197 for (i=0; i<am; i++) { 198 /* diagonal portion: Ad[i,:]*P */ 199 ai = ad->i; pi = p_loc->i; 200 nzi = ai[i+1] - ai[i]; 201 aj = ad->j + ai[i]; 202 for (j=0; j<nzi; j++) { 203 row = aj[j]; 204 pnz = pi[row+1] - pi[row]; 205 Jptr = p_loc->j + pi[row]; 206 /* add non-zero cols of P into the sorted linked list lnk */ 207 ierr = PetscLLCondensedAddSorted(pnz,Jptr,lnk,lnkbt);CHKERRQ(ierr); 208 } 209 /* off-diagonal portion: Ao[i,:]*P */ 210 ai = ao->i; pi = p_oth->i; 211 nzi = ai[i+1] - ai[i]; 212 aj = ao->j + ai[i]; 213 for (j=0; j<nzi; j++) { 214 row = aj[j]; 215 pnz = pi[row+1] - pi[row]; 216 Jptr = p_oth->j + pi[row]; 217 ierr = PetscLLCondensedAddSorted(pnz,Jptr,lnk,lnkbt);CHKERRQ(ierr); 218 } 219 apnz = lnk[0]; 220 api[i+1] = api[i] + apnz; 221 if (ap_rmax < apnz) ap_rmax = apnz; 222 223 /* if free space is not available, double the total space in the list */ 224 if (current_space->local_remaining<apnz) { 225 ierr = PetscFreeSpaceGet(PetscIntSumTruncate(apnz,current_space->total_array_size),¤t_space);CHKERRQ(ierr); 226 nspacedouble++; 227 } 228 229 /* Copy data into free space, then initialize lnk */ 230 ierr = PetscLLCondensedClean(pN,apnz,current_space->array,lnk,lnkbt);CHKERRQ(ierr); 231 232 current_space->array += apnz; 233 current_space->local_used += apnz; 234 current_space->local_remaining -= apnz; 235 } 236 /* Allocate space for apj and apv, initialize apj, and */ 237 /* destroy list of free space and other temporary array(s) */ 238 ierr = PetscMalloc2(api[am],&apj,api[am],&apv);CHKERRQ(ierr); 239 ierr = PetscFreeSpaceContiguous(&free_space,apj);CHKERRQ(ierr); 240 ierr = PetscLLDestroy(lnk,lnkbt);CHKERRQ(ierr); 241 242 /* Create AP_loc for reuse */ 243 ierr = MatCreateSeqAIJWithArrays(PETSC_COMM_SELF,am,pN,api,apj,apv,&ptap->AP_loc);CHKERRQ(ierr); 244 245 #if defined(PETSC_USE_INFO) 246 apfill = (PetscReal)api[am]/(ad->i[am]+ao->i[am]+p_loc->i[pm]+1); 247 ptap->AP_loc->info.mallocs = nspacedouble; 248 ptap->AP_loc->info.fill_ratio_given = fill; 249 ptap->AP_loc->info.fill_ratio_needed = apfill; 250 251 if (api[am]) { 252 ierr = PetscInfo3(ptap->AP_loc,"AP_loc reallocs %D; Fill ratio: given %g needed %g.\n",nspacedouble,(double)fill,(double)apfill);CHKERRQ(ierr); 253 ierr = PetscInfo1(ptap->AP_loc,"Use MatPtAP(A,B,MatReuse,%g,&C) for best AP_loc performance.;\n",(double)apfill);CHKERRQ(ierr); 254 } else { 255 ierr = PetscInfo(ptap->AP_loc,"AP_loc is empty \n");CHKERRQ(ierr); 256 } 257 #endif 258 259 #if defined(PTAP_PROFILE) 260 ierr = PetscTime(&t12);CHKERRQ(ierr); 261 #endif 262 263 /* (2-1) compute symbolic Co = Ro*AP_loc */ 264 /* ------------------------------------ */ 265 ierr = MatMatMultSymbolic_SeqAIJ_SeqAIJ(ptap->Ro,ptap->AP_loc,fill,&ptap->C_oth);CHKERRQ(ierr); 266 #if defined(PTAP_PROFILE) 267 ierr = PetscTime(&t1);CHKERRQ(ierr); 268 #endif 269 270 /* (3) send coj of C_oth to other processors */ 271 /* ------------------------------------------ */ 272 /* determine row ownership */ 273 ierr = PetscLayoutCreate(comm,&rowmap);CHKERRQ(ierr); 274 rowmap->n = pn; 275 rowmap->bs = 1; 276 ierr = PetscLayoutSetUp(rowmap);CHKERRQ(ierr); 277 owners = rowmap->range; 278 279 /* determine the number of messages to send, their lengths */ 280 ierr = PetscMalloc4(size,&len_s,size,&len_si,size,&sstatus,size+2,&owners_co);CHKERRQ(ierr); 281 ierr = PetscMemzero(len_s,size*sizeof(PetscMPIInt));CHKERRQ(ierr); 282 ierr = PetscMemzero(len_si,size*sizeof(PetscMPIInt));CHKERRQ(ierr); 283 284 c_oth = (Mat_SeqAIJ*)ptap->C_oth->data; 285 coi = c_oth->i; coj = c_oth->j; 286 con = ptap->C_oth->rmap->n; 287 proc = 0; 288 for (i=0; i<con; i++) { 289 while (prmap[i] >= owners[proc+1]) proc++; 290 len_si[proc]++; /* num of rows in Co(=Pt*AP) to be sent to [proc] */ 291 len_s[proc] += coi[i+1] - coi[i]; /* num of nonzeros in Co to be sent to [proc] */ 292 } 293 294 len = 0; /* max length of buf_si[], see (4) */ 295 owners_co[0] = 0; 296 nsend = 0; 297 for (proc=0; proc<size; proc++) { 298 owners_co[proc+1] = owners_co[proc] + len_si[proc]; 299 if (len_s[proc]) { 300 nsend++; 301 len_si[proc] = 2*(len_si[proc] + 1); /* length of buf_si to be sent to [proc] */ 302 len += len_si[proc]; 303 } 304 } 305 306 /* determine the number and length of messages to receive for coi and coj */ 307 ierr = PetscGatherNumberOfMessages(comm,NULL,len_s,&nrecv);CHKERRQ(ierr); 308 ierr = PetscGatherMessageLengths2(comm,nsend,nrecv,len_s,len_si,&id_r,&len_r,&len_ri);CHKERRQ(ierr); 309 310 /* post the Irecv and Isend of coj */ 311 ierr = PetscCommGetNewTag(comm,&tagj);CHKERRQ(ierr); 312 ierr = PetscPostIrecvInt(comm,tagj,nrecv,id_r,len_r,&buf_rj,&rwaits);CHKERRQ(ierr); 313 ierr = PetscMalloc1(nsend+1,&swaits);CHKERRQ(ierr); 314 for (proc=0, k=0; proc<size; proc++) { 315 if (!len_s[proc]) continue; 316 i = owners_co[proc]; 317 ierr = MPI_Isend(coj+coi[i],len_s[proc],MPIU_INT,proc,tagj,comm,swaits+k);CHKERRQ(ierr); 318 k++; 319 } 320 321 /* (2-2) compute symbolic C_loc = Rd*AP_loc */ 322 /* ---------------------------------------- */ 323 ierr = MatMatMultSymbolic_SeqAIJ_SeqAIJ(ptap->Rd,ptap->AP_loc,fill,&ptap->C_loc);CHKERRQ(ierr); 324 c_loc = (Mat_SeqAIJ*)ptap->C_loc->data; 325 326 /* receives coj are complete */ 327 for (i=0; i<nrecv; i++) { 328 ierr = MPI_Waitany(nrecv,rwaits,&icompleted,&rstatus);CHKERRQ(ierr); 329 } 330 ierr = PetscFree(rwaits);CHKERRQ(ierr); 331 if (nsend) {ierr = MPI_Waitall(nsend,swaits,sstatus);CHKERRQ(ierr);} 332 333 /* add received column indices into ta to update Crmax */ 334 for (k=0; k<nrecv; k++) {/* k-th received message */ 335 Jptr = buf_rj[k]; 336 for (j=0; j<len_r[k]; j++) { 337 ierr = PetscTableAdd(ta,*(Jptr+j)+1,1,INSERT_VALUES);CHKERRQ(ierr); 338 } 339 } 340 ierr = PetscTableGetCount(ta,&Crmax);CHKERRQ(ierr); 341 ierr = PetscTableDestroy(&ta);CHKERRQ(ierr); 342 343 /* (4) send and recv coi */ 344 /*-----------------------*/ 345 ierr = PetscCommGetNewTag(comm,&tagi);CHKERRQ(ierr); 346 ierr = PetscPostIrecvInt(comm,tagi,nrecv,id_r,len_ri,&buf_ri,&rwaits);CHKERRQ(ierr); 347 ierr = PetscMalloc1(len+1,&buf_s);CHKERRQ(ierr); 348 buf_si = buf_s; /* points to the beginning of k-th msg to be sent */ 349 for (proc=0,k=0; proc<size; proc++) { 350 if (!len_s[proc]) continue; 351 /* form outgoing message for i-structure: 352 buf_si[0]: nrows to be sent 353 [1:nrows]: row index (global) 354 [nrows+1:2*nrows+1]: i-structure index 355 */ 356 /*-------------------------------------------*/ 357 nrows = len_si[proc]/2 - 1; /* num of rows in Co to be sent to [proc] */ 358 buf_si_i = buf_si + nrows+1; 359 buf_si[0] = nrows; 360 buf_si_i[0] = 0; 361 nrows = 0; 362 for (i=owners_co[proc]; i<owners_co[proc+1]; i++) { 363 nzi = coi[i+1] - coi[i]; 364 buf_si_i[nrows+1] = buf_si_i[nrows] + nzi; /* i-structure */ 365 buf_si[nrows+1] = prmap[i] -owners[proc]; /* local row index */ 366 nrows++; 367 } 368 ierr = MPI_Isend(buf_si,len_si[proc],MPIU_INT,proc,tagi,comm,swaits+k);CHKERRQ(ierr); 369 k++; 370 buf_si += len_si[proc]; 371 } 372 for (i=0; i<nrecv; i++) { 373 ierr = MPI_Waitany(nrecv,rwaits,&icompleted,&rstatus);CHKERRQ(ierr); 374 } 375 ierr = PetscFree(rwaits);CHKERRQ(ierr); 376 if (nsend) {ierr = MPI_Waitall(nsend,swaits,sstatus);CHKERRQ(ierr);} 377 378 ierr = PetscFree4(len_s,len_si,sstatus,owners_co);CHKERRQ(ierr); 379 ierr = PetscFree(len_ri);CHKERRQ(ierr); 380 ierr = PetscFree(swaits);CHKERRQ(ierr); 381 ierr = PetscFree(buf_s);CHKERRQ(ierr); 382 #if defined(PTAP_PROFILE) 383 ierr = PetscTime(&t2);CHKERRQ(ierr); 384 #endif 385 /* (5) compute the local portion of Cmpi */ 386 /* ------------------------------------------ */ 387 /* set initial free space to be Crmax, sufficient for holding nozeros in each row of Cmpi */ 388 ierr = PetscFreeSpaceGet(Crmax,&free_space);CHKERRQ(ierr); 389 current_space = free_space; 390 391 ierr = PetscMalloc3(nrecv,&buf_ri_k,nrecv,&nextrow,nrecv,&nextci);CHKERRQ(ierr); 392 for (k=0; k<nrecv; k++) { 393 buf_ri_k[k] = buf_ri[k]; /* beginning of k-th recved i-structure */ 394 nrows = *buf_ri_k[k]; 395 nextrow[k] = buf_ri_k[k] + 1; /* next row number of k-th recved i-structure */ 396 nextci[k] = buf_ri_k[k] + (nrows + 1); /* poins to the next i-structure of k-th recved i-structure */ 397 } 398 399 ierr = MatPreallocateInitialize(comm,pn,pn,dnz,onz);CHKERRQ(ierr); 400 ierr = PetscLLCondensedCreate(Crmax,pN,&lnk,&lnkbt);CHKERRQ(ierr); 401 for (i=0; i<pn; i++) { 402 /* add C_loc into Cmpi */ 403 nzi = c_loc->i[i+1] - c_loc->i[i]; 404 Jptr = c_loc->j + c_loc->i[i]; 405 ierr = PetscLLCondensedAddSorted(nzi,Jptr,lnk,lnkbt);CHKERRQ(ierr); 406 407 /* add received col data into lnk */ 408 for (k=0; k<nrecv; k++) { /* k-th received message */ 409 if (i == *nextrow[k]) { /* i-th row */ 410 nzi = *(nextci[k]+1) - *nextci[k]; 411 Jptr = buf_rj[k] + *nextci[k]; 412 ierr = PetscLLCondensedAddSorted(nzi,Jptr,lnk,lnkbt);CHKERRQ(ierr); 413 nextrow[k]++; nextci[k]++; 414 } 415 } 416 nzi = lnk[0]; 417 418 /* copy data into free space, then initialize lnk */ 419 ierr = PetscLLCondensedClean(pN,nzi,current_space->array,lnk,lnkbt);CHKERRQ(ierr); 420 ierr = MatPreallocateSet(i+owners[rank],nzi,current_space->array,dnz,onz);CHKERRQ(ierr); 421 } 422 ierr = PetscFree3(buf_ri_k,nextrow,nextci);CHKERRQ(ierr); 423 ierr = PetscLLDestroy(lnk,lnkbt);CHKERRQ(ierr); 424 ierr = PetscFreeSpaceDestroy(free_space);CHKERRQ(ierr); 425 #if defined(PTAP_PROFILE) 426 ierr = PetscTime(&t3);CHKERRQ(ierr); 427 #endif 428 429 /* local sizes and preallocation */ 430 ierr = MatSetSizes(Cmpi,pn,pn,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); 431 ierr = MatSetBlockSizes(Cmpi,PetscAbs(P->cmap->bs),PetscAbs(P->cmap->bs));CHKERRQ(ierr); 432 ierr = MatMPIAIJSetPreallocation(Cmpi,0,dnz,0,onz);CHKERRQ(ierr); 433 ierr = MatPreallocateFinalize(dnz,onz);CHKERRQ(ierr); 434 435 /* members in merge */ 436 ierr = PetscFree(id_r);CHKERRQ(ierr); 437 ierr = PetscFree(len_r);CHKERRQ(ierr); 438 ierr = PetscFree(buf_ri[0]);CHKERRQ(ierr); 439 ierr = PetscFree(buf_ri);CHKERRQ(ierr); 440 ierr = PetscFree(buf_rj[0]);CHKERRQ(ierr); 441 ierr = PetscFree(buf_rj);CHKERRQ(ierr); 442 ierr = PetscLayoutDestroy(&rowmap);CHKERRQ(ierr); 443 444 /* attach the supporting struct to Cmpi for reuse */ 445 c = (Mat_MPIAIJ*)Cmpi->data; 446 c->ptap = ptap; 447 ptap->duplicate = Cmpi->ops->duplicate; 448 ptap->destroy = Cmpi->ops->destroy; 449 450 //if (alg == 1) { 451 ierr = PetscCalloc1(pN,&ptap->apa);CHKERRQ(ierr); 452 //} 453 454 /* Cmpi is not ready for use - assembly will be done by MatPtAPNumeric() */ 455 Cmpi->assembled = PETSC_FALSE; 456 Cmpi->ops->destroy = MatDestroy_MPIAIJ_PtAP; 457 Cmpi->ops->duplicate = MatDuplicate_MPIAIJ_MatPtAP; 458 *C = Cmpi; 459 460 #if defined(PTAP_PROFILE) 461 ierr = PetscTime(&t4);CHKERRQ(ierr); 462 if (rank == 1) { 463 printf("PtAPSym: %g + %g + %g + %g + %g + %g = %g\n",t11-t0,t1-t11,t12-t11,t2-t2,t3-t2,t4-t3,t4-t0); 464 } 465 #endif 466 PetscFunctionReturn(0); 467 } 468 469 PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ(Mat A,Mat P,PetscReal fill,Mat *C) 470 { 471 PetscErrorCode ierr; 472 Mat_PtAPMPI *ptap; 473 Mat_MPIAIJ *a=(Mat_MPIAIJ*)A->data,*p=(Mat_MPIAIJ*)P->data,*c; 474 MPI_Comm comm; 475 PetscMPIInt size,rank; 476 Mat Cmpi; 477 PetscFreeSpaceList free_space=NULL,current_space=NULL; 478 PetscInt am=A->rmap->n,pm=P->rmap->n,pN=P->cmap->N,pn=P->cmap->n; 479 PetscInt *lnk,i,k,pnz,row,nsend; 480 PetscBT lnkbt; 481 PetscMPIInt tagi,tagj,*len_si,*len_s,*len_ri,icompleted=0,nrecv; 482 PetscInt **buf_rj,**buf_ri,**buf_ri_k; 483 PetscInt len,proc,*dnz,*onz,*owners,nzi,nspacedouble; 484 PetscInt nrows,*buf_s,*buf_si,*buf_si_i,**nextrow,**nextci; 485 MPI_Request *swaits,*rwaits; 486 MPI_Status *sstatus,rstatus; 487 PetscLayout rowmap; 488 PetscInt *owners_co,*coi,*coj; /* i and j array of (p->B)^T*A*P - used in the communication */ 489 PetscMPIInt *len_r,*id_r; /* array of length of comm->size, store send/recv matrix values */ 490 PetscInt *api,*apj,*Jptr,apnz,*prmap=p->garray,con,j,ap_rmax=0,Crmax,*aj,*ai,*pi; 491 Mat_SeqAIJ *p_loc,*p_oth,*ad=(Mat_SeqAIJ*)(a->A)->data,*ao=(Mat_SeqAIJ*)(a->B)->data,*c_loc,*c_oth; 492 PetscScalar *apv; 493 PetscTable ta; 494 #if defined(PETSC_HAVE_HYPRE) 495 const char *algTypes[3] = {"scalable","nonscalable","hypre"}; 496 PetscInt nalg = 3; 497 #else 498 const char *algTypes[2] = {"scalable","nonscalable"}; 499 PetscInt nalg = 2; 500 #endif 501 PetscInt alg = 1; /* set default algorithm */ 502 #if defined(PETSC_USE_INFO) 503 PetscReal apfill; 504 #endif 505 #if defined(PTAP_PROFILE) 506 PetscLogDouble t0,t1,t11,t12,t2,t3,t4; 507 #endif 508 509 PetscFunctionBegin; 510 /* pick an algorithm */ 511 ierr = PetscObjectOptionsBegin((PetscObject)A);CHKERRQ(ierr); 512 ierr = PetscOptionsEList("-matptap_via","Algorithmic approach","MatPtAP",algTypes,nalg,algTypes[1],&alg,NULL);CHKERRQ(ierr); 513 ierr = PetscOptionsEnd();CHKERRQ(ierr); 514 515 if (alg == 0) { 516 ierr = MatPtAPSymbolic_MPIAIJ_MPIAIJ_scalable(A,P,fill,C);CHKERRQ(ierr); 517 (*C)->ops->ptapnumeric = MatPtAPNumeric_MPIAIJ_MPIAIJ; /* _scalable; not done yet */ 518 PetscFunctionReturn(0); 519 520 #if defined(PETSC_HAVE_HYPRE) 521 } else if (alg == 2) { 522 /* Use boomerAMGBuildCoarseOperator */ 523 ierr = MatPtAPSymbolic_AIJ_AIJ_wHYPRE(A,P,fill,C);CHKERRQ(ierr); 524 PetscFunctionReturn(0); 525 #endif 526 } 527 528 #if defined(PTAP_PROFILE) 529 ierr = PetscTime(&t0);CHKERRQ(ierr); 530 #endif 531 532 ierr = PetscObjectGetComm((PetscObject)A,&comm);CHKERRQ(ierr); 533 ierr = MPI_Comm_size(comm,&size);CHKERRQ(ierr); 534 ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); 535 536 /* create symbolic parallel matrix Cmpi */ 537 ierr = MatCreate(comm,&Cmpi);CHKERRQ(ierr); 538 ierr = MatSetType(Cmpi,MATMPIAIJ);CHKERRQ(ierr); 539 540 /* Do dense axpy in MatPtAPNumeric_MPIAIJ_MPIAIJ() */ 541 Cmpi->ops->ptapnumeric = MatPtAPNumeric_MPIAIJ_MPIAIJ; 542 543 /* create struct Mat_PtAPMPI and attached it to C later */ 544 ierr = PetscNew(&ptap);CHKERRQ(ierr); 545 ptap->reuse = MAT_INITIAL_MATRIX; 546 547 /* get P_oth by taking rows of P (= non-zero cols of local A) from other processors */ 548 ierr = MatGetBrowsOfAoCols_MPIAIJ(A,P,MAT_INITIAL_MATRIX,&ptap->startsj_s,&ptap->startsj_r,&ptap->bufa,&ptap->P_oth);CHKERRQ(ierr); 549 /* get P_loc by taking all local rows of P */ 550 ierr = MatMPIAIJGetLocalMat(P,MAT_INITIAL_MATRIX,&ptap->P_loc);CHKERRQ(ierr); 551 552 /* (0) compute Rd = Pd^T, Ro = Po^T */ 553 /* --------------------------------- */ 554 ierr = MatTranspose_SeqAIJ(p->A,MAT_INITIAL_MATRIX,&ptap->Rd);CHKERRQ(ierr); 555 ierr = MatTranspose_SeqAIJ(p->B,MAT_INITIAL_MATRIX,&ptap->Ro);CHKERRQ(ierr); 556 #if defined(PTAP_PROFILE) 557 ierr = PetscTime(&t11);CHKERRQ(ierr); 558 #endif 559 560 /* (1) compute symbolic AP = A_loc*P = Ad*P_loc + Ao*P_oth (api,apj) */ 561 /* ----------------------------------------------------------------- */ 562 p_loc = (Mat_SeqAIJ*)(ptap->P_loc)->data; 563 p_oth = (Mat_SeqAIJ*)(ptap->P_oth)->data; 564 565 /* create and initialize a linked list */ 566 ierr = PetscTableCreate(pn,pN,&ta);CHKERRQ(ierr); /* for compute AP_loc and Cmpi */ 567 MatRowMergeMax_SeqAIJ(p_loc,ptap->P_loc->rmap->N,ta); 568 MatRowMergeMax_SeqAIJ(p_oth,ptap->P_oth->rmap->N,ta); 569 ierr = PetscTableGetCount(ta,&Crmax);CHKERRQ(ierr); /* Crmax = nnz(sum of Prows) */ 570 /* printf("[%d] est %d, Crmax %d; pN %d\n",rank,5*(p_loc->rmax+p_oth->rmax + (PetscInt)(1.e-2*pN)),Crmax,pN); */ 571 572 ierr = PetscLLCondensedCreate(Crmax,pN,&lnk,&lnkbt);CHKERRQ(ierr); 573 574 /* Initial FreeSpace size is fill*(nnz(A) + nnz(P)) */ 575 ierr = PetscFreeSpaceGet(PetscRealIntMultTruncate(fill,PetscIntSumTruncate(ad->i[am],PetscIntSumTruncate(ao->i[am],p_loc->i[pm]))),&free_space);CHKERRQ(ierr); 576 current_space = free_space; 577 nspacedouble = 0; 578 579 ierr = PetscMalloc1(am+1,&api);CHKERRQ(ierr); 580 api[0] = 0; 581 for (i=0; i<am; i++) { 582 /* diagonal portion: Ad[i,:]*P */ 583 ai = ad->i; pi = p_loc->i; 584 nzi = ai[i+1] - ai[i]; 585 aj = ad->j + ai[i]; 586 for (j=0; j<nzi; j++) { 587 row = aj[j]; 588 pnz = pi[row+1] - pi[row]; 589 Jptr = p_loc->j + pi[row]; 590 /* add non-zero cols of P into the sorted linked list lnk */ 591 ierr = PetscLLCondensedAddSorted(pnz,Jptr,lnk,lnkbt);CHKERRQ(ierr); 592 } 593 /* off-diagonal portion: Ao[i,:]*P */ 594 ai = ao->i; pi = p_oth->i; 595 nzi = ai[i+1] - ai[i]; 596 aj = ao->j + ai[i]; 597 for (j=0; j<nzi; j++) { 598 row = aj[j]; 599 pnz = pi[row+1] - pi[row]; 600 Jptr = p_oth->j + pi[row]; 601 ierr = PetscLLCondensedAddSorted(pnz,Jptr,lnk,lnkbt);CHKERRQ(ierr); 602 } 603 apnz = lnk[0]; 604 api[i+1] = api[i] + apnz; 605 if (ap_rmax < apnz) ap_rmax = apnz; 606 607 /* if free space is not available, double the total space in the list */ 608 if (current_space->local_remaining<apnz) { 609 ierr = PetscFreeSpaceGet(PetscIntSumTruncate(apnz,current_space->total_array_size),¤t_space);CHKERRQ(ierr); 610 nspacedouble++; 611 } 612 613 /* Copy data into free space, then initialize lnk */ 614 ierr = PetscLLCondensedClean(pN,apnz,current_space->array,lnk,lnkbt);CHKERRQ(ierr); 615 616 current_space->array += apnz; 617 current_space->local_used += apnz; 618 current_space->local_remaining -= apnz; 619 } 620 /* Allocate space for apj and apv, initialize apj, and */ 621 /* destroy list of free space and other temporary array(s) */ 622 ierr = PetscMalloc2(api[am],&apj,api[am],&apv);CHKERRQ(ierr); 623 ierr = PetscFreeSpaceContiguous(&free_space,apj);CHKERRQ(ierr); 624 ierr = PetscLLDestroy(lnk,lnkbt);CHKERRQ(ierr); 625 626 /* Create AP_loc for reuse */ 627 ierr = MatCreateSeqAIJWithArrays(PETSC_COMM_SELF,am,pN,api,apj,apv,&ptap->AP_loc);CHKERRQ(ierr); 628 629 #if defined(PETSC_USE_INFO) 630 apfill = (PetscReal)api[am]/(ad->i[am]+ao->i[am]+p_loc->i[pm]+1); 631 ptap->AP_loc->info.mallocs = nspacedouble; 632 ptap->AP_loc->info.fill_ratio_given = fill; 633 ptap->AP_loc->info.fill_ratio_needed = apfill; 634 635 if (api[am]) { 636 ierr = PetscInfo3(ptap->AP_loc,"AP_loc reallocs %D; Fill ratio: given %g needed %g.\n",nspacedouble,(double)fill,(double)apfill);CHKERRQ(ierr); 637 ierr = PetscInfo1(ptap->AP_loc,"Use MatPtAP(A,B,MatReuse,%g,&C) for best AP_loc performance.;\n",(double)apfill);CHKERRQ(ierr); 638 } else { 639 ierr = PetscInfo(ptap->AP_loc,"AP_loc is empty \n");CHKERRQ(ierr); 640 } 641 #endif 642 643 #if defined(PTAP_PROFILE) 644 ierr = PetscTime(&t12);CHKERRQ(ierr); 645 #endif 646 647 /* (2-1) compute symbolic Co = Ro*AP_loc */ 648 /* ------------------------------------ */ 649 ierr = MatMatMultSymbolic_SeqAIJ_SeqAIJ(ptap->Ro,ptap->AP_loc,fill,&ptap->C_oth);CHKERRQ(ierr); 650 #if defined(PTAP_PROFILE) 651 ierr = PetscTime(&t1);CHKERRQ(ierr); 652 #endif 653 654 /* (3) send coj of C_oth to other processors */ 655 /* ------------------------------------------ */ 656 /* determine row ownership */ 657 ierr = PetscLayoutCreate(comm,&rowmap);CHKERRQ(ierr); 658 rowmap->n = pn; 659 rowmap->bs = 1; 660 ierr = PetscLayoutSetUp(rowmap);CHKERRQ(ierr); 661 owners = rowmap->range; 662 663 /* determine the number of messages to send, their lengths */ 664 ierr = PetscMalloc4(size,&len_s,size,&len_si,size,&sstatus,size+2,&owners_co);CHKERRQ(ierr); 665 ierr = PetscMemzero(len_s,size*sizeof(PetscMPIInt));CHKERRQ(ierr); 666 ierr = PetscMemzero(len_si,size*sizeof(PetscMPIInt));CHKERRQ(ierr); 667 668 c_oth = (Mat_SeqAIJ*)ptap->C_oth->data; 669 coi = c_oth->i; coj = c_oth->j; 670 con = ptap->C_oth->rmap->n; 671 proc = 0; 672 for (i=0; i<con; i++) { 673 while (prmap[i] >= owners[proc+1]) proc++; 674 len_si[proc]++; /* num of rows in Co(=Pt*AP) to be sent to [proc] */ 675 len_s[proc] += coi[i+1] - coi[i]; /* num of nonzeros in Co to be sent to [proc] */ 676 } 677 678 len = 0; /* max length of buf_si[], see (4) */ 679 owners_co[0] = 0; 680 nsend = 0; 681 for (proc=0; proc<size; proc++) { 682 owners_co[proc+1] = owners_co[proc] + len_si[proc]; 683 if (len_s[proc]) { 684 nsend++; 685 len_si[proc] = 2*(len_si[proc] + 1); /* length of buf_si to be sent to [proc] */ 686 len += len_si[proc]; 687 } 688 } 689 690 /* determine the number and length of messages to receive for coi and coj */ 691 ierr = PetscGatherNumberOfMessages(comm,NULL,len_s,&nrecv);CHKERRQ(ierr); 692 ierr = PetscGatherMessageLengths2(comm,nsend,nrecv,len_s,len_si,&id_r,&len_r,&len_ri);CHKERRQ(ierr); 693 694 /* post the Irecv and Isend of coj */ 695 ierr = PetscCommGetNewTag(comm,&tagj);CHKERRQ(ierr); 696 ierr = PetscPostIrecvInt(comm,tagj,nrecv,id_r,len_r,&buf_rj,&rwaits);CHKERRQ(ierr); 697 ierr = PetscMalloc1(nsend+1,&swaits);CHKERRQ(ierr); 698 for (proc=0, k=0; proc<size; proc++) { 699 if (!len_s[proc]) continue; 700 i = owners_co[proc]; 701 ierr = MPI_Isend(coj+coi[i],len_s[proc],MPIU_INT,proc,tagj,comm,swaits+k);CHKERRQ(ierr); 702 k++; 703 } 704 705 /* (2-2) compute symbolic C_loc = Rd*AP_loc */ 706 /* ---------------------------------------- */ 707 ierr = MatMatMultSymbolic_SeqAIJ_SeqAIJ(ptap->Rd,ptap->AP_loc,fill,&ptap->C_loc);CHKERRQ(ierr); 708 c_loc = (Mat_SeqAIJ*)ptap->C_loc->data; 709 710 /* receives coj are complete */ 711 for (i=0; i<nrecv; i++) { 712 ierr = MPI_Waitany(nrecv,rwaits,&icompleted,&rstatus);CHKERRQ(ierr); 713 } 714 ierr = PetscFree(rwaits);CHKERRQ(ierr); 715 if (nsend) {ierr = MPI_Waitall(nsend,swaits,sstatus);CHKERRQ(ierr);} 716 717 /* add received column indices into ta to update Crmax */ 718 for (k=0; k<nrecv; k++) {/* k-th received message */ 719 Jptr = buf_rj[k]; 720 for (j=0; j<len_r[k]; j++) { 721 ierr = PetscTableAdd(ta,*(Jptr+j)+1,1,INSERT_VALUES);CHKERRQ(ierr); 722 } 723 } 724 ierr = PetscTableGetCount(ta,&Crmax);CHKERRQ(ierr); 725 ierr = PetscTableDestroy(&ta);CHKERRQ(ierr); 726 727 /* (4) send and recv coi */ 728 /*-----------------------*/ 729 ierr = PetscCommGetNewTag(comm,&tagi);CHKERRQ(ierr); 730 ierr = PetscPostIrecvInt(comm,tagi,nrecv,id_r,len_ri,&buf_ri,&rwaits);CHKERRQ(ierr); 731 ierr = PetscMalloc1(len+1,&buf_s);CHKERRQ(ierr); 732 buf_si = buf_s; /* points to the beginning of k-th msg to be sent */ 733 for (proc=0,k=0; proc<size; proc++) { 734 if (!len_s[proc]) continue; 735 /* form outgoing message for i-structure: 736 buf_si[0]: nrows to be sent 737 [1:nrows]: row index (global) 738 [nrows+1:2*nrows+1]: i-structure index 739 */ 740 /*-------------------------------------------*/ 741 nrows = len_si[proc]/2 - 1; /* num of rows in Co to be sent to [proc] */ 742 buf_si_i = buf_si + nrows+1; 743 buf_si[0] = nrows; 744 buf_si_i[0] = 0; 745 nrows = 0; 746 for (i=owners_co[proc]; i<owners_co[proc+1]; i++) { 747 nzi = coi[i+1] - coi[i]; 748 buf_si_i[nrows+1] = buf_si_i[nrows] + nzi; /* i-structure */ 749 buf_si[nrows+1] = prmap[i] -owners[proc]; /* local row index */ 750 nrows++; 751 } 752 ierr = MPI_Isend(buf_si,len_si[proc],MPIU_INT,proc,tagi,comm,swaits+k);CHKERRQ(ierr); 753 k++; 754 buf_si += len_si[proc]; 755 } 756 for (i=0; i<nrecv; i++) { 757 ierr = MPI_Waitany(nrecv,rwaits,&icompleted,&rstatus);CHKERRQ(ierr); 758 } 759 ierr = PetscFree(rwaits);CHKERRQ(ierr); 760 if (nsend) {ierr = MPI_Waitall(nsend,swaits,sstatus);CHKERRQ(ierr);} 761 762 ierr = PetscFree4(len_s,len_si,sstatus,owners_co);CHKERRQ(ierr); 763 ierr = PetscFree(len_ri);CHKERRQ(ierr); 764 ierr = PetscFree(swaits);CHKERRQ(ierr); 765 ierr = PetscFree(buf_s);CHKERRQ(ierr); 766 #if defined(PTAP_PROFILE) 767 ierr = PetscTime(&t2);CHKERRQ(ierr); 768 #endif 769 /* (5) compute the local portion of Cmpi */ 770 /* ------------------------------------------ */ 771 /* set initial free space to be Crmax, sufficient for holding nozeros in each row of Cmpi */ 772 ierr = PetscFreeSpaceGet(Crmax,&free_space);CHKERRQ(ierr); 773 current_space = free_space; 774 775 ierr = PetscMalloc3(nrecv,&buf_ri_k,nrecv,&nextrow,nrecv,&nextci);CHKERRQ(ierr); 776 for (k=0; k<nrecv; k++) { 777 buf_ri_k[k] = buf_ri[k]; /* beginning of k-th recved i-structure */ 778 nrows = *buf_ri_k[k]; 779 nextrow[k] = buf_ri_k[k] + 1; /* next row number of k-th recved i-structure */ 780 nextci[k] = buf_ri_k[k] + (nrows + 1); /* poins to the next i-structure of k-th recved i-structure */ 781 } 782 783 ierr = MatPreallocateInitialize(comm,pn,pn,dnz,onz);CHKERRQ(ierr); 784 ierr = PetscLLCondensedCreate(Crmax,pN,&lnk,&lnkbt);CHKERRQ(ierr); 785 for (i=0; i<pn; i++) { 786 /* add C_loc into Cmpi */ 787 nzi = c_loc->i[i+1] - c_loc->i[i]; 788 Jptr = c_loc->j + c_loc->i[i]; 789 ierr = PetscLLCondensedAddSorted(nzi,Jptr,lnk,lnkbt);CHKERRQ(ierr); 790 791 /* add received col data into lnk */ 792 for (k=0; k<nrecv; k++) { /* k-th received message */ 793 if (i == *nextrow[k]) { /* i-th row */ 794 nzi = *(nextci[k]+1) - *nextci[k]; 795 Jptr = buf_rj[k] + *nextci[k]; 796 ierr = PetscLLCondensedAddSorted(nzi,Jptr,lnk,lnkbt);CHKERRQ(ierr); 797 nextrow[k]++; nextci[k]++; 798 } 799 } 800 nzi = lnk[0]; 801 802 /* copy data into free space, then initialize lnk */ 803 ierr = PetscLLCondensedClean(pN,nzi,current_space->array,lnk,lnkbt);CHKERRQ(ierr); 804 ierr = MatPreallocateSet(i+owners[rank],nzi,current_space->array,dnz,onz);CHKERRQ(ierr); 805 } 806 ierr = PetscFree3(buf_ri_k,nextrow,nextci);CHKERRQ(ierr); 807 ierr = PetscLLDestroy(lnk,lnkbt);CHKERRQ(ierr); 808 ierr = PetscFreeSpaceDestroy(free_space);CHKERRQ(ierr); 809 #if defined(PTAP_PROFILE) 810 ierr = PetscTime(&t3);CHKERRQ(ierr); 811 #endif 812 813 /* local sizes and preallocation */ 814 ierr = MatSetSizes(Cmpi,pn,pn,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); 815 ierr = MatSetBlockSizes(Cmpi,PetscAbs(P->cmap->bs),PetscAbs(P->cmap->bs));CHKERRQ(ierr); 816 ierr = MatMPIAIJSetPreallocation(Cmpi,0,dnz,0,onz);CHKERRQ(ierr); 817 ierr = MatPreallocateFinalize(dnz,onz);CHKERRQ(ierr); 818 819 /* members in merge */ 820 ierr = PetscFree(id_r);CHKERRQ(ierr); 821 ierr = PetscFree(len_r);CHKERRQ(ierr); 822 ierr = PetscFree(buf_ri[0]);CHKERRQ(ierr); 823 ierr = PetscFree(buf_ri);CHKERRQ(ierr); 824 ierr = PetscFree(buf_rj[0]);CHKERRQ(ierr); 825 ierr = PetscFree(buf_rj);CHKERRQ(ierr); 826 ierr = PetscLayoutDestroy(&rowmap);CHKERRQ(ierr); 827 828 /* attach the supporting struct to Cmpi for reuse */ 829 c = (Mat_MPIAIJ*)Cmpi->data; 830 c->ptap = ptap; 831 ptap->duplicate = Cmpi->ops->duplicate; 832 ptap->destroy = Cmpi->ops->destroy; 833 834 if (alg == 1) { 835 ierr = PetscCalloc1(pN,&ptap->apa);CHKERRQ(ierr); 836 } 837 838 /* Cmpi is not ready for use - assembly will be done by MatPtAPNumeric() */ 839 Cmpi->assembled = PETSC_FALSE; 840 Cmpi->ops->destroy = MatDestroy_MPIAIJ_PtAP; 841 Cmpi->ops->duplicate = MatDuplicate_MPIAIJ_MatPtAP; 842 *C = Cmpi; 843 844 #if defined(PTAP_PROFILE) 845 ierr = PetscTime(&t4);CHKERRQ(ierr); 846 if (rank == 1) { 847 printf("PtAPSym: %g + %g + %g + %g + %g + %g = %g\n",t11-t0,t1-t11,t12-t11,t2-t2,t3-t2,t4-t3,t4-t0); 848 } 849 #endif 850 PetscFunctionReturn(0); 851 } 852 853 PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ(Mat A,Mat P,Mat C) 854 { 855 PetscErrorCode ierr; 856 Mat_MPIAIJ *a=(Mat_MPIAIJ*)A->data,*p=(Mat_MPIAIJ*)P->data,*c=(Mat_MPIAIJ*)C->data; 857 Mat_SeqAIJ *ad=(Mat_SeqAIJ*)(a->A)->data,*ao=(Mat_SeqAIJ*)(a->B)->data; 858 Mat_SeqAIJ *ap,*p_loc,*p_oth,*c_seq; 859 Mat_PtAPMPI *ptap = c->ptap; 860 Mat AP_loc,C_loc,C_oth; 861 PetscInt i,rstart,rend,cm,ncols,row; 862 PetscInt *api,*apj,am = A->rmap->n,j,col,apnz; 863 PetscScalar *apa; 864 const PetscInt *cols; 865 const PetscScalar *vals; 866 #if defined(PTAP_PROFILE) 867 PetscMPIInt rank; 868 MPI_Comm comm; 869 PetscLogDouble t0,t1,t2,t3,t4,eR,eAP,eCseq,eCmpi; 870 #endif 871 872 PetscFunctionBegin; 873 ierr = MatZeroEntries(C);CHKERRQ(ierr); 874 875 /* 1) get R = Pd^T,Ro = Po^T */ 876 #if defined(PTAP_PROFILE) 877 ierr = PetscTime(&t0);CHKERRQ(ierr); 878 #endif 879 if (ptap->reuse == MAT_REUSE_MATRIX) { 880 ierr = MatTranspose_SeqAIJ(p->A,MAT_REUSE_MATRIX,&ptap->Rd);CHKERRQ(ierr); 881 ierr = MatTranspose_SeqAIJ(p->B,MAT_REUSE_MATRIX,&ptap->Ro);CHKERRQ(ierr); 882 } 883 #if defined(PTAP_PROFILE) 884 ierr = PetscTime(&t1);CHKERRQ(ierr); 885 eR = t1 - t0; 886 #endif 887 888 /* 2) get AP_loc */ 889 AP_loc = ptap->AP_loc; 890 ap = (Mat_SeqAIJ*)AP_loc->data; 891 892 /* 2-1) get P_oth = ptap->P_oth and P_loc = ptap->P_loc */ 893 /*-----------------------------------------------------*/ 894 if (ptap->reuse == MAT_REUSE_MATRIX) { 895 /* P_oth and P_loc are obtained in MatPtASymbolic() when reuse == MAT_INITIAL_MATRIX */ 896 ierr = MatGetBrowsOfAoCols_MPIAIJ(A,P,MAT_REUSE_MATRIX,&ptap->startsj_s,&ptap->startsj_r,&ptap->bufa,&ptap->P_oth);CHKERRQ(ierr); 897 ierr = MatMPIAIJGetLocalMat(P,MAT_REUSE_MATRIX,&ptap->P_loc);CHKERRQ(ierr); 898 } 899 900 /* 2-2) compute numeric A_loc*P - dominating part */ 901 /* ---------------------------------------------- */ 902 /* get data from symbolic products */ 903 p_loc = (Mat_SeqAIJ*)(ptap->P_loc)->data; 904 p_oth = (Mat_SeqAIJ*)(ptap->P_oth)->data; 905 apa = ptap->apa; 906 api = ap->i; 907 apj = ap->j; 908 for (i=0; i<am; i++) { 909 /* AP[i,:] = A[i,:]*P = Ad*P_loc Ao*P_oth */ 910 AProw_nonscalable(i,ad,ao,p_loc,p_oth,apa); 911 apnz = api[i+1] - api[i]; 912 for (j=0; j<apnz; j++) { 913 col = apj[j+api[i]]; 914 ap->a[j+ap->i[i]] = apa[col]; 915 apa[col] = 0.0; 916 } 917 ierr = PetscLogFlops(2.0*apnz);CHKERRQ(ierr); 918 } 919 #if defined(PTAP_PROFILE) 920 ierr = PetscTime(&t2);CHKERRQ(ierr); 921 eAP = t2 - t1; 922 #endif 923 924 /* 3) C_loc = Rd*AP_loc, C_oth = Ro*AP_loc */ 925 ierr = ((ptap->C_loc)->ops->matmultnumeric)(ptap->Rd,AP_loc,ptap->C_loc);CHKERRQ(ierr); 926 ierr = ((ptap->C_oth)->ops->matmultnumeric)(ptap->Ro,AP_loc,ptap->C_oth);CHKERRQ(ierr); 927 C_loc = ptap->C_loc; 928 C_oth = ptap->C_oth; 929 #if defined(PTAP_PROFILE) 930 ierr = PetscTime(&t3);CHKERRQ(ierr); 931 eCseq = t3 - t2; 932 #endif 933 934 /* add C_loc and Co to to C */ 935 ierr = MatGetOwnershipRange(C,&rstart,&rend);CHKERRQ(ierr); 936 937 /* C_loc -> C */ 938 cm = C_loc->rmap->N; 939 c_seq = (Mat_SeqAIJ*)C_loc->data; 940 cols = c_seq->j; 941 vals = c_seq->a; 942 for (i=0; i<cm; i++) { 943 ncols = c_seq->i[i+1] - c_seq->i[i]; 944 row = rstart + i; 945 ierr = MatSetValues(C,1,&row,ncols,cols,vals,ADD_VALUES);CHKERRQ(ierr); 946 cols += ncols; vals += ncols; 947 } 948 949 /* Co -> C, off-processor part */ 950 cm = C_oth->rmap->N; 951 c_seq = (Mat_SeqAIJ*)C_oth->data; 952 cols = c_seq->j; 953 vals = c_seq->a; 954 for (i=0; i<cm; i++) { 955 ncols = c_seq->i[i+1] - c_seq->i[i]; 956 row = p->garray[i]; 957 ierr = MatSetValues(C,1,&row,ncols,cols,vals,ADD_VALUES);CHKERRQ(ierr); 958 cols += ncols; vals += ncols; 959 } 960 ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 961 ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 962 #if defined(PTAP_PROFILE) 963 ierr = PetscTime(&t4);CHKERRQ(ierr); 964 eCmpi = t4 - t3; 965 966 ierr = PetscObjectGetComm((PetscObject)C,&comm);CHKERRQ(ierr); 967 ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); 968 if (rank==1) { 969 ierr = PetscPrintf(MPI_COMM_SELF," R %g, AP %g, Cseq %g, Cmpi %g = %g\n", eR,eAP,eCseq,eCmpi,eR+eAP+eCseq+eCmpi);CHKERRQ(ierr); 970 } 971 #endif 972 ptap->reuse = MAT_REUSE_MATRIX; 973 PetscFunctionReturn(0); 974 } 975 976 PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_ptap(Mat A,Mat P,PetscReal fill,Mat *C) 977 { 978 PetscErrorCode ierr; 979 Mat Cmpi; 980 Mat_PtAPMPI *ptap; 981 PetscFreeSpaceList free_space=NULL,current_space=NULL; 982 Mat_MPIAIJ *a =(Mat_MPIAIJ*)A->data,*p=(Mat_MPIAIJ*)P->data,*c; 983 Mat_SeqAIJ *ad =(Mat_SeqAIJ*)(a->A)->data,*ao=(Mat_SeqAIJ*)(a->B)->data; 984 Mat_SeqAIJ *p_loc,*p_oth; 985 PetscInt *pi_loc,*pj_loc,*pi_oth,*pj_oth,*pdti,*pdtj,*poti,*potj,*ptJ; 986 PetscInt *adi=ad->i,*aj,*aoi=ao->i,nnz; 987 PetscInt *lnk,*owners_co,*coi,*coj,i,k,pnz,row; 988 PetscInt am=A->rmap->n,pN=P->cmap->N,pm=P->rmap->n,pn=P->cmap->n; 989 PetscBT lnkbt; 990 MPI_Comm comm; 991 PetscMPIInt size,rank,tagi,tagj,*len_si,*len_s,*len_ri,icompleted=0; 992 PetscInt **buf_rj,**buf_ri,**buf_ri_k; 993 PetscInt len,proc,*dnz,*onz,*owners; 994 PetscInt nzi,*pti,*ptj; 995 PetscInt nrows,*buf_s,*buf_si,*buf_si_i,**nextrow,**nextci; 996 MPI_Request *swaits,*rwaits; 997 MPI_Status *sstatus,rstatus; 998 Mat_Merge_SeqsToMPI *merge; 999 PetscInt *api,*apj,*Jptr,apnz,*prmap=p->garray,pon,nspacedouble=0,j,ap_rmax=0; 1000 PetscReal afill=1.0,afill_tmp; 1001 1002 PetscFunctionBegin; 1003 ierr = PetscObjectGetComm((PetscObject)A,&comm);CHKERRQ(ierr); 1004 ierr = MPI_Comm_size(comm,&size);CHKERRQ(ierr); 1005 ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); 1006 1007 /* create struct Mat_PtAPMPI and attached it to C later */ 1008 ierr = PetscNew(&ptap);CHKERRQ(ierr); 1009 ierr = PetscNew(&merge);CHKERRQ(ierr); 1010 ptap->merge = merge; 1011 ptap->reuse = MAT_INITIAL_MATRIX; 1012 1013 /* get P_oth by taking rows of P (= non-zero cols of local A) from other processors */ 1014 ierr = MatGetBrowsOfAoCols_MPIAIJ(A,P,MAT_INITIAL_MATRIX,&ptap->startsj_s,&ptap->startsj_r,&ptap->bufa,&ptap->P_oth);CHKERRQ(ierr); 1015 1016 /* get P_loc by taking all local rows of P */ 1017 ierr = MatMPIAIJGetLocalMat(P,MAT_INITIAL_MATRIX,&ptap->P_loc);CHKERRQ(ierr); 1018 1019 p_loc = (Mat_SeqAIJ*)(ptap->P_loc)->data; 1020 p_oth = (Mat_SeqAIJ*)(ptap->P_oth)->data; 1021 pi_loc = p_loc->i; pj_loc = p_loc->j; 1022 pi_oth = p_oth->i; pj_oth = p_oth->j; 1023 1024 /* (1) compute symbolic AP = A_loc*P = A_diag*P_loc + A_off*P_oth (api,apj) */ 1025 /*--------------------------------------------------------------------------*/ 1026 ierr = PetscMalloc1(am+1,&api);CHKERRQ(ierr); 1027 api[0] = 0; 1028 1029 /* create and initialize a linked list */ 1030 ierr = PetscLLCondensedCreate(pN,pN,&lnk,&lnkbt);CHKERRQ(ierr); 1031 1032 /* Initial FreeSpace size is fill*(nnz(A) + nnz(P)) -OOM for ex56, np=8k on Intrepid! */ 1033 ierr = PetscFreeSpaceGet(PetscRealIntMultTruncate(fill,PetscIntSumTruncate(adi[am],PetscIntSumTruncate(aoi[am],pi_loc[pm]))),&free_space);CHKERRQ(ierr); 1034 current_space = free_space; 1035 1036 for (i=0; i<am; i++) { 1037 /* diagonal portion of A */ 1038 nzi = adi[i+1] - adi[i]; 1039 aj = ad->j + adi[i]; 1040 for (j=0; j<nzi; j++) { 1041 row = aj[j]; 1042 pnz = pi_loc[row+1] - pi_loc[row]; 1043 Jptr = pj_loc + pi_loc[row]; 1044 /* add non-zero cols of P into the sorted linked list lnk */ 1045 ierr = PetscLLCondensedAddSorted(pnz,Jptr,lnk,lnkbt);CHKERRQ(ierr); 1046 } 1047 /* off-diagonal portion of A */ 1048 nzi = aoi[i+1] - aoi[i]; 1049 aj = ao->j + aoi[i]; 1050 for (j=0; j<nzi; j++) { 1051 row = aj[j]; 1052 pnz = pi_oth[row+1] - pi_oth[row]; 1053 Jptr = pj_oth + pi_oth[row]; 1054 ierr = PetscLLCondensedAddSorted(pnz,Jptr,lnk,lnkbt);CHKERRQ(ierr); 1055 } 1056 apnz = lnk[0]; 1057 api[i+1] = api[i] + apnz; 1058 if (ap_rmax < apnz) ap_rmax = apnz; 1059 1060 /* if free space is not available, double the total space in the list */ 1061 if (current_space->local_remaining<apnz) { 1062 ierr = PetscFreeSpaceGet(PetscIntSumTruncate(apnz,current_space->total_array_size),¤t_space);CHKERRQ(ierr); 1063 nspacedouble++; 1064 } 1065 1066 /* Copy data into free space, then initialize lnk */ 1067 ierr = PetscLLCondensedClean(pN,apnz,current_space->array,lnk,lnkbt);CHKERRQ(ierr); 1068 1069 current_space->array += apnz; 1070 current_space->local_used += apnz; 1071 current_space->local_remaining -= apnz; 1072 } 1073 1074 /* Allocate space for apj, initialize apj, and */ 1075 /* destroy list of free space and other temporary array(s) */ 1076 ierr = PetscMalloc1(api[am]+1,&apj);CHKERRQ(ierr); 1077 ierr = PetscFreeSpaceContiguous(&free_space,apj);CHKERRQ(ierr); 1078 afill_tmp = (PetscReal)api[am]/(adi[am]+aoi[am]+pi_loc[pm]+1); 1079 if (afill_tmp > afill) afill = afill_tmp; 1080 1081 /* (2) determine symbolic Co=(p->B)^T*AP - send to others (coi,coj)*/ 1082 /*-----------------------------------------------------------------*/ 1083 ierr = MatGetSymbolicTranspose_SeqAIJ(p->B,&poti,&potj);CHKERRQ(ierr); 1084 1085 /* then, compute symbolic Co = (p->B)^T*AP */ 1086 pon = (p->B)->cmap->n; /* total num of rows to be sent to other processors 1087 >= (num of nonzero rows of C_seq) - pn */ 1088 ierr = PetscMalloc1(pon+1,&coi);CHKERRQ(ierr); 1089 coi[0] = 0; 1090 1091 /* set initial free space to be fill*(nnz(p->B) + nnz(AP)) */ 1092 nnz = PetscRealIntMultTruncate(fill,PetscIntSumTruncate(poti[pon],api[am])); 1093 ierr = PetscFreeSpaceGet(nnz,&free_space);CHKERRQ(ierr); 1094 current_space = free_space; 1095 1096 for (i=0; i<pon; i++) { 1097 pnz = poti[i+1] - poti[i]; 1098 ptJ = potj + poti[i]; 1099 for (j=0; j<pnz; j++) { 1100 row = ptJ[j]; /* row of AP == col of Pot */ 1101 apnz = api[row+1] - api[row]; 1102 Jptr = apj + api[row]; 1103 /* add non-zero cols of AP into the sorted linked list lnk */ 1104 ierr = PetscLLCondensedAddSorted(apnz,Jptr,lnk,lnkbt);CHKERRQ(ierr); 1105 } 1106 nnz = lnk[0]; 1107 1108 /* If free space is not available, double the total space in the list */ 1109 if (current_space->local_remaining<nnz) { 1110 ierr = PetscFreeSpaceGet(PetscIntSumTruncate(nnz,current_space->total_array_size),¤t_space);CHKERRQ(ierr); 1111 nspacedouble++; 1112 } 1113 1114 /* Copy data into free space, and zero out denserows */ 1115 ierr = PetscLLCondensedClean(pN,nnz,current_space->array,lnk,lnkbt);CHKERRQ(ierr); 1116 1117 current_space->array += nnz; 1118 current_space->local_used += nnz; 1119 current_space->local_remaining -= nnz; 1120 1121 coi[i+1] = coi[i] + nnz; 1122 } 1123 1124 ierr = PetscMalloc1(coi[pon],&coj);CHKERRQ(ierr); 1125 ierr = PetscFreeSpaceContiguous(&free_space,coj);CHKERRQ(ierr); 1126 afill_tmp = (PetscReal)coi[pon]/(poti[pon] + api[am]+1); 1127 if (afill_tmp > afill) afill = afill_tmp; 1128 ierr = MatRestoreSymbolicTranspose_SeqAIJ(p->B,&poti,&potj);CHKERRQ(ierr); 1129 1130 /* (3) send j-array (coj) of Co to other processors */ 1131 /*--------------------------------------------------*/ 1132 ierr = PetscCalloc1(size,&merge->len_s);CHKERRQ(ierr); 1133 len_s = merge->len_s; 1134 merge->nsend = 0; 1135 1136 1137 /* determine row ownership */ 1138 ierr = PetscLayoutCreate(comm,&merge->rowmap);CHKERRQ(ierr); 1139 merge->rowmap->n = pn; 1140 merge->rowmap->bs = 1; 1141 1142 ierr = PetscLayoutSetUp(merge->rowmap);CHKERRQ(ierr); 1143 owners = merge->rowmap->range; 1144 1145 /* determine the number of messages to send, their lengths */ 1146 ierr = PetscMalloc2(size,&len_si,size,&sstatus);CHKERRQ(ierr); 1147 ierr = PetscMemzero(len_si,size*sizeof(PetscMPIInt));CHKERRQ(ierr); 1148 ierr = PetscMalloc1(size+2,&owners_co);CHKERRQ(ierr); 1149 1150 proc = 0; 1151 for (i=0; i<pon; i++) { 1152 while (prmap[i] >= owners[proc+1]) proc++; 1153 len_si[proc]++; /* num of rows in Co(=Pt*AP) to be sent to [proc] */ 1154 len_s[proc] += coi[i+1] - coi[i]; /* num of nonzeros in Co to be sent to [proc] */ 1155 } 1156 1157 len = 0; /* max length of buf_si[], see (4) */ 1158 owners_co[0] = 0; 1159 for (proc=0; proc<size; proc++) { 1160 owners_co[proc+1] = owners_co[proc] + len_si[proc]; 1161 if (len_s[proc]) { 1162 merge->nsend++; 1163 len_si[proc] = 2*(len_si[proc] + 1); /* length of buf_si to be sent to [proc] */ 1164 len += len_si[proc]; 1165 } 1166 } 1167 1168 /* determine the number and length of messages to receive for coi and coj */ 1169 ierr = PetscGatherNumberOfMessages(comm,NULL,len_s,&merge->nrecv);CHKERRQ(ierr); 1170 ierr = PetscGatherMessageLengths2(comm,merge->nsend,merge->nrecv,len_s,len_si,&merge->id_r,&merge->len_r,&len_ri);CHKERRQ(ierr); 1171 1172 /* post the Irecv and Isend of coj */ 1173 ierr = PetscCommGetNewTag(comm,&tagj);CHKERRQ(ierr); 1174 ierr = PetscPostIrecvInt(comm,tagj,merge->nrecv,merge->id_r,merge->len_r,&buf_rj,&rwaits);CHKERRQ(ierr); 1175 ierr = PetscMalloc1(merge->nsend+1,&swaits);CHKERRQ(ierr); 1176 for (proc=0, k=0; proc<size; proc++) { 1177 if (!len_s[proc]) continue; 1178 i = owners_co[proc]; 1179 ierr = MPI_Isend(coj+coi[i],len_s[proc],MPIU_INT,proc,tagj,comm,swaits+k);CHKERRQ(ierr); 1180 k++; 1181 } 1182 1183 /* receives and sends of coj are complete */ 1184 for (i=0; i<merge->nrecv; i++) { 1185 ierr = MPI_Waitany(merge->nrecv,rwaits,&icompleted,&rstatus);CHKERRQ(ierr); 1186 } 1187 ierr = PetscFree(rwaits);CHKERRQ(ierr); 1188 if (merge->nsend) {ierr = MPI_Waitall(merge->nsend,swaits,sstatus);CHKERRQ(ierr);} 1189 1190 /* (4) send and recv coi */ 1191 /*-----------------------*/ 1192 ierr = PetscCommGetNewTag(comm,&tagi);CHKERRQ(ierr); 1193 ierr = PetscPostIrecvInt(comm,tagi,merge->nrecv,merge->id_r,len_ri,&buf_ri,&rwaits);CHKERRQ(ierr); 1194 ierr = PetscMalloc1(len+1,&buf_s);CHKERRQ(ierr); 1195 buf_si = buf_s; /* points to the beginning of k-th msg to be sent */ 1196 for (proc=0,k=0; proc<size; proc++) { 1197 if (!len_s[proc]) continue; 1198 /* form outgoing message for i-structure: 1199 buf_si[0]: nrows to be sent 1200 [1:nrows]: row index (global) 1201 [nrows+1:2*nrows+1]: i-structure index 1202 */ 1203 /*-------------------------------------------*/ 1204 nrows = len_si[proc]/2 - 1; /* num of rows in Co to be sent to [proc] */ 1205 buf_si_i = buf_si + nrows+1; 1206 buf_si[0] = nrows; 1207 buf_si_i[0] = 0; 1208 nrows = 0; 1209 for (i=owners_co[proc]; i<owners_co[proc+1]; i++) { 1210 nzi = coi[i+1] - coi[i]; 1211 buf_si_i[nrows+1] = buf_si_i[nrows] + nzi; /* i-structure */ 1212 buf_si[nrows+1] = prmap[i] -owners[proc]; /* local row index */ 1213 nrows++; 1214 } 1215 ierr = MPI_Isend(buf_si,len_si[proc],MPIU_INT,proc,tagi,comm,swaits+k);CHKERRQ(ierr); 1216 k++; 1217 buf_si += len_si[proc]; 1218 } 1219 i = merge->nrecv; 1220 while (i--) { 1221 ierr = MPI_Waitany(merge->nrecv,rwaits,&icompleted,&rstatus);CHKERRQ(ierr); 1222 } 1223 ierr = PetscFree(rwaits);CHKERRQ(ierr); 1224 if (merge->nsend) {ierr = MPI_Waitall(merge->nsend,swaits,sstatus);CHKERRQ(ierr);} 1225 1226 ierr = PetscFree2(len_si,sstatus);CHKERRQ(ierr); 1227 ierr = PetscFree(len_ri);CHKERRQ(ierr); 1228 ierr = PetscFree(swaits);CHKERRQ(ierr); 1229 ierr = PetscFree(buf_s);CHKERRQ(ierr); 1230 1231 /* (5) compute the local portion of C (mpi mat) */ 1232 /*----------------------------------------------*/ 1233 ierr = MatGetSymbolicTranspose_SeqAIJ(p->A,&pdti,&pdtj);CHKERRQ(ierr); 1234 1235 /* allocate pti array and free space for accumulating nonzero column info */ 1236 ierr = PetscMalloc1(pn+1,&pti);CHKERRQ(ierr); 1237 pti[0] = 0; 1238 1239 /* set initial free space to be fill*(nnz(P) + nnz(AP)) */ 1240 nnz = PetscRealIntMultTruncate(fill,PetscIntSumTruncate(pi_loc[pm],api[am])); 1241 ierr = PetscFreeSpaceGet(nnz,&free_space);CHKERRQ(ierr); 1242 current_space = free_space; 1243 1244 ierr = PetscMalloc3(merge->nrecv,&buf_ri_k,merge->nrecv,&nextrow,merge->nrecv,&nextci);CHKERRQ(ierr); 1245 for (k=0; k<merge->nrecv; k++) { 1246 buf_ri_k[k] = buf_ri[k]; /* beginning of k-th recved i-structure */ 1247 nrows = *buf_ri_k[k]; 1248 nextrow[k] = buf_ri_k[k] + 1; /* next row number of k-th recved i-structure */ 1249 nextci[k] = buf_ri_k[k] + (nrows + 1); /* poins to the next i-structure of k-th recved i-structure */ 1250 } 1251 ierr = MatPreallocateInitialize(comm,pn,pn,dnz,onz);CHKERRQ(ierr); 1252 1253 for (i=0; i<pn; i++) { 1254 /* add pdt[i,:]*AP into lnk */ 1255 pnz = pdti[i+1] - pdti[i]; 1256 ptJ = pdtj + pdti[i]; 1257 for (j=0; j<pnz; j++) { 1258 row = ptJ[j]; /* row of AP == col of Pt */ 1259 apnz = api[row+1] - api[row]; 1260 Jptr = apj + api[row]; 1261 /* add non-zero cols of AP into the sorted linked list lnk */ 1262 ierr = PetscLLCondensedAddSorted(apnz,Jptr,lnk,lnkbt);CHKERRQ(ierr); 1263 } 1264 1265 /* add received col data into lnk */ 1266 for (k=0; k<merge->nrecv; k++) { /* k-th received message */ 1267 if (i == *nextrow[k]) { /* i-th row */ 1268 nzi = *(nextci[k]+1) - *nextci[k]; 1269 Jptr = buf_rj[k] + *nextci[k]; 1270 ierr = PetscLLCondensedAddSorted(nzi,Jptr,lnk,lnkbt);CHKERRQ(ierr); 1271 nextrow[k]++; nextci[k]++; 1272 } 1273 } 1274 nnz = lnk[0]; 1275 1276 /* if free space is not available, make more free space */ 1277 if (current_space->local_remaining<nnz) { 1278 ierr = PetscFreeSpaceGet(PetscIntSumTruncate(nnz,current_space->total_array_size),¤t_space);CHKERRQ(ierr); 1279 nspacedouble++; 1280 } 1281 /* copy data into free space, then initialize lnk */ 1282 ierr = PetscLLCondensedClean(pN,nnz,current_space->array,lnk,lnkbt);CHKERRQ(ierr); 1283 ierr = MatPreallocateSet(i+owners[rank],nnz,current_space->array,dnz,onz);CHKERRQ(ierr); 1284 1285 current_space->array += nnz; 1286 current_space->local_used += nnz; 1287 current_space->local_remaining -= nnz; 1288 1289 pti[i+1] = pti[i] + nnz; 1290 } 1291 ierr = MatRestoreSymbolicTranspose_SeqAIJ(p->A,&pdti,&pdtj);CHKERRQ(ierr); 1292 ierr = PetscFree3(buf_ri_k,nextrow,nextci);CHKERRQ(ierr); 1293 1294 ierr = PetscMalloc1(pti[pn]+1,&ptj);CHKERRQ(ierr); 1295 ierr = PetscFreeSpaceContiguous(&free_space,ptj);CHKERRQ(ierr); 1296 afill_tmp = (PetscReal)pti[pn]/(pi_loc[pm] + api[am]+1); 1297 if (afill_tmp > afill) afill = afill_tmp; 1298 ierr = PetscLLDestroy(lnk,lnkbt);CHKERRQ(ierr); 1299 1300 /* (6) create symbolic parallel matrix Cmpi */ 1301 /*------------------------------------------*/ 1302 ierr = MatCreate(comm,&Cmpi);CHKERRQ(ierr); 1303 ierr = MatSetSizes(Cmpi,pn,pn,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); 1304 ierr = MatSetBlockSizes(Cmpi,PetscAbs(P->cmap->bs),PetscAbs(P->cmap->bs));CHKERRQ(ierr); 1305 ierr = MatSetType(Cmpi,MATMPIAIJ);CHKERRQ(ierr); 1306 ierr = MatMPIAIJSetPreallocation(Cmpi,0,dnz,0,onz);CHKERRQ(ierr); 1307 ierr = MatPreallocateFinalize(dnz,onz);CHKERRQ(ierr); 1308 1309 merge->bi = pti; /* Cseq->i */ 1310 merge->bj = ptj; /* Cseq->j */ 1311 merge->coi = coi; /* Co->i */ 1312 merge->coj = coj; /* Co->j */ 1313 merge->buf_ri = buf_ri; 1314 merge->buf_rj = buf_rj; 1315 merge->owners_co = owners_co; 1316 merge->destroy = Cmpi->ops->destroy; 1317 1318 /* attach the supporting struct to Cmpi for reuse */ 1319 c = (Mat_MPIAIJ*)Cmpi->data; 1320 c->ptap = ptap; 1321 ptap->api = api; 1322 ptap->apj = apj; 1323 ptap->duplicate = Cmpi->ops->duplicate; 1324 ptap->destroy = Cmpi->ops->destroy; 1325 1326 /* Cmpi is not ready for use - assembly will be done by MatPtAPNumeric() */ 1327 Cmpi->assembled = PETSC_FALSE; 1328 Cmpi->ops->destroy = MatDestroy_MPIAIJ_PtAP; 1329 Cmpi->ops->duplicate = MatDuplicate_MPIAIJ_MatPtAP; 1330 Cmpi->ops->ptapnumeric = MatPtAPNumeric_MPIAIJ_MPIAIJ_ptap; 1331 *C = Cmpi; 1332 1333 /* flag 'scalable' determines which implementations to be used: 1334 0: do dense axpy in MatPtAPNumeric() - fast, but requires storage of a nonscalable dense array apa; 1335 1: do sparse axpy in MatPtAPNumeric() - might slow, uses a sparse array apa */ 1336 /* set default scalable */ 1337 ptap->scalable = PETSC_FALSE; /* PETSC_TRUE; */ 1338 1339 ierr = PetscOptionsGetBool(((PetscObject)Cmpi)->options,((PetscObject)Cmpi)->prefix,"-matptap_scalable",&ptap->scalable,NULL);CHKERRQ(ierr); 1340 if (!ptap->scalable) { /* Do dense axpy */ 1341 ierr = PetscCalloc1(pN,&ptap->apa);CHKERRQ(ierr); 1342 } else { 1343 ierr = PetscCalloc1(ap_rmax+1,&ptap->apa);CHKERRQ(ierr); 1344 } 1345 1346 #if defined(PETSC_USE_INFO) 1347 if (pti[pn] != 0) { 1348 ierr = PetscInfo3(Cmpi,"Reallocs %D; Fill ratio: given %g needed %g.\n",nspacedouble,(double)fill,(double)afill);CHKERRQ(ierr); 1349 ierr = PetscInfo1(Cmpi,"Use MatPtAP(A,P,MatReuse,%g,&C) for best performance.\n",(double)afill);CHKERRQ(ierr); 1350 } else { 1351 ierr = PetscInfo(Cmpi,"Empty matrix product\n");CHKERRQ(ierr); 1352 } 1353 #endif 1354 PetscFunctionReturn(0); 1355 } 1356 1357 PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_ptap(Mat A,Mat P,Mat C) 1358 { 1359 PetscErrorCode ierr; 1360 Mat_MPIAIJ *a =(Mat_MPIAIJ*)A->data,*p=(Mat_MPIAIJ*)P->data,*c=(Mat_MPIAIJ*)C->data; 1361 Mat_SeqAIJ *ad=(Mat_SeqAIJ*)(a->A)->data,*ao=(Mat_SeqAIJ*)(a->B)->data; 1362 Mat_SeqAIJ *pd=(Mat_SeqAIJ*)(p->A)->data,*po=(Mat_SeqAIJ*)(p->B)->data; 1363 Mat_SeqAIJ *p_loc,*p_oth; 1364 Mat_PtAPMPI *ptap; 1365 Mat_Merge_SeqsToMPI *merge; 1366 PetscInt *adi=ad->i,*aoi=ao->i,*adj,*aoj,*apJ,nextp; 1367 PetscInt *pi_loc,*pj_loc,*pi_oth,*pj_oth,*pJ,*pj; 1368 PetscInt i,j,k,anz,pnz,apnz,nextap,row,*cj; 1369 MatScalar *ada,*aoa,*apa,*pa,*ca,*pa_loc,*pa_oth,valtmp; 1370 PetscInt am =A->rmap->n,cm=C->rmap->n,pon=(p->B)->cmap->n; 1371 MPI_Comm comm; 1372 PetscMPIInt size,rank,taga,*len_s; 1373 PetscInt *owners,proc,nrows,**buf_ri_k,**nextrow,**nextci; 1374 PetscInt **buf_ri,**buf_rj; 1375 PetscInt cnz=0,*bj_i,*bi,*bj,bnz,nextcj; /* bi,bj,ba: local array of C(mpi mat) */ 1376 MPI_Request *s_waits,*r_waits; 1377 MPI_Status *status; 1378 MatScalar **abuf_r,*ba_i,*pA,*coa,*ba; 1379 PetscInt *api,*apj,*coi,*coj; 1380 PetscInt *poJ=po->j,*pdJ=pd->j,pcstart=P->cmap->rstart,pcend=P->cmap->rend; 1381 PetscBool scalable; 1382 #if defined(PTAP_PROFILE) 1383 PetscLogDouble t0,t1,t2,eP,t3,t4,et2_AP=0.0,ePtAP=0.0,t2_0,t2_1,t2_2; 1384 #endif 1385 1386 PetscFunctionBegin; 1387 ierr = PetscObjectGetComm((PetscObject)C,&comm);CHKERRQ(ierr); 1388 #if defined(PTAP_PROFILE) 1389 ierr = PetscTime(&t0);CHKERRQ(ierr); 1390 #endif 1391 ierr = MPI_Comm_size(comm,&size);CHKERRQ(ierr); 1392 ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); 1393 1394 ptap = c->ptap; 1395 if (!ptap) SETERRQ(PetscObjectComm((PetscObject)C),PETSC_ERR_ARG_INCOMP,"MatPtAP() has not been called to create matrix C yet, cannot use MAT_REUSE_MATRIX"); 1396 merge = ptap->merge; 1397 apa = ptap->apa; 1398 scalable = ptap->scalable; 1399 1400 /* 1) get P_oth = ptap->P_oth and P_loc = ptap->P_loc */ 1401 /*-----------------------------------------------------*/ 1402 if (ptap->reuse == MAT_INITIAL_MATRIX) { 1403 /* P_oth and P_loc are obtained in MatPtASymbolic(), skip calling MatGetBrowsOfAoCols() and MatMPIAIJGetLocalMat() */ 1404 ptap->reuse = MAT_REUSE_MATRIX; 1405 } else { /* update numerical values of P_oth and P_loc */ 1406 ierr = MatGetBrowsOfAoCols_MPIAIJ(A,P,MAT_REUSE_MATRIX,&ptap->startsj_s,&ptap->startsj_r,&ptap->bufa,&ptap->P_oth);CHKERRQ(ierr); 1407 ierr = MatMPIAIJGetLocalMat(P,MAT_REUSE_MATRIX,&ptap->P_loc);CHKERRQ(ierr); 1408 } 1409 #if defined(PTAP_PROFILE) 1410 ierr = PetscTime(&t1);CHKERRQ(ierr); 1411 eP = t1-t0; 1412 #endif 1413 /* 1414 printf("[%d] Ad: %d, %d; Ao: %d, %d; P_loc: %d, %d; P_oth %d, %d;\n",rank, 1415 a->A->rmap->N,a->A->cmap->N,a->B->rmap->N,a->B->cmap->N, 1416 ptap->P_loc->rmap->N,ptap->P_loc->cmap->N, 1417 ptap->P_oth->rmap->N,ptap->P_oth->cmap->N); 1418 */ 1419 1420 /* 2) compute numeric C_seq = P_loc^T*A_loc*P - dominating part */ 1421 /*--------------------------------------------------------------*/ 1422 /* get data from symbolic products */ 1423 p_loc = (Mat_SeqAIJ*)(ptap->P_loc)->data; 1424 p_oth = (Mat_SeqAIJ*)(ptap->P_oth)->data; 1425 pi_loc=p_loc->i; pj_loc=p_loc->j; pa_loc=p_loc->a; 1426 pi_oth=p_oth->i; pj_oth=p_oth->j; pa_oth=p_oth->a; 1427 1428 coi = merge->coi; coj = merge->coj; 1429 ierr = PetscCalloc1(coi[pon]+1,&coa);CHKERRQ(ierr); 1430 1431 bi = merge->bi; bj = merge->bj; 1432 owners = merge->rowmap->range; 1433 ierr = PetscCalloc1(bi[cm]+1,&ba);CHKERRQ(ierr); /* ba: Cseq->a */ 1434 1435 api = ptap->api; apj = ptap->apj; 1436 1437 if (!scalable) { /* Do dense axpy on apa (length of pN, stores A[i,:]*P) - nonscalable, but faster (could take 1/3 scalable time) */ 1438 ierr = PetscInfo(C,"Using non-scalable dense axpy\n");CHKERRQ(ierr); 1439 #if defined(PTAP_PROFILE) 1440 ierr = PetscTime(&t1);CHKERRQ(ierr); 1441 #endif 1442 for (i=0; i<am; i++) { 1443 #if defined(PTAP_PROFILE) 1444 ierr = PetscTime(&t2_0);CHKERRQ(ierr); 1445 #endif 1446 /* 2-a) form i-th sparse row of A_loc*P = Ad*P_loc + Ao*P_oth */ 1447 /*------------------------------------------------------------*/ 1448 apJ = apj + api[i]; 1449 1450 /* diagonal portion of A */ 1451 anz = adi[i+1] - adi[i]; 1452 adj = ad->j + adi[i]; 1453 ada = ad->a + adi[i]; 1454 for (j=0; j<anz; j++) { 1455 row = adj[j]; 1456 pnz = pi_loc[row+1] - pi_loc[row]; 1457 pj = pj_loc + pi_loc[row]; 1458 pa = pa_loc + pi_loc[row]; 1459 1460 /* perform dense axpy */ 1461 valtmp = ada[j]; 1462 for (k=0; k<pnz; k++) { 1463 apa[pj[k]] += valtmp*pa[k]; 1464 } 1465 ierr = PetscLogFlops(2.0*pnz);CHKERRQ(ierr); 1466 } 1467 1468 /* off-diagonal portion of A */ 1469 anz = aoi[i+1] - aoi[i]; 1470 aoj = ao->j + aoi[i]; 1471 aoa = ao->a + aoi[i]; 1472 for (j=0; j<anz; j++) { 1473 row = aoj[j]; 1474 pnz = pi_oth[row+1] - pi_oth[row]; 1475 pj = pj_oth + pi_oth[row]; 1476 pa = pa_oth + pi_oth[row]; 1477 1478 /* perform dense axpy */ 1479 valtmp = aoa[j]; 1480 for (k=0; k<pnz; k++) { 1481 apa[pj[k]] += valtmp*pa[k]; 1482 } 1483 ierr = PetscLogFlops(2.0*pnz);CHKERRQ(ierr); 1484 } 1485 #if defined(PTAP_PROFILE) 1486 ierr = PetscTime(&t2_1);CHKERRQ(ierr); 1487 et2_AP += t2_1 - t2_0; 1488 #endif 1489 1490 /* 2-b) Compute Cseq = P_loc[i,:]^T*AP[i,:] using outer product */ 1491 /*--------------------------------------------------------------*/ 1492 apnz = api[i+1] - api[i]; 1493 /* put the value into Co=(p->B)^T*AP (off-diagonal part, send to others) */ 1494 pnz = po->i[i+1] - po->i[i]; 1495 poJ = po->j + po->i[i]; 1496 pA = po->a + po->i[i]; 1497 for (j=0; j<pnz; j++) { 1498 row = poJ[j]; 1499 cnz = coi[row+1] - coi[row]; 1500 cj = coj + coi[row]; 1501 ca = coa + coi[row]; 1502 /* perform dense axpy */ 1503 valtmp = pA[j]; 1504 for (k=0; k<cnz; k++) { 1505 ca[k] += valtmp*apa[cj[k]]; 1506 } 1507 ierr = PetscLogFlops(2.0*cnz);CHKERRQ(ierr); 1508 } 1509 /* put the value into Cd (diagonal part) */ 1510 pnz = pd->i[i+1] - pd->i[i]; 1511 pdJ = pd->j + pd->i[i]; 1512 pA = pd->a + pd->i[i]; 1513 for (j=0; j<pnz; j++) { 1514 row = pdJ[j]; 1515 cnz = bi[row+1] - bi[row]; 1516 cj = bj + bi[row]; 1517 ca = ba + bi[row]; 1518 /* perform dense axpy */ 1519 valtmp = pA[j]; 1520 for (k=0; k<cnz; k++) { 1521 ca[k] += valtmp*apa[cj[k]]; 1522 } 1523 ierr = PetscLogFlops(2.0*cnz);CHKERRQ(ierr); 1524 } 1525 1526 /* zero the current row of A*P */ 1527 for (k=0; k<apnz; k++) apa[apJ[k]] = 0.0; 1528 #if defined(PTAP_PROFILE) 1529 ierr = PetscTime(&t2_2);CHKERRQ(ierr); 1530 ePtAP += t2_2 - t2_1; 1531 #endif 1532 } 1533 } else { /* Do sparse axpy on apa (length of ap_rmax, stores A[i,:]*P) - scalable, but slower */ 1534 ierr = PetscInfo(C,"Using scalable sparse axpy\n");CHKERRQ(ierr); 1535 /*-----------------------------------------------------------------------------------------*/ 1536 pA=pa_loc; 1537 for (i=0; i<am; i++) { 1538 #if defined(PTAP_PROFILE) 1539 ierr = PetscTime(&t2_0);CHKERRQ(ierr); 1540 #endif 1541 /* form i-th sparse row of A*P */ 1542 apnz = api[i+1] - api[i]; 1543 apJ = apj + api[i]; 1544 /* diagonal portion of A */ 1545 anz = adi[i+1] - adi[i]; 1546 adj = ad->j + adi[i]; 1547 ada = ad->a + adi[i]; 1548 for (j=0; j<anz; j++) { 1549 row = adj[j]; 1550 pnz = pi_loc[row+1] - pi_loc[row]; 1551 pj = pj_loc + pi_loc[row]; 1552 pa = pa_loc + pi_loc[row]; 1553 valtmp = ada[j]; 1554 nextp = 0; 1555 for (k=0; nextp<pnz; k++) { 1556 if (apJ[k] == pj[nextp]) { /* col of AP == col of P */ 1557 apa[k] += valtmp*pa[nextp++]; 1558 } 1559 } 1560 ierr = PetscLogFlops(2.0*pnz);CHKERRQ(ierr); 1561 } 1562 /* off-diagonal portion of A */ 1563 anz = aoi[i+1] - aoi[i]; 1564 aoj = ao->j + aoi[i]; 1565 aoa = ao->a + aoi[i]; 1566 for (j=0; j<anz; j++) { 1567 row = aoj[j]; 1568 pnz = pi_oth[row+1] - pi_oth[row]; 1569 pj = pj_oth + pi_oth[row]; 1570 pa = pa_oth + pi_oth[row]; 1571 valtmp = aoa[j]; 1572 nextp = 0; 1573 for (k=0; nextp<pnz; k++) { 1574 if (apJ[k] == pj[nextp]) { /* col of AP == col of P */ 1575 apa[k] += valtmp*pa[nextp++]; 1576 } 1577 } 1578 ierr = PetscLogFlops(2.0*pnz);CHKERRQ(ierr); 1579 } 1580 #if defined(PTAP_PROFILE) 1581 ierr = PetscTime(&t2_1);CHKERRQ(ierr); 1582 et2_AP += t2_1 - t2_0; 1583 #endif 1584 1585 /* 2-b) Compute Cseq = P_loc[i,:]^T*AP[i,:] using outer product */ 1586 /*--------------------------------------------------------------*/ 1587 pnz = pi_loc[i+1] - pi_loc[i]; 1588 pJ = pj_loc + pi_loc[i]; 1589 for (j=0; j<pnz; j++) { 1590 nextap = 0; 1591 row = pJ[j]; /* global index */ 1592 if (row < pcstart || row >=pcend) { /* put the value into Co */ 1593 row = *poJ; 1594 cj = coj + coi[row]; 1595 ca = coa + coi[row]; poJ++; 1596 } else { /* put the value into Cd */ 1597 row = *pdJ; 1598 cj = bj + bi[row]; 1599 ca = ba + bi[row]; pdJ++; 1600 } 1601 valtmp = pA[j]; 1602 for (k=0; nextap<apnz; k++) { 1603 if (cj[k]==apJ[nextap]) ca[k] += valtmp*apa[nextap++]; 1604 } 1605 ierr = PetscLogFlops(2.0*apnz);CHKERRQ(ierr); 1606 } 1607 pA += pnz; 1608 /* zero the current row info for A*P */ 1609 ierr = PetscMemzero(apa,apnz*sizeof(MatScalar));CHKERRQ(ierr); 1610 #if defined(PTAP_PROFILE) 1611 ierr = PetscTime(&t2_2);CHKERRQ(ierr); 1612 ePtAP += t2_2 - t2_1; 1613 #endif 1614 } 1615 } 1616 #if defined(PTAP_PROFILE) 1617 ierr = PetscTime(&t2);CHKERRQ(ierr); 1618 #endif 1619 1620 /* 3) send and recv matrix values coa */ 1621 /*------------------------------------*/ 1622 buf_ri = merge->buf_ri; 1623 buf_rj = merge->buf_rj; 1624 len_s = merge->len_s; 1625 ierr = PetscCommGetNewTag(comm,&taga);CHKERRQ(ierr); 1626 ierr = PetscPostIrecvScalar(comm,taga,merge->nrecv,merge->id_r,merge->len_r,&abuf_r,&r_waits);CHKERRQ(ierr); 1627 1628 ierr = PetscMalloc2(merge->nsend+1,&s_waits,size,&status);CHKERRQ(ierr); 1629 for (proc=0,k=0; proc<size; proc++) { 1630 if (!len_s[proc]) continue; 1631 i = merge->owners_co[proc]; 1632 ierr = MPI_Isend(coa+coi[i],len_s[proc],MPIU_MATSCALAR,proc,taga,comm,s_waits+k);CHKERRQ(ierr); 1633 k++; 1634 } 1635 if (merge->nrecv) {ierr = MPI_Waitall(merge->nrecv,r_waits,status);CHKERRQ(ierr);} 1636 if (merge->nsend) {ierr = MPI_Waitall(merge->nsend,s_waits,status);CHKERRQ(ierr);} 1637 1638 ierr = PetscFree2(s_waits,status);CHKERRQ(ierr); 1639 ierr = PetscFree(r_waits);CHKERRQ(ierr); 1640 ierr = PetscFree(coa);CHKERRQ(ierr); 1641 #if defined(PTAP_PROFILE) 1642 ierr = PetscTime(&t3);CHKERRQ(ierr); 1643 #endif 1644 1645 /* 4) insert local Cseq and received values into Cmpi */ 1646 /*------------------------------------------------------*/ 1647 ierr = PetscMalloc3(merge->nrecv,&buf_ri_k,merge->nrecv,&nextrow,merge->nrecv,&nextci);CHKERRQ(ierr); 1648 for (k=0; k<merge->nrecv; k++) { 1649 buf_ri_k[k] = buf_ri[k]; /* beginning of k-th recved i-structure */ 1650 nrows = *(buf_ri_k[k]); 1651 nextrow[k] = buf_ri_k[k]+1; /* next row number of k-th recved i-structure */ 1652 nextci[k] = buf_ri_k[k] + (nrows + 1); /* poins to the next i-structure of k-th recved i-structure */ 1653 } 1654 1655 for (i=0; i<cm; i++) { 1656 row = owners[rank] + i; /* global row index of C_seq */ 1657 bj_i = bj + bi[i]; /* col indices of the i-th row of C */ 1658 ba_i = ba + bi[i]; 1659 bnz = bi[i+1] - bi[i]; 1660 /* add received vals into ba */ 1661 for (k=0; k<merge->nrecv; k++) { /* k-th received message */ 1662 /* i-th row */ 1663 if (i == *nextrow[k]) { 1664 cnz = *(nextci[k]+1) - *nextci[k]; 1665 cj = buf_rj[k] + *(nextci[k]); 1666 ca = abuf_r[k] + *(nextci[k]); 1667 nextcj = 0; 1668 for (j=0; nextcj<cnz; j++) { 1669 if (bj_i[j] == cj[nextcj]) { /* bcol == ccol */ 1670 ba_i[j] += ca[nextcj++]; 1671 } 1672 } 1673 nextrow[k]++; nextci[k]++; 1674 ierr = PetscLogFlops(2.0*cnz);CHKERRQ(ierr); 1675 } 1676 } 1677 ierr = MatSetValues(C,1,&row,bnz,bj_i,ba_i,INSERT_VALUES);CHKERRQ(ierr); 1678 } 1679 ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1680 ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1681 1682 ierr = PetscFree(ba);CHKERRQ(ierr); 1683 ierr = PetscFree(abuf_r[0]);CHKERRQ(ierr); 1684 ierr = PetscFree(abuf_r);CHKERRQ(ierr); 1685 ierr = PetscFree3(buf_ri_k,nextrow,nextci);CHKERRQ(ierr); 1686 #if defined(PTAP_PROFILE) 1687 ierr = PetscTime(&t4);CHKERRQ(ierr); 1688 if (rank==1) { 1689 ierr = PetscPrintf(MPI_COMM_SELF," [%d] PtAPNum %g/P + %g/PtAP( %g/A*P + %g/Pt*AP ) + %g/comm + %g/Cloc = %g\n\n",rank,eP,t2-t1,et2_AP,ePtAP,t3-t2,t4-t3,t4-t0);CHKERRQ(ierr); 1690 } 1691 #endif 1692 PetscFunctionReturn(0); 1693 } 1694