1 2 #define PETSCMAT_DLL 3 4 /* 5 Routines to compute overlapping regions of a parallel MPI matrix 6 and to find submatrices that were shared across processors. 7 */ 8 #include "src/mat/impls/aij/mpi/mpiaij.h" 9 #include "petscbt.h" 10 11 static PetscErrorCode MatIncreaseOverlap_MPIAIJ_Once(Mat,PetscInt,IS *); 12 static PetscErrorCode MatIncreaseOverlap_MPIAIJ_Local(Mat,PetscInt,char **,PetscInt*,PetscInt**); 13 static PetscErrorCode MatIncreaseOverlap_MPIAIJ_Receive(Mat,PetscInt,PetscInt **,PetscInt**,PetscInt*); 14 EXTERN PetscErrorCode MatGetRow_MPIAIJ(Mat,PetscInt,PetscInt*,PetscInt**,PetscScalar**); 15 EXTERN PetscErrorCode MatRestoreRow_MPIAIJ(Mat,PetscInt,PetscInt*,PetscInt**,PetscScalar**); 16 17 #undef __FUNCT__ 18 #define __FUNCT__ "MatIncreaseOverlap_MPIAIJ" 19 PetscErrorCode MatIncreaseOverlap_MPIAIJ(Mat C,PetscInt imax,IS is[],PetscInt ov) 20 { 21 PetscErrorCode ierr; 22 PetscInt i; 23 24 PetscFunctionBegin; 25 if (ov < 0) SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,"Negative overlap specified"); 26 for (i=0; i<ov; ++i) { 27 ierr = MatIncreaseOverlap_MPIAIJ_Once(C,imax,is);CHKERRQ(ierr); 28 } 29 PetscFunctionReturn(0); 30 } 31 32 /* 33 Sample message format: 34 If a processor A wants processor B to process some elements corresponding 35 to index sets is[1],is[5] 36 mesg [0] = 2 (no of index sets in the mesg) 37 ----------- 38 mesg [1] = 1 => is[1] 39 mesg [2] = sizeof(is[1]); 40 ----------- 41 mesg [3] = 5 => is[5] 42 mesg [4] = sizeof(is[5]); 43 ----------- 44 mesg [5] 45 mesg [n] datas[1] 46 ----------- 47 mesg[n+1] 48 mesg[m] data(is[5]) 49 ----------- 50 51 Notes: 52 nrqs - no of requests sent (or to be sent out) 53 nrqr - no of requests recieved (which have to be or which have been processed 54 */ 55 #undef __FUNCT__ 56 #define __FUNCT__ "MatIncreaseOverlap_MPIAIJ_Once" 57 static PetscErrorCode MatIncreaseOverlap_MPIAIJ_Once(Mat C,PetscInt imax,IS is[]) 58 { 59 Mat_MPIAIJ *c = (Mat_MPIAIJ*)C->data; 60 PetscMPIInt *w1,*w2,nrqr,*w3,*w4,*onodes1,*olengths1,*onodes2,*olengths2; 61 const PetscInt **idx,*idx_i; 62 PetscInt *n,*rtable,**data,len; 63 PetscErrorCode ierr; 64 PetscMPIInt size,rank,tag1,tag2; 65 PetscInt m,i,j,k,**rbuf,row,proc,nrqs,msz,**outdat,**ptr; 66 PetscInt *ctr,*pa,*tmp,*isz,*isz1,**xdata,**rbuf2; 67 PetscBT *table; 68 MPI_Comm comm; 69 MPI_Request *s_waits1,*r_waits1,*s_waits2,*r_waits2; 70 MPI_Status *s_status,*recv_status; 71 72 PetscFunctionBegin; 73 comm = ((PetscObject)C)->comm; 74 size = c->size; 75 rank = c->rank; 76 m = C->rmap->N; 77 78 ierr = PetscObjectGetNewTag((PetscObject)C,&tag1);CHKERRQ(ierr); 79 ierr = PetscObjectGetNewTag((PetscObject)C,&tag2);CHKERRQ(ierr); 80 81 len = (imax+1)*sizeof(PetscInt*)+ (imax + m)*sizeof(PetscInt); 82 ierr = PetscMalloc(len,&idx);CHKERRQ(ierr); 83 n = (PetscInt*)(idx + imax); 84 rtable = n + imax; 85 86 for (i=0; i<imax; i++) { 87 ierr = ISGetIndices(is[i],&idx[i]);CHKERRQ(ierr); 88 ierr = ISGetLocalSize(is[i],&n[i]);CHKERRQ(ierr); 89 } 90 91 /* Create hash table for the mapping :row -> proc*/ 92 for (i=0,j=0; i<size; i++) { 93 len = C->rmap->range[i+1]; 94 for (; j<len; j++) { 95 rtable[j] = i; 96 } 97 } 98 99 /* evaluate communication - mesg to who,length of mesg, and buffer space 100 required. Based on this, buffers are allocated, and data copied into them*/ 101 ierr = PetscMalloc(size*4*sizeof(PetscMPIInt),&w1);CHKERRQ(ierr);/* mesg size */ 102 w2 = w1 + size; /* if w2[i] marked, then a message to proc i*/ 103 w3 = w2 + size; /* no of IS that needs to be sent to proc i */ 104 w4 = w3 + size; /* temp work space used in determining w1, w2, w3 */ 105 ierr = PetscMemzero(w1,size*3*sizeof(PetscMPIInt));CHKERRQ(ierr); /* initialise work vector*/ 106 for (i=0; i<imax; i++) { 107 ierr = PetscMemzero(w4,size*sizeof(PetscMPIInt));CHKERRQ(ierr); /* initialise work vector*/ 108 idx_i = idx[i]; 109 len = n[i]; 110 for (j=0; j<len; j++) { 111 row = idx_i[j]; 112 if (row < 0) { 113 SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,"Index set cannot have negative entries"); 114 } 115 proc = rtable[row]; 116 w4[proc]++; 117 } 118 for (j=0; j<size; j++){ 119 if (w4[j]) { w1[j] += w4[j]; w3[j]++;} 120 } 121 } 122 123 nrqs = 0; /* no of outgoing messages */ 124 msz = 0; /* total mesg length (for all proc */ 125 w1[rank] = 0; /* no mesg sent to intself */ 126 w3[rank] = 0; 127 for (i=0; i<size; i++) { 128 if (w1[i]) {w2[i] = 1; nrqs++;} /* there exists a message to proc i */ 129 } 130 /* pa - is list of processors to communicate with */ 131 ierr = PetscMalloc((nrqs+1)*sizeof(PetscInt),&pa);CHKERRQ(ierr); 132 for (i=0,j=0; i<size; i++) { 133 if (w1[i]) {pa[j] = i; j++;} 134 } 135 136 /* Each message would have a header = 1 + 2*(no of IS) + data */ 137 for (i=0; i<nrqs; i++) { 138 j = pa[i]; 139 w1[j] += w2[j] + 2*w3[j]; 140 msz += w1[j]; 141 } 142 143 /* Determine the number of messages to expect, their lengths, from from-ids */ 144 ierr = PetscGatherNumberOfMessages(comm,w2,w1,&nrqr);CHKERRQ(ierr); 145 ierr = PetscGatherMessageLengths(comm,nrqs,nrqr,w1,&onodes1,&olengths1);CHKERRQ(ierr); 146 147 /* Now post the Irecvs corresponding to these messages */ 148 ierr = PetscPostIrecvInt(comm,tag1,nrqr,onodes1,olengths1,&rbuf,&r_waits1);CHKERRQ(ierr); 149 150 /* Allocate Memory for outgoing messages */ 151 len = 2*size*sizeof(PetscInt*) + (size+msz)*sizeof(PetscInt); 152 ierr = PetscMalloc(len,&outdat);CHKERRQ(ierr); 153 ptr = outdat + size; /* Pointers to the data in outgoing buffers */ 154 ierr = PetscMemzero(outdat,2*size*sizeof(PetscInt*));CHKERRQ(ierr); 155 tmp = (PetscInt*)(outdat + 2*size); 156 ctr = tmp + msz; 157 158 { 159 PetscInt *iptr = tmp,ict = 0; 160 for (i=0; i<nrqs; i++) { 161 j = pa[i]; 162 iptr += ict; 163 outdat[j] = iptr; 164 ict = w1[j]; 165 } 166 } 167 168 /* Form the outgoing messages */ 169 /*plug in the headers*/ 170 for (i=0; i<nrqs; i++) { 171 j = pa[i]; 172 outdat[j][0] = 0; 173 ierr = PetscMemzero(outdat[j]+1,2*w3[j]*sizeof(PetscInt));CHKERRQ(ierr); 174 ptr[j] = outdat[j] + 2*w3[j] + 1; 175 } 176 177 /* Memory for doing local proc's work*/ 178 { 179 PetscInt *d_p; 180 char *t_p; 181 182 len = (imax)*(sizeof(PetscBT) + sizeof(PetscInt*)+ sizeof(PetscInt)) + 183 (m)*imax*sizeof(PetscInt) + (m/PETSC_BITS_PER_BYTE+1)*imax*sizeof(char) + 1; 184 ierr = PetscMalloc(len,&table);CHKERRQ(ierr); 185 ierr = PetscMemzero(table,len);CHKERRQ(ierr); 186 data = (PetscInt **)(table + imax); 187 isz = (PetscInt *)(data + imax); 188 d_p = (PetscInt *)(isz + imax); 189 t_p = (char *)(d_p + m*imax); 190 for (i=0; i<imax; i++) { 191 table[i] = t_p + (m/PETSC_BITS_PER_BYTE+1)*i; 192 data[i] = d_p + (m)*i; 193 } 194 } 195 196 /* Parse the IS and update local tables and the outgoing buf with the data*/ 197 { 198 PetscInt n_i,*data_i,isz_i,*outdat_j,ctr_j; 199 PetscBT table_i; 200 201 for (i=0; i<imax; i++) { 202 ierr = PetscMemzero(ctr,size*sizeof(PetscInt));CHKERRQ(ierr); 203 n_i = n[i]; 204 table_i = table[i]; 205 idx_i = idx[i]; 206 data_i = data[i]; 207 isz_i = isz[i]; 208 for (j=0; j<n_i; j++) { /* parse the indices of each IS */ 209 row = idx_i[j]; 210 proc = rtable[row]; 211 if (proc != rank) { /* copy to the outgoing buffer */ 212 ctr[proc]++; 213 *ptr[proc] = row; 214 ptr[proc]++; 215 } else { /* Update the local table */ 216 if (!PetscBTLookupSet(table_i,row)) { data_i[isz_i++] = row;} 217 } 218 } 219 /* Update the headers for the current IS */ 220 for (j=0; j<size; j++) { /* Can Optimise this loop by using pa[] */ 221 if ((ctr_j = ctr[j])) { 222 outdat_j = outdat[j]; 223 k = ++outdat_j[0]; 224 outdat_j[2*k] = ctr_j; 225 outdat_j[2*k-1] = i; 226 } 227 } 228 isz[i] = isz_i; 229 } 230 } 231 232 233 234 /* Now post the sends */ 235 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Request),&s_waits1);CHKERRQ(ierr); 236 for (i=0; i<nrqs; ++i) { 237 j = pa[i]; 238 ierr = MPI_Isend(outdat[j],w1[j],MPIU_INT,j,tag1,comm,s_waits1+i);CHKERRQ(ierr); 239 } 240 241 /* No longer need the original indices*/ 242 for (i=0; i<imax; ++i) { 243 ierr = ISRestoreIndices(is[i],idx+i);CHKERRQ(ierr); 244 } 245 ierr = PetscFree(idx);CHKERRQ(ierr); 246 247 for (i=0; i<imax; ++i) { 248 ierr = ISDestroy(is[i]);CHKERRQ(ierr); 249 } 250 251 /* Do Local work*/ 252 ierr = MatIncreaseOverlap_MPIAIJ_Local(C,imax,table,isz,data);CHKERRQ(ierr); 253 254 /* Receive messages*/ 255 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Status),&recv_status);CHKERRQ(ierr); 256 if (nrqr) {ierr = MPI_Waitall(nrqr,r_waits1,recv_status);CHKERRQ(ierr);} 257 258 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Status),&s_status);CHKERRQ(ierr); 259 if (nrqs) {ierr = MPI_Waitall(nrqs,s_waits1,s_status);CHKERRQ(ierr);} 260 261 /* Phase 1 sends are complete - deallocate buffers */ 262 ierr = PetscFree(outdat);CHKERRQ(ierr); 263 ierr = PetscFree(w1);CHKERRQ(ierr); 264 265 ierr = PetscMalloc((nrqr+1)*sizeof(PetscInt*),&xdata);CHKERRQ(ierr); 266 ierr = PetscMalloc((nrqr+1)*sizeof(PetscInt),&isz1);CHKERRQ(ierr); 267 ierr = MatIncreaseOverlap_MPIAIJ_Receive(C,nrqr,rbuf,xdata,isz1);CHKERRQ(ierr); 268 ierr = PetscFree(rbuf);CHKERRQ(ierr); 269 270 271 /* Send the data back*/ 272 /* Do a global reduction to know the buffer space req for incoming messages*/ 273 { 274 PetscMPIInt *rw1; 275 276 ierr = PetscMalloc(size*sizeof(PetscMPIInt),&rw1);CHKERRQ(ierr); 277 ierr = PetscMemzero(rw1,size*sizeof(PetscMPIInt));CHKERRQ(ierr); 278 279 for (i=0; i<nrqr; ++i) { 280 proc = recv_status[i].MPI_SOURCE; 281 if (proc != onodes1[i]) SETERRQ(PETSC_ERR_PLIB,"MPI_SOURCE mismatch"); 282 rw1[proc] = isz1[i]; 283 } 284 ierr = PetscFree(onodes1);CHKERRQ(ierr); 285 ierr = PetscFree(olengths1);CHKERRQ(ierr); 286 287 /* Determine the number of messages to expect, their lengths, from from-ids */ 288 ierr = PetscGatherMessageLengths(comm,nrqr,nrqs,rw1,&onodes2,&olengths2);CHKERRQ(ierr); 289 ierr = PetscFree(rw1);CHKERRQ(ierr); 290 } 291 /* Now post the Irecvs corresponding to these messages */ 292 ierr = PetscPostIrecvInt(comm,tag2,nrqs,onodes2,olengths2,&rbuf2,&r_waits2);CHKERRQ(ierr); 293 294 /* Now post the sends */ 295 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Request),&s_waits2);CHKERRQ(ierr); 296 for (i=0; i<nrqr; ++i) { 297 j = recv_status[i].MPI_SOURCE; 298 ierr = MPI_Isend(xdata[i],isz1[i],MPIU_INT,j,tag2,comm,s_waits2+i);CHKERRQ(ierr); 299 } 300 301 /* receive work done on other processors*/ 302 { 303 PetscInt is_no,ct1,max,*rbuf2_i,isz_i,*data_i,jmax; 304 PetscMPIInt idex; 305 PetscBT table_i; 306 MPI_Status *status2; 307 308 ierr = PetscMalloc((PetscMax(nrqr,nrqs)+1)*sizeof(MPI_Status),&status2);CHKERRQ(ierr); 309 for (i=0; i<nrqs; ++i) { 310 ierr = MPI_Waitany(nrqs,r_waits2,&idex,status2+i);CHKERRQ(ierr); 311 /* Process the message*/ 312 rbuf2_i = rbuf2[idex]; 313 ct1 = 2*rbuf2_i[0]+1; 314 jmax = rbuf2[idex][0]; 315 for (j=1; j<=jmax; j++) { 316 max = rbuf2_i[2*j]; 317 is_no = rbuf2_i[2*j-1]; 318 isz_i = isz[is_no]; 319 data_i = data[is_no]; 320 table_i = table[is_no]; 321 for (k=0; k<max; k++,ct1++) { 322 row = rbuf2_i[ct1]; 323 if (!PetscBTLookupSet(table_i,row)) { data_i[isz_i++] = row;} 324 } 325 isz[is_no] = isz_i; 326 } 327 } 328 329 if (nrqr) {ierr = MPI_Waitall(nrqr,s_waits2,status2);CHKERRQ(ierr);} 330 ierr = PetscFree(status2);CHKERRQ(ierr); 331 } 332 333 for (i=0; i<imax; ++i) { 334 ierr = ISCreateGeneral(PETSC_COMM_SELF,isz[i],data[i],is+i);CHKERRQ(ierr); 335 } 336 337 ierr = PetscFree(onodes2);CHKERRQ(ierr); 338 ierr = PetscFree(olengths2);CHKERRQ(ierr); 339 340 ierr = PetscFree(pa);CHKERRQ(ierr); 341 ierr = PetscFree(rbuf2);CHKERRQ(ierr); 342 ierr = PetscFree(s_waits1);CHKERRQ(ierr); 343 ierr = PetscFree(r_waits1);CHKERRQ(ierr); 344 ierr = PetscFree(s_waits2);CHKERRQ(ierr); 345 ierr = PetscFree(r_waits2);CHKERRQ(ierr); 346 ierr = PetscFree(table);CHKERRQ(ierr); 347 ierr = PetscFree(s_status);CHKERRQ(ierr); 348 ierr = PetscFree(recv_status);CHKERRQ(ierr); 349 ierr = PetscFree(xdata[0]);CHKERRQ(ierr); 350 ierr = PetscFree(xdata);CHKERRQ(ierr); 351 ierr = PetscFree(isz1);CHKERRQ(ierr); 352 PetscFunctionReturn(0); 353 } 354 355 #undef __FUNCT__ 356 #define __FUNCT__ "MatIncreaseOverlap_MPIAIJ_Local" 357 /* 358 MatIncreaseOverlap_MPIAIJ_Local - Called by MatincreaseOverlap, to do 359 the work on the local processor. 360 361 Inputs: 362 C - MAT_MPIAIJ; 363 imax - total no of index sets processed at a time; 364 table - an array of char - size = m bits. 365 366 Output: 367 isz - array containing the count of the solution elements correspondign 368 to each index set; 369 data - pointer to the solutions 370 */ 371 static PetscErrorCode MatIncreaseOverlap_MPIAIJ_Local(Mat C,PetscInt imax,PetscBT *table,PetscInt *isz,PetscInt **data) 372 { 373 Mat_MPIAIJ *c = (Mat_MPIAIJ*)C->data; 374 Mat A = c->A,B = c->B; 375 Mat_SeqAIJ *a = (Mat_SeqAIJ*)A->data,*b = (Mat_SeqAIJ*)B->data; 376 PetscInt start,end,val,max,rstart,cstart,*ai,*aj; 377 PetscInt *bi,*bj,*garray,i,j,k,row,*data_i,isz_i; 378 PetscBT table_i; 379 380 PetscFunctionBegin; 381 rstart = C->rmap->rstart; 382 cstart = C->cmap->rstart; 383 ai = a->i; 384 aj = a->j; 385 bi = b->i; 386 bj = b->j; 387 garray = c->garray; 388 389 390 for (i=0; i<imax; i++) { 391 data_i = data[i]; 392 table_i = table[i]; 393 isz_i = isz[i]; 394 for (j=0,max=isz[i]; j<max; j++) { 395 row = data_i[j] - rstart; 396 start = ai[row]; 397 end = ai[row+1]; 398 for (k=start; k<end; k++) { /* Amat */ 399 val = aj[k] + cstart; 400 if (!PetscBTLookupSet(table_i,val)) { data_i[isz_i++] = val;} 401 } 402 start = bi[row]; 403 end = bi[row+1]; 404 for (k=start; k<end; k++) { /* Bmat */ 405 val = garray[bj[k]]; 406 if (!PetscBTLookupSet(table_i,val)) { data_i[isz_i++] = val;} 407 } 408 } 409 isz[i] = isz_i; 410 } 411 PetscFunctionReturn(0); 412 } 413 414 #undef __FUNCT__ 415 #define __FUNCT__ "MatIncreaseOverlap_MPIAIJ_Receive" 416 /* 417 MatIncreaseOverlap_MPIAIJ_Receive - Process the recieved messages, 418 and return the output 419 420 Input: 421 C - the matrix 422 nrqr - no of messages being processed. 423 rbuf - an array of pointers to the recieved requests 424 425 Output: 426 xdata - array of messages to be sent back 427 isz1 - size of each message 428 429 For better efficiency perhaps we should malloc separately each xdata[i], 430 then if a remalloc is required we need only copy the data for that one row 431 rather then all previous rows as it is now where a single large chunck of 432 memory is used. 433 434 */ 435 static PetscErrorCode MatIncreaseOverlap_MPIAIJ_Receive(Mat C,PetscInt nrqr,PetscInt **rbuf,PetscInt **xdata,PetscInt * isz1) 436 { 437 Mat_MPIAIJ *c = (Mat_MPIAIJ*)C->data; 438 Mat A = c->A,B = c->B; 439 Mat_SeqAIJ *a = (Mat_SeqAIJ*)A->data,*b = (Mat_SeqAIJ*)B->data; 440 PetscErrorCode ierr; 441 PetscMPIInt rank; 442 PetscInt rstart,cstart,*ai,*aj,*bi,*bj,*garray,i,j,k; 443 PetscInt row,total_sz,ct,ct1,ct2,ct3,mem_estimate,oct2,l,start,end; 444 PetscInt val,max1,max2,m,no_malloc =0,*tmp,new_estimate,ctr; 445 PetscInt *rbuf_i,kmax,rbuf_0; 446 PetscBT xtable; 447 448 PetscFunctionBegin; 449 rank = c->rank; 450 m = C->rmap->N; 451 rstart = C->rmap->rstart; 452 cstart = C->cmap->rstart; 453 ai = a->i; 454 aj = a->j; 455 bi = b->i; 456 bj = b->j; 457 garray = c->garray; 458 459 460 for (i=0,ct=0,total_sz=0; i<nrqr; ++i) { 461 rbuf_i = rbuf[i]; 462 rbuf_0 = rbuf_i[0]; 463 ct += rbuf_0; 464 for (j=1; j<=rbuf_0; j++) { total_sz += rbuf_i[2*j]; } 465 } 466 467 if (C->rmap->n) max1 = ct*(a->nz + b->nz)/C->rmap->n; 468 else max1 = 1; 469 mem_estimate = 3*((total_sz > max1 ? total_sz : max1)+1); 470 ierr = PetscMalloc(mem_estimate*sizeof(PetscInt),&xdata[0]);CHKERRQ(ierr); 471 ++no_malloc; 472 ierr = PetscBTCreate(m,xtable);CHKERRQ(ierr); 473 ierr = PetscMemzero(isz1,nrqr*sizeof(PetscInt));CHKERRQ(ierr); 474 475 ct3 = 0; 476 for (i=0; i<nrqr; i++) { /* for easch mesg from proc i */ 477 rbuf_i = rbuf[i]; 478 rbuf_0 = rbuf_i[0]; 479 ct1 = 2*rbuf_0+1; 480 ct2 = ct1; 481 ct3 += ct1; 482 for (j=1; j<=rbuf_0; j++) { /* for each IS from proc i*/ 483 ierr = PetscBTMemzero(m,xtable);CHKERRQ(ierr); 484 oct2 = ct2; 485 kmax = rbuf_i[2*j]; 486 for (k=0; k<kmax; k++,ct1++) { 487 row = rbuf_i[ct1]; 488 if (!PetscBTLookupSet(xtable,row)) { 489 if (!(ct3 < mem_estimate)) { 490 new_estimate = (PetscInt)(1.5*mem_estimate)+1; 491 ierr = PetscMalloc(new_estimate*sizeof(PetscInt),&tmp);CHKERRQ(ierr); 492 ierr = PetscMemcpy(tmp,xdata[0],mem_estimate*sizeof(PetscInt));CHKERRQ(ierr); 493 ierr = PetscFree(xdata[0]);CHKERRQ(ierr); 494 xdata[0] = tmp; 495 mem_estimate = new_estimate; ++no_malloc; 496 for (ctr=1; ctr<=i; ctr++) { xdata[ctr] = xdata[ctr-1] + isz1[ctr-1];} 497 } 498 xdata[i][ct2++] = row; 499 ct3++; 500 } 501 } 502 for (k=oct2,max2=ct2; k<max2; k++) { 503 row = xdata[i][k] - rstart; 504 start = ai[row]; 505 end = ai[row+1]; 506 for (l=start; l<end; l++) { 507 val = aj[l] + cstart; 508 if (!PetscBTLookupSet(xtable,val)) { 509 if (!(ct3 < mem_estimate)) { 510 new_estimate = (PetscInt)(1.5*mem_estimate)+1; 511 ierr = PetscMalloc(new_estimate*sizeof(PetscInt),&tmp);CHKERRQ(ierr); 512 ierr = PetscMemcpy(tmp,xdata[0],mem_estimate*sizeof(PetscInt));CHKERRQ(ierr); 513 ierr = PetscFree(xdata[0]);CHKERRQ(ierr); 514 xdata[0] = tmp; 515 mem_estimate = new_estimate; ++no_malloc; 516 for (ctr=1; ctr<=i; ctr++) { xdata[ctr] = xdata[ctr-1] + isz1[ctr-1];} 517 } 518 xdata[i][ct2++] = val; 519 ct3++; 520 } 521 } 522 start = bi[row]; 523 end = bi[row+1]; 524 for (l=start; l<end; l++) { 525 val = garray[bj[l]]; 526 if (!PetscBTLookupSet(xtable,val)) { 527 if (!(ct3 < mem_estimate)) { 528 new_estimate = (PetscInt)(1.5*mem_estimate)+1; 529 ierr = PetscMalloc(new_estimate*sizeof(PetscInt),&tmp);CHKERRQ(ierr); 530 ierr = PetscMemcpy(tmp,xdata[0],mem_estimate*sizeof(PetscInt));CHKERRQ(ierr); 531 ierr = PetscFree(xdata[0]);CHKERRQ(ierr); 532 xdata[0] = tmp; 533 mem_estimate = new_estimate; ++no_malloc; 534 for (ctr =1; ctr <=i; ctr++) { xdata[ctr] = xdata[ctr-1] + isz1[ctr-1];} 535 } 536 xdata[i][ct2++] = val; 537 ct3++; 538 } 539 } 540 } 541 /* Update the header*/ 542 xdata[i][2*j] = ct2 - oct2; /* Undo the vector isz1 and use only a var*/ 543 xdata[i][2*j-1] = rbuf_i[2*j-1]; 544 } 545 xdata[i][0] = rbuf_0; 546 xdata[i+1] = xdata[i] + ct2; 547 isz1[i] = ct2; /* size of each message */ 548 } 549 ierr = PetscBTDestroy(xtable);CHKERRQ(ierr); 550 ierr = PetscInfo4(C,"Allocated %D bytes, required %D bytes, no of mallocs = %D\n",rank,mem_estimate,ct3,no_malloc);CHKERRQ(ierr); 551 PetscFunctionReturn(0); 552 } 553 /* -------------------------------------------------------------------------*/ 554 EXTERN PetscErrorCode MatGetSubMatrices_MPIAIJ_Local(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat*); 555 EXTERN PetscErrorCode MatAssemblyEnd_SeqAIJ(Mat,MatAssemblyType); 556 /* 557 Every processor gets the entire matrix 558 */ 559 #undef __FUNCT__ 560 #define __FUNCT__ "MatGetSubMatrix_MPIAIJ_All" 561 PetscErrorCode MatGetSubMatrix_MPIAIJ_All(Mat A,MatGetSubMatrixOption flag,MatReuse scall,Mat *Bin[]) 562 { 563 Mat B; 564 Mat_MPIAIJ *a = (Mat_MPIAIJ *)A->data; 565 Mat_SeqAIJ *b,*ad = (Mat_SeqAIJ*)a->A->data,*bd = (Mat_SeqAIJ*)a->B->data; 566 PetscErrorCode ierr; 567 PetscMPIInt size,rank,*recvcounts = 0,*displs = 0; 568 PetscInt sendcount,i,*rstarts = A->rmap->range,n,cnt,j; 569 PetscInt m,*b_sendj,*garray = a->garray,*lens,*jsendbuf,*a_jsendbuf,*b_jsendbuf; 570 MatScalar *sendbuf,*recvbuf,*a_sendbuf,*b_sendbuf; 571 572 PetscFunctionBegin; 573 ierr = MPI_Comm_size(((PetscObject)A)->comm,&size);CHKERRQ(ierr); 574 ierr = MPI_Comm_rank(((PetscObject)A)->comm,&rank);CHKERRQ(ierr); 575 576 if (scall == MAT_INITIAL_MATRIX) { 577 /* ---------------------------------------------------------------- 578 Tell every processor the number of nonzeros per row 579 */ 580 ierr = PetscMalloc(A->rmap->N*sizeof(PetscInt),&lens);CHKERRQ(ierr); 581 for (i=A->rmap->rstart; i<A->rmap->rend; i++) { 582 lens[i] = ad->i[i-A->rmap->rstart+1] - ad->i[i-A->rmap->rstart] + bd->i[i-A->rmap->rstart+1] - bd->i[i-A->rmap->rstart]; 583 } 584 sendcount = A->rmap->rend - A->rmap->rstart; 585 ierr = PetscMalloc(2*size*sizeof(PetscMPIInt),&recvcounts);CHKERRQ(ierr); 586 displs = recvcounts + size; 587 for (i=0; i<size; i++) { 588 recvcounts[i] = A->rmap->range[i+1] - A->rmap->range[i]; 589 displs[i] = A->rmap->range[i]; 590 } 591 ierr = MPI_Allgatherv(lens+A->rmap->rstart,sendcount,MPIU_INT,lens,recvcounts,displs,MPIU_INT,((PetscObject)A)->comm);CHKERRQ(ierr); 592 593 /* --------------------------------------------------------------- 594 Create the sequential matrix of the same type as the local block diagonal 595 */ 596 ierr = MatCreate(PETSC_COMM_SELF,&B);CHKERRQ(ierr); 597 ierr = MatSetSizes(B,A->rmap->N,A->cmap->N,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); 598 ierr = MatSetType(B,((PetscObject)a->A)->type_name);CHKERRQ(ierr); 599 ierr = MatSeqAIJSetPreallocation(B,0,lens);CHKERRQ(ierr); 600 ierr = PetscMalloc(sizeof(Mat),Bin);CHKERRQ(ierr); 601 **Bin = B; 602 b = (Mat_SeqAIJ *)B->data; 603 604 /*-------------------------------------------------------------------- 605 Copy my part of matrix column indices over 606 */ 607 sendcount = ad->nz + bd->nz; 608 jsendbuf = b->j + b->i[rstarts[rank]]; 609 a_jsendbuf = ad->j; 610 b_jsendbuf = bd->j; 611 n = A->rmap->rend - A->rmap->rstart; 612 cnt = 0; 613 for (i=0; i<n; i++) { 614 615 /* put in lower diagonal portion */ 616 m = bd->i[i+1] - bd->i[i]; 617 while (m > 0) { 618 /* is it above diagonal (in bd (compressed) numbering) */ 619 if (garray[*b_jsendbuf] > A->rmap->rstart + i) break; 620 jsendbuf[cnt++] = garray[*b_jsendbuf++]; 621 m--; 622 } 623 624 /* put in diagonal portion */ 625 for (j=ad->i[i]; j<ad->i[i+1]; j++) { 626 jsendbuf[cnt++] = A->rmap->rstart + *a_jsendbuf++; 627 } 628 629 /* put in upper diagonal portion */ 630 while (m-- > 0) { 631 jsendbuf[cnt++] = garray[*b_jsendbuf++]; 632 } 633 } 634 if (cnt != sendcount) SETERRQ2(PETSC_ERR_PLIB,"Corrupted PETSc matrix: nz given %D actual nz %D",sendcount,cnt); 635 636 /*-------------------------------------------------------------------- 637 Gather all column indices to all processors 638 */ 639 for (i=0; i<size; i++) { 640 recvcounts[i] = 0; 641 for (j=A->rmap->range[i]; j<A->rmap->range[i+1]; j++) { 642 recvcounts[i] += lens[j]; 643 } 644 } 645 displs[0] = 0; 646 for (i=1; i<size; i++) { 647 displs[i] = displs[i-1] + recvcounts[i-1]; 648 } 649 ierr = MPI_Allgatherv(jsendbuf,sendcount,MPIU_INT,b->j,recvcounts,displs,MPIU_INT,((PetscObject)A)->comm);CHKERRQ(ierr); 650 651 /*-------------------------------------------------------------------- 652 Assemble the matrix into useable form (note numerical values not yet set) 653 */ 654 /* set the b->ilen (length of each row) values */ 655 ierr = PetscMemcpy(b->ilen,lens,A->rmap->N*sizeof(PetscInt));CHKERRQ(ierr); 656 /* set the b->i indices */ 657 b->i[0] = 0; 658 for (i=1; i<=A->rmap->N; i++) { 659 b->i[i] = b->i[i-1] + lens[i-1]; 660 } 661 ierr = PetscFree(lens);CHKERRQ(ierr); 662 ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 663 ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 664 665 } else { 666 B = **Bin; 667 b = (Mat_SeqAIJ *)B->data; 668 } 669 670 /*-------------------------------------------------------------------- 671 Copy my part of matrix numerical values into the values location 672 */ 673 if (flag == MAT_GET_VALUES){ 674 sendcount = ad->nz + bd->nz; 675 sendbuf = b->a + b->i[rstarts[rank]]; 676 a_sendbuf = ad->a; 677 b_sendbuf = bd->a; 678 b_sendj = bd->j; 679 n = A->rmap->rend - A->rmap->rstart; 680 cnt = 0; 681 for (i=0; i<n; i++) { 682 683 /* put in lower diagonal portion */ 684 m = bd->i[i+1] - bd->i[i]; 685 while (m > 0) { 686 /* is it above diagonal (in bd (compressed) numbering) */ 687 if (garray[*b_sendj] > A->rmap->rstart + i) break; 688 sendbuf[cnt++] = *b_sendbuf++; 689 m--; 690 b_sendj++; 691 } 692 693 /* put in diagonal portion */ 694 for (j=ad->i[i]; j<ad->i[i+1]; j++) { 695 sendbuf[cnt++] = *a_sendbuf++; 696 } 697 698 /* put in upper diagonal portion */ 699 while (m-- > 0) { 700 sendbuf[cnt++] = *b_sendbuf++; 701 b_sendj++; 702 } 703 } 704 if (cnt != sendcount) SETERRQ2(PETSC_ERR_PLIB,"Corrupted PETSc matrix: nz given %D actual nz %D",sendcount,cnt); 705 706 /* ----------------------------------------------------------------- 707 Gather all numerical values to all processors 708 */ 709 if (!recvcounts) { 710 ierr = PetscMalloc(2*size*sizeof(PetscInt),&recvcounts);CHKERRQ(ierr); 711 displs = recvcounts + size; 712 } 713 for (i=0; i<size; i++) { 714 recvcounts[i] = b->i[rstarts[i+1]] - b->i[rstarts[i]]; 715 } 716 displs[0] = 0; 717 for (i=1; i<size; i++) { 718 displs[i] = displs[i-1] + recvcounts[i-1]; 719 } 720 recvbuf = b->a; 721 ierr = MPI_Allgatherv(sendbuf,sendcount,MPIU_SCALAR,recvbuf,recvcounts,displs,MPIU_SCALAR,((PetscObject)A)->comm);CHKERRQ(ierr); 722 } /* endof (flag == MAT_GET_VALUES) */ 723 ierr = PetscFree(recvcounts);CHKERRQ(ierr); 724 725 if (A->symmetric){ 726 ierr = MatSetOption(B,MAT_SYMMETRIC,PETSC_TRUE);CHKERRQ(ierr); 727 } else if (A->hermitian) { 728 ierr = MatSetOption(B,MAT_HERMITIAN,PETSC_TRUE);CHKERRQ(ierr); 729 } else if (A->structurally_symmetric) { 730 ierr = MatSetOption(B,MAT_STRUCTURALLY_SYMMETRIC,PETSC_TRUE);CHKERRQ(ierr); 731 } 732 PetscFunctionReturn(0); 733 } 734 735 #undef __FUNCT__ 736 #define __FUNCT__ "MatGetSubMatrices_MPIAIJ" 737 PetscErrorCode MatGetSubMatrices_MPIAIJ(Mat C,PetscInt ismax,const IS isrow[],const IS iscol[],MatReuse scall,Mat *submat[]) 738 { 739 PetscErrorCode ierr; 740 PetscInt nmax,nstages_local,nstages,i,pos,max_no,nrow,ncol; 741 PetscTruth rowflag,colflag,wantallmatrix = PETSC_FALSE,twantallmatrix; 742 743 PetscFunctionBegin; 744 /* 745 Check for special case each processor gets entire matrix 746 */ 747 if (ismax == 1 && C->rmap->N == C->cmap->N) { 748 ierr = ISIdentity(*isrow,&rowflag);CHKERRQ(ierr); 749 ierr = ISIdentity(*iscol,&colflag);CHKERRQ(ierr); 750 ierr = ISGetLocalSize(*isrow,&nrow);CHKERRQ(ierr); 751 ierr = ISGetLocalSize(*iscol,&ncol);CHKERRQ(ierr); 752 if (rowflag && colflag && nrow == C->rmap->N && ncol == C->cmap->N) { 753 wantallmatrix = PETSC_TRUE; 754 ierr = PetscOptionsGetTruth(((PetscObject)C)->prefix,"-use_fast_submatrix",&wantallmatrix,PETSC_NULL);CHKERRQ(ierr); 755 } 756 } 757 ierr = MPI_Allreduce(&wantallmatrix,&twantallmatrix,1,MPI_INT,MPI_MIN,((PetscObject)C)->comm);CHKERRQ(ierr); 758 if (twantallmatrix) { 759 ierr = MatGetSubMatrix_MPIAIJ_All(C,MAT_GET_VALUES,scall,submat);CHKERRQ(ierr); 760 PetscFunctionReturn(0); 761 } 762 763 /* Allocate memory to hold all the submatrices */ 764 if (scall != MAT_REUSE_MATRIX) { 765 ierr = PetscMalloc((ismax+1)*sizeof(Mat),submat);CHKERRQ(ierr); 766 } 767 /* Determine the number of stages through which submatrices are done */ 768 nmax = 20*1000000 / (C->cmap->N * sizeof(PetscInt)); 769 if (!nmax) nmax = 1; 770 nstages_local = ismax/nmax + ((ismax % nmax)?1:0); 771 772 /* Make sure every processor loops through the nstages */ 773 ierr = MPI_Allreduce(&nstages_local,&nstages,1,MPIU_INT,MPI_MAX,((PetscObject)C)->comm);CHKERRQ(ierr); 774 775 for (i=0,pos=0; i<nstages; i++) { 776 if (pos+nmax <= ismax) max_no = nmax; 777 else if (pos == ismax) max_no = 0; 778 else max_no = ismax-pos; 779 ierr = MatGetSubMatrices_MPIAIJ_Local(C,max_no,isrow+pos,iscol+pos,scall,*submat+pos);CHKERRQ(ierr); 780 pos += max_no; 781 } 782 PetscFunctionReturn(0); 783 } 784 /* -------------------------------------------------------------------------*/ 785 #undef __FUNCT__ 786 #define __FUNCT__ "MatGetSubMatrices_MPIAIJ_Local" 787 PetscErrorCode MatGetSubMatrices_MPIAIJ_Local(Mat C,PetscInt ismax,const IS isrow[],const IS iscol[],MatReuse scall,Mat *submats) 788 { 789 Mat_MPIAIJ *c = (Mat_MPIAIJ*)C->data; 790 Mat A = c->A; 791 Mat_SeqAIJ *a = (Mat_SeqAIJ*)A->data,*b = (Mat_SeqAIJ*)c->B->data,*mat; 792 const PetscInt **icol,**irow; 793 PetscInt *nrow,*ncol,start; 794 PetscErrorCode ierr; 795 PetscMPIInt rank,size,tag0,tag1,tag2,tag3,*w1,*w2,*w3,*w4,nrqr; 796 PetscInt **sbuf1,**sbuf2,i,j,k,l,ct1,ct2,**rbuf1,row,proc; 797 PetscInt nrqs,msz,**ptr,*req_size,*ctr,*pa,*tmp,tcol; 798 PetscInt **rbuf3,*req_source,**sbuf_aj,**rbuf2,max1,max2,**rmap; 799 PetscInt **cmap,**lens,is_no,ncols,*cols,mat_i,*mat_j,tmp2,jmax; 800 const PetscInt *irow_i; 801 PetscInt len,ctr_j,*sbuf1_j,*sbuf_aj_i,*rbuf1_i,kmax,*cmap_i,*lens_i; 802 PetscInt *rmap_i; 803 MPI_Request *s_waits1,*r_waits1,*s_waits2,*r_waits2,*r_waits3; 804 MPI_Request *r_waits4,*s_waits3,*s_waits4; 805 MPI_Status *r_status1,*r_status2,*s_status1,*s_status3,*s_status2; 806 MPI_Status *r_status3,*r_status4,*s_status4; 807 MPI_Comm comm; 808 PetscScalar **rbuf4,**sbuf_aa,*vals,*mat_a,*sbuf_aa_i; 809 PetscTruth sorted; 810 PetscMPIInt *onodes1,*olengths1; 811 PetscMPIInt idex,idex2,end; 812 813 PetscFunctionBegin; 814 comm = ((PetscObject)C)->comm; 815 tag0 = ((PetscObject)C)->tag; 816 size = c->size; 817 rank = c->rank; 818 819 /* Get some new tags to keep the communication clean */ 820 ierr = PetscObjectGetNewTag((PetscObject)C,&tag1);CHKERRQ(ierr); 821 ierr = PetscObjectGetNewTag((PetscObject)C,&tag2);CHKERRQ(ierr); 822 ierr = PetscObjectGetNewTag((PetscObject)C,&tag3);CHKERRQ(ierr); 823 824 /* Check if the col indices are sorted */ 825 for (i=0; i<ismax; i++) { 826 ierr = ISSorted(isrow[i],&sorted);CHKERRQ(ierr); 827 /*if (!sorted) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"isrow is not sorted");*/ 828 ierr = ISSorted(iscol[i],&sorted);CHKERRQ(ierr); 829 /* if (!sorted) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"iscol is not sorted"); */ 830 } 831 832 len = (2*ismax+1)*(sizeof(PetscInt*)+ sizeof(PetscInt)); 833 ierr = PetscMalloc(len,&irow);CHKERRQ(ierr); 834 icol = irow + ismax; 835 nrow = (PetscInt*)(icol + ismax); 836 ncol = nrow + ismax; 837 838 for (i=0; i<ismax; i++) { 839 ierr = ISGetIndices(isrow[i],&irow[i]);CHKERRQ(ierr); 840 ierr = ISGetIndices(iscol[i],&icol[i]);CHKERRQ(ierr); 841 ierr = ISGetLocalSize(isrow[i],&nrow[i]);CHKERRQ(ierr); 842 ierr = ISGetLocalSize(iscol[i],&ncol[i]);CHKERRQ(ierr); 843 } 844 845 /* evaluate communication - mesg to who, length of mesg, and buffer space 846 required. Based on this, buffers are allocated, and data copied into them*/ 847 ierr = PetscMalloc(size*4*sizeof(PetscMPIInt),&w1);CHKERRQ(ierr); /* mesg size */ 848 w2 = w1 + size; /* if w2[i] marked, then a message to proc i*/ 849 w3 = w2 + size; /* no of IS that needs to be sent to proc i */ 850 w4 = w3 + size; /* temp work space used in determining w1, w2, w3 */ 851 ierr = PetscMemzero(w1,size*3*sizeof(PetscMPIInt));CHKERRQ(ierr); /* initialize work vector*/ 852 for (i=0; i<ismax; i++) { 853 ierr = PetscMemzero(w4,size*sizeof(PetscMPIInt));CHKERRQ(ierr); /* initialize work vector*/ 854 jmax = nrow[i]; 855 irow_i = irow[i]; 856 for (j=0; j<jmax; j++) { 857 l = 0; 858 row = irow_i[j]; 859 while (row >= C->rmap->range[l+1]) l++; 860 proc = l; 861 w4[proc]++; 862 } 863 for (j=0; j<size; j++) { 864 if (w4[j]) { w1[j] += w4[j]; w3[j]++;} 865 } 866 } 867 868 nrqs = 0; /* no of outgoing messages */ 869 msz = 0; /* total mesg length (for all procs) */ 870 w1[rank] = 0; /* no mesg sent to self */ 871 w3[rank] = 0; 872 for (i=0; i<size; i++) { 873 if (w1[i]) { w2[i] = 1; nrqs++;} /* there exists a message to proc i */ 874 } 875 ierr = PetscMalloc((nrqs+1)*sizeof(PetscInt),&pa);CHKERRQ(ierr); /*(proc -array)*/ 876 for (i=0,j=0; i<size; i++) { 877 if (w1[i]) { pa[j] = i; j++; } 878 } 879 880 /* Each message would have a header = 1 + 2*(no of IS) + data */ 881 for (i=0; i<nrqs; i++) { 882 j = pa[i]; 883 w1[j] += w2[j] + 2* w3[j]; 884 msz += w1[j]; 885 } 886 887 /* Determine the number of messages to expect, their lengths, from from-ids */ 888 ierr = PetscGatherNumberOfMessages(comm,w2,w1,&nrqr);CHKERRQ(ierr); 889 ierr = PetscGatherMessageLengths(comm,nrqs,nrqr,w1,&onodes1,&olengths1);CHKERRQ(ierr); 890 891 /* Now post the Irecvs corresponding to these messages */ 892 ierr = PetscPostIrecvInt(comm,tag0,nrqr,onodes1,olengths1,&rbuf1,&r_waits1);CHKERRQ(ierr); 893 894 ierr = PetscFree(onodes1);CHKERRQ(ierr); 895 ierr = PetscFree(olengths1);CHKERRQ(ierr); 896 897 /* Allocate Memory for outgoing messages */ 898 len = 2*size*sizeof(PetscInt*) + 2*msz*sizeof(PetscInt) + size*sizeof(PetscInt); 899 ierr = PetscMalloc(len,&sbuf1);CHKERRQ(ierr); 900 ptr = sbuf1 + size; /* Pointers to the data in outgoing buffers */ 901 ierr = PetscMemzero(sbuf1,2*size*sizeof(PetscInt*));CHKERRQ(ierr); 902 /* allocate memory for outgoing data + buf to receive the first reply */ 903 tmp = (PetscInt*)(ptr + size); 904 ctr = tmp + 2*msz; 905 906 { 907 PetscInt *iptr = tmp,ict = 0; 908 for (i=0; i<nrqs; i++) { 909 j = pa[i]; 910 iptr += ict; 911 sbuf1[j] = iptr; 912 ict = w1[j]; 913 } 914 } 915 916 /* Form the outgoing messages */ 917 /* Initialize the header space */ 918 for (i=0; i<nrqs; i++) { 919 j = pa[i]; 920 sbuf1[j][0] = 0; 921 ierr = PetscMemzero(sbuf1[j]+1,2*w3[j]*sizeof(PetscInt));CHKERRQ(ierr); 922 ptr[j] = sbuf1[j] + 2*w3[j] + 1; 923 } 924 925 /* Parse the isrow and copy data into outbuf */ 926 for (i=0; i<ismax; i++) { 927 ierr = PetscMemzero(ctr,size*sizeof(PetscInt));CHKERRQ(ierr); 928 irow_i = irow[i]; 929 jmax = nrow[i]; 930 for (j=0; j<jmax; j++) { /* parse the indices of each IS */ 931 l = 0; 932 row = irow_i[j]; 933 while (row >= C->rmap->range[l+1]) l++; 934 proc = l; 935 if (proc != rank) { /* copy to the outgoing buf*/ 936 ctr[proc]++; 937 *ptr[proc] = row; 938 ptr[proc]++; 939 } 940 } 941 /* Update the headers for the current IS */ 942 for (j=0; j<size; j++) { /* Can Optimise this loop too */ 943 if ((ctr_j = ctr[j])) { 944 sbuf1_j = sbuf1[j]; 945 k = ++sbuf1_j[0]; 946 sbuf1_j[2*k] = ctr_j; 947 sbuf1_j[2*k-1] = i; 948 } 949 } 950 } 951 952 /* Now post the sends */ 953 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Request),&s_waits1);CHKERRQ(ierr); 954 for (i=0; i<nrqs; ++i) { 955 j = pa[i]; 956 ierr = MPI_Isend(sbuf1[j],w1[j],MPIU_INT,j,tag0,comm,s_waits1+i);CHKERRQ(ierr); 957 } 958 959 /* Post Receives to capture the buffer size */ 960 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Request),&r_waits2);CHKERRQ(ierr); 961 ierr = PetscMalloc((nrqs+1)*sizeof(PetscInt*),&rbuf2);CHKERRQ(ierr); 962 rbuf2[0] = tmp + msz; 963 for (i=1; i<nrqs; ++i) { 964 rbuf2[i] = rbuf2[i-1]+w1[pa[i-1]]; 965 } 966 for (i=0; i<nrqs; ++i) { 967 j = pa[i]; 968 ierr = MPI_Irecv(rbuf2[i],w1[j],MPIU_INT,j,tag1,comm,r_waits2+i);CHKERRQ(ierr); 969 } 970 971 /* Send to other procs the buf size they should allocate */ 972 973 974 /* Receive messages*/ 975 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Request),&s_waits2);CHKERRQ(ierr); 976 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Status),&r_status1);CHKERRQ(ierr); 977 len = 2*nrqr*sizeof(PetscInt) + (nrqr+1)*sizeof(PetscInt*); 978 ierr = PetscMalloc(len,&sbuf2);CHKERRQ(ierr); 979 req_size = (PetscInt*)(sbuf2 + nrqr); 980 req_source = req_size + nrqr; 981 982 { 983 Mat_SeqAIJ *sA = (Mat_SeqAIJ*)c->A->data,*sB = (Mat_SeqAIJ*)c->B->data; 984 PetscInt *sAi = sA->i,*sBi = sB->i,id,rstart = C->rmap->rstart; 985 PetscInt *sbuf2_i; 986 987 for (i=0; i<nrqr; ++i) { 988 ierr = MPI_Waitany(nrqr,r_waits1,&idex,r_status1+i);CHKERRQ(ierr); 989 req_size[idex] = 0; 990 rbuf1_i = rbuf1[idex]; 991 start = 2*rbuf1_i[0] + 1; 992 ierr = MPI_Get_count(r_status1+i,MPIU_INT,&end);CHKERRQ(ierr); 993 ierr = PetscMalloc((end+1)*sizeof(PetscInt),&sbuf2[idex]);CHKERRQ(ierr); 994 sbuf2_i = sbuf2[idex]; 995 for (j=start; j<end; j++) { 996 id = rbuf1_i[j] - rstart; 997 ncols = sAi[id+1] - sAi[id] + sBi[id+1] - sBi[id]; 998 sbuf2_i[j] = ncols; 999 req_size[idex] += ncols; 1000 } 1001 req_source[idex] = r_status1[i].MPI_SOURCE; 1002 /* form the header */ 1003 sbuf2_i[0] = req_size[idex]; 1004 for (j=1; j<start; j++) { sbuf2_i[j] = rbuf1_i[j]; } 1005 ierr = MPI_Isend(sbuf2_i,end,MPIU_INT,req_source[idex],tag1,comm,s_waits2+i);CHKERRQ(ierr); 1006 } 1007 } 1008 ierr = PetscFree(r_status1);CHKERRQ(ierr); 1009 ierr = PetscFree(r_waits1);CHKERRQ(ierr); 1010 1011 /* recv buffer sizes */ 1012 /* Receive messages*/ 1013 1014 ierr = PetscMalloc((nrqs+1)*sizeof(PetscInt*),&rbuf3);CHKERRQ(ierr); 1015 ierr = PetscMalloc((nrqs+1)*sizeof(PetscScalar*),&rbuf4);CHKERRQ(ierr); 1016 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Request),&r_waits3);CHKERRQ(ierr); 1017 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Request),&r_waits4);CHKERRQ(ierr); 1018 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Status),&r_status2);CHKERRQ(ierr); 1019 1020 for (i=0; i<nrqs; ++i) { 1021 ierr = MPI_Waitany(nrqs,r_waits2,&idex,r_status2+i);CHKERRQ(ierr); 1022 ierr = PetscMalloc((rbuf2[idex][0]+1)*sizeof(PetscInt),&rbuf3[idex]);CHKERRQ(ierr); 1023 ierr = PetscMalloc((rbuf2[idex][0]+1)*sizeof(PetscScalar),&rbuf4[idex]);CHKERRQ(ierr); 1024 ierr = MPI_Irecv(rbuf3[idex],rbuf2[idex][0],MPIU_INT,r_status2[i].MPI_SOURCE,tag2,comm,r_waits3+idex);CHKERRQ(ierr); 1025 ierr = MPI_Irecv(rbuf4[idex],rbuf2[idex][0],MPIU_SCALAR,r_status2[i].MPI_SOURCE,tag3,comm,r_waits4+idex);CHKERRQ(ierr); 1026 } 1027 ierr = PetscFree(r_status2);CHKERRQ(ierr); 1028 ierr = PetscFree(r_waits2);CHKERRQ(ierr); 1029 1030 /* Wait on sends1 and sends2 */ 1031 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Status),&s_status1);CHKERRQ(ierr); 1032 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Status),&s_status2);CHKERRQ(ierr); 1033 1034 if (nrqs) {ierr = MPI_Waitall(nrqs,s_waits1,s_status1);CHKERRQ(ierr);} 1035 if (nrqr) {ierr = MPI_Waitall(nrqr,s_waits2,s_status2);CHKERRQ(ierr);} 1036 ierr = PetscFree(s_status1);CHKERRQ(ierr); 1037 ierr = PetscFree(s_status2);CHKERRQ(ierr); 1038 ierr = PetscFree(s_waits1);CHKERRQ(ierr); 1039 ierr = PetscFree(s_waits2);CHKERRQ(ierr); 1040 1041 /* Now allocate buffers for a->j, and send them off */ 1042 ierr = PetscMalloc((nrqr+1)*sizeof(PetscInt*),&sbuf_aj);CHKERRQ(ierr); 1043 for (i=0,j=0; i<nrqr; i++) j += req_size[i]; 1044 ierr = PetscMalloc((j+1)*sizeof(PetscInt),&sbuf_aj[0]);CHKERRQ(ierr); 1045 for (i=1; i<nrqr; i++) sbuf_aj[i] = sbuf_aj[i-1] + req_size[i-1]; 1046 1047 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Request),&s_waits3);CHKERRQ(ierr); 1048 { 1049 PetscInt nzA,nzB,*a_i = a->i,*b_i = b->i,lwrite; 1050 PetscInt *cworkA,*cworkB,cstart = C->cmap->rstart,rstart = C->rmap->rstart,*bmap = c->garray; 1051 PetscInt cend = C->cmap->rend; 1052 PetscInt *a_j = a->j,*b_j = b->j,ctmp; 1053 1054 for (i=0; i<nrqr; i++) { 1055 rbuf1_i = rbuf1[i]; 1056 sbuf_aj_i = sbuf_aj[i]; 1057 ct1 = 2*rbuf1_i[0] + 1; 1058 ct2 = 0; 1059 for (j=1,max1=rbuf1_i[0]; j<=max1; j++) { 1060 kmax = rbuf1[i][2*j]; 1061 for (k=0; k<kmax; k++,ct1++) { 1062 row = rbuf1_i[ct1] - rstart; 1063 nzA = a_i[row+1] - a_i[row]; nzB = b_i[row+1] - b_i[row]; 1064 ncols = nzA + nzB; 1065 cworkA = a_j + a_i[row]; cworkB = b_j + b_i[row]; 1066 1067 /* load the column indices for this row into cols*/ 1068 cols = sbuf_aj_i + ct2; 1069 1070 lwrite = 0; 1071 for (l=0; l<nzB; l++) { 1072 if ((ctmp = bmap[cworkB[l]]) < cstart) cols[lwrite++] = ctmp; 1073 } 1074 for (l=0; l<nzA; l++) cols[lwrite++] = cstart + cworkA[l]; 1075 for (l=0; l<nzB; l++) { 1076 if ((ctmp = bmap[cworkB[l]]) >= cend) cols[lwrite++] = ctmp; 1077 } 1078 1079 ct2 += ncols; 1080 } 1081 } 1082 ierr = MPI_Isend(sbuf_aj_i,req_size[i],MPIU_INT,req_source[i],tag2,comm,s_waits3+i);CHKERRQ(ierr); 1083 } 1084 } 1085 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Status),&r_status3);CHKERRQ(ierr); 1086 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Status),&s_status3);CHKERRQ(ierr); 1087 1088 /* Allocate buffers for a->a, and send them off */ 1089 ierr = PetscMalloc((nrqr+1)*sizeof(PetscScalar*),&sbuf_aa);CHKERRQ(ierr); 1090 for (i=0,j=0; i<nrqr; i++) j += req_size[i]; 1091 ierr = PetscMalloc((j+1)*sizeof(PetscScalar),&sbuf_aa[0]);CHKERRQ(ierr); 1092 for (i=1; i<nrqr; i++) sbuf_aa[i] = sbuf_aa[i-1] + req_size[i-1]; 1093 1094 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Request),&s_waits4);CHKERRQ(ierr); 1095 { 1096 PetscInt nzA,nzB,*a_i = a->i,*b_i = b->i, *cworkB,lwrite; 1097 PetscInt cstart = C->cmap->rstart,rstart = C->rmap->rstart,*bmap = c->garray; 1098 PetscInt cend = C->cmap->rend; 1099 PetscInt *b_j = b->j; 1100 PetscScalar *vworkA,*vworkB,*a_a = a->a,*b_a = b->a; 1101 1102 for (i=0; i<nrqr; i++) { 1103 rbuf1_i = rbuf1[i]; 1104 sbuf_aa_i = sbuf_aa[i]; 1105 ct1 = 2*rbuf1_i[0]+1; 1106 ct2 = 0; 1107 for (j=1,max1=rbuf1_i[0]; j<=max1; j++) { 1108 kmax = rbuf1_i[2*j]; 1109 for (k=0; k<kmax; k++,ct1++) { 1110 row = rbuf1_i[ct1] - rstart; 1111 nzA = a_i[row+1] - a_i[row]; nzB = b_i[row+1] - b_i[row]; 1112 ncols = nzA + nzB; 1113 cworkB = b_j + b_i[row]; 1114 vworkA = a_a + a_i[row]; 1115 vworkB = b_a + b_i[row]; 1116 1117 /* load the column values for this row into vals*/ 1118 vals = sbuf_aa_i+ct2; 1119 1120 lwrite = 0; 1121 for (l=0; l<nzB; l++) { 1122 if ((bmap[cworkB[l]]) < cstart) vals[lwrite++] = vworkB[l]; 1123 } 1124 for (l=0; l<nzA; l++) vals[lwrite++] = vworkA[l]; 1125 for (l=0; l<nzB; l++) { 1126 if ((bmap[cworkB[l]]) >= cend) vals[lwrite++] = vworkB[l]; 1127 } 1128 1129 ct2 += ncols; 1130 } 1131 } 1132 ierr = MPI_Isend(sbuf_aa_i,req_size[i],MPIU_SCALAR,req_source[i],tag3,comm,s_waits4+i);CHKERRQ(ierr); 1133 } 1134 } 1135 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Status),&r_status4);CHKERRQ(ierr); 1136 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Status),&s_status4);CHKERRQ(ierr); 1137 ierr = PetscFree(rbuf1);CHKERRQ(ierr); 1138 1139 /* Form the matrix */ 1140 /* create col map */ 1141 { 1142 const PetscInt *icol_i; 1143 1144 len = (1+ismax)*sizeof(PetscInt*)+ (1+ismax*C->cmap->N)*sizeof(PetscInt); 1145 ierr = PetscMalloc(len,&cmap);CHKERRQ(ierr); 1146 cmap[0] = (PetscInt*)(cmap + ismax); 1147 ierr = PetscMemzero(cmap[0],(1+ismax*C->cmap->N)*sizeof(PetscInt));CHKERRQ(ierr); 1148 for (i=1; i<ismax; i++) { cmap[i] = cmap[i-1] + C->cmap->N; } 1149 for (i=0; i<ismax; i++) { 1150 jmax = ncol[i]; 1151 icol_i = icol[i]; 1152 cmap_i = cmap[i]; 1153 for (j=0; j<jmax; j++) { 1154 cmap_i[icol_i[j]] = j+1; 1155 } 1156 } 1157 } 1158 1159 /* Create lens which is required for MatCreate... */ 1160 for (i=0,j=0; i<ismax; i++) { j += nrow[i]; } 1161 len = (1+ismax)*sizeof(PetscInt*)+ j*sizeof(PetscInt); 1162 ierr = PetscMalloc(len,&lens);CHKERRQ(ierr); 1163 lens[0] = (PetscInt*)(lens + ismax); 1164 ierr = PetscMemzero(lens[0],j*sizeof(PetscInt));CHKERRQ(ierr); 1165 for (i=1; i<ismax; i++) { lens[i] = lens[i-1] + nrow[i-1]; } 1166 1167 /* Update lens from local data */ 1168 for (i=0; i<ismax; i++) { 1169 jmax = nrow[i]; 1170 cmap_i = cmap[i]; 1171 irow_i = irow[i]; 1172 lens_i = lens[i]; 1173 for (j=0; j<jmax; j++) { 1174 l = 0; 1175 row = irow_i[j]; 1176 while (row >= C->rmap->range[l+1]) l++; 1177 proc = l; 1178 if (proc == rank) { 1179 ierr = MatGetRow_MPIAIJ(C,row,&ncols,&cols,0);CHKERRQ(ierr); 1180 for (k=0; k<ncols; k++) { 1181 if (cmap_i[cols[k]]) { lens_i[j]++;} 1182 } 1183 ierr = MatRestoreRow_MPIAIJ(C,row,&ncols,&cols,0);CHKERRQ(ierr); 1184 } 1185 } 1186 } 1187 1188 /* Create row map*/ 1189 len = (1+ismax)*sizeof(PetscInt*)+ ismax*C->rmap->N*sizeof(PetscInt); 1190 ierr = PetscMalloc(len,&rmap);CHKERRQ(ierr); 1191 rmap[0] = (PetscInt*)(rmap + ismax); 1192 ierr = PetscMemzero(rmap[0],ismax*C->rmap->N*sizeof(PetscInt));CHKERRQ(ierr); 1193 for (i=1; i<ismax; i++) { rmap[i] = rmap[i-1] + C->rmap->N;} 1194 for (i=0; i<ismax; i++) { 1195 rmap_i = rmap[i]; 1196 irow_i = irow[i]; 1197 jmax = nrow[i]; 1198 for (j=0; j<jmax; j++) { 1199 rmap_i[irow_i[j]] = j; 1200 } 1201 } 1202 1203 /* Update lens from offproc data */ 1204 { 1205 PetscInt *rbuf2_i,*rbuf3_i,*sbuf1_i; 1206 1207 for (tmp2=0; tmp2<nrqs; tmp2++) { 1208 ierr = MPI_Waitany(nrqs,r_waits3,&idex2,r_status3+tmp2);CHKERRQ(ierr); 1209 idex = pa[idex2]; 1210 sbuf1_i = sbuf1[idex]; 1211 jmax = sbuf1_i[0]; 1212 ct1 = 2*jmax+1; 1213 ct2 = 0; 1214 rbuf2_i = rbuf2[idex2]; 1215 rbuf3_i = rbuf3[idex2]; 1216 for (j=1; j<=jmax; j++) { 1217 is_no = sbuf1_i[2*j-1]; 1218 max1 = sbuf1_i[2*j]; 1219 lens_i = lens[is_no]; 1220 cmap_i = cmap[is_no]; 1221 rmap_i = rmap[is_no]; 1222 for (k=0; k<max1; k++,ct1++) { 1223 row = rmap_i[sbuf1_i[ct1]]; /* the val in the new matrix to be */ 1224 max2 = rbuf2_i[ct1]; 1225 for (l=0; l<max2; l++,ct2++) { 1226 if (cmap_i[rbuf3_i[ct2]]) { 1227 lens_i[row]++; 1228 } 1229 } 1230 } 1231 } 1232 } 1233 } 1234 ierr = PetscFree(r_status3);CHKERRQ(ierr); 1235 ierr = PetscFree(r_waits3);CHKERRQ(ierr); 1236 if (nrqr) {ierr = MPI_Waitall(nrqr,s_waits3,s_status3);CHKERRQ(ierr);} 1237 ierr = PetscFree(s_status3);CHKERRQ(ierr); 1238 ierr = PetscFree(s_waits3);CHKERRQ(ierr); 1239 1240 /* Create the submatrices */ 1241 if (scall == MAT_REUSE_MATRIX) { 1242 PetscTruth flag; 1243 1244 /* 1245 Assumes new rows are same length as the old rows,hence bug! 1246 */ 1247 for (i=0; i<ismax; i++) { 1248 mat = (Mat_SeqAIJ *)(submats[i]->data); 1249 if ((submats[i]->rmap->n != nrow[i]) || (submats[i]->cmap->n != ncol[i])) { 1250 SETERRQ(PETSC_ERR_ARG_SIZ,"Cannot reuse matrix. wrong size"); 1251 } 1252 ierr = PetscMemcmp(mat->ilen,lens[i],submats[i]->rmap->n*sizeof(PetscInt),&flag);CHKERRQ(ierr); 1253 if (!flag) { 1254 SETERRQ(PETSC_ERR_ARG_SIZ,"Cannot reuse matrix. wrong no of nonzeros"); 1255 } 1256 /* Initial matrix as if empty */ 1257 ierr = PetscMemzero(mat->ilen,submats[i]->rmap->n*sizeof(PetscInt));CHKERRQ(ierr); 1258 submats[i]->factor = C->factor; 1259 } 1260 } else { 1261 for (i=0; i<ismax; i++) { 1262 ierr = MatCreate(PETSC_COMM_SELF,submats+i);CHKERRQ(ierr); 1263 ierr = MatSetSizes(submats[i],nrow[i],ncol[i],PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); 1264 ierr = MatSetType(submats[i],((PetscObject)A)->type_name);CHKERRQ(ierr); 1265 ierr = MatSeqAIJSetPreallocation(submats[i],0,lens[i]);CHKERRQ(ierr); 1266 } 1267 } 1268 1269 /* Assemble the matrices */ 1270 /* First assemble the local rows */ 1271 { 1272 PetscInt ilen_row,*imat_ilen,*imat_j,*imat_i,old_row; 1273 PetscScalar *imat_a; 1274 1275 for (i=0; i<ismax; i++) { 1276 mat = (Mat_SeqAIJ*)submats[i]->data; 1277 imat_ilen = mat->ilen; 1278 imat_j = mat->j; 1279 imat_i = mat->i; 1280 imat_a = mat->a; 1281 cmap_i = cmap[i]; 1282 rmap_i = rmap[i]; 1283 irow_i = irow[i]; 1284 jmax = nrow[i]; 1285 for (j=0; j<jmax; j++) { 1286 l = 0; 1287 row = irow_i[j]; 1288 while (row >= C->rmap->range[l+1]) l++; 1289 proc = l; 1290 if (proc == rank) { 1291 old_row = row; 1292 row = rmap_i[row]; 1293 ilen_row = imat_ilen[row]; 1294 ierr = MatGetRow_MPIAIJ(C,old_row,&ncols,&cols,&vals);CHKERRQ(ierr); 1295 mat_i = imat_i[row] ; 1296 mat_a = imat_a + mat_i; 1297 mat_j = imat_j + mat_i; 1298 for (k=0; k<ncols; k++) { 1299 if ((tcol = cmap_i[cols[k]])) { 1300 *mat_j++ = tcol - 1; 1301 *mat_a++ = vals[k]; 1302 ilen_row++; 1303 } 1304 } 1305 ierr = MatRestoreRow_MPIAIJ(C,old_row,&ncols,&cols,&vals);CHKERRQ(ierr); 1306 imat_ilen[row] = ilen_row; 1307 } 1308 } 1309 } 1310 } 1311 1312 /* Now assemble the off proc rows*/ 1313 { 1314 PetscInt *sbuf1_i,*rbuf2_i,*rbuf3_i,*imat_ilen,ilen; 1315 PetscInt *imat_j,*imat_i; 1316 PetscScalar *imat_a,*rbuf4_i; 1317 1318 for (tmp2=0; tmp2<nrqs; tmp2++) { 1319 ierr = MPI_Waitany(nrqs,r_waits4,&idex2,r_status4+tmp2);CHKERRQ(ierr); 1320 idex = pa[idex2]; 1321 sbuf1_i = sbuf1[idex]; 1322 jmax = sbuf1_i[0]; 1323 ct1 = 2*jmax + 1; 1324 ct2 = 0; 1325 rbuf2_i = rbuf2[idex2]; 1326 rbuf3_i = rbuf3[idex2]; 1327 rbuf4_i = rbuf4[idex2]; 1328 for (j=1; j<=jmax; j++) { 1329 is_no = sbuf1_i[2*j-1]; 1330 rmap_i = rmap[is_no]; 1331 cmap_i = cmap[is_no]; 1332 mat = (Mat_SeqAIJ*)submats[is_no]->data; 1333 imat_ilen = mat->ilen; 1334 imat_j = mat->j; 1335 imat_i = mat->i; 1336 imat_a = mat->a; 1337 max1 = sbuf1_i[2*j]; 1338 for (k=0; k<max1; k++,ct1++) { 1339 row = sbuf1_i[ct1]; 1340 row = rmap_i[row]; 1341 ilen = imat_ilen[row]; 1342 mat_i = imat_i[row] ; 1343 mat_a = imat_a + mat_i; 1344 mat_j = imat_j + mat_i; 1345 max2 = rbuf2_i[ct1]; 1346 for (l=0; l<max2; l++,ct2++) { 1347 if ((tcol = cmap_i[rbuf3_i[ct2]])) { 1348 *mat_j++ = tcol - 1; 1349 *mat_a++ = rbuf4_i[ct2]; 1350 ilen++; 1351 } 1352 } 1353 imat_ilen[row] = ilen; 1354 } 1355 } 1356 } 1357 } 1358 ierr = PetscFree(r_status4);CHKERRQ(ierr); 1359 ierr = PetscFree(r_waits4);CHKERRQ(ierr); 1360 if (nrqr) {ierr = MPI_Waitall(nrqr,s_waits4,s_status4);CHKERRQ(ierr);} 1361 ierr = PetscFree(s_waits4);CHKERRQ(ierr); 1362 ierr = PetscFree(s_status4);CHKERRQ(ierr); 1363 1364 /* Restore the indices */ 1365 for (i=0; i<ismax; i++) { 1366 ierr = ISRestoreIndices(isrow[i],irow+i);CHKERRQ(ierr); 1367 ierr = ISRestoreIndices(iscol[i],icol+i);CHKERRQ(ierr); 1368 } 1369 1370 /* Destroy allocated memory */ 1371 ierr = PetscFree(irow);CHKERRQ(ierr); 1372 ierr = PetscFree(w1);CHKERRQ(ierr); 1373 ierr = PetscFree(pa);CHKERRQ(ierr); 1374 1375 ierr = PetscFree(sbuf1);CHKERRQ(ierr); 1376 ierr = PetscFree(rbuf2);CHKERRQ(ierr); 1377 for (i=0; i<nrqr; ++i) { 1378 ierr = PetscFree(sbuf2[i]);CHKERRQ(ierr); 1379 } 1380 for (i=0; i<nrqs; ++i) { 1381 ierr = PetscFree(rbuf3[i]);CHKERRQ(ierr); 1382 ierr = PetscFree(rbuf4[i]);CHKERRQ(ierr); 1383 } 1384 1385 ierr = PetscFree(sbuf2);CHKERRQ(ierr); 1386 ierr = PetscFree(rbuf3);CHKERRQ(ierr); 1387 ierr = PetscFree(rbuf4);CHKERRQ(ierr); 1388 ierr = PetscFree(sbuf_aj[0]);CHKERRQ(ierr); 1389 ierr = PetscFree(sbuf_aj);CHKERRQ(ierr); 1390 ierr = PetscFree(sbuf_aa[0]);CHKERRQ(ierr); 1391 ierr = PetscFree(sbuf_aa);CHKERRQ(ierr); 1392 1393 ierr = PetscFree(cmap);CHKERRQ(ierr); 1394 ierr = PetscFree(rmap);CHKERRQ(ierr); 1395 ierr = PetscFree(lens);CHKERRQ(ierr); 1396 1397 for (i=0; i<ismax; i++) { 1398 ierr = MatAssemblyBegin(submats[i],MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1399 ierr = MatAssemblyEnd(submats[i],MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1400 } 1401 PetscFunctionReturn(0); 1402 } 1403 1404