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 #if defined(PETSC_HAVE_MPI_IN_PLACE) 592 ierr = MPI_Allgatherv(MPI_IN_PLACE,0,MPI_DATATYPE_NULL,lens,recvcounts,displs,MPIU_INT,((PetscObject)A)->comm);CHKERRQ(ierr); 593 #else 594 ierr = MPI_Allgatherv(lens+A->rmap->rstart,sendcount,MPIU_INT,lens,recvcounts,displs,MPIU_INT,((PetscObject)A)->comm);CHKERRQ(ierr); 595 596 #endif 597 /* --------------------------------------------------------------- 598 Create the sequential matrix of the same type as the local block diagonal 599 */ 600 ierr = MatCreate(PETSC_COMM_SELF,&B);CHKERRQ(ierr); 601 ierr = MatSetSizes(B,A->rmap->N,A->cmap->N,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); 602 ierr = MatSetType(B,((PetscObject)a->A)->type_name);CHKERRQ(ierr); 603 ierr = MatSeqAIJSetPreallocation(B,0,lens);CHKERRQ(ierr); 604 ierr = PetscMalloc(sizeof(Mat),Bin);CHKERRQ(ierr); 605 **Bin = B; 606 b = (Mat_SeqAIJ *)B->data; 607 608 /*-------------------------------------------------------------------- 609 Copy my part of matrix column indices over 610 */ 611 sendcount = ad->nz + bd->nz; 612 jsendbuf = b->j + b->i[rstarts[rank]]; 613 a_jsendbuf = ad->j; 614 b_jsendbuf = bd->j; 615 n = A->rmap->rend - A->rmap->rstart; 616 cnt = 0; 617 for (i=0; i<n; i++) { 618 619 /* put in lower diagonal portion */ 620 m = bd->i[i+1] - bd->i[i]; 621 while (m > 0) { 622 /* is it above diagonal (in bd (compressed) numbering) */ 623 if (garray[*b_jsendbuf] > A->rmap->rstart + i) break; 624 jsendbuf[cnt++] = garray[*b_jsendbuf++]; 625 m--; 626 } 627 628 /* put in diagonal portion */ 629 for (j=ad->i[i]; j<ad->i[i+1]; j++) { 630 jsendbuf[cnt++] = A->rmap->rstart + *a_jsendbuf++; 631 } 632 633 /* put in upper diagonal portion */ 634 while (m-- > 0) { 635 jsendbuf[cnt++] = garray[*b_jsendbuf++]; 636 } 637 } 638 if (cnt != sendcount) SETERRQ2(PETSC_ERR_PLIB,"Corrupted PETSc matrix: nz given %D actual nz %D",sendcount,cnt); 639 640 /*-------------------------------------------------------------------- 641 Gather all column indices to all processors 642 */ 643 for (i=0; i<size; i++) { 644 recvcounts[i] = 0; 645 for (j=A->rmap->range[i]; j<A->rmap->range[i+1]; j++) { 646 recvcounts[i] += lens[j]; 647 } 648 } 649 displs[0] = 0; 650 for (i=1; i<size; i++) { 651 displs[i] = displs[i-1] + recvcounts[i-1]; 652 } 653 #if defined(PETSC_HAVE_MPI_IN_PLACE) 654 ierr = MPI_Allgatherv(MPI_IN_PLACE,0,MPI_DATATYPE_NULL,b->j,recvcounts,displs,MPIU_INT,((PetscObject)A)->comm);CHKERRQ(ierr); 655 #else 656 ierr = MPI_Allgatherv(jsendbuf,sendcount,MPIU_INT,b->j,recvcounts,displs,MPIU_INT,((PetscObject)A)->comm);CHKERRQ(ierr); 657 #endif 658 /*-------------------------------------------------------------------- 659 Assemble the matrix into useable form (note numerical values not yet set) 660 */ 661 /* set the b->ilen (length of each row) values */ 662 ierr = PetscMemcpy(b->ilen,lens,A->rmap->N*sizeof(PetscInt));CHKERRQ(ierr); 663 /* set the b->i indices */ 664 b->i[0] = 0; 665 for (i=1; i<=A->rmap->N; i++) { 666 b->i[i] = b->i[i-1] + lens[i-1]; 667 } 668 ierr = PetscFree(lens);CHKERRQ(ierr); 669 ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 670 ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 671 672 } else { 673 B = **Bin; 674 b = (Mat_SeqAIJ *)B->data; 675 } 676 677 /*-------------------------------------------------------------------- 678 Copy my part of matrix numerical values into the values location 679 */ 680 if (flag == MAT_GET_VALUES){ 681 sendcount = ad->nz + bd->nz; 682 sendbuf = b->a + b->i[rstarts[rank]]; 683 a_sendbuf = ad->a; 684 b_sendbuf = bd->a; 685 b_sendj = bd->j; 686 n = A->rmap->rend - A->rmap->rstart; 687 cnt = 0; 688 for (i=0; i<n; i++) { 689 690 /* put in lower diagonal portion */ 691 m = bd->i[i+1] - bd->i[i]; 692 while (m > 0) { 693 /* is it above diagonal (in bd (compressed) numbering) */ 694 if (garray[*b_sendj] > A->rmap->rstart + i) break; 695 sendbuf[cnt++] = *b_sendbuf++; 696 m--; 697 b_sendj++; 698 } 699 700 /* put in diagonal portion */ 701 for (j=ad->i[i]; j<ad->i[i+1]; j++) { 702 sendbuf[cnt++] = *a_sendbuf++; 703 } 704 705 /* put in upper diagonal portion */ 706 while (m-- > 0) { 707 sendbuf[cnt++] = *b_sendbuf++; 708 b_sendj++; 709 } 710 } 711 if (cnt != sendcount) SETERRQ2(PETSC_ERR_PLIB,"Corrupted PETSc matrix: nz given %D actual nz %D",sendcount,cnt); 712 713 /* ----------------------------------------------------------------- 714 Gather all numerical values to all processors 715 */ 716 if (!recvcounts) { 717 ierr = PetscMalloc(2*size*sizeof(PetscInt),&recvcounts);CHKERRQ(ierr); 718 displs = recvcounts + size; 719 } 720 for (i=0; i<size; i++) { 721 recvcounts[i] = b->i[rstarts[i+1]] - b->i[rstarts[i]]; 722 } 723 displs[0] = 0; 724 for (i=1; i<size; i++) { 725 displs[i] = displs[i-1] + recvcounts[i-1]; 726 } 727 recvbuf = b->a; 728 #if defined(PETSC_HAVE_MPI_IN_PLACE) 729 ierr = MPI_Allgatherv(MPI_IN_PLACE,0,MPI_DATATYPE_NULL,recvbuf,recvcounts,displs,MPIU_SCALAR,((PetscObject)A)->comm);CHKERRQ(ierr); 730 #else 731 ierr = MPI_Allgatherv(sendbuf,sendcount,MPIU_SCALAR,recvbuf,recvcounts,displs,MPIU_SCALAR,((PetscObject)A)->comm);CHKERRQ(ierr); 732 #endif 733 } /* endof (flag == MAT_GET_VALUES) */ 734 ierr = PetscFree(recvcounts);CHKERRQ(ierr); 735 736 if (A->symmetric){ 737 ierr = MatSetOption(B,MAT_SYMMETRIC,PETSC_TRUE);CHKERRQ(ierr); 738 } else if (A->hermitian) { 739 ierr = MatSetOption(B,MAT_HERMITIAN,PETSC_TRUE);CHKERRQ(ierr); 740 } else if (A->structurally_symmetric) { 741 ierr = MatSetOption(B,MAT_STRUCTURALLY_SYMMETRIC,PETSC_TRUE);CHKERRQ(ierr); 742 } 743 PetscFunctionReturn(0); 744 } 745 746 #undef __FUNCT__ 747 #define __FUNCT__ "MatGetSubMatrices_MPIAIJ" 748 PetscErrorCode MatGetSubMatrices_MPIAIJ(Mat C,PetscInt ismax,const IS isrow[],const IS iscol[],MatReuse scall,Mat *submat[]) 749 { 750 PetscErrorCode ierr; 751 PetscInt nmax,nstages_local,nstages,i,pos,max_no,nrow,ncol; 752 PetscTruth rowflag,colflag,wantallmatrix = PETSC_FALSE,twantallmatrix; 753 754 PetscFunctionBegin; 755 /* 756 Check for special case each processor gets entire matrix 757 */ 758 if (ismax == 1 && C->rmap->N == C->cmap->N) { 759 ierr = ISIdentity(*isrow,&rowflag);CHKERRQ(ierr); 760 ierr = ISIdentity(*iscol,&colflag);CHKERRQ(ierr); 761 ierr = ISGetLocalSize(*isrow,&nrow);CHKERRQ(ierr); 762 ierr = ISGetLocalSize(*iscol,&ncol);CHKERRQ(ierr); 763 if (rowflag && colflag && nrow == C->rmap->N && ncol == C->cmap->N) { 764 wantallmatrix = PETSC_TRUE; 765 ierr = PetscOptionsGetTruth(((PetscObject)C)->prefix,"-use_fast_submatrix",&wantallmatrix,PETSC_NULL);CHKERRQ(ierr); 766 } 767 } 768 ierr = MPI_Allreduce(&wantallmatrix,&twantallmatrix,1,MPI_INT,MPI_MIN,((PetscObject)C)->comm);CHKERRQ(ierr); 769 if (twantallmatrix) { 770 ierr = MatGetSubMatrix_MPIAIJ_All(C,MAT_GET_VALUES,scall,submat);CHKERRQ(ierr); 771 PetscFunctionReturn(0); 772 } 773 774 /* Allocate memory to hold all the submatrices */ 775 if (scall != MAT_REUSE_MATRIX) { 776 ierr = PetscMalloc((ismax+1)*sizeof(Mat),submat);CHKERRQ(ierr); 777 } 778 /* Determine the number of stages through which submatrices are done */ 779 nmax = 20*1000000 / (C->cmap->N * sizeof(PetscInt)); 780 if (!nmax) nmax = 1; 781 nstages_local = ismax/nmax + ((ismax % nmax)?1:0); 782 783 /* Make sure every processor loops through the nstages */ 784 ierr = MPI_Allreduce(&nstages_local,&nstages,1,MPIU_INT,MPI_MAX,((PetscObject)C)->comm);CHKERRQ(ierr); 785 786 for (i=0,pos=0; i<nstages; i++) { 787 if (pos+nmax <= ismax) max_no = nmax; 788 else if (pos == ismax) max_no = 0; 789 else max_no = ismax-pos; 790 ierr = MatGetSubMatrices_MPIAIJ_Local(C,max_no,isrow+pos,iscol+pos,scall,*submat+pos);CHKERRQ(ierr); 791 pos += max_no; 792 } 793 PetscFunctionReturn(0); 794 } 795 /* -------------------------------------------------------------------------*/ 796 #undef __FUNCT__ 797 #define __FUNCT__ "MatGetSubMatrices_MPIAIJ_Local" 798 PetscErrorCode MatGetSubMatrices_MPIAIJ_Local(Mat C,PetscInt ismax,const IS isrow[],const IS iscol[],MatReuse scall,Mat *submats) 799 { 800 Mat_MPIAIJ *c = (Mat_MPIAIJ*)C->data; 801 Mat A = c->A; 802 Mat_SeqAIJ *a = (Mat_SeqAIJ*)A->data,*b = (Mat_SeqAIJ*)c->B->data,*mat; 803 const PetscInt **icol,**irow; 804 PetscInt *nrow,*ncol,start; 805 PetscErrorCode ierr; 806 PetscMPIInt rank,size,tag0,tag1,tag2,tag3,*w1,*w2,*w3,*w4,nrqr; 807 PetscInt **sbuf1,**sbuf2,i,j,k,l,ct1,ct2,**rbuf1,row,proc; 808 PetscInt nrqs,msz,**ptr,*req_size,*ctr,*pa,*tmp,tcol; 809 PetscInt **rbuf3,*req_source,**sbuf_aj,**rbuf2,max1,max2,**rmap; 810 PetscInt **cmap,**lens,is_no,ncols,*cols,mat_i,*mat_j,tmp2,jmax; 811 const PetscInt *irow_i; 812 PetscInt len,ctr_j,*sbuf1_j,*sbuf_aj_i,*rbuf1_i,kmax,*cmap_i,*lens_i; 813 PetscInt *rmap_i; 814 MPI_Request *s_waits1,*r_waits1,*s_waits2,*r_waits2,*r_waits3; 815 MPI_Request *r_waits4,*s_waits3,*s_waits4; 816 MPI_Status *r_status1,*r_status2,*s_status1,*s_status3,*s_status2; 817 MPI_Status *r_status3,*r_status4,*s_status4; 818 MPI_Comm comm; 819 PetscScalar **rbuf4,**sbuf_aa,*vals,*mat_a,*sbuf_aa_i; 820 PetscTruth sorted; 821 PetscMPIInt *onodes1,*olengths1; 822 PetscMPIInt idex,idex2,end; 823 824 PetscFunctionBegin; 825 comm = ((PetscObject)C)->comm; 826 tag0 = ((PetscObject)C)->tag; 827 size = c->size; 828 rank = c->rank; 829 830 /* Get some new tags to keep the communication clean */ 831 ierr = PetscObjectGetNewTag((PetscObject)C,&tag1);CHKERRQ(ierr); 832 ierr = PetscObjectGetNewTag((PetscObject)C,&tag2);CHKERRQ(ierr); 833 ierr = PetscObjectGetNewTag((PetscObject)C,&tag3);CHKERRQ(ierr); 834 835 /* Check if the col indices are sorted */ 836 for (i=0; i<ismax; i++) { 837 ierr = ISSorted(isrow[i],&sorted);CHKERRQ(ierr); 838 /*if (!sorted) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"isrow is not sorted");*/ 839 ierr = ISSorted(iscol[i],&sorted);CHKERRQ(ierr); 840 /* if (!sorted) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"iscol is not sorted"); */ 841 } 842 843 len = (2*ismax+1)*(sizeof(PetscInt*)+ sizeof(PetscInt)); 844 ierr = PetscMalloc(len,&irow);CHKERRQ(ierr); 845 icol = irow + ismax; 846 nrow = (PetscInt*)(icol + ismax); 847 ncol = nrow + ismax; 848 849 for (i=0; i<ismax; i++) { 850 ierr = ISGetIndices(isrow[i],&irow[i]);CHKERRQ(ierr); 851 ierr = ISGetIndices(iscol[i],&icol[i]);CHKERRQ(ierr); 852 ierr = ISGetLocalSize(isrow[i],&nrow[i]);CHKERRQ(ierr); 853 ierr = ISGetLocalSize(iscol[i],&ncol[i]);CHKERRQ(ierr); 854 } 855 856 /* evaluate communication - mesg to who, length of mesg, and buffer space 857 required. Based on this, buffers are allocated, and data copied into them*/ 858 ierr = PetscMalloc(size*4*sizeof(PetscMPIInt),&w1);CHKERRQ(ierr); /* mesg size */ 859 w2 = w1 + size; /* if w2[i] marked, then a message to proc i*/ 860 w3 = w2 + size; /* no of IS that needs to be sent to proc i */ 861 w4 = w3 + size; /* temp work space used in determining w1, w2, w3 */ 862 ierr = PetscMemzero(w1,size*3*sizeof(PetscMPIInt));CHKERRQ(ierr); /* initialize work vector*/ 863 for (i=0; i<ismax; i++) { 864 ierr = PetscMemzero(w4,size*sizeof(PetscMPIInt));CHKERRQ(ierr); /* initialize work vector*/ 865 jmax = nrow[i]; 866 irow_i = irow[i]; 867 for (j=0; j<jmax; j++) { 868 l = 0; 869 row = irow_i[j]; 870 while (row >= C->rmap->range[l+1]) l++; 871 proc = l; 872 w4[proc]++; 873 } 874 for (j=0; j<size; j++) { 875 if (w4[j]) { w1[j] += w4[j]; w3[j]++;} 876 } 877 } 878 879 nrqs = 0; /* no of outgoing messages */ 880 msz = 0; /* total mesg length (for all procs) */ 881 w1[rank] = 0; /* no mesg sent to self */ 882 w3[rank] = 0; 883 for (i=0; i<size; i++) { 884 if (w1[i]) { w2[i] = 1; nrqs++;} /* there exists a message to proc i */ 885 } 886 ierr = PetscMalloc((nrqs+1)*sizeof(PetscInt),&pa);CHKERRQ(ierr); /*(proc -array)*/ 887 for (i=0,j=0; i<size; i++) { 888 if (w1[i]) { pa[j] = i; j++; } 889 } 890 891 /* Each message would have a header = 1 + 2*(no of IS) + data */ 892 for (i=0; i<nrqs; i++) { 893 j = pa[i]; 894 w1[j] += w2[j] + 2* w3[j]; 895 msz += w1[j]; 896 } 897 898 /* Determine the number of messages to expect, their lengths, from from-ids */ 899 ierr = PetscGatherNumberOfMessages(comm,w2,w1,&nrqr);CHKERRQ(ierr); 900 ierr = PetscGatherMessageLengths(comm,nrqs,nrqr,w1,&onodes1,&olengths1);CHKERRQ(ierr); 901 902 /* Now post the Irecvs corresponding to these messages */ 903 ierr = PetscPostIrecvInt(comm,tag0,nrqr,onodes1,olengths1,&rbuf1,&r_waits1);CHKERRQ(ierr); 904 905 ierr = PetscFree(onodes1);CHKERRQ(ierr); 906 ierr = PetscFree(olengths1);CHKERRQ(ierr); 907 908 /* Allocate Memory for outgoing messages */ 909 len = 2*size*sizeof(PetscInt*) + 2*msz*sizeof(PetscInt) + size*sizeof(PetscInt); 910 ierr = PetscMalloc(len,&sbuf1);CHKERRQ(ierr); 911 ptr = sbuf1 + size; /* Pointers to the data in outgoing buffers */ 912 ierr = PetscMemzero(sbuf1,2*size*sizeof(PetscInt*));CHKERRQ(ierr); 913 /* allocate memory for outgoing data + buf to receive the first reply */ 914 tmp = (PetscInt*)(ptr + size); 915 ctr = tmp + 2*msz; 916 917 { 918 PetscInt *iptr = tmp,ict = 0; 919 for (i=0; i<nrqs; i++) { 920 j = pa[i]; 921 iptr += ict; 922 sbuf1[j] = iptr; 923 ict = w1[j]; 924 } 925 } 926 927 /* Form the outgoing messages */ 928 /* Initialize the header space */ 929 for (i=0; i<nrqs; i++) { 930 j = pa[i]; 931 sbuf1[j][0] = 0; 932 ierr = PetscMemzero(sbuf1[j]+1,2*w3[j]*sizeof(PetscInt));CHKERRQ(ierr); 933 ptr[j] = sbuf1[j] + 2*w3[j] + 1; 934 } 935 936 /* Parse the isrow and copy data into outbuf */ 937 for (i=0; i<ismax; i++) { 938 ierr = PetscMemzero(ctr,size*sizeof(PetscInt));CHKERRQ(ierr); 939 irow_i = irow[i]; 940 jmax = nrow[i]; 941 for (j=0; j<jmax; j++) { /* parse the indices of each IS */ 942 l = 0; 943 row = irow_i[j]; 944 while (row >= C->rmap->range[l+1]) l++; 945 proc = l; 946 if (proc != rank) { /* copy to the outgoing buf*/ 947 ctr[proc]++; 948 *ptr[proc] = row; 949 ptr[proc]++; 950 } 951 } 952 /* Update the headers for the current IS */ 953 for (j=0; j<size; j++) { /* Can Optimise this loop too */ 954 if ((ctr_j = ctr[j])) { 955 sbuf1_j = sbuf1[j]; 956 k = ++sbuf1_j[0]; 957 sbuf1_j[2*k] = ctr_j; 958 sbuf1_j[2*k-1] = i; 959 } 960 } 961 } 962 963 /* Now post the sends */ 964 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Request),&s_waits1);CHKERRQ(ierr); 965 for (i=0; i<nrqs; ++i) { 966 j = pa[i]; 967 ierr = MPI_Isend(sbuf1[j],w1[j],MPIU_INT,j,tag0,comm,s_waits1+i);CHKERRQ(ierr); 968 } 969 970 /* Post Receives to capture the buffer size */ 971 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Request),&r_waits2);CHKERRQ(ierr); 972 ierr = PetscMalloc((nrqs+1)*sizeof(PetscInt*),&rbuf2);CHKERRQ(ierr); 973 rbuf2[0] = tmp + msz; 974 for (i=1; i<nrqs; ++i) { 975 rbuf2[i] = rbuf2[i-1]+w1[pa[i-1]]; 976 } 977 for (i=0; i<nrqs; ++i) { 978 j = pa[i]; 979 ierr = MPI_Irecv(rbuf2[i],w1[j],MPIU_INT,j,tag1,comm,r_waits2+i);CHKERRQ(ierr); 980 } 981 982 /* Send to other procs the buf size they should allocate */ 983 984 985 /* Receive messages*/ 986 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Request),&s_waits2);CHKERRQ(ierr); 987 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Status),&r_status1);CHKERRQ(ierr); 988 len = 2*nrqr*sizeof(PetscInt) + (nrqr+1)*sizeof(PetscInt*); 989 ierr = PetscMalloc(len,&sbuf2);CHKERRQ(ierr); 990 req_size = (PetscInt*)(sbuf2 + nrqr); 991 req_source = req_size + nrqr; 992 993 { 994 Mat_SeqAIJ *sA = (Mat_SeqAIJ*)c->A->data,*sB = (Mat_SeqAIJ*)c->B->data; 995 PetscInt *sAi = sA->i,*sBi = sB->i,id,rstart = C->rmap->rstart; 996 PetscInt *sbuf2_i; 997 998 for (i=0; i<nrqr; ++i) { 999 ierr = MPI_Waitany(nrqr,r_waits1,&idex,r_status1+i);CHKERRQ(ierr); 1000 req_size[idex] = 0; 1001 rbuf1_i = rbuf1[idex]; 1002 start = 2*rbuf1_i[0] + 1; 1003 ierr = MPI_Get_count(r_status1+i,MPIU_INT,&end);CHKERRQ(ierr); 1004 ierr = PetscMalloc((end+1)*sizeof(PetscInt),&sbuf2[idex]);CHKERRQ(ierr); 1005 sbuf2_i = sbuf2[idex]; 1006 for (j=start; j<end; j++) { 1007 id = rbuf1_i[j] - rstart; 1008 ncols = sAi[id+1] - sAi[id] + sBi[id+1] - sBi[id]; 1009 sbuf2_i[j] = ncols; 1010 req_size[idex] += ncols; 1011 } 1012 req_source[idex] = r_status1[i].MPI_SOURCE; 1013 /* form the header */ 1014 sbuf2_i[0] = req_size[idex]; 1015 for (j=1; j<start; j++) { sbuf2_i[j] = rbuf1_i[j]; } 1016 ierr = MPI_Isend(sbuf2_i,end,MPIU_INT,req_source[idex],tag1,comm,s_waits2+i);CHKERRQ(ierr); 1017 } 1018 } 1019 ierr = PetscFree(r_status1);CHKERRQ(ierr); 1020 ierr = PetscFree(r_waits1);CHKERRQ(ierr); 1021 1022 /* recv buffer sizes */ 1023 /* Receive messages*/ 1024 1025 ierr = PetscMalloc((nrqs+1)*sizeof(PetscInt*),&rbuf3);CHKERRQ(ierr); 1026 ierr = PetscMalloc((nrqs+1)*sizeof(PetscScalar*),&rbuf4);CHKERRQ(ierr); 1027 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Request),&r_waits3);CHKERRQ(ierr); 1028 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Request),&r_waits4);CHKERRQ(ierr); 1029 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Status),&r_status2);CHKERRQ(ierr); 1030 1031 for (i=0; i<nrqs; ++i) { 1032 ierr = MPI_Waitany(nrqs,r_waits2,&idex,r_status2+i);CHKERRQ(ierr); 1033 ierr = PetscMalloc((rbuf2[idex][0]+1)*sizeof(PetscInt),&rbuf3[idex]);CHKERRQ(ierr); 1034 ierr = PetscMalloc((rbuf2[idex][0]+1)*sizeof(PetscScalar),&rbuf4[idex]);CHKERRQ(ierr); 1035 ierr = MPI_Irecv(rbuf3[idex],rbuf2[idex][0],MPIU_INT,r_status2[i].MPI_SOURCE,tag2,comm,r_waits3+idex);CHKERRQ(ierr); 1036 ierr = MPI_Irecv(rbuf4[idex],rbuf2[idex][0],MPIU_SCALAR,r_status2[i].MPI_SOURCE,tag3,comm,r_waits4+idex);CHKERRQ(ierr); 1037 } 1038 ierr = PetscFree(r_status2);CHKERRQ(ierr); 1039 ierr = PetscFree(r_waits2);CHKERRQ(ierr); 1040 1041 /* Wait on sends1 and sends2 */ 1042 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Status),&s_status1);CHKERRQ(ierr); 1043 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Status),&s_status2);CHKERRQ(ierr); 1044 1045 if (nrqs) {ierr = MPI_Waitall(nrqs,s_waits1,s_status1);CHKERRQ(ierr);} 1046 if (nrqr) {ierr = MPI_Waitall(nrqr,s_waits2,s_status2);CHKERRQ(ierr);} 1047 ierr = PetscFree(s_status1);CHKERRQ(ierr); 1048 ierr = PetscFree(s_status2);CHKERRQ(ierr); 1049 ierr = PetscFree(s_waits1);CHKERRQ(ierr); 1050 ierr = PetscFree(s_waits2);CHKERRQ(ierr); 1051 1052 /* Now allocate buffers for a->j, and send them off */ 1053 ierr = PetscMalloc((nrqr+1)*sizeof(PetscInt*),&sbuf_aj);CHKERRQ(ierr); 1054 for (i=0,j=0; i<nrqr; i++) j += req_size[i]; 1055 ierr = PetscMalloc((j+1)*sizeof(PetscInt),&sbuf_aj[0]);CHKERRQ(ierr); 1056 for (i=1; i<nrqr; i++) sbuf_aj[i] = sbuf_aj[i-1] + req_size[i-1]; 1057 1058 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Request),&s_waits3);CHKERRQ(ierr); 1059 { 1060 PetscInt nzA,nzB,*a_i = a->i,*b_i = b->i,lwrite; 1061 PetscInt *cworkA,*cworkB,cstart = C->cmap->rstart,rstart = C->rmap->rstart,*bmap = c->garray; 1062 PetscInt cend = C->cmap->rend; 1063 PetscInt *a_j = a->j,*b_j = b->j,ctmp; 1064 1065 for (i=0; i<nrqr; i++) { 1066 rbuf1_i = rbuf1[i]; 1067 sbuf_aj_i = sbuf_aj[i]; 1068 ct1 = 2*rbuf1_i[0] + 1; 1069 ct2 = 0; 1070 for (j=1,max1=rbuf1_i[0]; j<=max1; j++) { 1071 kmax = rbuf1[i][2*j]; 1072 for (k=0; k<kmax; k++,ct1++) { 1073 row = rbuf1_i[ct1] - rstart; 1074 nzA = a_i[row+1] - a_i[row]; nzB = b_i[row+1] - b_i[row]; 1075 ncols = nzA + nzB; 1076 cworkA = a_j + a_i[row]; cworkB = b_j + b_i[row]; 1077 1078 /* load the column indices for this row into cols*/ 1079 cols = sbuf_aj_i + ct2; 1080 1081 lwrite = 0; 1082 for (l=0; l<nzB; l++) { 1083 if ((ctmp = bmap[cworkB[l]]) < cstart) cols[lwrite++] = ctmp; 1084 } 1085 for (l=0; l<nzA; l++) cols[lwrite++] = cstart + cworkA[l]; 1086 for (l=0; l<nzB; l++) { 1087 if ((ctmp = bmap[cworkB[l]]) >= cend) cols[lwrite++] = ctmp; 1088 } 1089 1090 ct2 += ncols; 1091 } 1092 } 1093 ierr = MPI_Isend(sbuf_aj_i,req_size[i],MPIU_INT,req_source[i],tag2,comm,s_waits3+i);CHKERRQ(ierr); 1094 } 1095 } 1096 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Status),&r_status3);CHKERRQ(ierr); 1097 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Status),&s_status3);CHKERRQ(ierr); 1098 1099 /* Allocate buffers for a->a, and send them off */ 1100 ierr = PetscMalloc((nrqr+1)*sizeof(PetscScalar*),&sbuf_aa);CHKERRQ(ierr); 1101 for (i=0,j=0; i<nrqr; i++) j += req_size[i]; 1102 ierr = PetscMalloc((j+1)*sizeof(PetscScalar),&sbuf_aa[0]);CHKERRQ(ierr); 1103 for (i=1; i<nrqr; i++) sbuf_aa[i] = sbuf_aa[i-1] + req_size[i-1]; 1104 1105 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Request),&s_waits4);CHKERRQ(ierr); 1106 { 1107 PetscInt nzA,nzB,*a_i = a->i,*b_i = b->i, *cworkB,lwrite; 1108 PetscInt cstart = C->cmap->rstart,rstart = C->rmap->rstart,*bmap = c->garray; 1109 PetscInt cend = C->cmap->rend; 1110 PetscInt *b_j = b->j; 1111 PetscScalar *vworkA,*vworkB,*a_a = a->a,*b_a = b->a; 1112 1113 for (i=0; i<nrqr; i++) { 1114 rbuf1_i = rbuf1[i]; 1115 sbuf_aa_i = sbuf_aa[i]; 1116 ct1 = 2*rbuf1_i[0]+1; 1117 ct2 = 0; 1118 for (j=1,max1=rbuf1_i[0]; j<=max1; j++) { 1119 kmax = rbuf1_i[2*j]; 1120 for (k=0; k<kmax; k++,ct1++) { 1121 row = rbuf1_i[ct1] - rstart; 1122 nzA = a_i[row+1] - a_i[row]; nzB = b_i[row+1] - b_i[row]; 1123 ncols = nzA + nzB; 1124 cworkB = b_j + b_i[row]; 1125 vworkA = a_a + a_i[row]; 1126 vworkB = b_a + b_i[row]; 1127 1128 /* load the column values for this row into vals*/ 1129 vals = sbuf_aa_i+ct2; 1130 1131 lwrite = 0; 1132 for (l=0; l<nzB; l++) { 1133 if ((bmap[cworkB[l]]) < cstart) vals[lwrite++] = vworkB[l]; 1134 } 1135 for (l=0; l<nzA; l++) vals[lwrite++] = vworkA[l]; 1136 for (l=0; l<nzB; l++) { 1137 if ((bmap[cworkB[l]]) >= cend) vals[lwrite++] = vworkB[l]; 1138 } 1139 1140 ct2 += ncols; 1141 } 1142 } 1143 ierr = MPI_Isend(sbuf_aa_i,req_size[i],MPIU_SCALAR,req_source[i],tag3,comm,s_waits4+i);CHKERRQ(ierr); 1144 } 1145 } 1146 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Status),&r_status4);CHKERRQ(ierr); 1147 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Status),&s_status4);CHKERRQ(ierr); 1148 ierr = PetscFree(rbuf1);CHKERRQ(ierr); 1149 1150 /* Form the matrix */ 1151 /* create col map */ 1152 { 1153 const PetscInt *icol_i; 1154 1155 len = (1+ismax)*sizeof(PetscInt*)+ (1+ismax*C->cmap->N)*sizeof(PetscInt); 1156 ierr = PetscMalloc(len,&cmap);CHKERRQ(ierr); 1157 cmap[0] = (PetscInt*)(cmap + ismax); 1158 ierr = PetscMemzero(cmap[0],(1+ismax*C->cmap->N)*sizeof(PetscInt));CHKERRQ(ierr); 1159 for (i=1; i<ismax; i++) { cmap[i] = cmap[i-1] + C->cmap->N; } 1160 for (i=0; i<ismax; i++) { 1161 jmax = ncol[i]; 1162 icol_i = icol[i]; 1163 cmap_i = cmap[i]; 1164 for (j=0; j<jmax; j++) { 1165 cmap_i[icol_i[j]] = j+1; 1166 } 1167 } 1168 } 1169 1170 /* Create lens which is required for MatCreate... */ 1171 for (i=0,j=0; i<ismax; i++) { j += nrow[i]; } 1172 len = (1+ismax)*sizeof(PetscInt*)+ j*sizeof(PetscInt); 1173 ierr = PetscMalloc(len,&lens);CHKERRQ(ierr); 1174 lens[0] = (PetscInt*)(lens + ismax); 1175 ierr = PetscMemzero(lens[0],j*sizeof(PetscInt));CHKERRQ(ierr); 1176 for (i=1; i<ismax; i++) { lens[i] = lens[i-1] + nrow[i-1]; } 1177 1178 /* Update lens from local data */ 1179 for (i=0; i<ismax; i++) { 1180 jmax = nrow[i]; 1181 cmap_i = cmap[i]; 1182 irow_i = irow[i]; 1183 lens_i = lens[i]; 1184 for (j=0; j<jmax; j++) { 1185 l = 0; 1186 row = irow_i[j]; 1187 while (row >= C->rmap->range[l+1]) l++; 1188 proc = l; 1189 if (proc == rank) { 1190 ierr = MatGetRow_MPIAIJ(C,row,&ncols,&cols,0);CHKERRQ(ierr); 1191 for (k=0; k<ncols; k++) { 1192 if (cmap_i[cols[k]]) { lens_i[j]++;} 1193 } 1194 ierr = MatRestoreRow_MPIAIJ(C,row,&ncols,&cols,0);CHKERRQ(ierr); 1195 } 1196 } 1197 } 1198 1199 /* Create row map*/ 1200 len = (1+ismax)*sizeof(PetscInt*)+ ismax*C->rmap->N*sizeof(PetscInt); 1201 ierr = PetscMalloc(len,&rmap);CHKERRQ(ierr); 1202 rmap[0] = (PetscInt*)(rmap + ismax); 1203 ierr = PetscMemzero(rmap[0],ismax*C->rmap->N*sizeof(PetscInt));CHKERRQ(ierr); 1204 for (i=1; i<ismax; i++) { rmap[i] = rmap[i-1] + C->rmap->N;} 1205 for (i=0; i<ismax; i++) { 1206 rmap_i = rmap[i]; 1207 irow_i = irow[i]; 1208 jmax = nrow[i]; 1209 for (j=0; j<jmax; j++) { 1210 rmap_i[irow_i[j]] = j; 1211 } 1212 } 1213 1214 /* Update lens from offproc data */ 1215 { 1216 PetscInt *rbuf2_i,*rbuf3_i,*sbuf1_i; 1217 1218 for (tmp2=0; tmp2<nrqs; tmp2++) { 1219 ierr = MPI_Waitany(nrqs,r_waits3,&idex2,r_status3+tmp2);CHKERRQ(ierr); 1220 idex = pa[idex2]; 1221 sbuf1_i = sbuf1[idex]; 1222 jmax = sbuf1_i[0]; 1223 ct1 = 2*jmax+1; 1224 ct2 = 0; 1225 rbuf2_i = rbuf2[idex2]; 1226 rbuf3_i = rbuf3[idex2]; 1227 for (j=1; j<=jmax; j++) { 1228 is_no = sbuf1_i[2*j-1]; 1229 max1 = sbuf1_i[2*j]; 1230 lens_i = lens[is_no]; 1231 cmap_i = cmap[is_no]; 1232 rmap_i = rmap[is_no]; 1233 for (k=0; k<max1; k++,ct1++) { 1234 row = rmap_i[sbuf1_i[ct1]]; /* the val in the new matrix to be */ 1235 max2 = rbuf2_i[ct1]; 1236 for (l=0; l<max2; l++,ct2++) { 1237 if (cmap_i[rbuf3_i[ct2]]) { 1238 lens_i[row]++; 1239 } 1240 } 1241 } 1242 } 1243 } 1244 } 1245 ierr = PetscFree(r_status3);CHKERRQ(ierr); 1246 ierr = PetscFree(r_waits3);CHKERRQ(ierr); 1247 if (nrqr) {ierr = MPI_Waitall(nrqr,s_waits3,s_status3);CHKERRQ(ierr);} 1248 ierr = PetscFree(s_status3);CHKERRQ(ierr); 1249 ierr = PetscFree(s_waits3);CHKERRQ(ierr); 1250 1251 /* Create the submatrices */ 1252 if (scall == MAT_REUSE_MATRIX) { 1253 PetscTruth flag; 1254 1255 /* 1256 Assumes new rows are same length as the old rows,hence bug! 1257 */ 1258 for (i=0; i<ismax; i++) { 1259 mat = (Mat_SeqAIJ *)(submats[i]->data); 1260 if ((submats[i]->rmap->n != nrow[i]) || (submats[i]->cmap->n != ncol[i])) { 1261 SETERRQ(PETSC_ERR_ARG_SIZ,"Cannot reuse matrix. wrong size"); 1262 } 1263 ierr = PetscMemcmp(mat->ilen,lens[i],submats[i]->rmap->n*sizeof(PetscInt),&flag);CHKERRQ(ierr); 1264 if (!flag) { 1265 SETERRQ(PETSC_ERR_ARG_SIZ,"Cannot reuse matrix. wrong no of nonzeros"); 1266 } 1267 /* Initial matrix as if empty */ 1268 ierr = PetscMemzero(mat->ilen,submats[i]->rmap->n*sizeof(PetscInt));CHKERRQ(ierr); 1269 submats[i]->factor = C->factor; 1270 } 1271 } else { 1272 for (i=0; i<ismax; i++) { 1273 ierr = MatCreate(PETSC_COMM_SELF,submats+i);CHKERRQ(ierr); 1274 ierr = MatSetSizes(submats[i],nrow[i],ncol[i],PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); 1275 ierr = MatSetType(submats[i],((PetscObject)A)->type_name);CHKERRQ(ierr); 1276 ierr = MatSeqAIJSetPreallocation(submats[i],0,lens[i]);CHKERRQ(ierr); 1277 } 1278 } 1279 1280 /* Assemble the matrices */ 1281 /* First assemble the local rows */ 1282 { 1283 PetscInt ilen_row,*imat_ilen,*imat_j,*imat_i,old_row; 1284 PetscScalar *imat_a; 1285 1286 for (i=0; i<ismax; i++) { 1287 mat = (Mat_SeqAIJ*)submats[i]->data; 1288 imat_ilen = mat->ilen; 1289 imat_j = mat->j; 1290 imat_i = mat->i; 1291 imat_a = mat->a; 1292 cmap_i = cmap[i]; 1293 rmap_i = rmap[i]; 1294 irow_i = irow[i]; 1295 jmax = nrow[i]; 1296 for (j=0; j<jmax; j++) { 1297 l = 0; 1298 row = irow_i[j]; 1299 while (row >= C->rmap->range[l+1]) l++; 1300 proc = l; 1301 if (proc == rank) { 1302 old_row = row; 1303 row = rmap_i[row]; 1304 ilen_row = imat_ilen[row]; 1305 ierr = MatGetRow_MPIAIJ(C,old_row,&ncols,&cols,&vals);CHKERRQ(ierr); 1306 mat_i = imat_i[row] ; 1307 mat_a = imat_a + mat_i; 1308 mat_j = imat_j + mat_i; 1309 for (k=0; k<ncols; k++) { 1310 if ((tcol = cmap_i[cols[k]])) { 1311 *mat_j++ = tcol - 1; 1312 *mat_a++ = vals[k]; 1313 ilen_row++; 1314 } 1315 } 1316 ierr = MatRestoreRow_MPIAIJ(C,old_row,&ncols,&cols,&vals);CHKERRQ(ierr); 1317 imat_ilen[row] = ilen_row; 1318 } 1319 } 1320 } 1321 } 1322 1323 /* Now assemble the off proc rows*/ 1324 { 1325 PetscInt *sbuf1_i,*rbuf2_i,*rbuf3_i,*imat_ilen,ilen; 1326 PetscInt *imat_j,*imat_i; 1327 PetscScalar *imat_a,*rbuf4_i; 1328 1329 for (tmp2=0; tmp2<nrqs; tmp2++) { 1330 ierr = MPI_Waitany(nrqs,r_waits4,&idex2,r_status4+tmp2);CHKERRQ(ierr); 1331 idex = pa[idex2]; 1332 sbuf1_i = sbuf1[idex]; 1333 jmax = sbuf1_i[0]; 1334 ct1 = 2*jmax + 1; 1335 ct2 = 0; 1336 rbuf2_i = rbuf2[idex2]; 1337 rbuf3_i = rbuf3[idex2]; 1338 rbuf4_i = rbuf4[idex2]; 1339 for (j=1; j<=jmax; j++) { 1340 is_no = sbuf1_i[2*j-1]; 1341 rmap_i = rmap[is_no]; 1342 cmap_i = cmap[is_no]; 1343 mat = (Mat_SeqAIJ*)submats[is_no]->data; 1344 imat_ilen = mat->ilen; 1345 imat_j = mat->j; 1346 imat_i = mat->i; 1347 imat_a = mat->a; 1348 max1 = sbuf1_i[2*j]; 1349 for (k=0; k<max1; k++,ct1++) { 1350 row = sbuf1_i[ct1]; 1351 row = rmap_i[row]; 1352 ilen = imat_ilen[row]; 1353 mat_i = imat_i[row] ; 1354 mat_a = imat_a + mat_i; 1355 mat_j = imat_j + mat_i; 1356 max2 = rbuf2_i[ct1]; 1357 for (l=0; l<max2; l++,ct2++) { 1358 if ((tcol = cmap_i[rbuf3_i[ct2]])) { 1359 *mat_j++ = tcol - 1; 1360 *mat_a++ = rbuf4_i[ct2]; 1361 ilen++; 1362 } 1363 } 1364 imat_ilen[row] = ilen; 1365 } 1366 } 1367 } 1368 } 1369 ierr = PetscFree(r_status4);CHKERRQ(ierr); 1370 ierr = PetscFree(r_waits4);CHKERRQ(ierr); 1371 if (nrqr) {ierr = MPI_Waitall(nrqr,s_waits4,s_status4);CHKERRQ(ierr);} 1372 ierr = PetscFree(s_waits4);CHKERRQ(ierr); 1373 ierr = PetscFree(s_status4);CHKERRQ(ierr); 1374 1375 /* Restore the indices */ 1376 for (i=0; i<ismax; i++) { 1377 ierr = ISRestoreIndices(isrow[i],irow+i);CHKERRQ(ierr); 1378 ierr = ISRestoreIndices(iscol[i],icol+i);CHKERRQ(ierr); 1379 } 1380 1381 /* Destroy allocated memory */ 1382 ierr = PetscFree(irow);CHKERRQ(ierr); 1383 ierr = PetscFree(w1);CHKERRQ(ierr); 1384 ierr = PetscFree(pa);CHKERRQ(ierr); 1385 1386 ierr = PetscFree(sbuf1);CHKERRQ(ierr); 1387 ierr = PetscFree(rbuf2);CHKERRQ(ierr); 1388 for (i=0; i<nrqr; ++i) { 1389 ierr = PetscFree(sbuf2[i]);CHKERRQ(ierr); 1390 } 1391 for (i=0; i<nrqs; ++i) { 1392 ierr = PetscFree(rbuf3[i]);CHKERRQ(ierr); 1393 ierr = PetscFree(rbuf4[i]);CHKERRQ(ierr); 1394 } 1395 1396 ierr = PetscFree(sbuf2);CHKERRQ(ierr); 1397 ierr = PetscFree(rbuf3);CHKERRQ(ierr); 1398 ierr = PetscFree(rbuf4);CHKERRQ(ierr); 1399 ierr = PetscFree(sbuf_aj[0]);CHKERRQ(ierr); 1400 ierr = PetscFree(sbuf_aj);CHKERRQ(ierr); 1401 ierr = PetscFree(sbuf_aa[0]);CHKERRQ(ierr); 1402 ierr = PetscFree(sbuf_aa);CHKERRQ(ierr); 1403 1404 ierr = PetscFree(cmap);CHKERRQ(ierr); 1405 ierr = PetscFree(rmap);CHKERRQ(ierr); 1406 ierr = PetscFree(lens);CHKERRQ(ierr); 1407 1408 for (i=0; i<ismax; i++) { 1409 ierr = MatAssemblyBegin(submats[i],MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1410 ierr = MatAssemblyEnd(submats[i],MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1411 } 1412 PetscFunctionReturn(0); 1413 } 1414 1415