1 /*$Id: mpiov.c,v 1.26.1.76.2.22 2001/09/07 20:09:38 bsmith Exp $*/ 2 /* 3 Routines to compute overlapping regions of a parallel MPI matrix 4 and to find submatrices that were shared across processors. 5 */ 6 #include "src/mat/impls/aij/mpi/mpiaij.h" 7 #include "petscbt.h" 8 9 static int MatIncreaseOverlap_MPIAIJ_Once(Mat,int,IS *); 10 static int MatIncreaseOverlap_MPIAIJ_Local(Mat,int,char **,int*,int**); 11 static int MatIncreaseOverlap_MPIAIJ_Receive(Mat,int,int **,int**,int*); 12 EXTERN int MatGetRow_MPIAIJ(Mat,int,int*,int**,PetscScalar**); 13 EXTERN int MatRestoreRow_MPIAIJ(Mat,int,int*,int**,PetscScalar**); 14 15 #undef __FUNCT__ 16 #define __FUNCT__ "MatIncreaseOverlap_MPIAIJ" 17 int MatIncreaseOverlap_MPIAIJ(Mat C,int imax,IS *is,int ov) 18 { 19 int i,ierr; 20 21 PetscFunctionBegin; 22 if (ov < 0) SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,"Negative overlap specified"); 23 for (i=0; i<ov; ++i) { 24 ierr = MatIncreaseOverlap_MPIAIJ_Once(C,imax,is);CHKERRQ(ierr); 25 } 26 PetscFunctionReturn(0); 27 } 28 29 /* 30 Sample message format: 31 If a processor A wants processor B to process some elements corresponding 32 to index sets is[1],is[5] 33 mesg [0] = 2 (no of index sets in the mesg) 34 ----------- 35 mesg [1] = 1 => is[1] 36 mesg [2] = sizeof(is[1]); 37 ----------- 38 mesg [3] = 5 => is[5] 39 mesg [4] = sizeof(is[5]); 40 ----------- 41 mesg [5] 42 mesg [n] datas[1] 43 ----------- 44 mesg[n+1] 45 mesg[m] data(is[5]) 46 ----------- 47 48 Notes: 49 nrqs - no of requests sent (or to be sent out) 50 nrqr - no of requests recieved (which have to be or which have been processed 51 */ 52 #undef __FUNCT__ 53 #define __FUNCT__ "MatIncreaseOverlap_MPIAIJ_Once" 54 static int MatIncreaseOverlap_MPIAIJ_Once(Mat C,int imax,IS *is) 55 { 56 Mat_MPIAIJ *c = (Mat_MPIAIJ*)C->data; 57 int **idx,*n,*w1,*w2,*w3,*w4,*rtable,**data,len,*idx_i; 58 int size,rank,m,i,j,k,ierr,**rbuf,row,proc,nrqs,msz,**outdat,**ptr; 59 int *ctr,*pa,*tmp,nrqr,*isz,*isz1,**xdata,**rbuf2; 60 int *onodes1,*olengths1,tag1,tag2,*onodes2,*olengths2; 61 PetscBT *table; 62 MPI_Comm comm; 63 MPI_Request *s_waits1,*r_waits1,*s_waits2,*r_waits2; 64 MPI_Status *s_status,*recv_status; 65 66 PetscFunctionBegin; 67 comm = C->comm; 68 size = c->size; 69 rank = c->rank; 70 m = C->M; 71 72 ierr = PetscObjectGetNewTag((PetscObject)C,&tag1);CHKERRQ(ierr); 73 ierr = PetscObjectGetNewTag((PetscObject)C,&tag2);CHKERRQ(ierr); 74 75 len = (imax+1)*sizeof(int*)+ (imax + m)*sizeof(int); 76 ierr = PetscMalloc(len,&idx);CHKERRQ(ierr); 77 n = (int*)(idx + imax); 78 rtable = n + imax; 79 80 for (i=0; i<imax; i++) { 81 ierr = ISGetIndices(is[i],&idx[i]);CHKERRQ(ierr); 82 ierr = ISGetLocalSize(is[i],&n[i]);CHKERRQ(ierr); 83 } 84 85 /* Create hash table for the mapping :row -> proc*/ 86 for (i=0,j=0; i<size; i++) { 87 len = c->rowners[i+1]; 88 for (; j<len; j++) { 89 rtable[j] = i; 90 } 91 } 92 93 /* evaluate communication - mesg to who,length of mesg, and buffer space 94 required. Based on this, buffers are allocated, and data copied into them*/ 95 ierr = PetscMalloc(size*4*sizeof(int),&w1);CHKERRQ(ierr);/* mesg size */ 96 w2 = w1 + size; /* if w2[i] marked, then a message to proc i*/ 97 w3 = w2 + size; /* no of IS that needs to be sent to proc i */ 98 w4 = w3 + size; /* temp work space used in determining w1, w2, w3 */ 99 ierr = PetscMemzero(w1,size*3*sizeof(int));CHKERRQ(ierr); /* initialise work vector*/ 100 for (i=0; i<imax; i++) { 101 ierr = PetscMemzero(w4,size*sizeof(int));CHKERRQ(ierr); /* initialise work vector*/ 102 idx_i = idx[i]; 103 len = n[i]; 104 for (j=0; j<len; j++) { 105 row = idx_i[j]; 106 if (row < 0) { 107 SETERRQ(1,"Index set cannot have negative entries"); 108 } 109 proc = rtable[row]; 110 w4[proc]++; 111 } 112 for (j=0; j<size; j++){ 113 if (w4[j]) { w1[j] += w4[j]; w3[j]++;} 114 } 115 } 116 117 nrqs = 0; /* no of outgoing messages */ 118 msz = 0; /* total mesg length (for all proc */ 119 w1[rank] = 0; /* no mesg sent to intself */ 120 w3[rank] = 0; 121 for (i=0; i<size; i++) { 122 if (w1[i]) {w2[i] = 1; nrqs++;} /* there exists a message to proc i */ 123 } 124 /* pa - is list of processors to communicate with */ 125 ierr = PetscMalloc((nrqs+1)*sizeof(int),&pa);CHKERRQ(ierr); 126 for (i=0,j=0; i<size; i++) { 127 if (w1[i]) {pa[j] = i; j++;} 128 } 129 130 /* Each message would have a header = 1 + 2*(no of IS) + data */ 131 for (i=0; i<nrqs; i++) { 132 j = pa[i]; 133 w1[j] += w2[j] + 2*w3[j]; 134 msz += w1[j]; 135 } 136 137 /* Determine the number of messages to expect, their lengths, from from-ids */ 138 ierr = PetscGatherNumberOfMessages(comm,w2,w1,&nrqr);CHKERRQ(ierr); 139 ierr = PetscGatherMessageLengths(comm,nrqs,nrqr,w1,&onodes1,&olengths1);CHKERRQ(ierr); 140 141 /* Now post the Irecvs corresponding to these messages */ 142 ierr = PetscPostIrecvInt(comm,tag1,nrqr,onodes1,olengths1,&rbuf,&r_waits1);CHKERRQ(ierr); 143 144 /* Allocate Memory for outgoing messages */ 145 len = 2*size*sizeof(int*) + (size+msz)*sizeof(int); 146 ierr = PetscMalloc(len,&outdat);CHKERRQ(ierr); 147 ptr = outdat + size; /* Pointers to the data in outgoing buffers */ 148 ierr = PetscMemzero(outdat,2*size*sizeof(int*));CHKERRQ(ierr); 149 tmp = (int*)(outdat + 2*size); 150 ctr = tmp + msz; 151 152 { 153 int *iptr = tmp,ict = 0; 154 for (i=0; i<nrqs; i++) { 155 j = pa[i]; 156 iptr += ict; 157 outdat[j] = iptr; 158 ict = w1[j]; 159 } 160 } 161 162 /* Form the outgoing messages */ 163 /*plug in the headers*/ 164 for (i=0; i<nrqs; i++) { 165 j = pa[i]; 166 outdat[j][0] = 0; 167 ierr = PetscMemzero(outdat[j]+1,2*w3[j]*sizeof(int));CHKERRQ(ierr); 168 ptr[j] = outdat[j] + 2*w3[j] + 1; 169 } 170 171 /* Memory for doing local proc's work*/ 172 { 173 int *d_p; 174 char *t_p; 175 176 len = (imax)*(sizeof(PetscBT) + sizeof(int*)+ sizeof(int)) + 177 (m)*imax*sizeof(int) + (m/BITSPERBYTE+1)*imax*sizeof(char) + 1; 178 ierr = PetscMalloc(len,&table);CHKERRQ(ierr); 179 ierr = PetscMemzero(table,len);CHKERRQ(ierr); 180 data = (int **)(table + imax); 181 isz = (int *)(data + imax); 182 d_p = (int *)(isz + imax); 183 t_p = (char *)(d_p + m*imax); 184 for (i=0; i<imax; i++) { 185 table[i] = t_p + (m/BITSPERBYTE+1)*i; 186 data[i] = d_p + (m)*i; 187 } 188 } 189 190 /* Parse the IS and update local tables and the outgoing buf with the data*/ 191 { 192 int n_i,*data_i,isz_i,*outdat_j,ctr_j; 193 PetscBT table_i; 194 195 for (i=0; i<imax; i++) { 196 ierr = PetscMemzero(ctr,size*sizeof(int));CHKERRQ(ierr); 197 n_i = n[i]; 198 table_i = table[i]; 199 idx_i = idx[i]; 200 data_i = data[i]; 201 isz_i = isz[i]; 202 for (j=0; j<n_i; j++) { /* parse the indices of each IS */ 203 row = idx_i[j]; 204 proc = rtable[row]; 205 if (proc != rank) { /* copy to the outgoing buffer */ 206 ctr[proc]++; 207 *ptr[proc] = row; 208 ptr[proc]++; 209 } else { /* Update the local table */ 210 if (!PetscBTLookupSet(table_i,row)) { data_i[isz_i++] = row;} 211 } 212 } 213 /* Update the headers for the current IS */ 214 for (j=0; j<size; j++) { /* Can Optimise this loop by using pa[] */ 215 if ((ctr_j = ctr[j])) { 216 outdat_j = outdat[j]; 217 k = ++outdat_j[0]; 218 outdat_j[2*k] = ctr_j; 219 outdat_j[2*k-1] = i; 220 } 221 } 222 isz[i] = isz_i; 223 } 224 } 225 226 227 228 /* Now post the sends */ 229 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Request),&s_waits1);CHKERRQ(ierr); 230 for (i=0; i<nrqs; ++i) { 231 j = pa[i]; 232 ierr = MPI_Isend(outdat[j],w1[j],MPI_INT,j,tag1,comm,s_waits1+i);CHKERRQ(ierr); 233 } 234 235 /* No longer need the original indices*/ 236 for (i=0; i<imax; ++i) { 237 ierr = ISRestoreIndices(is[i],idx+i);CHKERRQ(ierr); 238 } 239 ierr = PetscFree(idx);CHKERRQ(ierr); 240 241 for (i=0; i<imax; ++i) { 242 ierr = ISDestroy(is[i]);CHKERRQ(ierr); 243 } 244 245 /* Do Local work*/ 246 ierr = MatIncreaseOverlap_MPIAIJ_Local(C,imax,table,isz,data);CHKERRQ(ierr); 247 248 /* Receive messages*/ 249 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Status),&recv_status);CHKERRQ(ierr); 250 ierr = MPI_Waitall(nrqr,r_waits1,recv_status);CHKERRQ(ierr); 251 252 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Status),&s_status);CHKERRQ(ierr); 253 ierr = MPI_Waitall(nrqs,s_waits1,s_status);CHKERRQ(ierr); 254 255 /* Phase 1 sends are complete - deallocate buffers */ 256 ierr = PetscFree(outdat);CHKERRQ(ierr); 257 ierr = PetscFree(w1);CHKERRQ(ierr); 258 259 ierr = PetscMalloc((nrqr+1)*sizeof(int *),&xdata);CHKERRQ(ierr); 260 ierr = PetscMalloc((nrqr+1)*sizeof(int),&isz1);CHKERRQ(ierr); 261 ierr = MatIncreaseOverlap_MPIAIJ_Receive(C,nrqr,rbuf,xdata,isz1);CHKERRQ(ierr); 262 ierr = PetscFree(rbuf);CHKERRQ(ierr); 263 264 265 /* Send the data back*/ 266 /* Do a global reduction to know the buffer space req for incoming messages*/ 267 { 268 int *rw1; 269 270 ierr = PetscMalloc(size*sizeof(int),&rw1);CHKERRQ(ierr); 271 ierr = PetscMemzero(rw1,size*sizeof(int));CHKERRQ(ierr); 272 273 for (i=0; i<nrqr; ++i) { 274 proc = recv_status[i].MPI_SOURCE; 275 if (proc != onodes1[i]) SETERRQ(1,"MPI_SOURCE mismatch"); 276 rw1[proc] = isz1[i]; 277 } 278 ierr = PetscFree(onodes1);CHKERRQ(ierr); 279 ierr = PetscFree(olengths1);CHKERRQ(ierr); 280 281 /* Determine the number of messages to expect, their lengths, from from-ids */ 282 ierr = PetscGatherMessageLengths(comm,nrqr,nrqs,rw1,&onodes2,&olengths2);CHKERRQ(ierr); 283 PetscFree(rw1); 284 } 285 /* Now post the Irecvs corresponding to these messages */ 286 ierr = PetscPostIrecvInt(comm,tag2,nrqs,onodes2,olengths2,&rbuf2,&r_waits2);CHKERRQ(ierr); 287 288 /* Now post the sends */ 289 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Request),&s_waits2);CHKERRQ(ierr); 290 for (i=0; i<nrqr; ++i) { 291 j = recv_status[i].MPI_SOURCE; 292 ierr = MPI_Isend(xdata[i],isz1[i],MPI_INT,j,tag2,comm,s_waits2+i);CHKERRQ(ierr); 293 } 294 295 /* receive work done on other processors*/ 296 { 297 int index,is_no,ct1,max,*rbuf2_i,isz_i,*data_i,jmax; 298 PetscBT table_i; 299 MPI_Status *status2; 300 301 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Status),&status2);CHKERRQ(ierr); 302 for (i=0; i<nrqs; ++i) { 303 ierr = MPI_Waitany(nrqs,r_waits2,&index,status2+i);CHKERRQ(ierr); 304 /* Process the message*/ 305 rbuf2_i = rbuf2[index]; 306 ct1 = 2*rbuf2_i[0]+1; 307 jmax = rbuf2[index][0]; 308 for (j=1; j<=jmax; j++) { 309 max = rbuf2_i[2*j]; 310 is_no = rbuf2_i[2*j-1]; 311 isz_i = isz[is_no]; 312 data_i = data[is_no]; 313 table_i = table[is_no]; 314 for (k=0; k<max; k++,ct1++) { 315 row = rbuf2_i[ct1]; 316 if (!PetscBTLookupSet(table_i,row)) { data_i[isz_i++] = row;} 317 } 318 isz[is_no] = isz_i; 319 } 320 } 321 322 ierr = MPI_Waitall(nrqr,s_waits2,status2);CHKERRQ(ierr); 323 ierr = PetscFree(status2);CHKERRQ(ierr); 324 } 325 326 for (i=0; i<imax; ++i) { 327 ierr = ISCreateGeneral(PETSC_COMM_SELF,isz[i],data[i],is+i);CHKERRQ(ierr); 328 } 329 330 ierr = PetscFree(onodes2);CHKERRQ(ierr); 331 ierr = PetscFree(olengths2);CHKERRQ(ierr); 332 333 ierr = PetscFree(pa);CHKERRQ(ierr); 334 ierr = PetscFree(rbuf2);CHKERRQ(ierr); 335 ierr = PetscFree(s_waits1);CHKERRQ(ierr); 336 ierr = PetscFree(r_waits1);CHKERRQ(ierr); 337 ierr = PetscFree(s_waits2);CHKERRQ(ierr); 338 ierr = PetscFree(r_waits2);CHKERRQ(ierr); 339 ierr = PetscFree(table);CHKERRQ(ierr); 340 ierr = PetscFree(s_status);CHKERRQ(ierr); 341 ierr = PetscFree(recv_status);CHKERRQ(ierr); 342 ierr = PetscFree(xdata[0]);CHKERRQ(ierr); 343 ierr = PetscFree(xdata);CHKERRQ(ierr); 344 ierr = PetscFree(isz1);CHKERRQ(ierr); 345 PetscFunctionReturn(0); 346 } 347 348 #undef __FUNCT__ 349 #define __FUNCT__ "MatIncreaseOverlap_MPIAIJ_Local" 350 /* 351 MatIncreaseOverlap_MPIAIJ_Local - Called by MatincreaseOverlap, to do 352 the work on the local processor. 353 354 Inputs: 355 C - MAT_MPIAIJ; 356 imax - total no of index sets processed at a time; 357 table - an array of char - size = m bits. 358 359 Output: 360 isz - array containing the count of the solution elements correspondign 361 to each index set; 362 data - pointer to the solutions 363 */ 364 static int MatIncreaseOverlap_MPIAIJ_Local(Mat C,int imax,PetscBT *table,int *isz,int **data) 365 { 366 Mat_MPIAIJ *c = (Mat_MPIAIJ*)C->data; 367 Mat A = c->A,B = c->B; 368 Mat_SeqAIJ *a = (Mat_SeqAIJ*)A->data,*b = (Mat_SeqAIJ*)B->data; 369 int start,end,val,max,rstart,cstart,ashift,bshift,*ai,*aj; 370 int *bi,*bj,*garray,i,j,k,row,*data_i,isz_i; 371 PetscBT table_i; 372 373 PetscFunctionBegin; 374 rstart = c->rstart; 375 cstart = c->cstart; 376 ashift = a->indexshift; 377 ai = a->i; 378 aj = a->j +ashift; 379 bshift = b->indexshift; 380 bi = b->i; 381 bj = b->j +bshift; 382 garray = c->garray; 383 384 385 for (i=0; i<imax; i++) { 386 data_i = data[i]; 387 table_i = table[i]; 388 isz_i = isz[i]; 389 for (j=0,max=isz[i]; j<max; j++) { 390 row = data_i[j] - rstart; 391 start = ai[row]; 392 end = ai[row+1]; 393 for (k=start; k<end; k++) { /* Amat */ 394 val = aj[k] + ashift + cstart; 395 if (!PetscBTLookupSet(table_i,val)) { data_i[isz_i++] = val;} 396 } 397 start = bi[row]; 398 end = bi[row+1]; 399 for (k=start; k<end; k++) { /* Bmat */ 400 val = garray[bj[k]+bshift]; 401 if (!PetscBTLookupSet(table_i,val)) { data_i[isz_i++] = val;} 402 } 403 } 404 isz[i] = isz_i; 405 } 406 PetscFunctionReturn(0); 407 } 408 409 #undef __FUNCT__ 410 #define __FUNCT__ "MatIncreaseOverlap_MPIAIJ_Receive" 411 /* 412 MatIncreaseOverlap_MPIAIJ_Receive - Process the recieved messages, 413 and return the output 414 415 Input: 416 C - the matrix 417 nrqr - no of messages being processed. 418 rbuf - an array of pointers to the recieved requests 419 420 Output: 421 xdata - array of messages to be sent back 422 isz1 - size of each message 423 424 For better efficiency perhaps we should malloc seperately each xdata[i], 425 then if a remalloc is required we need only copy the data for that one row 426 rather then all previous rows as it is now where a single large chunck of 427 memory is used. 428 429 */ 430 static int MatIncreaseOverlap_MPIAIJ_Receive(Mat C,int nrqr,int **rbuf,int **xdata,int * isz1) 431 { 432 Mat_MPIAIJ *c = (Mat_MPIAIJ*)C->data; 433 Mat A = c->A,B = c->B; 434 Mat_SeqAIJ *a = (Mat_SeqAIJ*)A->data,*b = (Mat_SeqAIJ*)B->data; 435 int rstart,cstart,ashift,bshift,*ai,*aj,*bi,*bj,*garray,i,j,k; 436 int row,total_sz,ct,ct1,ct2,ct3,mem_estimate,oct2,l,start,end; 437 int val,max1,max2,rank,m,no_malloc =0,*tmp,new_estimate,ctr; 438 int *rbuf_i,kmax,rbuf_0,ierr; 439 PetscBT xtable; 440 441 PetscFunctionBegin; 442 rank = c->rank; 443 m = C->M; 444 rstart = c->rstart; 445 cstart = c->cstart; 446 ashift = a->indexshift; 447 ai = a->i; 448 aj = a->j +ashift; 449 bshift = b->indexshift; 450 bi = b->i; 451 bj = b->j +bshift; 452 garray = c->garray; 453 454 455 for (i=0,ct=0,total_sz=0; i<nrqr; ++i) { 456 rbuf_i = rbuf[i]; 457 rbuf_0 = rbuf_i[0]; 458 ct += rbuf_0; 459 for (j=1; j<=rbuf_0; j++) { total_sz += rbuf_i[2*j]; } 460 } 461 462 if (C->m) max1 = ct*(a->nz + b->nz)/C->m; 463 else max1 = 1; 464 mem_estimate = 3*((total_sz > max1 ? total_sz : max1)+1); 465 ierr = PetscMalloc(mem_estimate*sizeof(int),&xdata[0]);CHKERRQ(ierr); 466 ++no_malloc; 467 ierr = PetscBTCreate(m,xtable);CHKERRQ(ierr); 468 ierr = PetscMemzero(isz1,nrqr*sizeof(int));CHKERRQ(ierr); 469 470 ct3 = 0; 471 for (i=0; i<nrqr; i++) { /* for easch mesg from proc i */ 472 rbuf_i = rbuf[i]; 473 rbuf_0 = rbuf_i[0]; 474 ct1 = 2*rbuf_0+1; 475 ct2 = ct1; 476 ct3 += ct1; 477 for (j=1; j<=rbuf_0; j++) { /* for each IS from proc i*/ 478 ierr = PetscBTMemzero(m,xtable);CHKERRQ(ierr); 479 oct2 = ct2; 480 kmax = rbuf_i[2*j]; 481 for (k=0; k<kmax; k++,ct1++) { 482 row = rbuf_i[ct1]; 483 if (!PetscBTLookupSet(xtable,row)) { 484 if (!(ct3 < mem_estimate)) { 485 new_estimate = (int)(1.5*mem_estimate)+1; 486 ierr = PetscMalloc(new_estimate*sizeof(int),&tmp);CHKERRQ(ierr); 487 ierr = PetscMemcpy(tmp,xdata[0],mem_estimate*sizeof(int));CHKERRQ(ierr); 488 ierr = PetscFree(xdata[0]);CHKERRQ(ierr); 489 xdata[0] = tmp; 490 mem_estimate = new_estimate; ++no_malloc; 491 for (ctr=1; ctr<=i; ctr++) { xdata[ctr] = xdata[ctr-1] + isz1[ctr-1];} 492 } 493 xdata[i][ct2++] = row; 494 ct3++; 495 } 496 } 497 for (k=oct2,max2=ct2; k<max2; k++) { 498 row = xdata[i][k] - rstart; 499 start = ai[row]; 500 end = ai[row+1]; 501 for (l=start; l<end; l++) { 502 val = aj[l] + ashift + cstart; 503 if (!PetscBTLookupSet(xtable,val)) { 504 if (!(ct3 < mem_estimate)) { 505 new_estimate = (int)(1.5*mem_estimate)+1; 506 ierr = PetscMalloc(new_estimate*sizeof(int),&tmp);CHKERRQ(ierr); 507 ierr = PetscMemcpy(tmp,xdata[0],mem_estimate*sizeof(int));CHKERRQ(ierr); 508 ierr = PetscFree(xdata[0]);CHKERRQ(ierr); 509 xdata[0] = tmp; 510 mem_estimate = new_estimate; ++no_malloc; 511 for (ctr=1; ctr<=i; ctr++) { xdata[ctr] = xdata[ctr-1] + isz1[ctr-1];} 512 } 513 xdata[i][ct2++] = val; 514 ct3++; 515 } 516 } 517 start = bi[row]; 518 end = bi[row+1]; 519 for (l=start; l<end; l++) { 520 val = garray[bj[l]+bshift]; 521 if (!PetscBTLookupSet(xtable,val)) { 522 if (!(ct3 < mem_estimate)) { 523 new_estimate = (int)(1.5*mem_estimate)+1; 524 ierr = PetscMalloc(new_estimate*sizeof(int),&tmp);CHKERRQ(ierr); 525 ierr = PetscMemcpy(tmp,xdata[0],mem_estimate*sizeof(int));CHKERRQ(ierr); 526 ierr = PetscFree(xdata[0]);CHKERRQ(ierr); 527 xdata[0] = tmp; 528 mem_estimate = new_estimate; ++no_malloc; 529 for (ctr =1; ctr <=i; ctr++) { xdata[ctr] = xdata[ctr-1] + isz1[ctr-1];} 530 } 531 xdata[i][ct2++] = val; 532 ct3++; 533 } 534 } 535 } 536 /* Update the header*/ 537 xdata[i][2*j] = ct2 - oct2; /* Undo the vector isz1 and use only a var*/ 538 xdata[i][2*j-1] = rbuf_i[2*j-1]; 539 } 540 xdata[i][0] = rbuf_0; 541 xdata[i+1] = xdata[i] + ct2; 542 isz1[i] = ct2; /* size of each message */ 543 } 544 ierr = PetscBTDestroy(xtable);CHKERRQ(ierr); 545 PetscLogInfo(0,"MatIncreaseOverlap_MPIAIJ:[%d] Allocated %d bytes, required %d bytes, no of mallocs = %d\n",rank,mem_estimate, ct3,no_malloc); 546 PetscFunctionReturn(0); 547 } 548 /* -------------------------------------------------------------------------*/ 549 EXTERN int MatGetSubMatrices_MPIAIJ_Local(Mat,int,IS*,IS*,MatReuse,Mat*); 550 EXTERN int MatAssemblyEnd_SeqAIJ(Mat,MatAssemblyType); 551 /* 552 Every processor gets the entire matrix 553 */ 554 #undef __FUNCT__ 555 #define __FUNCT__ "MatGetSubMatrix_MPIAIJ_All" 556 int MatGetSubMatrix_MPIAIJ_All(Mat A,MatReuse scall,Mat **Bin) 557 { 558 Mat B; 559 Mat_MPIAIJ *a = (Mat_MPIAIJ *)A->data; 560 Mat_SeqAIJ *b,*ad = (Mat_SeqAIJ*)a->A->data,*bd = (Mat_SeqAIJ*)a->B->data; 561 int ierr,sendcount,*recvcounts = 0,*displs = 0,size,i,*rstarts = a->rowners,rank,n,cnt,j; 562 int m,*b_sendj,*garray = a->garray,*lens,*jsendbuf,*a_jsendbuf,*b_jsendbuf; 563 PetscScalar *sendbuf,*recvbuf,*a_sendbuf,*b_sendbuf; 564 565 PetscFunctionBegin; 566 ierr = MPI_Comm_size(A->comm,&size);CHKERRQ(ierr); 567 ierr = MPI_Comm_rank(A->comm,&rank);CHKERRQ(ierr); 568 569 if (scall == MAT_INITIAL_MATRIX) { 570 /* ---------------------------------------------------------------- 571 Tell every processor the number of nonzeros per row 572 */ 573 ierr = PetscMalloc(A->M*sizeof(int),&lens);CHKERRQ(ierr); 574 for (i=a->rstart; i<a->rend; i++) { 575 lens[i] = ad->i[i-a->rstart+1] - ad->i[i-a->rstart] + bd->i[i-a->rstart+1] - bd->i[i-a->rstart]; 576 } 577 sendcount = a->rend - a->rstart; 578 ierr = PetscMalloc(2*size*sizeof(int),&recvcounts);CHKERRQ(ierr); 579 displs = recvcounts + size; 580 for (i=0; i<size; i++) { 581 recvcounts[i] = a->rowners[i+1] - a->rowners[i]; 582 displs[i] = a->rowners[i]; 583 } 584 ierr = MPI_Allgatherv(lens+a->rstart,sendcount,MPI_INT,lens,recvcounts,displs,MPI_INT,A->comm);CHKERRQ(ierr); 585 586 /* --------------------------------------------------------------- 587 Create the sequential matrix 588 */ 589 ierr = MatCreateSeqAIJ(PETSC_COMM_SELF,A->M,A->N,0,lens,&B);CHKERRQ(ierr); 590 ierr = PetscMalloc(sizeof(Mat),Bin);CHKERRQ(ierr); 591 **Bin = B; 592 b = (Mat_SeqAIJ *)B->data; 593 594 /*-------------------------------------------------------------------- 595 Copy my part of matrix column indices over 596 */ 597 sendcount = ad->nz + bd->nz; 598 jsendbuf = b->j + b->i[rstarts[rank]]; 599 a_jsendbuf = ad->j; 600 b_jsendbuf = bd->j; 601 n = a->rend - a->rstart; 602 cnt = 0; 603 for (i=0; i<n; i++) { 604 605 /* put in lower diagonal portion */ 606 m = bd->i[i+1] - bd->i[i]; 607 while (m > 0) { 608 /* is it above diagonal (in bd (compressed) numbering) */ 609 if (garray[*b_jsendbuf] > a->rstart + i) break; 610 jsendbuf[cnt++] = garray[*b_jsendbuf++]; 611 m--; 612 } 613 614 /* put in diagonal portion */ 615 for (j=ad->i[i]; j<ad->i[i+1]; j++) { 616 jsendbuf[cnt++] = a->rstart + *a_jsendbuf++; 617 } 618 619 /* put in upper diagonal portion */ 620 while (m-- > 0) { 621 jsendbuf[cnt++] = garray[*b_jsendbuf++]; 622 } 623 } 624 if (cnt != sendcount) SETERRQ2(1,"Corrupted PETSc matrix: nz given %d actual nz %d",sendcount,cnt); 625 626 /*-------------------------------------------------------------------- 627 Gather all column indices to all processors 628 */ 629 for (i=0; i<size; i++) { 630 recvcounts[i] = 0; 631 for (j=a->rowners[i]; j<a->rowners[i+1]; j++) { 632 recvcounts[i] += lens[j]; 633 } 634 } 635 displs[0] = 0; 636 for (i=1; i<size; i++) { 637 displs[i] = displs[i-1] + recvcounts[i-1]; 638 } 639 ierr = MPI_Allgatherv(jsendbuf,sendcount,MPI_INT,b->j,recvcounts,displs,MPI_INT,A->comm);CHKERRQ(ierr); 640 641 /*-------------------------------------------------------------------- 642 Assemble the matrix into useable form (note numerical values not yet set) 643 */ 644 /* set the b->ilen (length of each row) values */ 645 ierr = PetscMemcpy(b->ilen,lens,A->M*sizeof(int));CHKERRQ(ierr); 646 /* set the b->i indices */ 647 b->i[0] = 0; 648 for (i=1; i<=A->M; i++) { 649 b->i[i] = b->i[i-1] + lens[i-1]; 650 } 651 ierr = PetscFree(lens);CHKERRQ(ierr); 652 ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 653 ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 654 } else { 655 B = **Bin; 656 b = (Mat_SeqAIJ *)B->data; 657 } 658 659 /*-------------------------------------------------------------------- 660 Copy my part of matrix numerical values into the values location 661 */ 662 sendcount = ad->nz + bd->nz; 663 sendbuf = b->a + b->i[rstarts[rank]]; 664 a_sendbuf = ad->a; 665 b_sendbuf = bd->a; 666 b_sendj = bd->j; 667 n = a->rend - a->rstart; 668 cnt = 0; 669 for (i=0; i<n; i++) { 670 671 /* put in lower diagonal portion */ 672 m = bd->i[i+1] - bd->i[i]; 673 while (m > 0) { 674 /* is it above diagonal (in bd (compressed) numbering) */ 675 if (garray[*b_sendj] > a->rstart + i) break; 676 sendbuf[cnt++] = *b_sendbuf++; 677 m--; 678 b_sendj++; 679 } 680 681 /* put in diagonal portion */ 682 for (j=ad->i[i]; j<ad->i[i+1]; j++) { 683 sendbuf[cnt++] = *a_sendbuf++; 684 } 685 686 /* put in upper diagonal portion */ 687 while (m-- > 0) { 688 sendbuf[cnt++] = *b_sendbuf++; 689 b_sendj++; 690 } 691 } 692 if (cnt != sendcount) SETERRQ2(1,"Corrupted PETSc matrix: nz given %d actual nz %d",sendcount,cnt); 693 694 /* ----------------------------------------------------------------- 695 Gather all numerical values to all processors 696 */ 697 if (!recvcounts) { 698 ierr = PetscMalloc(2*size*sizeof(int),&recvcounts);CHKERRQ(ierr); 699 displs = recvcounts + size; 700 } 701 for (i=0; i<size; i++) { 702 recvcounts[i] = b->i[rstarts[i+1]] - b->i[rstarts[i]]; 703 } 704 displs[0] = 0; 705 for (i=1; i<size; i++) { 706 displs[i] = displs[i-1] + recvcounts[i-1]; 707 } 708 recvbuf = b->a; 709 ierr = MPI_Allgatherv(sendbuf,sendcount,MPIU_SCALAR,recvbuf,recvcounts,displs,MPIU_SCALAR,A->comm);CHKERRQ(ierr); 710 ierr = PetscFree(recvcounts);CHKERRQ(ierr); 711 712 PetscFunctionReturn(0); 713 } 714 715 #undef __FUNCT__ 716 #define __FUNCT__ "MatGetSubMatrices_MPIAIJ" 717 int MatGetSubMatrices_MPIAIJ(Mat C,int ismax,IS *isrow,IS *iscol,MatReuse scall,Mat **submat) 718 { 719 int nmax,nstages_local,nstages,i,pos,max_no,ierr,nrow,ncol; 720 PetscTruth rowflag,colflag,wantallmatrix = PETSC_FALSE,twantallmatrix; 721 722 PetscFunctionBegin; 723 /* 724 Check for special case each processor gets entire matrix 725 */ 726 if (ismax == 1 && C->M == C->N) { 727 ierr = ISIdentity(*isrow,&rowflag);CHKERRQ(ierr); 728 ierr = ISIdentity(*iscol,&colflag);CHKERRQ(ierr); 729 ierr = ISGetLocalSize(*isrow,&nrow);CHKERRQ(ierr); 730 ierr = ISGetLocalSize(*iscol,&ncol);CHKERRQ(ierr); 731 if (rowflag && colflag && nrow == C->M && ncol == C->N) { 732 wantallmatrix = PETSC_TRUE; 733 ierr = PetscOptionsGetLogical(C->prefix,"-use_fast_submatrix",&wantallmatrix,PETSC_NULL);CHKERRQ(ierr); 734 } 735 } 736 ierr = MPI_Allreduce(&wantallmatrix,&twantallmatrix,1,MPI_INT,MPI_MIN,C->comm);CHKERRQ(ierr); 737 if (twantallmatrix) { 738 ierr = MatGetSubMatrix_MPIAIJ_All(C,scall,submat);CHKERRQ(ierr); 739 PetscFunctionReturn(0); 740 } 741 742 /* Allocate memory to hold all the submatrices */ 743 if (scall != MAT_REUSE_MATRIX) { 744 ierr = PetscMalloc((ismax+1)*sizeof(Mat),submat);CHKERRQ(ierr); 745 } 746 /* Determine the number of stages through which submatrices are done */ 747 nmax = 20*1000000 / (C->N * sizeof(int)); 748 if (!nmax) nmax = 1; 749 nstages_local = ismax/nmax + ((ismax % nmax)?1:0); 750 751 /* Make sure every processor loops through the nstages */ 752 ierr = MPI_Allreduce(&nstages_local,&nstages,1,MPI_INT,MPI_MAX,C->comm);CHKERRQ(ierr); 753 754 for (i=0,pos=0; i<nstages; i++) { 755 if (pos+nmax <= ismax) max_no = nmax; 756 else if (pos == ismax) max_no = 0; 757 else max_no = ismax-pos; 758 ierr = MatGetSubMatrices_MPIAIJ_Local(C,max_no,isrow+pos,iscol+pos,scall,*submat+pos);CHKERRQ(ierr); 759 pos += max_no; 760 } 761 PetscFunctionReturn(0); 762 } 763 /* -------------------------------------------------------------------------*/ 764 #undef __FUNCT__ 765 #define __FUNCT__ "MatGetSubMatrices_MPIAIJ_Local" 766 int MatGetSubMatrices_MPIAIJ_Local(Mat C,int ismax,IS *isrow,IS *iscol,MatReuse scall,Mat *submats) 767 { 768 Mat_MPIAIJ *c = (Mat_MPIAIJ*)C->data; 769 Mat A = c->A; 770 Mat_SeqAIJ *a = (Mat_SeqAIJ*)A->data,*b = (Mat_SeqAIJ*)c->B->data,*mat; 771 int **irow,**icol,*nrow,*ncol,*w1,*w2,*w3,*w4,*rtable,start,end,size; 772 int **sbuf1,**sbuf2,rank,m,i,j,k,l,ct1,ct2,ierr,**rbuf1,row,proc; 773 int nrqs,msz,**ptr,index,*req_size,*ctr,*pa,*tmp,tcol,nrqr; 774 int **rbuf3,*req_source,**sbuf_aj,ashift,**rbuf2,max1,max2,**rmap; 775 int **cmap,**lens,is_no,ncols,*cols,mat_i,*mat_j,tmp2,jmax,*irow_i; 776 int len,ctr_j,*sbuf1_j,*sbuf_aj_i,*rbuf1_i,kmax,*cmap_i,*lens_i; 777 int *rmap_i,tag0,tag1,tag2,tag3; 778 MPI_Request *s_waits1,*r_waits1,*s_waits2,*r_waits2,*r_waits3; 779 MPI_Request *r_waits4,*s_waits3,*s_waits4; 780 MPI_Status *r_status1,*r_status2,*s_status1,*s_status3,*s_status2; 781 MPI_Status *r_status3,*r_status4,*s_status4; 782 MPI_Comm comm; 783 PetscScalar **rbuf4,**sbuf_aa,*vals,*mat_a,*sbuf_aa_i; 784 PetscTruth sorted; 785 int *onodes1,*olengths1; 786 787 PetscFunctionBegin; 788 comm = C->comm; 789 tag0 = C->tag; 790 size = c->size; 791 rank = c->rank; 792 m = C->M; 793 ashift = a->indexshift; 794 795 /* Get some new tags to keep the communication clean */ 796 ierr = PetscObjectGetNewTag((PetscObject)C,&tag1);CHKERRQ(ierr); 797 ierr = PetscObjectGetNewTag((PetscObject)C,&tag2);CHKERRQ(ierr); 798 ierr = PetscObjectGetNewTag((PetscObject)C,&tag3);CHKERRQ(ierr); 799 800 /* Check if the col indices are sorted */ 801 for (i=0; i<ismax; i++) { 802 ierr = ISSorted(isrow[i],&sorted);CHKERRQ(ierr); 803 if (!sorted) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"ISrow is not sorted"); 804 ierr = ISSorted(iscol[i],&sorted);CHKERRQ(ierr); 805 /* if (!sorted) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"IScol is not sorted"); */ 806 } 807 808 len = (2*ismax+1)*(sizeof(int*)+ sizeof(int)) + (m+1)*sizeof(int); 809 ierr = PetscMalloc(len,&irow);CHKERRQ(ierr); 810 icol = irow + ismax; 811 nrow = (int*)(icol + ismax); 812 ncol = nrow + ismax; 813 rtable = ncol + ismax; 814 815 for (i=0; i<ismax; i++) { 816 ierr = ISGetIndices(isrow[i],&irow[i]);CHKERRQ(ierr); 817 ierr = ISGetIndices(iscol[i],&icol[i]);CHKERRQ(ierr); 818 ierr = ISGetLocalSize(isrow[i],&nrow[i]);CHKERRQ(ierr); 819 ierr = ISGetLocalSize(iscol[i],&ncol[i]);CHKERRQ(ierr); 820 } 821 822 /* Create hash table for the mapping :row -> proc*/ 823 for (i=0,j=0; i<size; i++) { 824 jmax = c->rowners[i+1]; 825 for (; j<jmax; j++) { 826 rtable[j] = i; 827 } 828 } 829 830 /* evaluate communication - mesg to who, length of mesg, and buffer space 831 required. Based on this, buffers are allocated, and data copied into them*/ 832 ierr = PetscMalloc(size*4*sizeof(int),&w1);CHKERRQ(ierr); /* mesg size */ 833 w2 = w1 + size; /* if w2[i] marked, then a message to proc i*/ 834 w3 = w2 + size; /* no of IS that needs to be sent to proc i */ 835 w4 = w3 + size; /* temp work space used in determining w1, w2, w3 */ 836 ierr = PetscMemzero(w1,size*3*sizeof(int));CHKERRQ(ierr); /* initialize work vector*/ 837 for (i=0; i<ismax; i++) { 838 ierr = PetscMemzero(w4,size*sizeof(int));CHKERRQ(ierr); /* initialize work vector*/ 839 jmax = nrow[i]; 840 irow_i = irow[i]; 841 for (j=0; j<jmax; j++) { 842 row = irow_i[j]; 843 proc = rtable[row]; 844 w4[proc]++; 845 } 846 for (j=0; j<size; j++) { 847 if (w4[j]) { w1[j] += w4[j]; w3[j]++;} 848 } 849 } 850 851 nrqs = 0; /* no of outgoing messages */ 852 msz = 0; /* total mesg length (for all procs) */ 853 w1[rank] = 0; /* no mesg sent to self */ 854 w3[rank] = 0; 855 for (i=0; i<size; i++) { 856 if (w1[i]) { w2[i] = 1; nrqs++;} /* there exists a message to proc i */ 857 } 858 ierr = PetscMalloc((nrqs+1)*sizeof(int),&pa);CHKERRQ(ierr); /*(proc -array)*/ 859 for (i=0,j=0; i<size; i++) { 860 if (w1[i]) { pa[j] = i; j++; } 861 } 862 863 /* Each message would have a header = 1 + 2*(no of IS) + data */ 864 for (i=0; i<nrqs; i++) { 865 j = pa[i]; 866 w1[j] += w2[j] + 2* w3[j]; 867 msz += w1[j]; 868 } 869 870 /* Determine the number of messages to expect, their lengths, from from-ids */ 871 ierr = PetscGatherNumberOfMessages(comm,w2,w1,&nrqr);CHKERRQ(ierr); 872 ierr = PetscGatherMessageLengths(comm,nrqs,nrqr,w1,&onodes1,&olengths1);CHKERRQ(ierr); 873 874 /* Now post the Irecvs corresponding to these messages */ 875 ierr = PetscPostIrecvInt(comm,tag0,nrqr,onodes1,olengths1,&rbuf1,&r_waits1);CHKERRQ(ierr); 876 877 ierr = PetscFree(onodes1);CHKERRQ(ierr); 878 ierr = PetscFree(olengths1);CHKERRQ(ierr); 879 880 /* Allocate Memory for outgoing messages */ 881 len = 2*size*sizeof(int*) + 2*msz*sizeof(int) + size*sizeof(int); 882 ierr = PetscMalloc(len,&sbuf1);CHKERRQ(ierr); 883 ptr = sbuf1 + size; /* Pointers to the data in outgoing buffers */ 884 ierr = PetscMemzero(sbuf1,2*size*sizeof(int*));CHKERRQ(ierr); 885 /* allocate memory for outgoing data + buf to receive the first reply */ 886 tmp = (int*)(ptr + size); 887 ctr = tmp + 2*msz; 888 889 { 890 int *iptr = tmp,ict = 0; 891 for (i=0; i<nrqs; i++) { 892 j = pa[i]; 893 iptr += ict; 894 sbuf1[j] = iptr; 895 ict = w1[j]; 896 } 897 } 898 899 /* Form the outgoing messages */ 900 /* Initialize the header space */ 901 for (i=0; i<nrqs; i++) { 902 j = pa[i]; 903 sbuf1[j][0] = 0; 904 ierr = PetscMemzero(sbuf1[j]+1,2*w3[j]*sizeof(int));CHKERRQ(ierr); 905 ptr[j] = sbuf1[j] + 2*w3[j] + 1; 906 } 907 908 /* Parse the isrow and copy data into outbuf */ 909 for (i=0; i<ismax; i++) { 910 ierr = PetscMemzero(ctr,size*sizeof(int));CHKERRQ(ierr); 911 irow_i = irow[i]; 912 jmax = nrow[i]; 913 for (j=0; j<jmax; j++) { /* parse the indices of each IS */ 914 row = irow_i[j]; 915 proc = rtable[row]; 916 if (proc != rank) { /* copy to the outgoing buf*/ 917 ctr[proc]++; 918 *ptr[proc] = row; 919 ptr[proc]++; 920 } 921 } 922 /* Update the headers for the current IS */ 923 for (j=0; j<size; j++) { /* Can Optimise this loop too */ 924 if ((ctr_j = ctr[j])) { 925 sbuf1_j = sbuf1[j]; 926 k = ++sbuf1_j[0]; 927 sbuf1_j[2*k] = ctr_j; 928 sbuf1_j[2*k-1] = i; 929 } 930 } 931 } 932 933 /* Now post the sends */ 934 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Request),&s_waits1);CHKERRQ(ierr); 935 for (i=0; i<nrqs; ++i) { 936 j = pa[i]; 937 ierr = MPI_Isend(sbuf1[j],w1[j],MPI_INT,j,tag0,comm,s_waits1+i);CHKERRQ(ierr); 938 } 939 940 /* Post Receives to capture the buffer size */ 941 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Request),&r_waits2);CHKERRQ(ierr); 942 ierr = PetscMalloc((nrqs+1)*sizeof(int *),&rbuf2);CHKERRQ(ierr); 943 rbuf2[0] = tmp + msz; 944 for (i=1; i<nrqs; ++i) { 945 rbuf2[i] = rbuf2[i-1]+w1[pa[i-1]]; 946 } 947 for (i=0; i<nrqs; ++i) { 948 j = pa[i]; 949 ierr = MPI_Irecv(rbuf2[i],w1[j],MPI_INT,j,tag1,comm,r_waits2+i);CHKERRQ(ierr); 950 } 951 952 /* Send to other procs the buf size they should allocate */ 953 954 955 /* Receive messages*/ 956 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Request),&s_waits2);CHKERRQ(ierr); 957 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Status),&r_status1);CHKERRQ(ierr); 958 len = 2*nrqr*sizeof(int) + (nrqr+1)*sizeof(int*); 959 ierr = PetscMalloc(len,&sbuf2);CHKERRQ(ierr); 960 req_size = (int*)(sbuf2 + nrqr); 961 req_source = req_size + nrqr; 962 963 { 964 Mat_SeqAIJ *sA = (Mat_SeqAIJ*)c->A->data,*sB = (Mat_SeqAIJ*)c->B->data; 965 int *sAi = sA->i,*sBi = sB->i,id,rstart = c->rstart; 966 int *sbuf2_i; 967 968 for (i=0; i<nrqr; ++i) { 969 ierr = MPI_Waitany(nrqr,r_waits1,&index,r_status1+i);CHKERRQ(ierr); 970 req_size[index] = 0; 971 rbuf1_i = rbuf1[index]; 972 start = 2*rbuf1_i[0] + 1; 973 ierr = MPI_Get_count(r_status1+i,MPI_INT,&end);CHKERRQ(ierr); 974 ierr = PetscMalloc((end+1)*sizeof(int),&sbuf2[index]);CHKERRQ(ierr); 975 sbuf2_i = sbuf2[index]; 976 for (j=start; j<end; j++) { 977 id = rbuf1_i[j] - rstart; 978 ncols = sAi[id+1] - sAi[id] + sBi[id+1] - sBi[id]; 979 sbuf2_i[j] = ncols; 980 req_size[index] += ncols; 981 } 982 req_source[index] = r_status1[i].MPI_SOURCE; 983 /* form the header */ 984 sbuf2_i[0] = req_size[index]; 985 for (j=1; j<start; j++) { sbuf2_i[j] = rbuf1_i[j]; } 986 ierr = MPI_Isend(sbuf2_i,end,MPI_INT,req_source[index],tag1,comm,s_waits2+i);CHKERRQ(ierr); 987 } 988 } 989 ierr = PetscFree(r_status1);CHKERRQ(ierr); 990 ierr = PetscFree(r_waits1);CHKERRQ(ierr); 991 992 /* recv buffer sizes */ 993 /* Receive messages*/ 994 995 ierr = PetscMalloc((nrqs+1)*sizeof(int*),&rbuf3);CHKERRQ(ierr); 996 ierr = PetscMalloc((nrqs+1)*sizeof(PetscScalar*),&rbuf4);CHKERRQ(ierr); 997 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Request),&r_waits3);CHKERRQ(ierr); 998 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Request),&r_waits4);CHKERRQ(ierr); 999 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Status),&r_status2);CHKERRQ(ierr); 1000 1001 for (i=0; i<nrqs; ++i) { 1002 ierr = MPI_Waitany(nrqs,r_waits2,&index,r_status2+i);CHKERRQ(ierr); 1003 ierr = PetscMalloc((rbuf2[index][0]+1)*sizeof(int),&rbuf3[index]);CHKERRQ(ierr); 1004 ierr = PetscMalloc((rbuf2[index][0]+1)*sizeof(PetscScalar),&rbuf4[index]);CHKERRQ(ierr); 1005 ierr = MPI_Irecv(rbuf3[index],rbuf2[index][0],MPI_INT,r_status2[i].MPI_SOURCE,tag2,comm,r_waits3+index);CHKERRQ(ierr); 1006 ierr = MPI_Irecv(rbuf4[index],rbuf2[index][0],MPIU_SCALAR,r_status2[i].MPI_SOURCE,tag3,comm,r_waits4+index);CHKERRQ(ierr); 1007 } 1008 ierr = PetscFree(r_status2);CHKERRQ(ierr); 1009 ierr = PetscFree(r_waits2);CHKERRQ(ierr); 1010 1011 /* Wait on sends1 and sends2 */ 1012 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Status),&s_status1);CHKERRQ(ierr); 1013 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Status),&s_status2);CHKERRQ(ierr); 1014 1015 ierr = MPI_Waitall(nrqs,s_waits1,s_status1);CHKERRQ(ierr); 1016 ierr = MPI_Waitall(nrqr,s_waits2,s_status2);CHKERRQ(ierr); 1017 ierr = PetscFree(s_status1);CHKERRQ(ierr); 1018 ierr = PetscFree(s_status2);CHKERRQ(ierr); 1019 ierr = PetscFree(s_waits1);CHKERRQ(ierr); 1020 ierr = PetscFree(s_waits2);CHKERRQ(ierr); 1021 1022 /* Now allocate buffers for a->j, and send them off */ 1023 ierr = PetscMalloc((nrqr+1)*sizeof(int*),&sbuf_aj);CHKERRQ(ierr); 1024 for (i=0,j=0; i<nrqr; i++) j += req_size[i]; 1025 ierr = PetscMalloc((j+1)*sizeof(int),&sbuf_aj[0]);CHKERRQ(ierr); 1026 for (i=1; i<nrqr; i++) sbuf_aj[i] = sbuf_aj[i-1] + req_size[i-1]; 1027 1028 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Request),&s_waits3);CHKERRQ(ierr); 1029 { 1030 int nzA,nzB,*a_i = a->i,*b_i = b->i,imark; 1031 int *cworkA,*cworkB,cstart = c->cstart,rstart = c->rstart,*bmap = c->garray; 1032 int *a_j = a->j,*b_j = b->j,shift = a->indexshift,ctmp,*t_cols; 1033 1034 for (i=0; i<nrqr; i++) { 1035 rbuf1_i = rbuf1[i]; 1036 sbuf_aj_i = sbuf_aj[i]; 1037 ct1 = 2*rbuf1_i[0] + 1; 1038 ct2 = 0; 1039 for (j=1,max1=rbuf1_i[0]; j<=max1; j++) { 1040 kmax = rbuf1[i][2*j]; 1041 for (k=0; k<kmax; k++,ct1++) { 1042 row = rbuf1_i[ct1] - rstart; 1043 nzA = a_i[row+1] - a_i[row]; nzB = b_i[row+1] - b_i[row]; 1044 ncols = nzA + nzB; 1045 cworkA = a_j + a_i[row]; cworkB = b_j + b_i[row]; 1046 1047 /* load the column indices for this row into cols*/ 1048 cols = sbuf_aj_i + ct2; 1049 if (!shift) { 1050 for (l=0; l<nzB; l++) { 1051 if ((ctmp = bmap[cworkB[l]]) < cstart) cols[l] = ctmp; 1052 else break; 1053 } 1054 imark = l; 1055 for (l=0; l<nzA; l++) cols[imark+l] = cstart + cworkA[l]; 1056 for (l=imark; l<nzB; l++) cols[nzA+l] = bmap[cworkB[l]]; 1057 } else { 1058 ierr = MatGetRow_MPIAIJ(C,rbuf1_i[ct1],&ncols,&t_cols,0);CHKERRQ(ierr); 1059 ierr = PetscMemcpy(cols,t_cols,ncols*sizeof(int));CHKERRQ(ierr); 1060 ierr = MatRestoreRow_MPIAIJ(C,rbuf1_i[ct1],&ncols,&t_cols,0);CHKERRQ(ierr); 1061 } 1062 1063 ct2 += ncols; 1064 } 1065 } 1066 ierr = MPI_Isend(sbuf_aj_i,req_size[i],MPI_INT,req_source[i],tag2,comm,s_waits3+i);CHKERRQ(ierr); 1067 } 1068 } 1069 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Status),&r_status3);CHKERRQ(ierr); 1070 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Status),&s_status3);CHKERRQ(ierr); 1071 1072 /* Allocate buffers for a->a, and send them off */ 1073 ierr = PetscMalloc((nrqr+1)*sizeof(PetscScalar*),&sbuf_aa);CHKERRQ(ierr); 1074 for (i=0,j=0; i<nrqr; i++) j += req_size[i]; 1075 ierr = PetscMalloc((j+1)*sizeof(PetscScalar),&sbuf_aa[0]);CHKERRQ(ierr); 1076 for (i=1; i<nrqr; i++) sbuf_aa[i] = sbuf_aa[i-1] + req_size[i-1]; 1077 1078 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Request),&s_waits4);CHKERRQ(ierr); 1079 { 1080 int nzA,nzB,*a_i = a->i,*b_i = b->i, *cworkB,imark; 1081 int cstart = c->cstart,rstart = c->rstart,*bmap = c->garray; 1082 int *b_j = b->j,shift = a->indexshift; 1083 PetscScalar *vworkA,*vworkB,*a_a = a->a,*b_a = b->a,*t_vals; 1084 1085 for (i=0; i<nrqr; i++) { 1086 rbuf1_i = rbuf1[i]; 1087 sbuf_aa_i = sbuf_aa[i]; 1088 ct1 = 2*rbuf1_i[0]+1; 1089 ct2 = 0; 1090 for (j=1,max1=rbuf1_i[0]; j<=max1; j++) { 1091 kmax = rbuf1_i[2*j]; 1092 for (k=0; k<kmax; k++,ct1++) { 1093 row = rbuf1_i[ct1] - rstart; 1094 nzA = a_i[row+1] - a_i[row]; nzB = b_i[row+1] - b_i[row]; 1095 ncols = nzA + nzB; 1096 cworkB = b_j + b_i[row]; 1097 vworkA = a_a + a_i[row]; 1098 vworkB = b_a + b_i[row]; 1099 1100 /* load the column values for this row into vals*/ 1101 vals = sbuf_aa_i+ct2; 1102 if (!shift) { 1103 for (l=0; l<nzB; l++) { 1104 if ((bmap[cworkB[l]]) < cstart) vals[l] = vworkB[l]; 1105 else break; 1106 } 1107 imark = l; 1108 for (l=0; l<nzA; l++) vals[imark+l] = vworkA[l]; 1109 for (l=imark; l<nzB; l++) vals[nzA+l] = vworkB[l]; 1110 } else { 1111 ierr = MatGetRow_MPIAIJ(C,rbuf1_i[ct1],&ncols,0,&t_vals);CHKERRQ(ierr); 1112 ierr = PetscMemcpy(vals,t_vals,ncols*sizeof(PetscScalar));CHKERRQ(ierr); 1113 ierr = MatRestoreRow_MPIAIJ(C,rbuf1_i[ct1],&ncols,0,&t_vals);CHKERRQ(ierr); 1114 } 1115 ct2 += ncols; 1116 } 1117 } 1118 ierr = MPI_Isend(sbuf_aa_i,req_size[i],MPIU_SCALAR,req_source[i],tag3,comm,s_waits4+i);CHKERRQ(ierr); 1119 } 1120 } 1121 ierr = PetscMalloc((nrqs+1)*sizeof(MPI_Status),&r_status4);CHKERRQ(ierr); 1122 ierr = PetscMalloc((nrqr+1)*sizeof(MPI_Status),&s_status4);CHKERRQ(ierr); 1123 ierr = PetscFree(rbuf1);CHKERRQ(ierr); 1124 1125 /* Form the matrix */ 1126 /* create col map */ 1127 { 1128 int *icol_i; 1129 1130 len = (1+ismax)*sizeof(int*)+ ismax*C->N*sizeof(int); 1131 ierr = PetscMalloc(len,&cmap);CHKERRQ(ierr); 1132 cmap[0] = (int *)(cmap + ismax); 1133 ierr = PetscMemzero(cmap[0],(1+ismax*C->N)*sizeof(int));CHKERRQ(ierr); 1134 for (i=1; i<ismax; i++) { cmap[i] = cmap[i-1] + C->N; } 1135 for (i=0; i<ismax; i++) { 1136 jmax = ncol[i]; 1137 icol_i = icol[i]; 1138 cmap_i = cmap[i]; 1139 for (j=0; j<jmax; j++) { 1140 cmap_i[icol_i[j]] = j+1; 1141 } 1142 } 1143 } 1144 1145 /* Create lens which is required for MatCreate... */ 1146 for (i=0,j=0; i<ismax; i++) { j += nrow[i]; } 1147 len = (1+ismax)*sizeof(int*)+ j*sizeof(int); 1148 ierr = PetscMalloc(len,&lens);CHKERRQ(ierr); 1149 lens[0] = (int *)(lens + ismax); 1150 ierr = PetscMemzero(lens[0],j*sizeof(int));CHKERRQ(ierr); 1151 for (i=1; i<ismax; i++) { lens[i] = lens[i-1] + nrow[i-1]; } 1152 1153 /* Update lens from local data */ 1154 for (i=0; i<ismax; i++) { 1155 jmax = nrow[i]; 1156 cmap_i = cmap[i]; 1157 irow_i = irow[i]; 1158 lens_i = lens[i]; 1159 for (j=0; j<jmax; j++) { 1160 row = irow_i[j]; 1161 proc = rtable[row]; 1162 if (proc == rank) { 1163 ierr = MatGetRow_MPIAIJ(C,row,&ncols,&cols,0);CHKERRQ(ierr); 1164 for (k=0; k<ncols; k++) { 1165 if (cmap_i[cols[k]]) { lens_i[j]++;} 1166 } 1167 ierr = MatRestoreRow_MPIAIJ(C,row,&ncols,&cols,0);CHKERRQ(ierr); 1168 } 1169 } 1170 } 1171 1172 /* Create row map*/ 1173 len = (1+ismax)*sizeof(int*)+ ismax*C->M*sizeof(int); 1174 ierr = PetscMalloc(len,&rmap);CHKERRQ(ierr); 1175 rmap[0] = (int *)(rmap + ismax); 1176 ierr = PetscMemzero(rmap[0],ismax*C->M*sizeof(int));CHKERRQ(ierr); 1177 for (i=1; i<ismax; i++) { rmap[i] = rmap[i-1] + C->M;} 1178 for (i=0; i<ismax; i++) { 1179 rmap_i = rmap[i]; 1180 irow_i = irow[i]; 1181 jmax = nrow[i]; 1182 for (j=0; j<jmax; j++) { 1183 rmap_i[irow_i[j]] = j; 1184 } 1185 } 1186 1187 /* Update lens from offproc data */ 1188 { 1189 int *rbuf2_i,*rbuf3_i,*sbuf1_i; 1190 1191 for (tmp2=0; tmp2<nrqs; tmp2++) { 1192 ierr = MPI_Waitany(nrqs,r_waits3,&i,r_status3+tmp2);CHKERRQ(ierr); 1193 index = pa[i]; 1194 sbuf1_i = sbuf1[index]; 1195 jmax = sbuf1_i[0]; 1196 ct1 = 2*jmax+1; 1197 ct2 = 0; 1198 rbuf2_i = rbuf2[i]; 1199 rbuf3_i = rbuf3[i]; 1200 for (j=1; j<=jmax; j++) { 1201 is_no = sbuf1_i[2*j-1]; 1202 max1 = sbuf1_i[2*j]; 1203 lens_i = lens[is_no]; 1204 cmap_i = cmap[is_no]; 1205 rmap_i = rmap[is_no]; 1206 for (k=0; k<max1; k++,ct1++) { 1207 row = rmap_i[sbuf1_i[ct1]]; /* the val in the new matrix to be */ 1208 max2 = rbuf2_i[ct1]; 1209 for (l=0; l<max2; l++,ct2++) { 1210 if (cmap_i[rbuf3_i[ct2]]) { 1211 lens_i[row]++; 1212 } 1213 } 1214 } 1215 } 1216 } 1217 } 1218 ierr = PetscFree(r_status3);CHKERRQ(ierr); 1219 ierr = PetscFree(r_waits3);CHKERRQ(ierr); 1220 ierr = MPI_Waitall(nrqr,s_waits3,s_status3);CHKERRQ(ierr); 1221 ierr = PetscFree(s_status3);CHKERRQ(ierr); 1222 ierr = PetscFree(s_waits3);CHKERRQ(ierr); 1223 1224 /* Create the submatrices */ 1225 if (scall == MAT_REUSE_MATRIX) { 1226 PetscTruth flag; 1227 1228 /* 1229 Assumes new rows are same length as the old rows,hence bug! 1230 */ 1231 for (i=0; i<ismax; i++) { 1232 mat = (Mat_SeqAIJ *)(submats[i]->data); 1233 if ((submats[i]->m != nrow[i]) || (submats[i]->n != ncol[i])) { 1234 SETERRQ(PETSC_ERR_ARG_SIZ,"Cannot reuse matrix. wrong size"); 1235 } 1236 ierr = PetscMemcmp(mat->ilen,lens[i],submats[i]->m*sizeof(int),&flag);CHKERRQ(ierr); 1237 if (flag == PETSC_FALSE) { 1238 SETERRQ(PETSC_ERR_ARG_SIZ,"Cannot reuse matrix. wrong no of nonzeros"); 1239 } 1240 /* Initial matrix as if empty */ 1241 ierr = PetscMemzero(mat->ilen,submats[i]->m*sizeof(int));CHKERRQ(ierr); 1242 submats[i]->factor = C->factor; 1243 } 1244 } else { 1245 for (i=0; i<ismax; i++) { 1246 ierr = MatCreateSeqAIJ(PETSC_COMM_SELF,nrow[i],ncol[i],0,lens[i],submats+i);CHKERRQ(ierr); 1247 } 1248 } 1249 1250 /* Assemble the matrices */ 1251 /* First assemble the local rows */ 1252 { 1253 int ilen_row,*imat_ilen,*imat_j,*imat_i,old_row; 1254 PetscScalar *imat_a; 1255 1256 for (i=0; i<ismax; i++) { 1257 mat = (Mat_SeqAIJ*)submats[i]->data; 1258 imat_ilen = mat->ilen; 1259 imat_j = mat->j; 1260 imat_i = mat->i; 1261 imat_a = mat->a; 1262 cmap_i = cmap[i]; 1263 rmap_i = rmap[i]; 1264 irow_i = irow[i]; 1265 jmax = nrow[i]; 1266 for (j=0; j<jmax; j++) { 1267 row = irow_i[j]; 1268 proc = rtable[row]; 1269 if (proc == rank) { 1270 old_row = row; 1271 row = rmap_i[row]; 1272 ilen_row = imat_ilen[row]; 1273 ierr = MatGetRow_MPIAIJ(C,old_row,&ncols,&cols,&vals);CHKERRQ(ierr); 1274 mat_i = imat_i[row] + ashift; 1275 mat_a = imat_a + mat_i; 1276 mat_j = imat_j + mat_i; 1277 for (k=0; k<ncols; k++) { 1278 if ((tcol = cmap_i[cols[k]])) { 1279 *mat_j++ = tcol - (!ashift); 1280 *mat_a++ = vals[k]; 1281 ilen_row++; 1282 } 1283 } 1284 ierr = MatRestoreRow_MPIAIJ(C,old_row,&ncols,&cols,&vals);CHKERRQ(ierr); 1285 imat_ilen[row] = ilen_row; 1286 } 1287 } 1288 } 1289 } 1290 1291 /* Now assemble the off proc rows*/ 1292 { 1293 int *sbuf1_i,*rbuf2_i,*rbuf3_i,*imat_ilen,ilen; 1294 int *imat_j,*imat_i; 1295 PetscScalar *imat_a,*rbuf4_i; 1296 1297 for (tmp2=0; tmp2<nrqs; tmp2++) { 1298 ierr = MPI_Waitany(nrqs,r_waits4,&i,r_status4+tmp2);CHKERRQ(ierr); 1299 index = pa[i]; 1300 sbuf1_i = sbuf1[index]; 1301 jmax = sbuf1_i[0]; 1302 ct1 = 2*jmax + 1; 1303 ct2 = 0; 1304 rbuf2_i = rbuf2[i]; 1305 rbuf3_i = rbuf3[i]; 1306 rbuf4_i = rbuf4[i]; 1307 for (j=1; j<=jmax; j++) { 1308 is_no = sbuf1_i[2*j-1]; 1309 rmap_i = rmap[is_no]; 1310 cmap_i = cmap[is_no]; 1311 mat = (Mat_SeqAIJ*)submats[is_no]->data; 1312 imat_ilen = mat->ilen; 1313 imat_j = mat->j; 1314 imat_i = mat->i; 1315 imat_a = mat->a; 1316 max1 = sbuf1_i[2*j]; 1317 for (k=0; k<max1; k++,ct1++) { 1318 row = sbuf1_i[ct1]; 1319 row = rmap_i[row]; 1320 ilen = imat_ilen[row]; 1321 mat_i = imat_i[row] + ashift; 1322 mat_a = imat_a + mat_i; 1323 mat_j = imat_j + mat_i; 1324 max2 = rbuf2_i[ct1]; 1325 for (l=0; l<max2; l++,ct2++) { 1326 if ((tcol = cmap_i[rbuf3_i[ct2]])) { 1327 *mat_j++ = tcol - (!ashift); 1328 *mat_a++ = rbuf4_i[ct2]; 1329 ilen++; 1330 } 1331 } 1332 imat_ilen[row] = ilen; 1333 } 1334 } 1335 } 1336 } 1337 ierr = PetscFree(r_status4);CHKERRQ(ierr); 1338 ierr = PetscFree(r_waits4);CHKERRQ(ierr); 1339 ierr = MPI_Waitall(nrqr,s_waits4,s_status4);CHKERRQ(ierr); 1340 ierr = PetscFree(s_waits4);CHKERRQ(ierr); 1341 ierr = PetscFree(s_status4);CHKERRQ(ierr); 1342 1343 /* Restore the indices */ 1344 for (i=0; i<ismax; i++) { 1345 ierr = ISRestoreIndices(isrow[i],irow+i);CHKERRQ(ierr); 1346 ierr = ISRestoreIndices(iscol[i],icol+i);CHKERRQ(ierr); 1347 } 1348 1349 /* Destroy allocated memory */ 1350 ierr = PetscFree(irow);CHKERRQ(ierr); 1351 ierr = PetscFree(w1);CHKERRQ(ierr); 1352 ierr = PetscFree(pa);CHKERRQ(ierr); 1353 1354 ierr = PetscFree(sbuf1);CHKERRQ(ierr); 1355 ierr = PetscFree(rbuf2);CHKERRQ(ierr); 1356 for (i=0; i<nrqr; ++i) { 1357 ierr = PetscFree(sbuf2[i]);CHKERRQ(ierr); 1358 } 1359 for (i=0; i<nrqs; ++i) { 1360 ierr = PetscFree(rbuf3[i]);CHKERRQ(ierr); 1361 ierr = PetscFree(rbuf4[i]);CHKERRQ(ierr); 1362 } 1363 1364 ierr = PetscFree(sbuf2);CHKERRQ(ierr); 1365 ierr = PetscFree(rbuf3);CHKERRQ(ierr); 1366 ierr = PetscFree(rbuf4);CHKERRQ(ierr); 1367 ierr = PetscFree(sbuf_aj[0]);CHKERRQ(ierr); 1368 ierr = PetscFree(sbuf_aj);CHKERRQ(ierr); 1369 ierr = PetscFree(sbuf_aa[0]);CHKERRQ(ierr); 1370 ierr = PetscFree(sbuf_aa);CHKERRQ(ierr); 1371 1372 ierr = PetscFree(cmap);CHKERRQ(ierr); 1373 ierr = PetscFree(rmap);CHKERRQ(ierr); 1374 ierr = PetscFree(lens);CHKERRQ(ierr); 1375 1376 for (i=0; i<ismax; i++) { 1377 ierr = MatAssemblyBegin(submats[i],MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1378 ierr = MatAssemblyEnd(submats[i],MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1379 } 1380 PetscFunctionReturn(0); 1381 } 1382 1383