1 2 /* 3 Routines to compute overlapping regions of a parallel MPI matrix. 4 Used for finding submatrices that were shared across processors. 5 */ 6 #include <../src/mat/impls/sbaij/mpi/mpisbaij.h> 7 #include <petscbt.h> 8 9 static PetscErrorCode MatIncreaseOverlap_MPISBAIJ_Once(Mat, PetscInt, IS *); 10 static PetscErrorCode MatIncreaseOverlap_MPISBAIJ_Local(Mat, PetscInt *, PetscInt, PetscInt *, PetscBT *); 11 12 PetscErrorCode MatIncreaseOverlap_MPISBAIJ(Mat C, PetscInt is_max, IS is[], PetscInt ov) { 13 PetscInt i, N = C->cmap->N, bs = C->rmap->bs, M = C->rmap->N, Mbs = M / bs, *nidx, isz, iov; 14 IS *is_new, *is_row; 15 Mat *submats; 16 Mat_MPISBAIJ *c = (Mat_MPISBAIJ *)C->data; 17 Mat_SeqSBAIJ *asub_i; 18 PetscBT table; 19 PetscInt *ai, brow, nz, nis, l, nmax, nstages_local, nstages, max_no, pos; 20 const PetscInt *idx; 21 PetscBool flg; 22 23 PetscFunctionBegin; 24 PetscCall(PetscMalloc1(is_max, &is_new)); 25 /* Convert the indices into block format */ 26 PetscCall(ISCompressIndicesGeneral(N, C->rmap->n, bs, is_max, is, is_new)); 27 PetscCheck(ov >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Negative overlap specified"); 28 29 /* ----- previous non-scalable implementation ----- */ 30 flg = PETSC_FALSE; 31 PetscCall(PetscOptionsHasName(NULL, NULL, "-IncreaseOverlap_old", &flg)); 32 if (flg) { /* previous non-scalable implementation */ 33 printf("use previous non-scalable implementation...\n"); 34 for (i = 0; i < ov; ++i) { PetscCall(MatIncreaseOverlap_MPISBAIJ_Once(C, is_max, is_new)); } 35 } else { /* implementation using modified BAIJ routines */ 36 37 PetscCall(PetscMalloc1(Mbs + 1, &nidx)); 38 PetscCall(PetscBTCreate(Mbs, &table)); /* for column search */ 39 40 /* Create is_row */ 41 PetscCall(PetscMalloc1(is_max, &is_row)); 42 PetscCall(ISCreateStride(PETSC_COMM_SELF, Mbs, 0, 1, &is_row[0])); 43 44 for (i = 1; i < is_max; i++) { is_row[i] = is_row[0]; /* reuse is_row[0] */ } 45 46 /* Allocate memory to hold all the submatrices - Modified from MatCreateSubMatrices_MPIBAIJ() */ 47 PetscCall(PetscMalloc1(is_max + 1, &submats)); 48 49 /* Determine the number of stages through which submatrices are done */ 50 nmax = 20 * 1000000 / (c->Nbs * sizeof(PetscInt)); 51 if (!nmax) nmax = 1; 52 nstages_local = is_max / nmax + ((is_max % nmax) ? 1 : 0); 53 54 /* Make sure every processor loops through the nstages */ 55 PetscCall(MPIU_Allreduce(&nstages_local, &nstages, 1, MPIU_INT, MPI_MAX, PetscObjectComm((PetscObject)C))); 56 57 for (iov = 0; iov < ov; ++iov) { 58 /* 1) Get submats for column search */ 59 for (i = 0, pos = 0; i < nstages; i++) { 60 if (pos + nmax <= is_max) max_no = nmax; 61 else if (pos == is_max) max_no = 0; 62 else max_no = is_max - pos; 63 c->ijonly = PETSC_TRUE; /* only matrix data structures are requested */ 64 /* The resulting submatrices should be BAIJ, not SBAIJ, hence we change this value to trigger that */ 65 PetscCall(PetscStrcpy(((PetscObject)c->A)->type_name, MATSEQBAIJ)); 66 PetscCall(MatCreateSubMatrices_MPIBAIJ_local(C, max_no, is_row + pos, is_new + pos, MAT_INITIAL_MATRIX, submats + pos)); 67 PetscCall(PetscStrcpy(((PetscObject)c->A)->type_name, MATSEQSBAIJ)); 68 pos += max_no; 69 } 70 71 /* 2) Row search */ 72 PetscCall(MatIncreaseOverlap_MPIBAIJ_Once(C, is_max, is_new)); 73 74 /* 3) Column search */ 75 for (i = 0; i < is_max; i++) { 76 asub_i = (Mat_SeqSBAIJ *)submats[i]->data; 77 ai = asub_i->i; 78 79 /* put is_new obtained from MatIncreaseOverlap_MPIBAIJ() to table */ 80 PetscCall(PetscBTMemzero(Mbs, table)); 81 82 PetscCall(ISGetIndices(is_new[i], &idx)); 83 PetscCall(ISGetLocalSize(is_new[i], &nis)); 84 for (l = 0; l < nis; l++) { 85 PetscCall(PetscBTSet(table, idx[l])); 86 nidx[l] = idx[l]; 87 } 88 isz = nis; 89 90 /* add column entries to table */ 91 for (brow = 0; brow < Mbs; brow++) { 92 nz = ai[brow + 1] - ai[brow]; 93 if (nz) { 94 if (!PetscBTLookupSet(table, brow)) nidx[isz++] = brow; 95 } 96 } 97 PetscCall(ISRestoreIndices(is_new[i], &idx)); 98 PetscCall(ISDestroy(&is_new[i])); 99 100 /* create updated is_new */ 101 PetscCall(ISCreateGeneral(PETSC_COMM_SELF, isz, nidx, PETSC_COPY_VALUES, is_new + i)); 102 } 103 104 /* Free tmp spaces */ 105 for (i = 0; i < is_max; i++) { PetscCall(MatDestroy(&submats[i])); } 106 } 107 108 PetscCall(PetscBTDestroy(&table)); 109 PetscCall(PetscFree(submats)); 110 PetscCall(ISDestroy(&is_row[0])); 111 PetscCall(PetscFree(is_row)); 112 PetscCall(PetscFree(nidx)); 113 } 114 115 for (i = 0; i < is_max; i++) PetscCall(ISDestroy(&is[i])); 116 PetscCall(ISExpandIndicesGeneral(N, N, bs, is_max, is_new, is)); 117 118 for (i = 0; i < is_max; i++) PetscCall(ISDestroy(&is_new[i])); 119 PetscCall(PetscFree(is_new)); 120 PetscFunctionReturn(0); 121 } 122 123 typedef enum { 124 MINE, 125 OTHER 126 } WhoseOwner; 127 /* data1, odata1 and odata2 are packed in the format (for communication): 128 data[0] = is_max, no of is 129 data[1] = size of is[0] 130 ... 131 data[is_max] = size of is[is_max-1] 132 data[is_max + 1] = data(is[0]) 133 ... 134 data[is_max+1+sum(size of is[k]), k=0,...,i-1] = data(is[i]) 135 ... 136 data2 is packed in the format (for creating output is[]): 137 data[0] = is_max, no of is 138 data[1] = size of is[0] 139 ... 140 data[is_max] = size of is[is_max-1] 141 data[is_max + 1] = data(is[0]) 142 ... 143 data[is_max + 1 + Mbs*i) = data(is[i]) 144 ... 145 */ 146 static PetscErrorCode MatIncreaseOverlap_MPISBAIJ_Once(Mat C, PetscInt is_max, IS is[]) { 147 Mat_MPISBAIJ *c = (Mat_MPISBAIJ *)C->data; 148 PetscMPIInt size, rank, tag1, tag2, *len_s, nrqr, nrqs, *id_r1, *len_r1, flag, len, *iwork; 149 const PetscInt *idx_i; 150 PetscInt idx, isz, col, *n, *data1, **data1_start, *data2, *data2_i, *data, *data_i; 151 PetscInt Mbs, i, j, k, *odata1, *odata2; 152 PetscInt proc_id, **odata2_ptr, *ctable = NULL, *btable, len_max, len_est; 153 PetscInt proc_end = 0, len_unused, nodata2; 154 PetscInt ois_max; /* max no of is[] in each of processor */ 155 char *t_p; 156 MPI_Comm comm; 157 MPI_Request *s_waits1, *s_waits2, r_req; 158 MPI_Status *s_status, r_status; 159 PetscBT *table; /* mark indices of this processor's is[] */ 160 PetscBT table_i; 161 PetscBT otable; /* mark indices of other processors' is[] */ 162 PetscInt bs = C->rmap->bs, Bn = c->B->cmap->n, Bnbs = Bn / bs, *Bowners; 163 IS garray_local, garray_gl; 164 165 PetscFunctionBegin; 166 PetscCall(PetscObjectGetComm((PetscObject)C, &comm)); 167 size = c->size; 168 rank = c->rank; 169 Mbs = c->Mbs; 170 171 PetscCall(PetscObjectGetNewTag((PetscObject)C, &tag1)); 172 PetscCall(PetscObjectGetNewTag((PetscObject)C, &tag2)); 173 174 /* create tables used in 175 step 1: table[i] - mark c->garray of proc [i] 176 step 3: table[i] - mark indices of is[i] when whose=MINE 177 table[0] - mark incideces of is[] when whose=OTHER */ 178 len = PetscMax(is_max, size); 179 PetscCall(PetscMalloc2(len, &table, (Mbs / PETSC_BITS_PER_BYTE + 1) * len, &t_p)); 180 for (i = 0; i < len; i++) { table[i] = t_p + (Mbs / PETSC_BITS_PER_BYTE + 1) * i; } 181 182 PetscCall(MPIU_Allreduce(&is_max, &ois_max, 1, MPIU_INT, MPI_MAX, comm)); 183 184 /* 1. Send this processor's is[] to other processors */ 185 /*---------------------------------------------------*/ 186 /* allocate spaces */ 187 PetscCall(PetscMalloc1(is_max, &n)); 188 len = 0; 189 for (i = 0; i < is_max; i++) { 190 PetscCall(ISGetLocalSize(is[i], &n[i])); 191 len += n[i]; 192 } 193 if (!len) { 194 is_max = 0; 195 } else { 196 len += 1 + is_max; /* max length of data1 for one processor */ 197 } 198 199 PetscCall(PetscMalloc1(size * len + 1, &data1)); 200 PetscCall(PetscMalloc1(size, &data1_start)); 201 for (i = 0; i < size; i++) data1_start[i] = data1 + i * len; 202 203 PetscCall(PetscMalloc4(size, &len_s, size, &btable, size, &iwork, size + 1, &Bowners)); 204 205 /* gather c->garray from all processors */ 206 PetscCall(ISCreateGeneral(comm, Bnbs, c->garray, PETSC_COPY_VALUES, &garray_local)); 207 PetscCall(ISAllGather(garray_local, &garray_gl)); 208 PetscCall(ISDestroy(&garray_local)); 209 PetscCallMPI(MPI_Allgather(&Bnbs, 1, MPIU_INT, Bowners + 1, 1, MPIU_INT, comm)); 210 211 Bowners[0] = 0; 212 for (i = 0; i < size; i++) Bowners[i + 1] += Bowners[i]; 213 214 if (is_max) { 215 /* hash table ctable which maps c->row to proc_id) */ 216 PetscCall(PetscMalloc1(Mbs, &ctable)); 217 for (proc_id = 0, j = 0; proc_id < size; proc_id++) { 218 for (; j < C->rmap->range[proc_id + 1] / bs; j++) ctable[j] = proc_id; 219 } 220 221 /* hash tables marking c->garray */ 222 PetscCall(ISGetIndices(garray_gl, &idx_i)); 223 for (i = 0; i < size; i++) { 224 table_i = table[i]; 225 PetscCall(PetscBTMemzero(Mbs, table_i)); 226 for (j = Bowners[i]; j < Bowners[i + 1]; j++) { /* go through B cols of proc[i]*/ 227 PetscCall(PetscBTSet(table_i, idx_i[j])); 228 } 229 } 230 PetscCall(ISRestoreIndices(garray_gl, &idx_i)); 231 } /* if (is_max) */ 232 PetscCall(ISDestroy(&garray_gl)); 233 234 /* evaluate communication - mesg to who, length, and buffer space */ 235 for (i = 0; i < size; i++) len_s[i] = 0; 236 237 /* header of data1 */ 238 for (proc_id = 0; proc_id < size; proc_id++) { 239 iwork[proc_id] = 0; 240 *data1_start[proc_id] = is_max; 241 data1_start[proc_id]++; 242 for (j = 0; j < is_max; j++) { 243 if (proc_id == rank) { 244 *data1_start[proc_id] = n[j]; 245 } else { 246 *data1_start[proc_id] = 0; 247 } 248 data1_start[proc_id]++; 249 } 250 } 251 252 for (i = 0; i < is_max; i++) { 253 PetscCall(ISGetIndices(is[i], &idx_i)); 254 for (j = 0; j < n[i]; j++) { 255 idx = idx_i[j]; 256 *data1_start[rank] = idx; 257 data1_start[rank]++; /* for local proccessing */ 258 proc_end = ctable[idx]; 259 for (proc_id = 0; proc_id <= proc_end; proc_id++) { /* for others to process */ 260 if (proc_id == rank) continue; /* done before this loop */ 261 if (proc_id < proc_end && !PetscBTLookup(table[proc_id], idx)) continue; /* no need for sending idx to [proc_id] */ 262 *data1_start[proc_id] = idx; 263 data1_start[proc_id]++; 264 len_s[proc_id]++; 265 } 266 } 267 /* update header data */ 268 for (proc_id = 0; proc_id < size; proc_id++) { 269 if (proc_id == rank) continue; 270 *(data1 + proc_id * len + 1 + i) = len_s[proc_id] - iwork[proc_id]; 271 iwork[proc_id] = len_s[proc_id]; 272 } 273 PetscCall(ISRestoreIndices(is[i], &idx_i)); 274 } 275 276 nrqs = 0; 277 nrqr = 0; 278 for (i = 0; i < size; i++) { 279 data1_start[i] = data1 + i * len; 280 if (len_s[i]) { 281 nrqs++; 282 len_s[i] += 1 + is_max; /* add no. of header msg */ 283 } 284 } 285 286 for (i = 0; i < is_max; i++) { PetscCall(ISDestroy(&is[i])); } 287 PetscCall(PetscFree(n)); 288 PetscCall(PetscFree(ctable)); 289 290 /* Determine the number of messages to expect, their lengths, from from-ids */ 291 PetscCall(PetscGatherNumberOfMessages(comm, NULL, len_s, &nrqr)); 292 PetscCall(PetscGatherMessageLengths(comm, nrqs, nrqr, len_s, &id_r1, &len_r1)); 293 294 /* Now post the sends */ 295 PetscCall(PetscMalloc2(size, &s_waits1, size, &s_waits2)); 296 k = 0; 297 for (proc_id = 0; proc_id < size; proc_id++) { /* send data1 to processor [proc_id] */ 298 if (len_s[proc_id]) { 299 PetscCallMPI(MPI_Isend(data1_start[proc_id], len_s[proc_id], MPIU_INT, proc_id, tag1, comm, s_waits1 + k)); 300 k++; 301 } 302 } 303 304 /* 2. Receive other's is[] and process. Then send back */ 305 /*-----------------------------------------------------*/ 306 len = 0; 307 for (i = 0; i < nrqr; i++) { 308 if (len_r1[i] > len) len = len_r1[i]; 309 } 310 PetscCall(PetscFree(len_r1)); 311 PetscCall(PetscFree(id_r1)); 312 313 for (proc_id = 0; proc_id < size; proc_id++) len_s[proc_id] = iwork[proc_id] = 0; 314 315 PetscCall(PetscMalloc1(len + 1, &odata1)); 316 PetscCall(PetscMalloc1(size, &odata2_ptr)); 317 PetscCall(PetscBTCreate(Mbs, &otable)); 318 319 len_max = ois_max * (Mbs + 1); /* max space storing all is[] for each receive */ 320 len_est = 2 * len_max; /* estimated space of storing is[] for all receiving messages */ 321 PetscCall(PetscMalloc1(len_est + 1, &odata2)); 322 nodata2 = 0; /* nodata2+1: num of PetscMalloc(,&odata2_ptr[]) called */ 323 324 odata2_ptr[nodata2] = odata2; 325 326 len_unused = len_est; /* unused space in the array odata2_ptr[nodata2]-- needs to be >= len_max */ 327 328 k = 0; 329 while (k < nrqr) { 330 /* Receive messages */ 331 PetscCallMPI(MPI_Iprobe(MPI_ANY_SOURCE, tag1, comm, &flag, &r_status)); 332 if (flag) { 333 PetscCallMPI(MPI_Get_count(&r_status, MPIU_INT, &len)); 334 proc_id = r_status.MPI_SOURCE; 335 PetscCallMPI(MPI_Irecv(odata1, len, MPIU_INT, proc_id, r_status.MPI_TAG, comm, &r_req)); 336 PetscCallMPI(MPI_Wait(&r_req, &r_status)); 337 338 /* Process messages */ 339 /* make sure there is enough unused space in odata2 array */ 340 if (len_unused < len_max) { /* allocate more space for odata2 */ 341 PetscCall(PetscMalloc1(len_est + 1, &odata2)); 342 343 odata2_ptr[++nodata2] = odata2; 344 345 len_unused = len_est; 346 } 347 348 PetscCall(MatIncreaseOverlap_MPISBAIJ_Local(C, odata1, OTHER, odata2, &otable)); 349 len = 1 + odata2[0]; 350 for (i = 0; i < odata2[0]; i++) len += odata2[1 + i]; 351 352 /* Send messages back */ 353 PetscCallMPI(MPI_Isend(odata2, len, MPIU_INT, proc_id, tag2, comm, s_waits2 + k)); 354 k++; 355 odata2 += len; 356 len_unused -= len; 357 len_s[proc_id] = len; /* num of messages sending back to [proc_id] by this proc */ 358 } 359 } 360 PetscCall(PetscFree(odata1)); 361 PetscCall(PetscBTDestroy(&otable)); 362 363 /* 3. Do local work on this processor's is[] */ 364 /*-------------------------------------------*/ 365 /* make sure there is enough unused space in odata2(=data) array */ 366 len_max = is_max * (Mbs + 1); /* max space storing all is[] for this processor */ 367 if (len_unused < len_max) { /* allocate more space for odata2 */ 368 PetscCall(PetscMalloc1(len_est + 1, &odata2)); 369 370 odata2_ptr[++nodata2] = odata2; 371 } 372 373 data = odata2; 374 PetscCall(MatIncreaseOverlap_MPISBAIJ_Local(C, data1_start[rank], MINE, data, table)); 375 PetscCall(PetscFree(data1_start)); 376 377 /* 4. Receive work done on other processors, then merge */ 378 /*------------------------------------------------------*/ 379 /* get max number of messages that this processor expects to recv */ 380 PetscCall(MPIU_Allreduce(len_s, iwork, size, MPI_INT, MPI_MAX, comm)); 381 PetscCall(PetscMalloc1(iwork[rank] + 1, &data2)); 382 PetscCall(PetscFree4(len_s, btable, iwork, Bowners)); 383 384 k = 0; 385 while (k < nrqs) { 386 /* Receive messages */ 387 PetscCallMPI(MPI_Iprobe(MPI_ANY_SOURCE, tag2, comm, &flag, &r_status)); 388 if (flag) { 389 PetscCallMPI(MPI_Get_count(&r_status, MPIU_INT, &len)); 390 391 proc_id = r_status.MPI_SOURCE; 392 393 PetscCallMPI(MPI_Irecv(data2, len, MPIU_INT, proc_id, r_status.MPI_TAG, comm, &r_req)); 394 PetscCallMPI(MPI_Wait(&r_req, &r_status)); 395 if (len > 1 + is_max) { /* Add data2 into data */ 396 data2_i = data2 + 1 + is_max; 397 for (i = 0; i < is_max; i++) { 398 table_i = table[i]; 399 data_i = data + 1 + is_max + Mbs * i; 400 isz = data[1 + i]; 401 for (j = 0; j < data2[1 + i]; j++) { 402 col = data2_i[j]; 403 if (!PetscBTLookupSet(table_i, col)) data_i[isz++] = col; 404 } 405 data[1 + i] = isz; 406 if (i < is_max - 1) data2_i += data2[1 + i]; 407 } 408 } 409 k++; 410 } 411 } 412 PetscCall(PetscFree(data2)); 413 PetscCall(PetscFree2(table, t_p)); 414 415 /* phase 1 sends are complete */ 416 PetscCall(PetscMalloc1(size, &s_status)); 417 if (nrqs) PetscCallMPI(MPI_Waitall(nrqs, s_waits1, s_status)); 418 PetscCall(PetscFree(data1)); 419 420 /* phase 2 sends are complete */ 421 if (nrqr) PetscCallMPI(MPI_Waitall(nrqr, s_waits2, s_status)); 422 PetscCall(PetscFree2(s_waits1, s_waits2)); 423 PetscCall(PetscFree(s_status)); 424 425 /* 5. Create new is[] */ 426 /*--------------------*/ 427 for (i = 0; i < is_max; i++) { 428 data_i = data + 1 + is_max + Mbs * i; 429 PetscCall(ISCreateGeneral(PETSC_COMM_SELF, data[1 + i], data_i, PETSC_COPY_VALUES, is + i)); 430 } 431 for (k = 0; k <= nodata2; k++) { PetscCall(PetscFree(odata2_ptr[k])); } 432 PetscCall(PetscFree(odata2_ptr)); 433 PetscFunctionReturn(0); 434 } 435 436 /* 437 MatIncreaseOverlap_MPISBAIJ_Local - Called by MatIncreaseOverlap, to do 438 the work on the local processor. 439 440 Inputs: 441 C - MAT_MPISBAIJ; 442 data - holds is[]. See MatIncreaseOverlap_MPISBAIJ_Once() for the format. 443 whose - whose is[] to be processed, 444 MINE: this processor's is[] 445 OTHER: other processor's is[] 446 Output: 447 nidx - whose = MINE: 448 holds input and newly found indices in the same format as data 449 whose = OTHER: 450 only holds the newly found indices 451 table - table[i]: mark the indices of is[i], i=0,...,is_max. Used only in the case 'whose=MINE'. 452 */ 453 /* Would computation be reduced by swapping the loop 'for each is' and 'for each row'? */ 454 static PetscErrorCode MatIncreaseOverlap_MPISBAIJ_Local(Mat C, PetscInt *data, PetscInt whose, PetscInt *nidx, PetscBT *table) { 455 Mat_MPISBAIJ *c = (Mat_MPISBAIJ *)C->data; 456 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)(c->A)->data; 457 Mat_SeqBAIJ *b = (Mat_SeqBAIJ *)(c->B)->data; 458 PetscInt row, mbs, Mbs, *nidx_i, col, col_max, isz, isz0, *ai, *aj, *bi, *bj, *garray, rstart, l; 459 PetscInt a_start, a_end, b_start, b_end, i, j, k, is_max, *idx_i, n; 460 PetscBT table0; /* mark the indices of input is[] for look up */ 461 PetscBT table_i; /* poits to i-th table. When whose=OTHER, a single table is used for all is[] */ 462 463 PetscFunctionBegin; 464 Mbs = c->Mbs; 465 mbs = a->mbs; 466 ai = a->i; 467 aj = a->j; 468 bi = b->i; 469 bj = b->j; 470 garray = c->garray; 471 rstart = c->rstartbs; 472 is_max = data[0]; 473 474 PetscCall(PetscBTCreate(Mbs, &table0)); 475 476 nidx[0] = is_max; 477 idx_i = data + is_max + 1; /* ptr to input is[0] array */ 478 nidx_i = nidx + is_max + 1; /* ptr to output is[0] array */ 479 for (i = 0; i < is_max; i++) { /* for each is */ 480 isz = 0; 481 n = data[1 + i]; /* size of input is[i] */ 482 483 /* initialize and set table_i(mark idx and nidx) and table0(only mark idx) */ 484 if (whose == MINE) { /* process this processor's is[] */ 485 table_i = table[i]; 486 nidx_i = nidx + 1 + is_max + Mbs * i; 487 } else { /* process other processor's is[] - only use one temp table */ 488 table_i = table[0]; 489 } 490 PetscCall(PetscBTMemzero(Mbs, table_i)); 491 PetscCall(PetscBTMemzero(Mbs, table0)); 492 if (n == 0) { 493 nidx[1 + i] = 0; /* size of new is[i] */ 494 continue; 495 } 496 497 isz0 = 0; 498 col_max = 0; 499 for (j = 0; j < n; j++) { 500 col = idx_i[j]; 501 PetscCheck(col < Mbs, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "index col %" PetscInt_FMT " >= Mbs %" PetscInt_FMT, col, Mbs); 502 if (!PetscBTLookupSet(table_i, col)) { 503 PetscCall(PetscBTSet(table0, col)); 504 if (whose == MINE) nidx_i[isz0] = col; 505 if (col_max < col) col_max = col; 506 isz0++; 507 } 508 } 509 510 if (whose == MINE) isz = isz0; 511 k = 0; /* no. of indices from input is[i] that have been examined */ 512 for (row = 0; row < mbs; row++) { 513 a_start = ai[row]; 514 a_end = ai[row + 1]; 515 b_start = bi[row]; 516 b_end = bi[row + 1]; 517 if (PetscBTLookup(table0, row + rstart)) { /* row is on input is[i]: 518 do row search: collect all col in this row */ 519 for (l = a_start; l < a_end; l++) { /* Amat */ 520 col = aj[l] + rstart; 521 if (!PetscBTLookupSet(table_i, col)) nidx_i[isz++] = col; 522 } 523 for (l = b_start; l < b_end; l++) { /* Bmat */ 524 col = garray[bj[l]]; 525 if (!PetscBTLookupSet(table_i, col)) nidx_i[isz++] = col; 526 } 527 k++; 528 if (k >= isz0) break; /* for (row=0; row<mbs; row++) */ 529 } else { /* row is not on input is[i]: 530 do col serach: add row onto nidx_i if there is a col in nidx_i */ 531 for (l = a_start; l < a_end; l++) { /* Amat */ 532 col = aj[l] + rstart; 533 if (col > col_max) break; 534 if (PetscBTLookup(table0, col)) { 535 if (!PetscBTLookupSet(table_i, row + rstart)) nidx_i[isz++] = row + rstart; 536 break; /* for l = start; l<end ; l++) */ 537 } 538 } 539 for (l = b_start; l < b_end; l++) { /* Bmat */ 540 col = garray[bj[l]]; 541 if (col > col_max) break; 542 if (PetscBTLookup(table0, col)) { 543 if (!PetscBTLookupSet(table_i, row + rstart)) nidx_i[isz++] = row + rstart; 544 break; /* for l = start; l<end ; l++) */ 545 } 546 } 547 } 548 } 549 550 if (i < is_max - 1) { 551 idx_i += n; /* ptr to input is[i+1] array */ 552 nidx_i += isz; /* ptr to output is[i+1] array */ 553 } 554 nidx[1 + i] = isz; /* size of new is[i] */ 555 } /* for each is */ 556 PetscCall(PetscBTDestroy(&table0)); 557 PetscFunctionReturn(0); 558 } 559