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 #undef __FUNCT__ 13 #define __FUNCT__ "MatIncreaseOverlap_MPISBAIJ" 14 PetscErrorCode MatIncreaseOverlap_MPISBAIJ(Mat C,PetscInt is_max,IS is[],PetscInt ov) 15 { 16 PetscErrorCode ierr; 17 PetscInt i,N=C->cmap->N, bs=C->rmap->bs,M=C->rmap->N,Mbs=M/bs,*nidx,isz,iov; 18 IS *is_new,*is_row; 19 Mat *submats; 20 Mat_MPISBAIJ *c=(Mat_MPISBAIJ*)C->data; 21 Mat_SeqSBAIJ *asub_i; 22 PetscBT table; 23 PetscInt *ai,brow,nz,nis,l,nmax,nstages_local,nstages,max_no,pos; 24 const PetscInt *idx; 25 PetscBool flg; 26 27 PetscFunctionBegin; 28 ierr = PetscMalloc(is_max*sizeof(IS),&is_new);CHKERRQ(ierr); 29 /* Convert the indices into block format */ 30 ierr = ISCompressIndicesGeneral(N,bs,is_max,is,is_new);CHKERRQ(ierr); 31 if (ov < 0){ SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Negative overlap specified\n");} 32 33 /* ----- previous non-scalable implementation ----- */ 34 flg=PETSC_FALSE; 35 ierr = PetscOptionsHasName(PETSC_NULL, "-IncreaseOverlap_old", &flg);CHKERRQ(ierr); 36 if (flg){ /* previous non-scalable implementation */ 37 printf("use previous non-scalable implementation...\n"); 38 for (i=0; i<ov; ++i) { 39 ierr = MatIncreaseOverlap_MPISBAIJ_Once(C,is_max,is_new);CHKERRQ(ierr); 40 } 41 } else { /* scalable implementation using modified BAIJ routines */ 42 43 ierr = PetscMalloc((Mbs+1)*sizeof(PetscInt),&nidx);CHKERRQ(ierr); 44 ierr = PetscBTCreate(Mbs,table);CHKERRQ(ierr); /* for column search */ 45 46 /* Create is_row */ 47 ierr = PetscMalloc(is_max*sizeof(IS **),&is_row);CHKERRQ(ierr); 48 ierr = ISCreateStride(PETSC_COMM_SELF,Mbs,0,1,&is_row[0]);CHKERRQ(ierr); 49 for (i=1; i<is_max; i++) is_row[i] = is_row[0]; /* reuse is_row[0] */ 50 51 /* Allocate memory to hold all the submatrices - Modified from MatGetSubMatrices_MPIBAIJ() */ 52 ierr = PetscMalloc((is_max+1)*sizeof(Mat),&submats);CHKERRQ(ierr); 53 54 /* Determine the number of stages through which submatrices are done */ 55 nmax = 20*1000000 / (c->Nbs * sizeof(PetscInt)); 56 if (!nmax) nmax = 1; 57 nstages_local = is_max/nmax + ((is_max % nmax)?1:0); 58 59 /* Make sure every processor loops through the nstages */ 60 ierr = MPI_Allreduce(&nstages_local,&nstages,1,MPIU_INT,MPI_MAX,((PetscObject)C)->comm);CHKERRQ(ierr); 61 62 for (iov=0; iov<ov; ++iov) { 63 /* 1) Get submats for column search */ 64 for (i=0,pos=0; i<nstages; i++) { 65 if (pos+nmax <= is_max) max_no = nmax; 66 else if (pos == is_max) max_no = 0; 67 else max_no = is_max-pos; 68 69 c->ijonly = PETSC_TRUE; 70 ierr = MatGetSubMatrices_MPIBAIJ_local(C,max_no,is_row+pos,is_new+pos,MAT_INITIAL_MATRIX,submats+pos);CHKERRQ(ierr); 71 pos += max_no; 72 } 73 74 /* 2) Row search */ 75 ierr = MatIncreaseOverlap_MPIBAIJ_Once(C,is_max,is_new);CHKERRQ(ierr); 76 77 /* 3) Column search */ 78 for (i=0; i<is_max; i++){ 79 asub_i = (Mat_SeqSBAIJ*)submats[i]->data; 80 ai=asub_i->i;; 81 82 /* put is_new obtained from MatIncreaseOverlap_MPIBAIJ() to table */ 83 ierr = PetscBTMemzero(Mbs,table);CHKERRQ(ierr); 84 85 ierr = ISGetIndices(is_new[i],&idx);CHKERRQ(ierr); 86 ierr = ISGetLocalSize(is_new[i],&nis);CHKERRQ(ierr); 87 for (l=0; l<nis; l++) { 88 ierr = PetscBTSet(table,idx[l]);CHKERRQ(ierr); 89 nidx[l] = idx[l]; 90 } 91 isz = nis; 92 93 /* add column entries to table */ 94 for (brow=0; brow<Mbs; brow++){ 95 nz = ai[brow+1] - ai[brow]; 96 if (nz) { 97 if (!PetscBTLookupSet(table,brow)) nidx[isz++] = brow; 98 } 99 } 100 ierr = ISRestoreIndices(is_new[i],&idx);CHKERRQ(ierr); 101 ierr = ISDestroy(&is_new[i]);CHKERRQ(ierr); 102 103 /* create updated is_new */ 104 ierr = ISCreateGeneral(PETSC_COMM_SELF,isz,nidx,PETSC_COPY_VALUES,is_new+i);CHKERRQ(ierr); 105 } 106 107 /* Free tmp spaces */ 108 for (i=0; i<is_max; i++){ 109 ierr = MatDestroy(&submats[i]);CHKERRQ(ierr); 110 } 111 } 112 113 ierr = PetscBTDestroy(table);CHKERRQ(ierr); 114 ierr = PetscFree(submats);CHKERRQ(ierr); 115 ierr = ISDestroy(&is_row[0]);CHKERRQ(ierr); 116 ierr = PetscFree(is_row);CHKERRQ(ierr); 117 ierr = PetscFree(nidx);CHKERRQ(ierr); 118 119 } 120 121 for (i=0; i<is_max; i++) {ierr = ISDestroy(&is[i]);CHKERRQ(ierr);} 122 ierr = ISExpandIndicesGeneral(N,bs,is_max,is_new,is);CHKERRQ(ierr); 123 124 for (i=0; i<is_max; i++) {ierr = ISDestroy(&is_new[i]);CHKERRQ(ierr);} 125 ierr = PetscFree(is_new);CHKERRQ(ierr); 126 PetscFunctionReturn(0); 127 } 128 129 typedef enum {MINE,OTHER} WhoseOwner; 130 /* data1, odata1 and odata2 are packed in the format (for communication): 131 data[0] = is_max, no of is 132 data[1] = size of is[0] 133 ... 134 data[is_max] = size of is[is_max-1] 135 data[is_max + 1] = data(is[0]) 136 ... 137 data[is_max+1+sum(size of is[k]), k=0,...,i-1] = data(is[i]) 138 ... 139 data2 is packed in the format (for creating output is[]): 140 data[0] = is_max, no of is 141 data[1] = size of is[0] 142 ... 143 data[is_max] = size of is[is_max-1] 144 data[is_max + 1] = data(is[0]) 145 ... 146 data[is_max + 1 + Mbs*i) = data(is[i]) 147 ... 148 */ 149 #undef __FUNCT__ 150 #define __FUNCT__ "MatIncreaseOverlap_MPISBAIJ_Once" 151 static PetscErrorCode MatIncreaseOverlap_MPISBAIJ_Once(Mat C,PetscInt is_max,IS is[]) 152 { 153 Mat_MPISBAIJ *c = (Mat_MPISBAIJ*)C->data; 154 PetscErrorCode ierr; 155 PetscMPIInt size,rank,tag1,tag2,*len_s,nrqr,nrqs,*id_r1,*len_r1,flag,len; 156 const PetscInt *idx_i; 157 PetscInt idx,isz,col,*n,*data1,**data1_start,*data2,*data2_i,*data,*data_i, 158 Mbs,i,j,k,*odata1,*odata2, 159 proc_id,**odata2_ptr,*ctable=0,*btable,len_max,len_est; 160 PetscInt proc_end=0,*iwork,len_unused,nodata2; 161 PetscInt ois_max; /* max no of is[] in each of processor */ 162 char *t_p; 163 MPI_Comm comm; 164 MPI_Request *s_waits1,*s_waits2,r_req; 165 MPI_Status *s_status,r_status; 166 PetscBT *table; /* mark indices of this processor's is[] */ 167 PetscBT table_i; 168 PetscBT otable; /* mark indices of other processors' is[] */ 169 PetscInt bs=C->rmap->bs,Bn = c->B->cmap->n,Bnbs = Bn/bs,*Bowners; 170 IS garray_local,garray_gl; 171 172 PetscFunctionBegin; 173 comm = ((PetscObject)C)->comm; 174 size = c->size; 175 rank = c->rank; 176 Mbs = c->Mbs; 177 178 ierr = PetscObjectGetNewTag((PetscObject)C,&tag1);CHKERRQ(ierr); 179 ierr = PetscObjectGetNewTag((PetscObject)C,&tag2);CHKERRQ(ierr); 180 181 /* create tables used in 182 step 1: table[i] - mark c->garray of proc [i] 183 step 3: table[i] - mark indices of is[i] when whose=MINE 184 table[0] - mark incideces of is[] when whose=OTHER */ 185 len = PetscMax(is_max, size);CHKERRQ(ierr); 186 ierr = PetscMalloc2(len,PetscBT,&table,(Mbs/PETSC_BITS_PER_BYTE+1)*len,char,&t_p);CHKERRQ(ierr); 187 for (i=0; i<len; i++) { 188 table[i] = t_p + (Mbs/PETSC_BITS_PER_BYTE+1)*i; 189 } 190 191 ierr = MPI_Allreduce(&is_max,&ois_max,1,MPIU_INT,MPI_MAX,comm);CHKERRQ(ierr); 192 193 /* 1. Send this processor's is[] to other processors */ 194 /*---------------------------------------------------*/ 195 /* allocate spaces */ 196 ierr = PetscMalloc(is_max*sizeof(PetscInt),&n);CHKERRQ(ierr); 197 len = 0; 198 for (i=0; i<is_max; i++) { 199 ierr = ISGetLocalSize(is[i],&n[i]);CHKERRQ(ierr); 200 len += n[i]; 201 } 202 if (!len) { 203 is_max = 0; 204 } else { 205 len += 1 + is_max; /* max length of data1 for one processor */ 206 } 207 208 209 ierr = PetscMalloc((size*len+1)*sizeof(PetscInt),&data1);CHKERRQ(ierr); 210 ierr = PetscMalloc(size*sizeof(PetscInt*),&data1_start);CHKERRQ(ierr); 211 for (i=0; i<size; i++) data1_start[i] = data1 + i*len; 212 213 ierr = PetscMalloc4(size,PetscInt,&len_s,size,PetscInt,&btable,size,PetscInt,&iwork,size+1,PetscInt,&Bowners);CHKERRQ(ierr); 214 215 /* gather c->garray from all processors */ 216 ierr = ISCreateGeneral(comm,Bnbs,c->garray,PETSC_COPY_VALUES,&garray_local);CHKERRQ(ierr); 217 ierr = ISAllGather(garray_local, &garray_gl);CHKERRQ(ierr); 218 ierr = ISDestroy(&garray_local);CHKERRQ(ierr); 219 ierr = MPI_Allgather(&Bnbs,1,MPIU_INT,Bowners+1,1,MPIU_INT,comm);CHKERRQ(ierr); 220 Bowners[0] = 0; 221 for (i=0; i<size; i++) Bowners[i+1] += Bowners[i]; 222 223 if (is_max){ 224 /* hash table ctable which maps c->row to proc_id) */ 225 ierr = PetscMalloc(Mbs*sizeof(PetscInt),&ctable);CHKERRQ(ierr); 226 for (proc_id=0,j=0; proc_id<size; proc_id++) { 227 for (; j<C->rmap->range[proc_id+1]/bs; j++) { 228 ctable[j] = proc_id; 229 } 230 } 231 232 /* hash tables marking c->garray */ 233 ierr = ISGetIndices(garray_gl,&idx_i); 234 for (i=0; i<size; i++){ 235 table_i = table[i]; 236 ierr = PetscBTMemzero(Mbs,table_i);CHKERRQ(ierr); 237 for (j = Bowners[i]; j<Bowners[i+1]; j++){ /* go through B cols of proc[i]*/ 238 ierr = PetscBTSet(table_i,idx_i[j]);CHKERRQ(ierr); 239 } 240 } 241 ierr = ISRestoreIndices(garray_gl,&idx_i);CHKERRQ(ierr); 242 } /* if (is_max) */ 243 ierr = ISDestroy(&garray_gl);CHKERRQ(ierr); 244 245 /* evaluate communication - mesg to who, length, and buffer space */ 246 for (i=0; i<size; i++) len_s[i] = 0; 247 248 /* header of data1 */ 249 for (proc_id=0; proc_id<size; proc_id++){ 250 iwork[proc_id] = 0; 251 *data1_start[proc_id] = is_max; 252 data1_start[proc_id]++; 253 for (j=0; j<is_max; j++) { 254 if (proc_id == rank){ 255 *data1_start[proc_id] = n[j]; 256 } else { 257 *data1_start[proc_id] = 0; 258 } 259 data1_start[proc_id]++; 260 } 261 } 262 263 for (i=0; i<is_max; i++) { 264 ierr = ISGetIndices(is[i],&idx_i);CHKERRQ(ierr); 265 for (j=0; j<n[i]; j++){ 266 idx = idx_i[j]; 267 *data1_start[rank] = idx; data1_start[rank]++; /* for local proccessing */ 268 proc_end = ctable[idx]; 269 for (proc_id=0; proc_id<=proc_end; proc_id++){ /* for others to process */ 270 if (proc_id == rank ) continue; /* done before this loop */ 271 if (proc_id < proc_end && !PetscBTLookup(table[proc_id],idx)) 272 continue; /* no need for sending idx to [proc_id] */ 273 *data1_start[proc_id] = idx; data1_start[proc_id]++; 274 len_s[proc_id]++; 275 } 276 } 277 /* update header data */ 278 for (proc_id=0; proc_id<size; proc_id++){ 279 if (proc_id== rank) continue; 280 *(data1 + proc_id*len + 1 + i) = len_s[proc_id] - iwork[proc_id]; 281 iwork[proc_id] = len_s[proc_id] ; 282 } 283 ierr = ISRestoreIndices(is[i],&idx_i);CHKERRQ(ierr); 284 } 285 286 nrqs = 0; nrqr = 0; 287 for (i=0; i<size; i++){ 288 data1_start[i] = data1 + i*len; 289 if (len_s[i]){ 290 nrqs++; 291 len_s[i] += 1 + is_max; /* add no. of header msg */ 292 } 293 } 294 295 for (i=0; i<is_max; i++) { 296 ierr = ISDestroy(&is[i]);CHKERRQ(ierr); 297 } 298 ierr = PetscFree(n);CHKERRQ(ierr); 299 ierr = PetscFree(ctable);CHKERRQ(ierr); 300 301 /* Determine the number of messages to expect, their lengths, from from-ids */ 302 ierr = PetscGatherNumberOfMessages(comm,PETSC_NULL,len_s,&nrqr);CHKERRQ(ierr); 303 ierr = PetscGatherMessageLengths(comm,nrqs,nrqr,len_s,&id_r1,&len_r1);CHKERRQ(ierr); 304 305 /* Now post the sends */ 306 ierr = PetscMalloc2(size,MPI_Request,&s_waits1,size,MPI_Request,&s_waits2);CHKERRQ(ierr); 307 k = 0; 308 for (proc_id=0; proc_id<size; proc_id++){ /* send data1 to processor [proc_id] */ 309 if (len_s[proc_id]){ 310 ierr = MPI_Isend(data1_start[proc_id],len_s[proc_id],MPIU_INT,proc_id,tag1,comm,s_waits1+k);CHKERRQ(ierr); 311 k++; 312 } 313 } 314 315 /* 2. Receive other's is[] and process. Then send back */ 316 /*-----------------------------------------------------*/ 317 len = 0; 318 for (i=0; i<nrqr; i++){ 319 if (len_r1[i] > len)len = len_r1[i]; 320 } 321 ierr = PetscFree(len_r1);CHKERRQ(ierr); 322 ierr = PetscFree(id_r1);CHKERRQ(ierr); 323 324 for (proc_id=0; proc_id<size; proc_id++) 325 len_s[proc_id] = iwork[proc_id] = 0; 326 327 ierr = PetscMalloc((len+1)*sizeof(PetscInt),&odata1);CHKERRQ(ierr); 328 ierr = PetscMalloc(size*sizeof(PetscInt**),&odata2_ptr);CHKERRQ(ierr); 329 ierr = PetscBTCreate(Mbs,otable);CHKERRQ(ierr); 330 331 len_max = ois_max*(Mbs+1); /* max space storing all is[] for each receive */ 332 len_est = 2*len_max; /* estimated space of storing is[] for all receiving messages */ 333 ierr = PetscMalloc((len_est+1)*sizeof(PetscInt),&odata2);CHKERRQ(ierr); 334 nodata2 = 0; /* nodata2+1: num of PetscMalloc(,&odata2_ptr[]) called */ 335 odata2_ptr[nodata2] = odata2; 336 len_unused = len_est; /* unused space in the array odata2_ptr[nodata2]-- needs to be >= len_max */ 337 338 k = 0; 339 while (k < nrqr){ 340 /* Receive messages */ 341 ierr = MPI_Iprobe(MPI_ANY_SOURCE,tag1,comm,&flag,&r_status);CHKERRQ(ierr); 342 if (flag){ 343 ierr = MPI_Get_count(&r_status,MPIU_INT,&len);CHKERRQ(ierr); 344 proc_id = r_status.MPI_SOURCE; 345 ierr = MPI_Irecv(odata1,len,MPIU_INT,proc_id,r_status.MPI_TAG,comm,&r_req);CHKERRQ(ierr); 346 ierr = MPI_Wait(&r_req,&r_status);CHKERRQ(ierr); 347 348 /* Process messages */ 349 /* make sure there is enough unused space in odata2 array */ 350 if (len_unused < len_max){ /* allocate more space for odata2 */ 351 ierr = PetscMalloc((len_est+1)*sizeof(PetscInt),&odata2);CHKERRQ(ierr); 352 odata2_ptr[++nodata2] = odata2; 353 len_unused = len_est; 354 } 355 356 ierr = MatIncreaseOverlap_MPISBAIJ_Local(C,odata1,OTHER,odata2,&otable);CHKERRQ(ierr); 357 len = 1 + odata2[0]; 358 for (i=0; i<odata2[0]; i++){ 359 len += odata2[1 + i]; 360 } 361 362 /* Send messages back */ 363 ierr = MPI_Isend(odata2,len,MPIU_INT,proc_id,tag2,comm,s_waits2+k);CHKERRQ(ierr); 364 k++; 365 odata2 += len; 366 len_unused -= len; 367 len_s[proc_id] = len; /* num of messages sending back to [proc_id] by this proc */ 368 } 369 } 370 ierr = PetscFree(odata1);CHKERRQ(ierr); 371 ierr = PetscBTDestroy(otable);CHKERRQ(ierr); 372 373 /* 3. Do local work on this processor's is[] */ 374 /*-------------------------------------------*/ 375 /* make sure there is enough unused space in odata2(=data) array */ 376 len_max = is_max*(Mbs+1); /* max space storing all is[] for this processor */ 377 if (len_unused < len_max){ /* allocate more space for odata2 */ 378 ierr = PetscMalloc((len_est+1)*sizeof(PetscInt),&odata2);CHKERRQ(ierr); 379 odata2_ptr[++nodata2] = odata2; 380 len_unused = len_est; 381 } 382 383 data = odata2; 384 ierr = MatIncreaseOverlap_MPISBAIJ_Local(C,data1_start[rank],MINE,data,table);CHKERRQ(ierr); 385 ierr = PetscFree(data1_start);CHKERRQ(ierr); 386 387 /* 4. Receive work done on other processors, then merge */ 388 /*------------------------------------------------------*/ 389 /* get max number of messages that this processor expects to recv */ 390 ierr = MPI_Allreduce(len_s,iwork,size,MPIU_INT,MPI_MAX,comm);CHKERRQ(ierr); 391 ierr = PetscMalloc((iwork[rank]+1)*sizeof(PetscInt),&data2);CHKERRQ(ierr); 392 ierr = PetscFree4(len_s,btable,iwork,Bowners);CHKERRQ(ierr); 393 394 k = 0; 395 while (k < nrqs){ 396 /* Receive messages */ 397 ierr = MPI_Iprobe(MPI_ANY_SOURCE,tag2,comm,&flag,&r_status); 398 if (flag){ 399 ierr = MPI_Get_count(&r_status,MPIU_INT,&len);CHKERRQ(ierr); 400 proc_id = r_status.MPI_SOURCE; 401 ierr = MPI_Irecv(data2,len,MPIU_INT,proc_id,r_status.MPI_TAG,comm,&r_req);CHKERRQ(ierr); 402 ierr = MPI_Wait(&r_req,&r_status);CHKERRQ(ierr); 403 if (len > 1+is_max){ /* Add data2 into data */ 404 data2_i = data2 + 1 + is_max; 405 for (i=0; i<is_max; i++){ 406 table_i = table[i]; 407 data_i = data + 1 + is_max + Mbs*i; 408 isz = data[1+i]; 409 for (j=0; j<data2[1+i]; j++){ 410 col = data2_i[j]; 411 if (!PetscBTLookupSet(table_i,col)) {data_i[isz++] = col;} 412 } 413 data[1+i] = isz; 414 if (i < is_max - 1) data2_i += data2[1+i]; 415 } 416 } 417 k++; 418 } 419 } 420 ierr = PetscFree(data2);CHKERRQ(ierr); 421 ierr = PetscFree2(table,t_p);CHKERRQ(ierr); 422 423 /* phase 1 sends are complete */ 424 ierr = PetscMalloc(size*sizeof(MPI_Status),&s_status);CHKERRQ(ierr); 425 if (nrqs) {ierr = MPI_Waitall(nrqs,s_waits1,s_status);CHKERRQ(ierr);} 426 ierr = PetscFree(data1);CHKERRQ(ierr); 427 428 /* phase 2 sends are complete */ 429 if (nrqr){ierr = MPI_Waitall(nrqr,s_waits2,s_status);CHKERRQ(ierr);} 430 ierr = PetscFree2(s_waits1,s_waits2);CHKERRQ(ierr); 431 ierr = PetscFree(s_status);CHKERRQ(ierr); 432 433 /* 5. Create new is[] */ 434 /*--------------------*/ 435 for (i=0; i<is_max; i++) { 436 data_i = data + 1 + is_max + Mbs*i; 437 ierr = ISCreateGeneral(PETSC_COMM_SELF,data[1+i],data_i,PETSC_COPY_VALUES,is+i);CHKERRQ(ierr); 438 } 439 for (k=0; k<=nodata2; k++){ 440 ierr = PetscFree(odata2_ptr[k]);CHKERRQ(ierr); 441 } 442 ierr = PetscFree(odata2_ptr);CHKERRQ(ierr); 443 444 PetscFunctionReturn(0); 445 } 446 447 #undef __FUNCT__ 448 #define __FUNCT__ "MatIncreaseOverlap_MPISBAIJ_Local" 449 /* 450 MatIncreaseOverlap_MPISBAIJ_Local - Called by MatIncreaseOverlap, to do 451 the work on the local processor. 452 453 Inputs: 454 C - MAT_MPISBAIJ; 455 data - holds is[]. See MatIncreaseOverlap_MPISBAIJ_Once() for the format. 456 whose - whose is[] to be processed, 457 MINE: this processor's is[] 458 OTHER: other processor's is[] 459 Output: 460 nidx - whose = MINE: 461 holds input and newly found indices in the same format as data 462 whose = OTHER: 463 only holds the newly found indices 464 table - table[i]: mark the indices of is[i], i=0,...,is_max. Used only in the case 'whose=MINE'. 465 */ 466 /* Would computation be reduced by swapping the loop 'for each is' and 'for each row'? */ 467 static PetscErrorCode MatIncreaseOverlap_MPISBAIJ_Local(Mat C,PetscInt *data,PetscInt whose,PetscInt *nidx,PetscBT *table) 468 { 469 Mat_MPISBAIJ *c = (Mat_MPISBAIJ*)C->data; 470 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)(c->A)->data; 471 Mat_SeqBAIJ *b = (Mat_SeqBAIJ*)(c->B)->data; 472 PetscErrorCode ierr; 473 PetscInt row,mbs,Mbs,*nidx_i,col,col_max,isz,isz0,*ai,*aj,*bi,*bj,*garray,rstart,l; 474 PetscInt a_start,a_end,b_start,b_end,i,j,k,is_max,*idx_i,n; 475 PetscBT table0; /* mark the indices of input is[] for look up */ 476 PetscBT table_i; /* poits to i-th table. When whose=OTHER, a single table is used for all is[] */ 477 478 PetscFunctionBegin; 479 Mbs = c->Mbs; mbs = a->mbs; 480 ai = a->i; aj = a->j; 481 bi = b->i; bj = b->j; 482 garray = c->garray; 483 rstart = c->rstartbs; 484 is_max = data[0]; 485 486 ierr = PetscBTCreate(Mbs,table0);CHKERRQ(ierr); 487 488 nidx[0] = is_max; 489 idx_i = data + is_max + 1; /* ptr to input is[0] array */ 490 nidx_i = nidx + is_max + 1; /* ptr to output is[0] array */ 491 for (i=0; i<is_max; i++) { /* for each is */ 492 isz = 0; 493 n = data[1+i]; /* size of input is[i] */ 494 495 /* initialize and set table_i(mark idx and nidx) and table0(only mark idx) */ 496 if (whose == MINE){ /* process this processor's is[] */ 497 table_i = table[i]; 498 nidx_i = nidx + 1+ is_max + Mbs*i; 499 } else { /* process other processor's is[] - only use one temp table */ 500 table_i = table[0]; 501 } 502 ierr = PetscBTMemzero(Mbs,table_i);CHKERRQ(ierr); 503 ierr = PetscBTMemzero(Mbs,table0);CHKERRQ(ierr); 504 if (n==0) { 505 nidx[1+i] = 0; /* size of new is[i] */ 506 continue; 507 } 508 509 isz0 = 0; col_max = 0; 510 for (j=0; j<n; j++){ 511 col = idx_i[j]; 512 if (col >= Mbs) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"index col %D >= Mbs %D",col,Mbs); 513 if(!PetscBTLookupSet(table_i,col)) { 514 ierr = PetscBTSet(table0,col);CHKERRQ(ierr); 515 if (whose == MINE) {nidx_i[isz0] = col;} 516 if (col_max < col) col_max = col; 517 isz0++; 518 } 519 } 520 521 if (whose == MINE) {isz = isz0;} 522 k = 0; /* no. of indices from input is[i] that have been examined */ 523 for (row=0; row<mbs; row++){ 524 a_start = ai[row]; a_end = ai[row+1]; 525 b_start = bi[row]; b_end = bi[row+1]; 526 if (PetscBTLookup(table0,row+rstart)){ /* row is on input is[i]: 527 do row search: collect all col in this row */ 528 for (l = a_start; l<a_end ; l++){ /* Amat */ 529 col = aj[l] + rstart; 530 if (!PetscBTLookupSet(table_i,col)) {nidx_i[isz++] = col;} 531 } 532 for (l = b_start; l<b_end ; l++){ /* Bmat */ 533 col = garray[bj[l]]; 534 if (!PetscBTLookupSet(table_i,col)) {nidx_i[isz++] = col;} 535 } 536 k++; 537 if (k >= isz0) break; /* for (row=0; row<mbs; row++) */ 538 } else { /* row is not on input is[i]: 539 do col serach: add row onto nidx_i if there is a col in nidx_i */ 540 for (l = a_start; l<a_end ; l++){ /* Amat */ 541 col = aj[l] + rstart; 542 if (col > col_max) break; 543 if (PetscBTLookup(table0,col)){ 544 if (!PetscBTLookupSet(table_i,row+rstart)) {nidx_i[isz++] = row+rstart;} 545 break; /* for l = start; l<end ; l++) */ 546 } 547 } 548 for (l = b_start; l<b_end ; l++){ /* Bmat */ 549 col = garray[bj[l]]; 550 if (col > col_max) break; 551 if (PetscBTLookup(table0,col)){ 552 if (!PetscBTLookupSet(table_i,row+rstart)) {nidx_i[isz++] = row+rstart;} 553 break; /* for l = start; l<end ; l++) */ 554 } 555 } 556 } 557 } 558 559 if (i < is_max - 1){ 560 idx_i += n; /* ptr to input is[i+1] array */ 561 nidx_i += isz; /* ptr to output is[i+1] array */ 562 } 563 nidx[1+i] = isz; /* size of new is[i] */ 564 } /* for each is */ 565 ierr = PetscBTDestroy(table0);CHKERRQ(ierr); 566 567 PetscFunctionReturn(0); 568 } 569 570 571