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,C->rmap->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 //this is not scalable!!! - use CTABLE 43 //------------------------------------------- 44 ierr = PetscMalloc((Mbs+1)*sizeof(PetscInt),&nidx);CHKERRQ(ierr); 45 ierr = PetscBTCreate(Mbs,table);CHKERRQ(ierr); /* for column search */ 46 47 /* Create is_row */ 48 ierr = PetscMalloc(is_max*sizeof(IS **),&is_row);CHKERRQ(ierr); 49 ierr = ISCreateStride(PETSC_COMM_SELF,Mbs,0,1,&is_row[0]);CHKERRQ(ierr); 50 for (i=1; i<is_max; i++) is_row[i] = is_row[0]; /* reuse is_row[0] */ 51 52 /* Allocate memory to hold all the submatrices - Modified from MatGetSubMatrices_MPIBAIJ() */ 53 ierr = PetscMalloc((is_max+1)*sizeof(Mat),&submats);CHKERRQ(ierr); 54 55 /* Determine the number of stages through which submatrices are done */ 56 nmax = 20*1000000 / (c->Nbs * sizeof(PetscInt)); 57 if (!nmax) nmax = 1; 58 nstages_local = is_max/nmax + ((is_max % nmax)?1:0); 59 60 /* Make sure every processor loops through the nstages */ 61 ierr = MPI_Allreduce(&nstages_local,&nstages,1,MPIU_INT,MPI_MAX,((PetscObject)C)->comm);CHKERRQ(ierr); 62 63 for (iov=0; iov<ov; ++iov) { 64 /* 1) Get submats for column search */ 65 for (i=0,pos=0; i<nstages; i++) { 66 if (pos+nmax <= is_max) max_no = nmax; 67 else if (pos == is_max) max_no = 0; 68 else max_no = is_max-pos; 69 70 c->ijonly = PETSC_TRUE; 71 ierr = MatGetSubMatrices_MPIBAIJ_local(C,max_no,is_row+pos,is_new+pos,MAT_INITIAL_MATRIX,submats+pos);CHKERRQ(ierr); 72 pos += max_no; 73 } 74 75 /* 2) Row search */ 76 ierr = MatIncreaseOverlap_MPIBAIJ_Once(C,is_max,is_new);CHKERRQ(ierr); 77 78 /* 3) Column search */ 79 for (i=0; i<is_max; i++){ 80 asub_i = (Mat_SeqSBAIJ*)submats[i]->data; 81 ai=asub_i->i;; 82 83 /* put is_new obtained from MatIncreaseOverlap_MPIBAIJ() to table */ 84 ierr = PetscBTMemzero(Mbs,table);CHKERRQ(ierr); 85 86 ierr = ISGetIndices(is_new[i],&idx);CHKERRQ(ierr); 87 ierr = ISGetLocalSize(is_new[i],&nis);CHKERRQ(ierr); 88 for (l=0; l<nis; l++) { 89 ierr = PetscBTSet(table,idx[l]);CHKERRQ(ierr); 90 nidx[l] = idx[l]; 91 } 92 isz = nis; 93 94 /* add column entries to table */ 95 for (brow=0; brow<Mbs; brow++){ 96 nz = ai[brow+1] - ai[brow]; 97 if (nz) { 98 if (!PetscBTLookupSet(table,brow)) nidx[isz++] = brow; 99 } 100 } 101 ierr = ISRestoreIndices(is_new[i],&idx);CHKERRQ(ierr); 102 ierr = ISDestroy(&is_new[i]);CHKERRQ(ierr); 103 104 /* create updated is_new */ 105 ierr = ISCreateGeneral(PETSC_COMM_SELF,isz,nidx,PETSC_COPY_VALUES,is_new+i);CHKERRQ(ierr); 106 } 107 108 /* Free tmp spaces */ 109 for (i=0; i<is_max; i++){ 110 ierr = MatDestroy(&submats[i]);CHKERRQ(ierr); 111 } 112 } 113 114 ierr = PetscBTDestroy(table);CHKERRQ(ierr); 115 ierr = PetscFree(submats);CHKERRQ(ierr); 116 ierr = ISDestroy(&is_row[0]);CHKERRQ(ierr); 117 ierr = PetscFree(is_row);CHKERRQ(ierr); 118 ierr = PetscFree(nidx);CHKERRQ(ierr); 119 120 } 121 122 for (i=0; i<is_max; i++) {ierr = ISDestroy(&is[i]);CHKERRQ(ierr);} 123 ierr = ISExpandIndicesGeneral(N,N,bs,is_max,is_new,is);CHKERRQ(ierr); 124 125 for (i=0; i<is_max; i++) {ierr = ISDestroy(&is_new[i]);CHKERRQ(ierr);} 126 ierr = PetscFree(is_new);CHKERRQ(ierr); 127 PetscFunctionReturn(0); 128 } 129 130 typedef enum {MINE,OTHER} WhoseOwner; 131 /* data1, odata1 and odata2 are packed in the format (for communication): 132 data[0] = is_max, no of is 133 data[1] = size of is[0] 134 ... 135 data[is_max] = size of is[is_max-1] 136 data[is_max + 1] = data(is[0]) 137 ... 138 data[is_max+1+sum(size of is[k]), k=0,...,i-1] = data(is[i]) 139 ... 140 data2 is packed in the format (for creating output is[]): 141 data[0] = is_max, no of is 142 data[1] = size of is[0] 143 ... 144 data[is_max] = size of is[is_max-1] 145 data[is_max + 1] = data(is[0]) 146 ... 147 data[is_max + 1 + Mbs*i) = data(is[i]) 148 ... 149 */ 150 #undef __FUNCT__ 151 #define __FUNCT__ "MatIncreaseOverlap_MPISBAIJ_Once" 152 static PetscErrorCode MatIncreaseOverlap_MPISBAIJ_Once(Mat C,PetscInt is_max,IS is[]) 153 { 154 Mat_MPISBAIJ *c = (Mat_MPISBAIJ*)C->data; 155 PetscErrorCode ierr; 156 PetscMPIInt size,rank,tag1,tag2,*len_s,nrqr,nrqs,*id_r1,*len_r1,flag,len; 157 const PetscInt *idx_i; 158 PetscInt idx,isz,col,*n,*data1,**data1_start,*data2,*data2_i,*data,*data_i, 159 Mbs,i,j,k,*odata1,*odata2, 160 proc_id,**odata2_ptr,*ctable=0,*btable,len_max,len_est; 161 PetscInt proc_end=0,*iwork,len_unused,nodata2; 162 PetscInt ois_max; /* max no of is[] in each of processor */ 163 char *t_p; 164 MPI_Comm comm; 165 MPI_Request *s_waits1,*s_waits2,r_req; 166 MPI_Status *s_status,r_status; 167 PetscBT *table; /* mark indices of this processor's is[] */ 168 PetscBT table_i; 169 PetscBT otable; /* mark indices of other processors' is[] */ 170 PetscInt bs=C->rmap->bs,Bn = c->B->cmap->n,Bnbs = Bn/bs,*Bowners; 171 IS garray_local,garray_gl; 172 173 PetscFunctionBegin; 174 comm = ((PetscObject)C)->comm; 175 size = c->size; 176 rank = c->rank; 177 Mbs = c->Mbs; 178 179 ierr = PetscObjectGetNewTag((PetscObject)C,&tag1);CHKERRQ(ierr); 180 ierr = PetscObjectGetNewTag((PetscObject)C,&tag2);CHKERRQ(ierr); 181 182 /* create tables used in 183 step 1: table[i] - mark c->garray of proc [i] 184 step 3: table[i] - mark indices of is[i] when whose=MINE 185 table[0] - mark incideces of is[] when whose=OTHER */ 186 len = PetscMax(is_max, size);CHKERRQ(ierr); 187 ierr = PetscMalloc2(len,PetscBT,&table,(Mbs/PETSC_BITS_PER_BYTE+1)*len,char,&t_p);CHKERRQ(ierr); 188 for (i=0; i<len; i++) { 189 table[i] = t_p + (Mbs/PETSC_BITS_PER_BYTE+1)*i; 190 } 191 192 ierr = MPI_Allreduce(&is_max,&ois_max,1,MPIU_INT,MPI_MAX,comm);CHKERRQ(ierr); 193 194 /* 1. Send this processor's is[] to other processors */ 195 /*---------------------------------------------------*/ 196 /* allocate spaces */ 197 ierr = PetscMalloc(is_max*sizeof(PetscInt),&n);CHKERRQ(ierr); 198 len = 0; 199 for (i=0; i<is_max; i++) { 200 ierr = ISGetLocalSize(is[i],&n[i]);CHKERRQ(ierr); 201 len += n[i]; 202 } 203 if (!len) { 204 is_max = 0; 205 } else { 206 len += 1 + is_max; /* max length of data1 for one processor */ 207 } 208 209 210 ierr = PetscMalloc((size*len+1)*sizeof(PetscInt),&data1);CHKERRQ(ierr); 211 ierr = PetscMalloc(size*sizeof(PetscInt*),&data1_start);CHKERRQ(ierr); 212 for (i=0; i<size; i++) data1_start[i] = data1 + i*len; 213 214 ierr = PetscMalloc4(size,PetscInt,&len_s,size,PetscInt,&btable,size,PetscInt,&iwork,size+1,PetscInt,&Bowners);CHKERRQ(ierr); 215 216 /* gather c->garray from all processors */ 217 ierr = ISCreateGeneral(comm,Bnbs,c->garray,PETSC_COPY_VALUES,&garray_local);CHKERRQ(ierr); 218 ierr = ISAllGather(garray_local, &garray_gl);CHKERRQ(ierr); 219 ierr = ISDestroy(&garray_local);CHKERRQ(ierr); 220 ierr = MPI_Allgather(&Bnbs,1,MPIU_INT,Bowners+1,1,MPIU_INT,comm);CHKERRQ(ierr); 221 Bowners[0] = 0; 222 for (i=0; i<size; i++) Bowners[i+1] += Bowners[i]; 223 224 if (is_max){ 225 /* hash table ctable which maps c->row to proc_id) */ 226 ierr = PetscMalloc(Mbs*sizeof(PetscInt),&ctable);CHKERRQ(ierr); 227 for (proc_id=0,j=0; proc_id<size; proc_id++) { 228 for (; j<C->rmap->range[proc_id+1]/bs; j++) { 229 ctable[j] = proc_id; 230 } 231 } 232 233 /* hash tables marking c->garray */ 234 ierr = ISGetIndices(garray_gl,&idx_i); 235 for (i=0; i<size; i++){ 236 table_i = table[i]; 237 ierr = PetscBTMemzero(Mbs,table_i);CHKERRQ(ierr); 238 for (j = Bowners[i]; j<Bowners[i+1]; j++){ /* go through B cols of proc[i]*/ 239 ierr = PetscBTSet(table_i,idx_i[j]);CHKERRQ(ierr); 240 } 241 } 242 ierr = ISRestoreIndices(garray_gl,&idx_i);CHKERRQ(ierr); 243 } /* if (is_max) */ 244 ierr = ISDestroy(&garray_gl);CHKERRQ(ierr); 245 246 /* evaluate communication - mesg to who, length, and buffer space */ 247 for (i=0; i<size; i++) len_s[i] = 0; 248 249 /* header of data1 */ 250 for (proc_id=0; proc_id<size; proc_id++){ 251 iwork[proc_id] = 0; 252 *data1_start[proc_id] = is_max; 253 data1_start[proc_id]++; 254 for (j=0; j<is_max; j++) { 255 if (proc_id == rank){ 256 *data1_start[proc_id] = n[j]; 257 } else { 258 *data1_start[proc_id] = 0; 259 } 260 data1_start[proc_id]++; 261 } 262 } 263 264 for (i=0; i<is_max; i++) { 265 ierr = ISGetIndices(is[i],&idx_i);CHKERRQ(ierr); 266 for (j=0; j<n[i]; j++){ 267 idx = idx_i[j]; 268 *data1_start[rank] = idx; data1_start[rank]++; /* for local proccessing */ 269 proc_end = ctable[idx]; 270 for (proc_id=0; proc_id<=proc_end; proc_id++){ /* for others to process */ 271 if (proc_id == rank ) continue; /* done before this loop */ 272 if (proc_id < proc_end && !PetscBTLookup(table[proc_id],idx)) 273 continue; /* no need for sending idx to [proc_id] */ 274 *data1_start[proc_id] = idx; data1_start[proc_id]++; 275 len_s[proc_id]++; 276 } 277 } 278 /* update header data */ 279 for (proc_id=0; proc_id<size; proc_id++){ 280 if (proc_id== rank) continue; 281 *(data1 + proc_id*len + 1 + i) = len_s[proc_id] - iwork[proc_id]; 282 iwork[proc_id] = len_s[proc_id] ; 283 } 284 ierr = ISRestoreIndices(is[i],&idx_i);CHKERRQ(ierr); 285 } 286 287 nrqs = 0; nrqr = 0; 288 for (i=0; i<size; i++){ 289 data1_start[i] = data1 + i*len; 290 if (len_s[i]){ 291 nrqs++; 292 len_s[i] += 1 + is_max; /* add no. of header msg */ 293 } 294 } 295 296 for (i=0; i<is_max; i++) { 297 ierr = ISDestroy(&is[i]);CHKERRQ(ierr); 298 } 299 ierr = PetscFree(n);CHKERRQ(ierr); 300 ierr = PetscFree(ctable);CHKERRQ(ierr); 301 302 /* Determine the number of messages to expect, their lengths, from from-ids */ 303 ierr = PetscGatherNumberOfMessages(comm,PETSC_NULL,len_s,&nrqr);CHKERRQ(ierr); 304 ierr = PetscGatherMessageLengths(comm,nrqs,nrqr,len_s,&id_r1,&len_r1);CHKERRQ(ierr); 305 306 /* Now post the sends */ 307 ierr = PetscMalloc2(size,MPI_Request,&s_waits1,size,MPI_Request,&s_waits2);CHKERRQ(ierr); 308 k = 0; 309 for (proc_id=0; proc_id<size; proc_id++){ /* send data1 to processor [proc_id] */ 310 if (len_s[proc_id]){ 311 ierr = MPI_Isend(data1_start[proc_id],len_s[proc_id],MPIU_INT,proc_id,tag1,comm,s_waits1+k);CHKERRQ(ierr); 312 k++; 313 } 314 } 315 316 /* 2. Receive other's is[] and process. Then send back */ 317 /*-----------------------------------------------------*/ 318 len = 0; 319 for (i=0; i<nrqr; i++){ 320 if (len_r1[i] > len)len = len_r1[i]; 321 } 322 ierr = PetscFree(len_r1);CHKERRQ(ierr); 323 ierr = PetscFree(id_r1);CHKERRQ(ierr); 324 325 for (proc_id=0; proc_id<size; proc_id++) 326 len_s[proc_id] = iwork[proc_id] = 0; 327 328 ierr = PetscMalloc((len+1)*sizeof(PetscInt),&odata1);CHKERRQ(ierr); 329 ierr = PetscMalloc(size*sizeof(PetscInt**),&odata2_ptr);CHKERRQ(ierr); 330 ierr = PetscBTCreate(Mbs,otable);CHKERRQ(ierr); 331 332 len_max = ois_max*(Mbs+1); /* max space storing all is[] for each receive */ 333 len_est = 2*len_max; /* estimated space of storing is[] for all receiving messages */ 334 ierr = PetscMalloc((len_est+1)*sizeof(PetscInt),&odata2);CHKERRQ(ierr); 335 nodata2 = 0; /* nodata2+1: num of PetscMalloc(,&odata2_ptr[]) called */ 336 odata2_ptr[nodata2] = odata2; 337 len_unused = len_est; /* unused space in the array odata2_ptr[nodata2]-- needs to be >= len_max */ 338 339 k = 0; 340 while (k < nrqr){ 341 /* Receive messages */ 342 ierr = MPI_Iprobe(MPI_ANY_SOURCE,tag1,comm,&flag,&r_status);CHKERRQ(ierr); 343 if (flag){ 344 ierr = MPI_Get_count(&r_status,MPIU_INT,&len);CHKERRQ(ierr); 345 proc_id = r_status.MPI_SOURCE; 346 ierr = MPI_Irecv(odata1,len,MPIU_INT,proc_id,r_status.MPI_TAG,comm,&r_req);CHKERRQ(ierr); 347 ierr = MPI_Wait(&r_req,&r_status);CHKERRQ(ierr); 348 349 /* Process messages */ 350 /* make sure there is enough unused space in odata2 array */ 351 if (len_unused < len_max){ /* allocate more space for odata2 */ 352 ierr = PetscMalloc((len_est+1)*sizeof(PetscInt),&odata2);CHKERRQ(ierr); 353 odata2_ptr[++nodata2] = odata2; 354 len_unused = len_est; 355 } 356 357 ierr = MatIncreaseOverlap_MPISBAIJ_Local(C,odata1,OTHER,odata2,&otable);CHKERRQ(ierr); 358 len = 1 + odata2[0]; 359 for (i=0; i<odata2[0]; i++){ 360 len += odata2[1 + i]; 361 } 362 363 /* Send messages back */ 364 ierr = MPI_Isend(odata2,len,MPIU_INT,proc_id,tag2,comm,s_waits2+k);CHKERRQ(ierr); 365 k++; 366 odata2 += len; 367 len_unused -= len; 368 len_s[proc_id] = len; /* num of messages sending back to [proc_id] by this proc */ 369 } 370 } 371 ierr = PetscFree(odata1);CHKERRQ(ierr); 372 ierr = PetscBTDestroy(otable);CHKERRQ(ierr); 373 374 /* 3. Do local work on this processor's is[] */ 375 /*-------------------------------------------*/ 376 /* make sure there is enough unused space in odata2(=data) array */ 377 len_max = is_max*(Mbs+1); /* max space storing all is[] for this processor */ 378 if (len_unused < len_max){ /* allocate more space for odata2 */ 379 ierr = PetscMalloc((len_est+1)*sizeof(PetscInt),&odata2);CHKERRQ(ierr); 380 odata2_ptr[++nodata2] = odata2; 381 len_unused = len_est; 382 } 383 384 data = odata2; 385 ierr = MatIncreaseOverlap_MPISBAIJ_Local(C,data1_start[rank],MINE,data,table);CHKERRQ(ierr); 386 ierr = PetscFree(data1_start);CHKERRQ(ierr); 387 388 /* 4. Receive work done on other processors, then merge */ 389 /*------------------------------------------------------*/ 390 /* get max number of messages that this processor expects to recv */ 391 ierr = MPI_Allreduce(len_s,iwork,size,MPIU_INT,MPI_MAX,comm);CHKERRQ(ierr); 392 ierr = PetscMalloc((iwork[rank]+1)*sizeof(PetscInt),&data2);CHKERRQ(ierr); 393 ierr = PetscFree4(len_s,btable,iwork,Bowners);CHKERRQ(ierr); 394 395 k = 0; 396 while (k < nrqs){ 397 /* Receive messages */ 398 ierr = MPI_Iprobe(MPI_ANY_SOURCE,tag2,comm,&flag,&r_status); 399 if (flag){ 400 ierr = MPI_Get_count(&r_status,MPIU_INT,&len);CHKERRQ(ierr); 401 proc_id = r_status.MPI_SOURCE; 402 ierr = MPI_Irecv(data2,len,MPIU_INT,proc_id,r_status.MPI_TAG,comm,&r_req);CHKERRQ(ierr); 403 ierr = MPI_Wait(&r_req,&r_status);CHKERRQ(ierr); 404 if (len > 1+is_max){ /* Add data2 into data */ 405 data2_i = data2 + 1 + is_max; 406 for (i=0; i<is_max; i++){ 407 table_i = table[i]; 408 data_i = data + 1 + is_max + Mbs*i; 409 isz = data[1+i]; 410 for (j=0; j<data2[1+i]; j++){ 411 col = data2_i[j]; 412 if (!PetscBTLookupSet(table_i,col)) {data_i[isz++] = col;} 413 } 414 data[1+i] = isz; 415 if (i < is_max - 1) data2_i += data2[1+i]; 416 } 417 } 418 k++; 419 } 420 } 421 ierr = PetscFree(data2);CHKERRQ(ierr); 422 ierr = PetscFree2(table,t_p);CHKERRQ(ierr); 423 424 /* phase 1 sends are complete */ 425 ierr = PetscMalloc(size*sizeof(MPI_Status),&s_status);CHKERRQ(ierr); 426 if (nrqs) {ierr = MPI_Waitall(nrqs,s_waits1,s_status);CHKERRQ(ierr);} 427 ierr = PetscFree(data1);CHKERRQ(ierr); 428 429 /* phase 2 sends are complete */ 430 if (nrqr){ierr = MPI_Waitall(nrqr,s_waits2,s_status);CHKERRQ(ierr);} 431 ierr = PetscFree2(s_waits1,s_waits2);CHKERRQ(ierr); 432 ierr = PetscFree(s_status);CHKERRQ(ierr); 433 434 /* 5. Create new is[] */ 435 /*--------------------*/ 436 for (i=0; i<is_max; i++) { 437 data_i = data + 1 + is_max + Mbs*i; 438 ierr = ISCreateGeneral(PETSC_COMM_SELF,data[1+i],data_i,PETSC_COPY_VALUES,is+i);CHKERRQ(ierr); 439 } 440 for (k=0; k<=nodata2; k++){ 441 ierr = PetscFree(odata2_ptr[k]);CHKERRQ(ierr); 442 } 443 ierr = PetscFree(odata2_ptr);CHKERRQ(ierr); 444 445 PetscFunctionReturn(0); 446 } 447 448 #undef __FUNCT__ 449 #define __FUNCT__ "MatIncreaseOverlap_MPISBAIJ_Local" 450 /* 451 MatIncreaseOverlap_MPISBAIJ_Local - Called by MatIncreaseOverlap, to do 452 the work on the local processor. 453 454 Inputs: 455 C - MAT_MPISBAIJ; 456 data - holds is[]. See MatIncreaseOverlap_MPISBAIJ_Once() for the format. 457 whose - whose is[] to be processed, 458 MINE: this processor's is[] 459 OTHER: other processor's is[] 460 Output: 461 nidx - whose = MINE: 462 holds input and newly found indices in the same format as data 463 whose = OTHER: 464 only holds the newly found indices 465 table - table[i]: mark the indices of is[i], i=0,...,is_max. Used only in the case 'whose=MINE'. 466 */ 467 /* Would computation be reduced by swapping the loop 'for each is' and 'for each row'? */ 468 static PetscErrorCode MatIncreaseOverlap_MPISBAIJ_Local(Mat C,PetscInt *data,PetscInt whose,PetscInt *nidx,PetscBT *table) 469 { 470 Mat_MPISBAIJ *c = (Mat_MPISBAIJ*)C->data; 471 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)(c->A)->data; 472 Mat_SeqBAIJ *b = (Mat_SeqBAIJ*)(c->B)->data; 473 PetscErrorCode ierr; 474 PetscInt row,mbs,Mbs,*nidx_i,col,col_max,isz,isz0,*ai,*aj,*bi,*bj,*garray,rstart,l; 475 PetscInt a_start,a_end,b_start,b_end,i,j,k,is_max,*idx_i,n; 476 PetscBT table0; /* mark the indices of input is[] for look up */ 477 PetscBT table_i; /* poits to i-th table. When whose=OTHER, a single table is used for all is[] */ 478 479 PetscFunctionBegin; 480 Mbs = c->Mbs; mbs = a->mbs; 481 ai = a->i; aj = a->j; 482 bi = b->i; bj = b->j; 483 garray = c->garray; 484 rstart = c->rstartbs; 485 is_max = data[0]; 486 487 ierr = PetscBTCreate(Mbs,table0);CHKERRQ(ierr); 488 489 nidx[0] = is_max; 490 idx_i = data + is_max + 1; /* ptr to input is[0] array */ 491 nidx_i = nidx + is_max + 1; /* ptr to output is[0] array */ 492 for (i=0; i<is_max; i++) { /* for each is */ 493 isz = 0; 494 n = data[1+i]; /* size of input is[i] */ 495 496 /* initialize and set table_i(mark idx and nidx) and table0(only mark idx) */ 497 if (whose == MINE){ /* process this processor's is[] */ 498 table_i = table[i]; 499 nidx_i = nidx + 1+ is_max + Mbs*i; 500 } else { /* process other processor's is[] - only use one temp table */ 501 table_i = table[0]; 502 } 503 ierr = PetscBTMemzero(Mbs,table_i);CHKERRQ(ierr); 504 ierr = PetscBTMemzero(Mbs,table0);CHKERRQ(ierr); 505 if (n==0) { 506 nidx[1+i] = 0; /* size of new is[i] */ 507 continue; 508 } 509 510 isz0 = 0; col_max = 0; 511 for (j=0; j<n; j++){ 512 col = idx_i[j]; 513 if (col >= Mbs) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"index col %D >= Mbs %D",col,Mbs); 514 if(!PetscBTLookupSet(table_i,col)) { 515 ierr = PetscBTSet(table0,col);CHKERRQ(ierr); 516 if (whose == MINE) {nidx_i[isz0] = col;} 517 if (col_max < col) col_max = col; 518 isz0++; 519 } 520 } 521 522 if (whose == MINE) {isz = isz0;} 523 k = 0; /* no. of indices from input is[i] that have been examined */ 524 for (row=0; row<mbs; row++){ 525 a_start = ai[row]; a_end = ai[row+1]; 526 b_start = bi[row]; b_end = bi[row+1]; 527 if (PetscBTLookup(table0,row+rstart)){ /* row is on input is[i]: 528 do row search: collect all col in this row */ 529 for (l = a_start; l<a_end ; l++){ /* Amat */ 530 col = aj[l] + rstart; 531 if (!PetscBTLookupSet(table_i,col)) {nidx_i[isz++] = col;} 532 } 533 for (l = b_start; l<b_end ; l++){ /* Bmat */ 534 col = garray[bj[l]]; 535 if (!PetscBTLookupSet(table_i,col)) {nidx_i[isz++] = col;} 536 } 537 k++; 538 if (k >= isz0) break; /* for (row=0; row<mbs; row++) */ 539 } else { /* row is not on input is[i]: 540 do col serach: add row onto nidx_i if there is a col in nidx_i */ 541 for (l = a_start; l<a_end ; l++){ /* Amat */ 542 col = aj[l] + rstart; 543 if (col > col_max) break; 544 if (PetscBTLookup(table0,col)){ 545 if (!PetscBTLookupSet(table_i,row+rstart)) {nidx_i[isz++] = row+rstart;} 546 break; /* for l = start; l<end ; l++) */ 547 } 548 } 549 for (l = b_start; l<b_end ; l++){ /* Bmat */ 550 col = garray[bj[l]]; 551 if (col > col_max) break; 552 if (PetscBTLookup(table0,col)){ 553 if (!PetscBTLookupSet(table_i,row+rstart)) {nidx_i[isz++] = row+rstart;} 554 break; /* for l = start; l<end ; l++) */ 555 } 556 } 557 } 558 } 559 560 if (i < is_max - 1){ 561 idx_i += n; /* ptr to input is[i+1] array */ 562 nidx_i += isz; /* ptr to output is[i+1] array */ 563 } 564 nidx[1+i] = isz; /* size of new is[i] */ 565 } /* for each is */ 566 ierr = PetscBTDestroy(table0);CHKERRQ(ierr); 567 568 PetscFunctionReturn(0); 569 } 570 571 572