Actual source code: mmbaij.c

petsc-master 2020-11-28
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  2: /*
  3:    Support for the parallel BAIJ matrix vector multiply
  4: */
  5: #include <../src/mat/impls/baij/mpi/mpibaij.h>
  6: #include <petsc/private/isimpl.h>

  8: PetscErrorCode MatSetUpMultiply_MPIBAIJ(Mat mat)
  9: {
 10:   Mat_MPIBAIJ    *baij = (Mat_MPIBAIJ*)mat->data;
 11:   Mat_SeqBAIJ    *B    = (Mat_SeqBAIJ*)(baij->B->data);
 13:   PetscInt       i,j,*aj = B->j,ec = 0,*garray;
 14:   PetscInt       bs = mat->rmap->bs,*stmp;
 15:   IS             from,to;
 16:   Vec            gvec;
 17: #if defined(PETSC_USE_CTABLE)
 18:   PetscTable         gid1_lid1;
 19:   PetscTablePosition tpos;
 20:   PetscInt           gid,lid;
 21: #else
 22:   PetscInt Nbs = baij->Nbs,*indices;
 23: #endif

 26: #if defined(PETSC_USE_CTABLE)
 27:   /* use a table - Mark Adams */
 28:   PetscTableCreate(B->mbs,baij->Nbs+1,&gid1_lid1);
 29:   for (i=0; i<B->mbs; i++) {
 30:     for (j=0; j<B->ilen[i]; j++) {
 31:       PetscInt data,gid1 = aj[B->i[i]+j] + 1;
 32:       PetscTableFind(gid1_lid1,gid1,&data);
 33:       if (!data) {
 34:         /* one based table */
 35:         PetscTableAdd(gid1_lid1,gid1,++ec,INSERT_VALUES);
 36:       }
 37:     }
 38:   }
 39:   /* form array of columns we need */
 40:   PetscMalloc1(ec+1,&garray);
 41:   PetscTableGetHeadPosition(gid1_lid1,&tpos);
 42:   while (tpos) {
 43:     PetscTableGetNext(gid1_lid1,&tpos,&gid,&lid);
 44:     gid--; lid--;
 45:     garray[lid] = gid;
 46:   }
 47:   PetscSortInt(ec,garray);
 48:   PetscTableRemoveAll(gid1_lid1);
 49:   for (i=0; i<ec; i++) {
 50:     PetscTableAdd(gid1_lid1,garray[i]+1,i+1,INSERT_VALUES);
 51:   }
 52:   /* compact out the extra columns in B */
 53:   for (i=0; i<B->mbs; i++) {
 54:     for (j=0; j<B->ilen[i]; j++) {
 55:       PetscInt gid1 = aj[B->i[i] + j] + 1;
 56:       PetscTableFind(gid1_lid1,gid1,&lid);
 57:       lid--;
 58:       aj[B->i[i]+j] = lid;
 59:     }
 60:   }
 61:   B->nbs           = ec;
 62:   PetscLayoutDestroy(&baij->B->cmap);
 63:   PetscLayoutCreateFromSizes(PetscObjectComm((PetscObject)baij->B),ec*mat->rmap->bs,ec*mat->rmap->bs,mat->rmap->bs,&baij->B->cmap);
 64:   PetscTableDestroy(&gid1_lid1);
 65: #else
 66:   /* Make an array as long as the number of columns */
 67:   /* mark those columns that are in baij->B */
 68:   PetscCalloc1(Nbs+1,&indices);
 69:   for (i=0; i<B->mbs; i++) {
 70:     for (j=0; j<B->ilen[i]; j++) {
 71:       if (!indices[aj[B->i[i] + j]]) ec++;
 72:       indices[aj[B->i[i] + j]] = 1;
 73:     }
 74:   }

 76:   /* form array of columns we need */
 77:   PetscMalloc1(ec+1,&garray);
 78:   ec   = 0;
 79:   for (i=0; i<Nbs; i++) {
 80:     if (indices[i]) {
 81:       garray[ec++] = i;
 82:     }
 83:   }

 85:   /* make indices now point into garray */
 86:   for (i=0; i<ec; i++) {
 87:     indices[garray[i]] = i;
 88:   }

 90:   /* compact out the extra columns in B */
 91:   for (i=0; i<B->mbs; i++) {
 92:     for (j=0; j<B->ilen[i]; j++) {
 93:       aj[B->i[i] + j] = indices[aj[B->i[i] + j]];
 94:     }
 95:   }
 96:   B->nbs           = ec;
 97:   PetscLayoutDestroy(&baij->B->cmap);
 98:   PetscLayoutCreateFromSizes(PetscObjectComm((PetscObject)baij->B),ec*mat->rmap->bs,ec*mat->rmap->bs,mat->rmap->bs,&baij->B->cmap);
 99:   PetscFree(indices);
100: #endif

102:   /* create local vector that is used to scatter into */
103:   VecCreateSeq(PETSC_COMM_SELF,ec*bs,&baij->lvec);

105:   /* create two temporary index sets for building scatter-gather */
106:   ISCreateBlock(PETSC_COMM_SELF,bs,ec,garray,PETSC_COPY_VALUES,&from);

108:   PetscMalloc1(ec+1,&stmp);
109:   for (i=0; i<ec; i++) stmp[i] = i;
110:   ISCreateBlock(PETSC_COMM_SELF,bs,ec,stmp,PETSC_OWN_POINTER,&to);

112:   /* create temporary global vector to generate scatter context */
113:   VecCreateMPIWithArray(PetscObjectComm((PetscObject)mat),1,mat->cmap->n,mat->cmap->N,NULL,&gvec);

115:   VecScatterCreate(gvec,from,baij->lvec,to,&baij->Mvctx);

117:   PetscLogObjectParent((PetscObject)mat,(PetscObject)baij->Mvctx);
118:   PetscLogObjectParent((PetscObject)mat,(PetscObject)baij->lvec);
119:   PetscLogObjectParent((PetscObject)mat,(PetscObject)from);
120:   PetscLogObjectParent((PetscObject)mat,(PetscObject)to);

122:   baij->garray = garray;

124:   PetscLogObjectMemory((PetscObject)mat,(ec+1)*sizeof(PetscInt));
125:   ISDestroy(&from);
126:   ISDestroy(&to);
127:   VecDestroy(&gvec);
128:   return(0);
129: }

131: /*
132:      Takes the local part of an already assembled MPIBAIJ matrix
133:    and disassembles it. This is to allow new nonzeros into the matrix
134:    that require more communication in the matrix vector multiply.
135:    Thus certain data-structures must be rebuilt.

137:    Kind of slow! But that's what application programmers get when
138:    they are sloppy.
139: */
140: PetscErrorCode MatDisAssemble_MPIBAIJ(Mat A)
141: {
142:   Mat_MPIBAIJ    *baij  = (Mat_MPIBAIJ*)A->data;
143:   Mat            B      = baij->B,Bnew;
144:   Mat_SeqBAIJ    *Bbaij = (Mat_SeqBAIJ*)B->data;
146:   PetscInt       i,j,mbs=Bbaij->mbs,n = A->cmap->N,col,*garray=baij->garray;
147:   PetscInt       bs2 = baij->bs2,*nz,ec,m = A->rmap->n;
148:   MatScalar      *a  = Bbaij->a;
149:   MatScalar      *atmp;


153:   /* free stuff related to matrix-vec multiply */
154:   VecGetSize(baij->lvec,&ec); /* needed for PetscLogObjectMemory below */
155:   VecDestroy(&baij->lvec); baij->lvec = NULL;
156:   VecScatterDestroy(&baij->Mvctx); baij->Mvctx = NULL;
157:   if (baij->colmap) {
158: #if defined(PETSC_USE_CTABLE)
159:     PetscTableDestroy(&baij->colmap);
160: #else
161:     PetscFree(baij->colmap);
162:     PetscLogObjectMemory((PetscObject)A,-Bbaij->nbs*sizeof(PetscInt));
163: #endif
164:   }

166:   /* make sure that B is assembled so we can access its values */
167:   MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);
168:   MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);

170:   /* invent new B and copy stuff over */
171:   PetscMalloc1(mbs,&nz);
172:   for (i=0; i<mbs; i++) {
173:     nz[i] = Bbaij->i[i+1]-Bbaij->i[i];
174:   }
175:   MatCreate(PetscObjectComm((PetscObject)B),&Bnew);
176:   MatSetSizes(Bnew,m,n,m,n);
177:   MatSetType(Bnew,((PetscObject)B)->type_name);
178:   MatSeqBAIJSetPreallocation(Bnew,B->rmap->bs,0,nz);
179:   if (Bbaij->nonew >= 0) { /* Inherit insertion error options (if positive). */
180:     ((Mat_SeqBAIJ*)Bnew->data)->nonew = Bbaij->nonew;
181:   }

183:   MatSetOption(Bnew,MAT_ROW_ORIENTED,PETSC_FALSE);
184:   /*
185:    Ensure that B's nonzerostate is monotonically increasing.
186:    Or should this follow the MatSetValuesBlocked() loop to preserve B's nonzerstate across a MatDisAssemble() call?
187:    */
188:   Bnew->nonzerostate = B->nonzerostate;

190:   for (i=0; i<mbs; i++) {
191:     for (j=Bbaij->i[i]; j<Bbaij->i[i+1]; j++) {
192:       col  = garray[Bbaij->j[j]];
193:       atmp = a + j*bs2;
194:       MatSetValuesBlocked_SeqBAIJ(Bnew,1,&i,1,&col,atmp,B->insertmode);
195:     }
196:   }
197:   MatSetOption(Bnew,MAT_ROW_ORIENTED,PETSC_TRUE);

199:   PetscFree(nz);
200:   PetscFree(baij->garray);
201:   PetscLogObjectMemory((PetscObject)A,-ec*sizeof(PetscInt));
202:   MatDestroy(&B);
203:   PetscLogObjectParent((PetscObject)A,(PetscObject)Bnew);

205:   baij->B          = Bnew;
206:   A->was_assembled = PETSC_FALSE;
207:   A->assembled     = PETSC_FALSE;
208:   return(0);
209: }

211: /*      ugly stuff added for Glenn someday we should fix this up */

213: static PetscInt *uglyrmapd = NULL,*uglyrmapo = NULL;  /* mapping from the local ordering to the "diagonal" and "off-diagonal" parts of the local matrix */
214: static Vec      uglydd     = NULL,uglyoo     = NULL;  /* work vectors used to scale the two parts of the local matrix */


217: PetscErrorCode MatMPIBAIJDiagonalScaleLocalSetUp(Mat inA,Vec scale)
218: {
219:   Mat_MPIBAIJ    *ina = (Mat_MPIBAIJ*) inA->data; /*access private part of matrix */
220:   Mat_SeqBAIJ    *B   = (Mat_SeqBAIJ*)ina->B->data;
222:   PetscInt       bs = inA->rmap->bs,i,n,nt,j,cstart,cend,no,*garray = ina->garray,*lindices;
223:   PetscInt       *r_rmapd,*r_rmapo;

226:   MatGetOwnershipRange(inA,&cstart,&cend);
227:   MatGetSize(ina->A,NULL,&n);
228:   PetscCalloc1(inA->rmap->mapping->n+1,&r_rmapd);
229:   nt   = 0;
230:   for (i=0; i<inA->rmap->mapping->n; i++) {
231:     if (inA->rmap->mapping->indices[i]*bs >= cstart && inA->rmap->mapping->indices[i]*bs < cend) {
232:       nt++;
233:       r_rmapd[i] = inA->rmap->mapping->indices[i] + 1;
234:     }
235:   }
236:   if (nt*bs != n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Hmm nt*bs %D n %D",nt*bs,n);
237:   PetscMalloc1(n+1,&uglyrmapd);
238:   for (i=0; i<inA->rmap->mapping->n; i++) {
239:     if (r_rmapd[i]) {
240:       for (j=0; j<bs; j++) {
241:         uglyrmapd[(r_rmapd[i]-1)*bs+j-cstart] = i*bs + j;
242:       }
243:     }
244:   }
245:   PetscFree(r_rmapd);
246:   VecCreateSeq(PETSC_COMM_SELF,n,&uglydd);

248:   PetscCalloc1(ina->Nbs+1,&lindices);
249:   for (i=0; i<B->nbs; i++) {
250:     lindices[garray[i]] = i+1;
251:   }
252:   no   = inA->rmap->mapping->n - nt;
253:   PetscCalloc1(inA->rmap->mapping->n+1,&r_rmapo);
254:   nt   = 0;
255:   for (i=0; i<inA->rmap->mapping->n; i++) {
256:     if (lindices[inA->rmap->mapping->indices[i]]) {
257:       nt++;
258:       r_rmapo[i] = lindices[inA->rmap->mapping->indices[i]];
259:     }
260:   }
261:   if (nt > no) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Hmm nt %D no %D",nt,n);
262:   PetscFree(lindices);
263:   PetscMalloc1(nt*bs+1,&uglyrmapo);
264:   for (i=0; i<inA->rmap->mapping->n; i++) {
265:     if (r_rmapo[i]) {
266:       for (j=0; j<bs; j++) {
267:         uglyrmapo[(r_rmapo[i]-1)*bs+j] = i*bs + j;
268:       }
269:     }
270:   }
271:   PetscFree(r_rmapo);
272:   VecCreateSeq(PETSC_COMM_SELF,nt*bs,&uglyoo);
273:   return(0);
274: }

276: PetscErrorCode  MatMPIBAIJDiagonalScaleLocal(Mat A,Vec scale)
277: {
278:   /* This routine should really be abandoned as it duplicates MatDiagonalScaleLocal */

282:   PetscTryMethod(A,"MatDiagonalScaleLocal_C",(Mat,Vec),(A,scale));
283:   return(0);
284: }

286: PetscErrorCode  MatDiagonalScaleLocal_MPIBAIJ(Mat A,Vec scale)
287: {
288:   Mat_MPIBAIJ       *a = (Mat_MPIBAIJ*) A->data; /*access private part of matrix */
289:   PetscErrorCode    ierr;
290:   PetscInt          n,i;
291:   PetscScalar       *d,*o;
292:   const PetscScalar *s;

295:   if (!uglyrmapd) {
296:     MatMPIBAIJDiagonalScaleLocalSetUp(A,scale);
297:   }

299:   VecGetArrayRead(scale,&s);

301:   VecGetLocalSize(uglydd,&n);
302:   VecGetArray(uglydd,&d);
303:   for (i=0; i<n; i++) {
304:     d[i] = s[uglyrmapd[i]]; /* copy "diagonal" (true local) portion of scale into dd vector */
305:   }
306:   VecRestoreArray(uglydd,&d);
307:   /* column scale "diagonal" portion of local matrix */
308:   MatDiagonalScale(a->A,NULL,uglydd);

310:   VecGetLocalSize(uglyoo,&n);
311:   VecGetArray(uglyoo,&o);
312:   for (i=0; i<n; i++) {
313:     o[i] = s[uglyrmapo[i]]; /* copy "off-diagonal" portion of scale into oo vector */
314:   }
315:   VecRestoreArrayRead(scale,&s);
316:   VecRestoreArray(uglyoo,&o);
317:   /* column scale "off-diagonal" portion of local matrix */
318:   MatDiagonalScale(a->B,NULL,uglyoo);
319:   return(0);
320: }