Actual source code: mmaij.c
petsc-3.7.3 2016-08-01
2: /*
3: Support for the parallel AIJ matrix vector multiply
4: */
5: #include <../src/mat/impls/aij/mpi/mpiaij.h>
6: #include <petsc/private/isimpl.h> /* needed because accesses data structure of ISLocalToGlobalMapping directly */
10: PetscErrorCode MatSetUpMultiply_MPIAIJ(Mat mat)
11: {
12: Mat_MPIAIJ *aij = (Mat_MPIAIJ*)mat->data;
13: Mat_SeqAIJ *B = (Mat_SeqAIJ*)(aij->B->data);
15: PetscInt i,j,*aj = B->j,ec = 0,*garray;
16: IS from,to;
17: Vec gvec;
18: #if defined(PETSC_USE_CTABLE)
19: PetscTable gid1_lid1;
20: PetscTablePosition tpos;
21: PetscInt gid,lid;
22: #else
23: PetscInt N = mat->cmap->N,*indices;
24: #endif
27: #if defined(PETSC_USE_CTABLE)
28: /* use a table */
29: PetscTableCreate(aij->B->rmap->n,mat->cmap->N+1,&gid1_lid1);
30: for (i=0; i<aij->B->rmap->n; i++) {
31: for (j=0; j<B->ilen[i]; j++) {
32: PetscInt data,gid1 = aj[B->i[i] + j] + 1;
33: PetscTableFind(gid1_lid1,gid1,&data);
34: if (!data) {
35: /* one based table */
36: PetscTableAdd(gid1_lid1,gid1,++ec,INSERT_VALUES);
37: }
38: }
39: }
40: /* form array of columns we need */
41: PetscMalloc1(ec+1,&garray);
42: PetscTableGetHeadPosition(gid1_lid1,&tpos);
43: while (tpos) {
44: PetscTableGetNext(gid1_lid1,&tpos,&gid,&lid);
45: gid--;
46: lid--;
47: garray[lid] = gid;
48: }
49: PetscSortInt(ec,garray); /* sort, and rebuild */
50: PetscTableRemoveAll(gid1_lid1);
51: for (i=0; i<ec; i++) {
52: PetscTableAdd(gid1_lid1,garray[i]+1,i+1,INSERT_VALUES);
53: }
54: /* compact out the extra columns in B */
55: for (i=0; i<aij->B->rmap->n; i++) {
56: for (j=0; j<B->ilen[i]; j++) {
57: PetscInt gid1 = aj[B->i[i] + j] + 1;
58: PetscTableFind(gid1_lid1,gid1,&lid);
59: lid--;
60: aj[B->i[i] + j] = lid;
61: }
62: }
63: aij->B->cmap->n = aij->B->cmap->N = ec;
64: aij->B->cmap->bs = 1;
66: PetscLayoutSetUp((aij->B->cmap));
67: PetscTableDestroy(&gid1_lid1);
68: #else
69: /* Make an array as long as the number of columns */
70: /* mark those columns that are in aij->B */
71: PetscCalloc1(N+1,&indices);
72: for (i=0; i<aij->B->rmap->n; i++) {
73: for (j=0; j<B->ilen[i]; j++) {
74: if (!indices[aj[B->i[i] + j]]) ec++;
75: indices[aj[B->i[i] + j]] = 1;
76: }
77: }
79: /* form array of columns we need */
80: PetscMalloc1(ec+1,&garray);
81: ec = 0;
82: for (i=0; i<N; i++) {
83: if (indices[i]) garray[ec++] = i;
84: }
86: /* make indices now point into garray */
87: for (i=0; i<ec; i++) {
88: indices[garray[i]] = i;
89: }
91: /* compact out the extra columns in B */
92: for (i=0; i<aij->B->rmap->n; i++) {
93: for (j=0; j<B->ilen[i]; j++) {
94: aj[B->i[i] + j] = indices[aj[B->i[i] + j]];
95: }
96: }
97: aij->B->cmap->n = aij->B->cmap->N = ec;
98: aij->B->cmap->bs = 1;
100: PetscLayoutSetUp((aij->B->cmap));
101: PetscFree(indices);
102: #endif
103: /* create local vector that is used to scatter into */
104: VecCreateSeq(PETSC_COMM_SELF,ec,&aij->lvec);
106: /* create two temporary Index sets for build scatter gather */
107: ISCreateGeneral(((PetscObject)mat)->comm,ec,garray,PETSC_COPY_VALUES,&from);
109: ISCreateStride(PETSC_COMM_SELF,ec,0,1,&to);
111: /* create temporary global vector to generate scatter context */
112: /* This does not allocate the array's memory so is efficient */
113: VecCreateMPIWithArray(PetscObjectComm((PetscObject)mat),1,mat->cmap->n,mat->cmap->N,NULL,&gvec);
115: /* generate the scatter context */
116: VecScatterCreate(gvec,from,aij->lvec,to,&aij->Mvctx);
117: PetscLogObjectParent((PetscObject)mat,(PetscObject)aij->Mvctx);
118: PetscLogObjectParent((PetscObject)mat,(PetscObject)aij->lvec);
119: PetscLogObjectParent((PetscObject)mat,(PetscObject)from);
120: PetscLogObjectParent((PetscObject)mat,(PetscObject)to);
122: aij->garray = garray;
124: PetscLogObjectMemory((PetscObject)mat,(ec+1)*sizeof(PetscInt));
125: ISDestroy(&from);
126: ISDestroy(&to);
127: VecDestroy(&gvec);
128: return(0);
129: }
134: /*
135: Takes the local part of an already assembled MPIAIJ matrix
136: and disassembles it. This is to allow new nonzeros into the matrix
137: that require more communication in the matrix vector multiply.
138: Thus certain data-structures must be rebuilt.
140: Kind of slow! But that's what application programmers get when
141: they are sloppy.
142: */
143: PetscErrorCode MatDisAssemble_MPIAIJ(Mat A)
144: {
145: Mat_MPIAIJ *aij = (Mat_MPIAIJ*)A->data;
146: Mat B = aij->B,Bnew;
147: Mat_SeqAIJ *Baij = (Mat_SeqAIJ*)B->data;
149: PetscInt i,j,m = B->rmap->n,n = A->cmap->N,col,ct = 0,*garray = aij->garray,*nz,ec;
150: PetscScalar v;
153: /* free stuff related to matrix-vec multiply */
154: VecGetSize(aij->lvec,&ec); /* needed for PetscLogObjectMemory below */
155: VecDestroy(&aij->lvec);
156: VecScatterDestroy(&aij->Mvctx);
157: if (aij->colmap) {
158: #if defined(PETSC_USE_CTABLE)
159: PetscTableDestroy(&aij->colmap);
160: #else
161: PetscFree(aij->colmap);
162: PetscLogObjectMemory((PetscObject)A,-aij->B->cmap->n*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(m+1,&nz);
172: for (i=0; i<m; i++) {
173: nz[i] = Baij->i[i+1] - Baij->i[i];
174: }
175: MatCreate(PETSC_COMM_SELF,&Bnew);
176: MatSetSizes(Bnew,m,n,m,n);
177: MatSetBlockSizesFromMats(Bnew,A,A);
178: MatSetType(Bnew,((PetscObject)B)->type_name);
179: MatSeqAIJSetPreallocation(Bnew,0,nz);
181: ((Mat_SeqAIJ*)Bnew->data)->nonew = Baij->nonew; /* Inherit insertion error options. */
182: /*
183: Ensure that B's nonzerostate is monotonically increasing.
184: Or should this follow the MatSetValues() loop to preserve B's nonzerstate across a MatDisAssemble() call?
185: */
186: Bnew->nonzerostate = B->nonzerostate;
188: PetscFree(nz);
189: for (i=0; i<m; i++) {
190: for (j=Baij->i[i]; j<Baij->i[i+1]; j++) {
191: col = garray[Baij->j[ct]];
192: v = Baij->a[ct++];
193: MatSetValues(Bnew,1,&i,1,&col,&v,B->insertmode);
194: }
195: }
196: PetscFree(aij->garray);
197: PetscLogObjectMemory((PetscObject)A,-ec*sizeof(PetscInt));
198: MatDestroy(&B);
199: PetscLogObjectParent((PetscObject)A,(PetscObject)Bnew);
201: aij->B = Bnew;
202: A->was_assembled = PETSC_FALSE;
203: return(0);
204: }
206: /* ugly stuff added for Glenn someday we should fix this up */
208: static PetscInt *auglyrmapd = 0,*auglyrmapo = 0; /* mapping from the local ordering to the "diagonal" and "off-diagonal" parts of the local matrix */
209: static Vec auglydd = 0,auglyoo = 0; /* work vectors used to scale the two parts of the local matrix */
214: PetscErrorCode MatMPIAIJDiagonalScaleLocalSetUp(Mat inA,Vec scale)
215: {
216: Mat_MPIAIJ *ina = (Mat_MPIAIJ*) inA->data; /*access private part of matrix */
218: PetscInt i,n,nt,cstart,cend,no,*garray = ina->garray,*lindices;
219: PetscInt *r_rmapd,*r_rmapo;
222: MatGetOwnershipRange(inA,&cstart,&cend);
223: MatGetSize(ina->A,NULL,&n);
224: PetscCalloc1(inA->rmap->mapping->n+1,&r_rmapd);
225: nt = 0;
226: for (i=0; i<inA->rmap->mapping->n; i++) {
227: if (inA->rmap->mapping->indices[i] >= cstart && inA->rmap->mapping->indices[i] < cend) {
228: nt++;
229: r_rmapd[i] = inA->rmap->mapping->indices[i] + 1;
230: }
231: }
232: if (nt != n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Hmm nt %D n %D",nt,n);
233: PetscMalloc1(n+1,&auglyrmapd);
234: for (i=0; i<inA->rmap->mapping->n; i++) {
235: if (r_rmapd[i]) {
236: auglyrmapd[(r_rmapd[i]-1)-cstart] = i;
237: }
238: }
239: PetscFree(r_rmapd);
240: VecCreateSeq(PETSC_COMM_SELF,n,&auglydd);
242: PetscCalloc1(inA->cmap->N+1,&lindices);
243: for (i=0; i<ina->B->cmap->n; i++) {
244: lindices[garray[i]] = i+1;
245: }
246: no = inA->rmap->mapping->n - nt;
247: PetscCalloc1(inA->rmap->mapping->n+1,&r_rmapo);
248: nt = 0;
249: for (i=0; i<inA->rmap->mapping->n; i++) {
250: if (lindices[inA->rmap->mapping->indices[i]]) {
251: nt++;
252: r_rmapo[i] = lindices[inA->rmap->mapping->indices[i]];
253: }
254: }
255: if (nt > no) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Hmm nt %D no %D",nt,n);
256: PetscFree(lindices);
257: PetscMalloc1(nt+1,&auglyrmapo);
258: for (i=0; i<inA->rmap->mapping->n; i++) {
259: if (r_rmapo[i]) {
260: auglyrmapo[(r_rmapo[i]-1)] = i;
261: }
262: }
263: PetscFree(r_rmapo);
264: VecCreateSeq(PETSC_COMM_SELF,nt,&auglyoo);
265: return(0);
266: }
270: PetscErrorCode MatMPIAIJDiagonalScaleLocal(Mat A,Vec scale)
271: {
272: /* This routine should really be abandoned as it duplicates MatDiagonalScaleLocal */
276: PetscTryMethod(A,"MatDiagonalScaleLocal_C",(Mat,Vec),(A,scale));
277: return(0);
278: }
282: PetscErrorCode MatDiagonalScaleLocal_MPIAIJ(Mat A,Vec scale)
283: {
284: Mat_MPIAIJ *a = (Mat_MPIAIJ*) A->data; /*access private part of matrix */
286: PetscInt n,i;
287: PetscScalar *d,*o,*s;
290: if (!auglyrmapd) {
291: MatMPIAIJDiagonalScaleLocalSetUp(A,scale);
292: }
294: VecGetArray(scale,&s);
296: VecGetLocalSize(auglydd,&n);
297: VecGetArray(auglydd,&d);
298: for (i=0; i<n; i++) {
299: d[i] = s[auglyrmapd[i]]; /* copy "diagonal" (true local) portion of scale into dd vector */
300: }
301: VecRestoreArray(auglydd,&d);
302: /* column scale "diagonal" portion of local matrix */
303: MatDiagonalScale(a->A,NULL,auglydd);
305: VecGetLocalSize(auglyoo,&n);
306: VecGetArray(auglyoo,&o);
307: for (i=0; i<n; i++) {
308: o[i] = s[auglyrmapo[i]]; /* copy "off-diagonal" portion of scale into oo vector */
309: }
310: VecRestoreArray(scale,&s);
311: VecRestoreArray(auglyoo,&o);
312: /* column scale "off-diagonal" portion of local matrix */
313: MatDiagonalScale(a->B,NULL,auglyoo);
314: return(0);
315: }