1 /*
2    Support for the parallel SELL matrix vector multiply
3 */
4 #include <../src/mat/impls/sell/mpi/mpisell.h>
5 #include <petsc/private/isimpl.h>    /* needed because accesses data structure of ISLocalToGlobalMapping directly */
6 
7 /*
8    Takes the local part of an already assembled MPISELL matrix
9    and disassembles it. This is to allow new nonzeros into the matrix
10    that require more communication in the matrix vector multiply.
11    Thus certain data-structures must be rebuilt.
12 
13    Kind of slow! But that's what application programmers get when
14    they are sloppy.
15 */
MatDisAssemble_MPISELL(Mat A)16 PetscErrorCode MatDisAssemble_MPISELL(Mat A)
17 {
18   Mat_MPISELL    *sell=(Mat_MPISELL*)A->data;
19   Mat            B=sell->B,Bnew;
20   Mat_SeqSELL    *Bsell=(Mat_SeqSELL*)B->data;
21   PetscInt       i,j,totalslices,N=A->cmap->N,ec,row;
22   PetscBool      isnonzero;
23   PetscErrorCode ierr;
24 
25   PetscFunctionBegin;
26   /* free stuff related to matrix-vec multiply */
27   ierr = VecGetSize(sell->lvec,&ec);CHKERRQ(ierr); /* needed for PetscLogObjectMemory below */
28   ierr = VecDestroy(&sell->lvec);CHKERRQ(ierr);
29   ierr = VecScatterDestroy(&sell->Mvctx);CHKERRQ(ierr);
30   if (sell->colmap) {
31 #if defined(PETSC_USE_CTABLE)
32     ierr = PetscTableDestroy(&sell->colmap);CHKERRQ(ierr);
33 #else
34     ierr = PetscFree(sell->colmap);CHKERRQ(ierr);
35     ierr = PetscLogObjectMemory((PetscObject)A,-sell->B->cmap->n*sizeof(PetscInt));CHKERRQ(ierr);
36 #endif
37   }
38 
39   /* make sure that B is assembled so we can access its values */
40   ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
41   ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
42 
43   /* invent new B and copy stuff over */
44   ierr = MatCreate(PETSC_COMM_SELF,&Bnew);CHKERRQ(ierr);
45   ierr = MatSetSizes(Bnew,B->rmap->n,N,B->rmap->n,N);CHKERRQ(ierr);
46   ierr = MatSetBlockSizesFromMats(Bnew,A,A);CHKERRQ(ierr);
47   ierr = MatSetType(Bnew,((PetscObject)B)->type_name);CHKERRQ(ierr);
48   ierr = MatSeqSELLSetPreallocation(Bnew,0,Bsell->rlen);CHKERRQ(ierr);
49   if (Bsell->nonew >= 0) { /* Inherit insertion error options (if positive). */
50     ((Mat_SeqSELL*)Bnew->data)->nonew = Bsell->nonew;
51   }
52 
53   /*
54    Ensure that B's nonzerostate is monotonically increasing.
55    Or should this follow the MatSetValues() loop to preserve B's nonzerstate across a MatDisAssemble() call?
56    */
57   Bnew->nonzerostate = B->nonzerostate;
58 
59   totalslices = B->rmap->n/8+((B->rmap->n & 0x07)?1:0); /* floor(n/8) */
60   for (i=0; i<totalslices; i++) { /* loop over slices */
61     for (j=Bsell->sliidx[i],row=0; j<Bsell->sliidx[i+1]; j++,row=((row+1)&0x07)) {
62       isnonzero = (PetscBool)((j-Bsell->sliidx[i])/8 < Bsell->rlen[8*i+row]);
63       if (isnonzero) {
64         ierr = MatSetValue(Bnew,8*i+row,sell->garray[Bsell->colidx[j]],Bsell->val[j],B->insertmode);CHKERRQ(ierr);
65       }
66     }
67   }
68 
69   ierr = PetscFree(sell->garray);CHKERRQ(ierr);
70   ierr = PetscLogObjectMemory((PetscObject)A,-ec*sizeof(PetscInt));CHKERRQ(ierr);
71   ierr = MatDestroy(&B);CHKERRQ(ierr);
72   ierr = PetscLogObjectParent((PetscObject)A,(PetscObject)Bnew);CHKERRQ(ierr);
73 
74   sell->B          = Bnew;
75   A->was_assembled = PETSC_FALSE;
76   A->assembled     = PETSC_FALSE;
77   PetscFunctionReturn(0);
78 }
79 
MatSetUpMultiply_MPISELL(Mat mat)80 PetscErrorCode MatSetUpMultiply_MPISELL(Mat mat)
81 {
82   Mat_MPISELL    *sell=(Mat_MPISELL*)mat->data;
83   Mat_SeqSELL    *B=(Mat_SeqSELL*)(sell->B->data);
84   PetscErrorCode ierr;
85   PetscInt       i,j,*bcolidx=B->colidx,ec=0,*garray,totalslices;
86   IS             from,to;
87   Vec            gvec;
88   PetscBool      isnonzero;
89 #if defined(PETSC_USE_CTABLE)
90   PetscTable         gid1_lid1;
91   PetscTablePosition tpos;
92   PetscInt           gid,lid;
93 #else
94   PetscInt N = mat->cmap->N,*indices;
95 #endif
96 
97   PetscFunctionBegin;
98   totalslices = sell->B->rmap->n/8+((sell->B->rmap->n & 0x07)?1:0); /* floor(n/8) */
99 
100   /* ec counts the number of columns that contain nonzeros */
101 #if defined(PETSC_USE_CTABLE)
102   /* use a table */
103   ierr = PetscTableCreate(sell->B->rmap->n,mat->cmap->N+1,&gid1_lid1);CHKERRQ(ierr);
104   for (i=0; i<totalslices; i++) { /* loop over slices */
105     for (j=B->sliidx[i]; j<B->sliidx[i+1]; j++) {
106       isnonzero = (PetscBool)((j-B->sliidx[i])/8 < B->rlen[(i<<3)+(j&0x07)]);
107       if (isnonzero) { /* check the mask bit */
108         PetscInt data,gid1 = bcolidx[j] + 1;
109         ierr = PetscTableFind(gid1_lid1,gid1,&data);CHKERRQ(ierr);
110         if (!data) {
111           /* one based table */
112           ierr = PetscTableAdd(gid1_lid1,gid1,++ec,INSERT_VALUES);CHKERRQ(ierr);
113         }
114       }
115     }
116   }
117 
118   /* form array of columns we need */
119   ierr = PetscMalloc1(ec+1,&garray);CHKERRQ(ierr);
120   ierr = PetscTableGetHeadPosition(gid1_lid1,&tpos);CHKERRQ(ierr);
121   while (tpos) {
122     ierr = PetscTableGetNext(gid1_lid1,&tpos,&gid,&lid);CHKERRQ(ierr);
123     gid--;
124     lid--;
125     garray[lid] = gid;
126   }
127   ierr = PetscSortInt(ec,garray);CHKERRQ(ierr); /* sort, and rebuild */
128   ierr = PetscTableRemoveAll(gid1_lid1);CHKERRQ(ierr);
129   for (i=0; i<ec; i++) {
130     ierr = PetscTableAdd(gid1_lid1,garray[i]+1,i+1,INSERT_VALUES);CHKERRQ(ierr);
131   }
132 
133   /* compact out the extra columns in B */
134   for (i=0; i<totalslices; i++) { /* loop over slices */
135     for (j=B->sliidx[i]; j<B->sliidx[i+1]; j++) {
136       isnonzero = (PetscBool)((j-B->sliidx[i])/8 < B->rlen[(i<<3)+(j&0x07)]);
137       if (isnonzero) {
138         PetscInt gid1 = bcolidx[j] + 1;
139         ierr = PetscTableFind(gid1_lid1,gid1,&lid);CHKERRQ(ierr);
140         lid--;
141         bcolidx[j] = lid;
142       }
143     }
144   }
145   ierr = PetscLayoutDestroy(&sell->B->cmap);CHKERRQ(ierr);
146   ierr = PetscLayoutCreateFromSizes(PetscObjectComm((PetscObject)sell->B),ec,ec,1,&sell->B->cmap);CHKERRQ(ierr);
147   ierr = PetscTableDestroy(&gid1_lid1);CHKERRQ(ierr);
148 #else
149   /* Make an array as long as the number of columns */
150   ierr = PetscCalloc1(N+1,&indices);CHKERRQ(ierr);
151   /* mark those columns that are in sell->B */
152   for (i=0; i<totalslices; i++) { /* loop over slices */
153     for (j=B->sliidx[i]; j<B->sliidx[i+1]; j++) {
154       isnonzero = (PetscBool)((j-B->sliidx[i])/8 < B->rlen[(i<<3)+(j&0x07)]);
155       if (isnonzero) {
156         if (!indices[bcolidx[j]]) ec++;
157         indices[bcolidx[j]] = 1;
158       }
159     }
160   }
161 
162   /* form array of columns we need */
163   ierr = PetscMalloc1(ec+1,&garray);CHKERRQ(ierr);
164   ec   = 0;
165   for (i=0; i<N; i++) {
166     if (indices[i]) garray[ec++] = i;
167   }
168 
169   /* make indices now point into garray */
170   for (i=0; i<ec; i++) {
171     indices[garray[i]] = i;
172   }
173 
174   /* compact out the extra columns in B */
175   for (i=0; i<totalslices; i++) { /* loop over slices */
176     for (j=B->sliidx[i]; j<B->sliidx[i+1]; j++) {
177       isnonzero = (PetscBool)((j-B->sliidx[i])/8 < B->rlen[(i<<3)+(j&0x07)]);
178       if (isnonzero) bcolidx[j] = indices[bcolidx[j]];
179     }
180   }
181   ierr = PetscLayoutDestroy(&sell->B->cmap);CHKERRQ(ierr);
182   ierr = PetscLayoutCreateFromSizes(PetscObjectComm((PetscObject)sell->B),ec,ec,1,&sell->B->cmap);CHKERRQ(ierr);
183   ierr = PetscFree(indices);CHKERRQ(ierr);
184 #endif
185   /* create local vector that is used to scatter into */
186   ierr = VecCreateSeq(PETSC_COMM_SELF,ec,&sell->lvec);CHKERRQ(ierr);
187   /* create two temporary Index sets for build scatter gather */
188   ierr = ISCreateGeneral(PETSC_COMM_SELF,ec,garray,PETSC_COPY_VALUES,&from);CHKERRQ(ierr);
189   ierr = ISCreateStride(PETSC_COMM_SELF,ec,0,1,&to);CHKERRQ(ierr);
190 
191   /* create temporary global vector to generate scatter context */
192   /* This does not allocate the array's memory so is efficient */
193   ierr = VecCreateMPIWithArray(PetscObjectComm((PetscObject)mat),1,mat->cmap->n,mat->cmap->N,NULL,&gvec);CHKERRQ(ierr);
194 
195   /* generate the scatter context */
196   ierr = VecScatterCreate(gvec,from,sell->lvec,to,&sell->Mvctx);CHKERRQ(ierr);
197   ierr = PetscLogObjectParent((PetscObject)mat,(PetscObject)sell->Mvctx);CHKERRQ(ierr);
198   ierr = PetscLogObjectParent((PetscObject)mat,(PetscObject)sell->lvec);CHKERRQ(ierr);
199   ierr = PetscLogObjectParent((PetscObject)mat,(PetscObject)from);CHKERRQ(ierr);
200   ierr = PetscLogObjectParent((PetscObject)mat,(PetscObject)to);CHKERRQ(ierr);
201 
202   sell->garray = garray;
203 
204   ierr = PetscLogObjectMemory((PetscObject)mat,(ec+1)*sizeof(PetscInt));CHKERRQ(ierr);
205   ierr = ISDestroy(&from);CHKERRQ(ierr);
206   ierr = ISDestroy(&to);CHKERRQ(ierr);
207   ierr = VecDestroy(&gvec);CHKERRQ(ierr);
208   PetscFunctionReturn(0);
209 }
210 
211 /*      ugly stuff added for Glenn someday we should fix this up */
212 static PetscInt *auglyrmapd = NULL,*auglyrmapo = NULL; /* mapping from the local ordering to the "diagonal" and "off-diagonal" parts of the local matrix */
213 static Vec auglydd          = NULL,auglyoo     = NULL; /* work vectors used to scale the two parts of the local matrix */
214 
MatMPISELLDiagonalScaleLocalSetUp(Mat inA,Vec scale)215 PetscErrorCode MatMPISELLDiagonalScaleLocalSetUp(Mat inA,Vec scale)
216 {
217   Mat_MPISELL    *ina=(Mat_MPISELL*)inA->data; /*access private part of matrix */
218   PetscErrorCode ierr;
219   PetscInt       i,n,nt,cstart,cend,no,*garray=ina->garray,*lindices;
220   PetscInt       *r_rmapd,*r_rmapo;
221 
222   PetscFunctionBegin;
223   ierr = MatGetOwnershipRange(inA,&cstart,&cend);CHKERRQ(ierr);
224   ierr = MatGetSize(ina->A,NULL,&n);CHKERRQ(ierr);
225   ierr = PetscCalloc1(inA->rmap->mapping->n+1,&r_rmapd);CHKERRQ(ierr);
226   nt   = 0;
227   for (i=0; i<inA->rmap->mapping->n; i++) {
228     if (inA->rmap->mapping->indices[i] >= cstart && inA->rmap->mapping->indices[i] < cend) {
229       nt++;
230       r_rmapd[i] = inA->rmap->mapping->indices[i] + 1;
231     }
232   }
233   if (nt != n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Hmm nt %D n %D",nt,n);
234   ierr = PetscMalloc1(n+1,&auglyrmapd);CHKERRQ(ierr);
235   for (i=0; i<inA->rmap->mapping->n; i++) {
236     if (r_rmapd[i]) {
237       auglyrmapd[(r_rmapd[i]-1)-cstart] = i;
238     }
239   }
240   ierr = PetscFree(r_rmapd);CHKERRQ(ierr);
241   ierr = VecCreateSeq(PETSC_COMM_SELF,n,&auglydd);CHKERRQ(ierr);
242   ierr = PetscCalloc1(inA->cmap->N+1,&lindices);CHKERRQ(ierr);
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   ierr = PetscCalloc1(inA->rmap->mapping->n+1,&r_rmapo);CHKERRQ(ierr);
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   ierr = PetscFree(lindices);CHKERRQ(ierr);
257   ierr = PetscMalloc1(nt+1,&auglyrmapo);CHKERRQ(ierr);
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   ierr = PetscFree(r_rmapo);CHKERRQ(ierr);
264   ierr = VecCreateSeq(PETSC_COMM_SELF,nt,&auglyoo);CHKERRQ(ierr);
265   PetscFunctionReturn(0);
266 }
267 
MatDiagonalScaleLocal_MPISELL(Mat A,Vec scale)268 PetscErrorCode MatDiagonalScaleLocal_MPISELL(Mat A,Vec scale)
269 {
270   Mat_MPISELL       *a=(Mat_MPISELL*)A->data; /*access private part of matrix */
271   PetscErrorCode    ierr;
272   PetscInt          n,i;
273   PetscScalar       *d,*o;
274   const PetscScalar *s;
275 
276   PetscFunctionBegin;
277   if (!auglyrmapd) {
278     ierr = MatMPISELLDiagonalScaleLocalSetUp(A,scale);CHKERRQ(ierr);
279   }
280   ierr = VecGetArrayRead(scale,&s);CHKERRQ(ierr);
281   ierr = VecGetLocalSize(auglydd,&n);CHKERRQ(ierr);
282   ierr = VecGetArray(auglydd,&d);CHKERRQ(ierr);
283   for (i=0; i<n; i++) {
284     d[i] = s[auglyrmapd[i]]; /* copy "diagonal" (true local) portion of scale into dd vector */
285   }
286   ierr = VecRestoreArray(auglydd,&d);CHKERRQ(ierr);
287   /* column scale "diagonal" portion of local matrix */
288   ierr = MatDiagonalScale(a->A,NULL,auglydd);CHKERRQ(ierr);
289   ierr = VecGetLocalSize(auglyoo,&n);CHKERRQ(ierr);
290   ierr = VecGetArray(auglyoo,&o);CHKERRQ(ierr);
291   for (i=0; i<n; i++) {
292     o[i] = s[auglyrmapo[i]]; /* copy "off-diagonal" portion of scale into oo vector */
293   }
294   ierr = VecRestoreArrayRead(scale,&s);CHKERRQ(ierr);
295   ierr = VecRestoreArray(auglyoo,&o);CHKERRQ(ierr);
296   /* column scale "off-diagonal" portion of local matrix */
297   ierr = MatDiagonalScale(a->B,NULL,auglyoo);CHKERRQ(ierr);
298   PetscFunctionReturn(0);
299 }
300