xref: /petsc/src/mat/impls/baij/mpi/mmbaij.c (revision 32a1be0dcef81d15fbbfc8e2c803d0bb2cd88548)
1 /*$Id: mmbaij.c,v 1.34 2000/07/10 03:39:45 bsmith Exp bsmith $*/
2 
3 /*
4    Support for the parallel BAIJ matrix vector multiply
5 */
6 #include "src/mat/impls/baij/mpi/mpibaij.h"
7 #include "src/vec/vecimpl.h"
8 EXTERN int MatSetValues_SeqBAIJ(Mat,int,int*,int,int*,Scalar*,InsertMode);
9 
10 #undef __FUNC__
11 #define __FUNC__ /*<a name=""></a>*/"MatSetUpMultiply_MPIBAIJ"
12 int MatSetUpMultiply_MPIBAIJ(Mat mat)
13 {
14   Mat_MPIBAIJ        *baij = (Mat_MPIBAIJ*)mat->data;
15   Mat_SeqBAIJ        *B = (Mat_SeqBAIJ*)(baij->B->data);
16   int                Nbs = baij->Nbs,i,j,*indices,*aj = B->j,ierr,ec = 0,*garray;
17   int                bs = baij->bs,*stmp;
18   IS                 from,to;
19   Vec                gvec;
20 #if defined (PETSC_USE_CTABLE)
21   PetscTable         gid1_lid1;
22   PetscTablePosition tpos;
23   int                gid,lid;
24 #endif
25 
26   PetscFunctionBegin;
27 
28 #if defined (PETSC_USE_CTABLE)
29   /* use a table - Mark Adams */
30   PetscTableCreate(B->mbs,&gid1_lid1);
31   for (i=0; i<B->mbs; i++) {
32     for (j=0; j<B->ilen[i]; j++) {
33       int data,gid1 = aj[B->i[i]+j] + 1;
34       ierr = PetscTableFind(gid1_lid1,gid1,&data) ;CHKERRQ(ierr);
35       if (!data) {
36         /* one based table */
37         ierr = PetscTableAdd(gid1_lid1,gid1,++ec);CHKERRQ(ierr);
38       }
39     }
40   }
41   /* form array of columns we need */
42   garray = (int *)PetscMalloc((ec+1)*sizeof(int));CHKPTRQ(garray);
43   ierr   = PetscTableGetHeadPosition(gid1_lid1,&tpos);CHKERRQ(ierr);
44   while (tpos) {
45     ierr = PetscTableGetNext(gid1_lid1,&tpos,&gid,&lid);CHKERRQ(ierr);
46     gid--; lid--;
47     garray[lid] = gid;
48   }
49   ierr = PetscSortInt(ec,garray);CHKERRQ(ierr);
50   /* qsort(garray, ec, sizeof(int), intcomparcarc); */
51   ierr = PetscTableRemoveAll(gid1_lid1);CHKERRQ(ierr);
52   for (i=0; i<ec; i++) {
53     ierr = PetscTableAdd(gid1_lid1,garray[i]+1,i+1);CHKERRQ(ierr);
54   }
55   /* compact out the extra columns in B */
56   for (i=0; i<B->mbs; i++) {
57     for (j=0; j<B->ilen[i]; j++) {
58       int gid1 = aj[B->i[i] + j] + 1;
59       ierr = PetscTableFind(gid1_lid1,gid1,&lid);CHKERRQ(ierr);
60       lid --;
61       aj[B->i[i]+j] = lid;
62     }
63   }
64   B->nbs = ec;
65   B->n   = ec*B->bs;
66   ierr = PetscTableDelete(gid1_lid1);CHKERRQ(ierr);
67   /* Mark Adams */
68 #else
69   /* For the first stab we make an array as long as the number of columns */
70   /* mark those columns that are in baij->B */
71   indices = (int*)PetscMalloc((Nbs+1)*sizeof(int));CHKPTRQ(indices);
72   ierr    = PetscMemzero(indices,Nbs*sizeof(int));CHKERRQ(ierr);
73   for (i=0; i<B->mbs; i++) {
74     for (j=0; j<B->ilen[i]; j++) {
75       if (!indices[aj[B->i[i] + j]]) ec++;
76       indices[aj[B->i[i] + j]] = 1;
77     }
78   }
79 
80   /* form array of columns we need */
81   garray = (int*)PetscMalloc((ec+1)*sizeof(int));CHKPTRQ(garray);
82   ec = 0;
83   for (i=0; i<Nbs; i++) {
84     if (indices[i]) {
85       garray[ec++] = i;
86     }
87   }
88 
89   /* make indices now point into garray */
90   for (i=0; i<ec; i++) {
91     indices[garray[i]] = i;
92   }
93 
94   /* compact out the extra columns in B */
95   for (i=0; i<B->mbs; i++) {
96     for (j=0; j<B->ilen[i]; j++) {
97       aj[B->i[i] + j] = indices[aj[B->i[i] + j]];
98     }
99   }
100   B->nbs = ec;
101   B->n   = ec*B->bs;
102   ierr = PetscFree(indices);CHKERRQ(ierr);
103 #endif
104 
105   /* create local vector that is used to scatter into */
106   ierr = VecCreateSeq(PETSC_COMM_SELF,ec*bs,&baij->lvec);CHKERRQ(ierr);
107 
108   /* create two temporary index sets for building scatter-gather */
109   for (i=0; i<ec; i++) {
110     garray[i] = bs*garray[i];
111   }
112   ierr = ISCreateBlock(PETSC_COMM_SELF,bs,ec,garray,&from);CHKERRQ(ierr);
113   for (i=0; i<ec; i++) {
114     garray[i] = garray[i]/bs;
115   }
116 
117   stmp = (int*)PetscMalloc((ec+1)*sizeof(int));CHKPTRQ(stmp);
118   for (i=0; i<ec; i++) { stmp[i] = bs*i; }
119   ierr = ISCreateBlock(PETSC_COMM_SELF,bs,ec,stmp,&to);CHKERRQ(ierr);
120   ierr = PetscFree(stmp);CHKERRQ(ierr);
121 
122   /* create temporary global vector to generate scatter context */
123   /* this is inefficient, but otherwise we must do either
124      1) save garray until the first actual scatter when the vector is known or
125      2) have another way of generating a scatter context without a vector.*/
126   ierr = VecCreateMPI(mat->comm,baij->n,baij->N,&gvec);CHKERRQ(ierr);
127 
128   /* gnerate the scatter context */
129   ierr = VecScatterCreate(gvec,from,baij->lvec,to,&baij->Mvctx);CHKERRQ(ierr);
130 
131   /*
132       Post the receives for the first matrix vector product. We sync-chronize after
133     this on the chance that the user immediately calls MatMult() after assemblying
134     the matrix.
135   */
136   ierr = VecScatterPostRecvs(gvec,baij->lvec,INSERT_VALUES,SCATTER_FORWARD,baij->Mvctx);CHKERRQ(ierr);
137   ierr = MPI_Barrier(mat->comm);CHKERRQ(ierr);
138 
139   PLogObjectParent(mat,baij->Mvctx);
140   PLogObjectParent(mat,baij->lvec);
141   PLogObjectParent(mat,from);
142   PLogObjectParent(mat,to);
143   baij->garray = garray;
144   PLogObjectMemory(mat,(ec+1)*sizeof(int));
145   ierr = ISDestroy(from);CHKERRQ(ierr);
146   ierr = ISDestroy(to);CHKERRQ(ierr);
147   ierr = VecDestroy(gvec);CHKERRQ(ierr);
148   PetscFunctionReturn(0);
149 }
150 
151 
152 /*
153      Takes the local part of an already assembled MPIBAIJ matrix
154    and disassembles it. This is to allow new nonzeros into the matrix
155    that require more communication in the matrix vector multiply.
156    Thus certain data-structures must be rebuilt.
157 
158    Kind of slow! But that's what application programmers get when
159    they are sloppy.
160 */
161 #undef __FUNC__
162 #define __FUNC__ /*<a name=""></a>*/"DisAssemble_MPIBAIJ"
163 int DisAssemble_MPIBAIJ(Mat A)
164 {
165   Mat_MPIBAIJ *baij = (Mat_MPIBAIJ*)A->data;
166   Mat         B = baij->B,Bnew;
167   Mat_SeqBAIJ *Bbaij = (Mat_SeqBAIJ*)B->data;
168   int         ierr,i,j,mbs=Bbaij->mbs,n = baij->N,col,*garray=baij->garray;
169   int         k,bs=baij->bs,bs2=baij->bs2,*rvals,*nz,ec,m=Bbaij->m;
170   MatScalar   *a = Bbaij->a;
171 #if defined(PETSC_USE_MAT_SINGLE)
172   Scalar      *atmp = (Scalar*)PetscMalloc(baij->bs*sizeof(Scalar));
173   int         l;
174 #else
175   Scalar      *atmp;
176 #endif
177 
178   PetscFunctionBegin;
179   /* free stuff related to matrix-vec multiply */
180   ierr = VecGetSize(baij->lvec,&ec);CHKERRQ(ierr); /* needed for PLogObjectMemory below */
181   ierr = VecDestroy(baij->lvec);CHKERRQ(ierr); baij->lvec = 0;
182   ierr = VecScatterDestroy(baij->Mvctx);CHKERRQ(ierr); baij->Mvctx = 0;
183   if (baij->colmap) {
184 #if defined (PETSC_USE_CTABLE)
185     ierr = PetscTableDelete(baij->colmap); baij->colmap = 0;CHKERRQ(ierr);
186 #else
187     ierr = PetscFree(baij->colmap);CHKERRQ(ierr);
188     baij->colmap = 0;
189     PLogObjectMemory(A,-Bbaij->nbs*sizeof(int));
190 #endif
191   }
192 
193   /* make sure that B is assembled so we can access its values */
194   ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
195   ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
196 
197   /* invent new B and copy stuff over */
198   nz = (int*)PetscMalloc(mbs*sizeof(int));CHKPTRQ(nz);
199   for (i=0; i<mbs; i++) {
200     nz[i] = Bbaij->i[i+1]-Bbaij->i[i];
201   }
202   ierr = MatCreateSeqBAIJ(PETSC_COMM_SELF,baij->bs,m,n,0,nz,&Bnew);CHKERRQ(ierr);
203   ierr = PetscFree(nz);CHKERRQ(ierr);
204 
205   rvals = (int*)PetscMalloc(bs*sizeof(int));CHKPTRQ(rvals);
206   for (i=0; i<mbs; i++) {
207     rvals[0] = bs*i;
208     for (j=1; j<bs; j++) { rvals[j] = rvals[j-1] + 1; }
209     for (j=Bbaij->i[i]; j<Bbaij->i[i+1]; j++) {
210       col = garray[Bbaij->j[j]]*bs;
211       for (k=0; k<bs; k++) {
212 #if defined(PETSC_USE_MAT_SINGLE)
213         for (l=0; l<bs; l++) atmp[l] = a[j*bs2+l];
214 #else
215         atmp = a+j*bs2;
216 #endif
217         ierr = MatSetValues_SeqBAIJ(Bnew,bs,rvals,1,&col,atmp,B->insertmode);CHKERRQ(ierr);
218         col++;
219       }
220     }
221   }
222 #if defined(PETSC_USE_MAT_SINGLE)
223   ierr = PetscFree(atmp);CHKERRQ(ierr);
224 #endif
225   ierr = PetscFree(baij->garray);CHKERRQ(ierr);
226   baij->garray = 0;
227   ierr = PetscFree(rvals);CHKERRQ(ierr);
228   PLogObjectMemory(A,-ec*sizeof(int));
229   ierr = MatDestroy(B);CHKERRQ(ierr);
230   PLogObjectParent(A,Bnew);
231   baij->B = Bnew;
232   A->was_assembled = PETSC_FALSE;
233   PetscFunctionReturn(0);
234 }
235 
236 
237 
238