xref: /petsc/src/mat/impls/baij/mpi/mmbaij.c (revision 73a2e727b99a2235b82a8c4152e0369961bfe5ed)
1a5eb4965SSatish Balay #ifdef PETSC_RCS_HEADER
2*73a2e727SSatish Balay static char vcid[] = "$Id: mmbaij.c,v 1.18 1999/01/08 18:18:13 balay Exp balay $";
38016bdd1SSatish Balay #endif
48016bdd1SSatish Balay 
58016bdd1SSatish Balay 
68016bdd1SSatish Balay /*
7d9653453SSatish Balay    Support for the parallel BAIJ matrix vector multiply
88016bdd1SSatish Balay */
970f55243SBarry Smith #include "src/mat/impls/baij/mpi/mpibaij.h"
108016bdd1SSatish Balay #include "src/vec/vecimpl.h"
118016bdd1SSatish Balay 
125615d1e5SSatish Balay #undef __FUNC__
135615d1e5SSatish Balay #define __FUNC__ "MatSetUpMultiply_MPIBAIJ"
14d9653453SSatish Balay int MatSetUpMultiply_MPIBAIJ(Mat mat)
158016bdd1SSatish Balay {
16d9653453SSatish Balay   Mat_MPIBAIJ *baij = (Mat_MPIBAIJ *) mat->data;
17d9653453SSatish Balay   Mat_SeqBAIJ *B = (Mat_SeqBAIJ *) (baij->B->data);
18d9653453SSatish Balay   int        Nbs = baij->Nbs,i,j,*indices,*aj = B->j,ierr,ec = 0,*garray;
19537820f0SBarry Smith   int        col,bs = baij->bs,*tmp,*stmp;
208016bdd1SSatish Balay   IS         from,to;
218016bdd1SSatish Balay   Vec        gvec;
22*73a2e727SSatish Balay #if defined (USE_CTABLE)
23*73a2e727SSatish Balay   Table gid1_lid1;
24*73a2e727SSatish Balay   CTablePos tpos;
25*73a2e727SSatish Balay   int gid, lid;
26*73a2e727SSatish Balay #endif
278016bdd1SSatish Balay 
283a40ed3dSBarry Smith   PetscFunctionBegin;
29*73a2e727SSatish Balay 
30*73a2e727SSatish Balay #if defined (USE_CTABLE)
31*73a2e727SSatish Balay   /* use a table - Mark Adams */
32*73a2e727SSatish Balay   TableCreate( &gid1_lid1, B->mbs );
33*73a2e727SSatish Balay   for ( i=0; i<B->mbs; i++ ) {
34*73a2e727SSatish Balay     for ( j=0; j<B->ilen[i]; j++ ) {
35*73a2e727SSatish Balay       int gid1 = aj[B->i[i] + j] + 1;
36*73a2e727SSatish Balay       if ( !TableFind( gid1_lid1, gid1 ) ){
37*73a2e727SSatish Balay         /* one based table */
38*73a2e727SSatish Balay         ierr = TableAdd( gid1_lid1, gid1, ++ec ); CHKERRQ(ierr);
39*73a2e727SSatish Balay       }
40*73a2e727SSatish Balay     }
41*73a2e727SSatish Balay   }
42*73a2e727SSatish Balay   /* form array of columns we need */
43*73a2e727SSatish Balay   garray = (int *) PetscMalloc( (ec+1)*sizeof(int) ); CHKPTRQ(garray);
44*73a2e727SSatish Balay   tmp    = (int *) PetscMalloc( (ec*bs+1)*sizeof(int) ); CHKPTRQ(tmp);
45*73a2e727SSatish Balay   ierr = TableGetHeadPosition( gid1_lid1, &tpos ); CHKERRQ(ierr);
46*73a2e727SSatish Balay   while( tpos ) {
47*73a2e727SSatish Balay     ierr = TableGetNext( gid1_lid1, &tpos, &gid, &lid ); CHKERRQ(ierr);
48*73a2e727SSatish Balay     gid--; lid--;
49*73a2e727SSatish Balay     garray[lid] = gid;
50*73a2e727SSatish Balay   }
51*73a2e727SSatish Balay   qsort( garray, ec, sizeof(int), intcomparc ); /* sort */
52*73a2e727SSatish Balay   TableRemoveAll( gid1_lid1 );
53*73a2e727SSatish Balay   for ( i=0; i<ec; i++ ) {
54*73a2e727SSatish Balay     ierr = TableAdd( gid1_lid1, garray[i] + 1, i + 1 ); CHKERRQ(ierr);
55*73a2e727SSatish Balay   }
56*73a2e727SSatish Balay   /* compact out the extra columns in B */
57*73a2e727SSatish Balay   for ( i=0; i<B->mbs; i++ ) {
58*73a2e727SSatish Balay     for ( j=0; j<B->ilen[i]; j++ ) {
59*73a2e727SSatish Balay       int gid1 = aj[B->i[i] + j] + 1;
60*73a2e727SSatish Balay       lid = TableFind( gid1_lid1, gid1 ) - 1;
61*73a2e727SSatish Balay 	aj[B->i[i] + j] = lid;
62*73a2e727SSatish Balay     }
63*73a2e727SSatish Balay   }
64*73a2e727SSatish Balay   B->nbs = ec;
65*73a2e727SSatish Balay   B->n   = ec*B->bs;
66*73a2e727SSatish Balay   TableDelete(gid1_lid1);
67*73a2e727SSatish Balay   /* Mark Adams */
68*73a2e727SSatish Balay #else
698016bdd1SSatish Balay   /* For the first stab we make an array as long as the number of columns */
70d9653453SSatish Balay   /* mark those columns that are in baij->B */
719dbe0bc3SSatish Balay   indices = (int *) PetscMalloc( (Nbs+1)*sizeof(int) ); CHKPTRQ(indices);
72d9653453SSatish Balay   PetscMemzero(indices,Nbs*sizeof(int));
73d9653453SSatish Balay   for ( i=0; i<B->mbs; i++ ) {
748016bdd1SSatish Balay     for ( j=0; j<B->ilen[i]; j++ ) {
75d9653453SSatish Balay       if (!indices[aj[B->i[i] + j]]) ec++;
76d9653453SSatish Balay       indices[aj[B->i[i] + j] ] = 1;
778016bdd1SSatish Balay     }
788016bdd1SSatish Balay   }
798016bdd1SSatish Balay 
808016bdd1SSatish Balay   /* form array of columns we need */
818016bdd1SSatish Balay   garray = (int *) PetscMalloc( (ec+1)*sizeof(int) ); CHKPTRQ(garray);
82d9653453SSatish Balay   tmp    = (int *) PetscMalloc( (ec*bs+1)*sizeof(int) ); CHKPTRQ(tmp)
838016bdd1SSatish Balay   ec = 0;
84d9653453SSatish Balay   for ( i=0; i<Nbs; i++ ) {
850bdbc534SSatish Balay     if (indices[i]) {
860bdbc534SSatish Balay       garray[ec++] = i;
870bdbc534SSatish Balay     }
888016bdd1SSatish Balay   }
898016bdd1SSatish Balay 
908016bdd1SSatish Balay   /* make indices now point into garray */
918016bdd1SSatish Balay   for ( i=0; i<ec; i++ ) {
92d9653453SSatish Balay     indices[garray[i]] = i;
938016bdd1SSatish Balay   }
948016bdd1SSatish Balay 
958016bdd1SSatish Balay   /* compact out the extra columns in B */
96d9653453SSatish Balay   for ( i=0; i<B->mbs; i++ ) {
978016bdd1SSatish Balay     for ( j=0; j<B->ilen[i]; j++ ) {
98d9653453SSatish Balay       aj[B->i[i] + j] = indices[aj[B->i[i] + j]];
998016bdd1SSatish Balay     }
1008016bdd1SSatish Balay   }
101d9653453SSatish Balay   B->nbs = ec;
102d9653453SSatish Balay   B->n   = ec*B->bs;
1038016bdd1SSatish Balay   PetscFree(indices);
104*73a2e727SSatish Balay #endif
1058016bdd1SSatish Balay 
10657b952d6SSatish Balay   for ( i=0,col=0; i<ec; i++ ) {
10757b952d6SSatish Balay     for ( j=0; j<bs; j++,col++) tmp[col] = garray[i]*bs+j;
108d9653453SSatish Balay   }
1098016bdd1SSatish Balay   /* create local vector that is used to scatter into */
110029af93fSBarry Smith   ierr = VecCreateSeq(PETSC_COMM_SELF,ec*bs,&baij->lvec); CHKERRQ(ierr);
1118016bdd1SSatish Balay 
112c16cb8f2SBarry Smith   /* create two temporary index sets for building scatter-gather */
113c16cb8f2SBarry Smith 
114029af93fSBarry Smith   /* ierr = ISCreateGeneral(PETSC_COMM_SELF,ec*bs,tmp,&from); CHKERRQ(ierr); */
115c16cb8f2SBarry Smith   for ( i=0,col=0; i<ec; i++ ) {
116c16cb8f2SBarry Smith     garray[i] = bs*garray[i];
117c16cb8f2SBarry Smith   }
118029af93fSBarry Smith   ierr = ISCreateBlock(PETSC_COMM_SELF,bs,ec,garray,&from);CHKERRQ(ierr);
119c16cb8f2SBarry Smith   for ( i=0,col=0; i<ec; i++ ) {
120c16cb8f2SBarry Smith     garray[i] = garray[i]/bs;
121c16cb8f2SBarry Smith   }
122c16cb8f2SBarry Smith 
123537820f0SBarry Smith   stmp = (int *) PetscMalloc( (ec+1)*sizeof(int) ); CHKPTRQ(stmp);
124537820f0SBarry Smith   for ( i=0; i<ec; i++ ) { stmp[i] = bs*i; }
125029af93fSBarry Smith   ierr = ISCreateBlock(PETSC_COMM_SELF,bs,ec,stmp,&to);CHKERRQ(ierr);
126537820f0SBarry Smith   PetscFree(stmp);
1278016bdd1SSatish Balay 
1288016bdd1SSatish Balay   /* create temporary global vector to generate scatter context */
1298016bdd1SSatish Balay   /* this is inefficient, but otherwise we must do either
1308016bdd1SSatish Balay      1) save garray until the first actual scatter when the vector is known or
1318016bdd1SSatish Balay      2) have another way of generating a scatter context without a vector.*/
132d9653453SSatish Balay   ierr = VecCreateMPI(mat->comm,baij->n,baij->N,&gvec); CHKERRQ(ierr);
1338016bdd1SSatish Balay 
1348016bdd1SSatish Balay   /* gnerate the scatter context */
135d9653453SSatish Balay   ierr = VecScatterCreate(gvec,from,baij->lvec,to,&baij->Mvctx);CHKERRQ(ierr);
13690f02eecSBarry Smith 
13790f02eecSBarry Smith   /*
13890f02eecSBarry Smith       Post the receives for the first matrix vector product. We sync-chronize after
13990f02eecSBarry Smith     this on the chance that the user immediately calls MatMult() after assemblying
14090f02eecSBarry Smith     the matrix.
14190f02eecSBarry Smith   */
14243a90d84SBarry Smith   ierr = VecScatterPostRecvs(gvec,baij->lvec,INSERT_VALUES,SCATTER_FORWARD,baij->Mvctx);CHKERRQ(ierr);
143ca161407SBarry Smith   ierr = MPI_Barrier(mat->comm);CHKERRQ(ierr);
14490f02eecSBarry Smith 
145d9653453SSatish Balay   PLogObjectParent(mat,baij->Mvctx);
146d9653453SSatish Balay   PLogObjectParent(mat,baij->lvec);
1478016bdd1SSatish Balay   PLogObjectParent(mat,from);
1488016bdd1SSatish Balay   PLogObjectParent(mat,to);
149d9653453SSatish Balay   baij->garray = garray;
1508016bdd1SSatish Balay   PLogObjectMemory(mat,(ec+1)*sizeof(int));
1518016bdd1SSatish Balay   ierr = ISDestroy(from); CHKERRQ(ierr);
1528016bdd1SSatish Balay   ierr = ISDestroy(to); CHKERRQ(ierr);
1538016bdd1SSatish Balay   ierr = VecDestroy(gvec);
154d9653453SSatish Balay   PetscFree(tmp);
1553a40ed3dSBarry Smith   PetscFunctionReturn(0);
1568016bdd1SSatish Balay }
1578016bdd1SSatish Balay 
1588016bdd1SSatish Balay 
1598016bdd1SSatish Balay /*
160d9653453SSatish Balay      Takes the local part of an already assembled MPIBAIJ matrix
1618016bdd1SSatish Balay    and disassembles it. This is to allow new nonzeros into the matrix
1628016bdd1SSatish Balay    that require more communication in the matrix vector multiply.
1638016bdd1SSatish Balay    Thus certain data-structures must be rebuilt.
1648016bdd1SSatish Balay 
1658016bdd1SSatish Balay    Kind of slow! But that's what application programmers get when
1668016bdd1SSatish Balay    they are sloppy.
1678016bdd1SSatish Balay */
1685615d1e5SSatish Balay #undef __FUNC__
1695615d1e5SSatish Balay #define __FUNC__ "DisAssemble_MPIBAIJ"
170d9653453SSatish Balay int DisAssemble_MPIBAIJ(Mat A)
1718016bdd1SSatish Balay {
172d9653453SSatish Balay   Mat_MPIBAIJ *baij = (Mat_MPIBAIJ *) A->data;
173d9653453SSatish Balay   Mat        B = baij->B,Bnew;
174d9653453SSatish Balay   Mat_SeqBAIJ *Bbaij = (Mat_SeqBAIJ*)B->data;
175d9653453SSatish Balay   int        ierr,i,j,mbs=Bbaij->mbs,n = baij->N,col,*garray=baij->garray;
176d9653453SSatish Balay   int        k,bs=baij->bs,bs2=baij->bs2,*rvals,*nz,ec,m=Bbaij->m;
177d9653453SSatish Balay   Scalar     *a=Bbaij->a;
1788016bdd1SSatish Balay 
1793a40ed3dSBarry Smith   PetscFunctionBegin;
1808016bdd1SSatish Balay   /* free stuff related to matrix-vec multiply */
181d9653453SSatish Balay   ierr = VecGetSize(baij->lvec,&ec); /* needed for PLogObjectMemory below */
182d9653453SSatish Balay   ierr = VecDestroy(baij->lvec); CHKERRQ(ierr); baij->lvec = 0;
183d9653453SSatish Balay   ierr = VecScatterDestroy(baij->Mvctx); CHKERRQ(ierr); baij->Mvctx = 0;
184d9653453SSatish Balay   if (baij->colmap) {
18548e59246SSatish Balay #if defined (USE_CTABLE)
18648e59246SSatish Balay     TableDelete(baij->colmap); baij->colmap = 0;
18748e59246SSatish Balay #else
188d9653453SSatish Balay     PetscFree(baij->colmap); baij->colmap = 0;
189d9653453SSatish Balay     PLogObjectMemory(A,-Bbaij->nbs*sizeof(int));
19048e59246SSatish Balay #endif
1918016bdd1SSatish Balay   }
1928016bdd1SSatish Balay 
1938016bdd1SSatish Balay   /* make sure that B is assembled so we can access its values */
1946d4a8577SBarry Smith   ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY); CHKERRQ(ierr);
1956d4a8577SBarry Smith   MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY); CHKERRQ(ierr);
1968016bdd1SSatish Balay 
1978016bdd1SSatish Balay   /* invent new B and copy stuff over */
198d9653453SSatish Balay   nz = (int *) PetscMalloc( mbs*sizeof(int) ); CHKPTRQ(nz);
199d9653453SSatish Balay   for ( i=0; i<mbs; i++ ) {
200d9653453SSatish Balay     nz[i] = Bbaij->i[i+1]-Bbaij->i[i];
2018016bdd1SSatish Balay   }
202029af93fSBarry Smith   ierr = MatCreateSeqBAIJ(PETSC_COMM_SELF,baij->bs,m,n,0,nz,&Bnew); CHKERRQ(ierr);
2038016bdd1SSatish Balay   PetscFree(nz);
204d9653453SSatish Balay 
205d9653453SSatish Balay   rvals = (int *) PetscMalloc(bs*sizeof(int)); CHKPTRQ(rvals);
206d9653453SSatish Balay   for ( i=0; i<mbs; i++ ) {
207d9653453SSatish Balay     rvals[0] = bs*i;
208d9653453SSatish Balay     for ( j=1; j<bs; j++ ) { rvals[j] = rvals[j-1] + 1; }
209d9653453SSatish Balay     for ( j=Bbaij->i[i]; j<Bbaij->i[i+1]; j++ ) {
21057b952d6SSatish Balay       col = garray[Bbaij->j[j]]*bs;
211d9653453SSatish Balay       for (k=0; k<bs; k++ ) {
212d9653453SSatish Balay         ierr = MatSetValues(Bnew,bs,rvals,1,&col,a+j*bs2,INSERT_VALUES);CHKERRQ(ierr);
213d9653453SSatish Balay         col++;
2148016bdd1SSatish Balay       }
2158016bdd1SSatish Balay     }
216d9653453SSatish Balay   }
217d9653453SSatish Balay   PetscFree(baij->garray); baij->garray = 0;
21857b952d6SSatish Balay   PetscFree(rvals);
2198016bdd1SSatish Balay   PLogObjectMemory(A,-ec*sizeof(int));
2208016bdd1SSatish Balay   ierr = MatDestroy(B); CHKERRQ(ierr);
2218016bdd1SSatish Balay   PLogObjectParent(A,Bnew);
222d9653453SSatish Balay   baij->B = Bnew;
2238016bdd1SSatish Balay   A->was_assembled = PETSC_FALSE;
2243a40ed3dSBarry Smith   PetscFunctionReturn(0);
2258016bdd1SSatish Balay }
2268016bdd1SSatish Balay 
2278016bdd1SSatish Balay 
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