xref: /petsc/src/mat/impls/baij/mpi/mmbaij.c (revision 95d5f7c29374efcfd2ca44c2fe93981fbc2b4454)

/*$Id: mmbaij.c,v 1.31 2000/04/09 04:36:25 bsmith Exp bsmith $*/

/*
   Support for the parallel BAIJ matrix vector multiply
*/
#include "src/mat/impls/baij/mpi/mpibaij.h"
#include "src/vec/vecimpl.h"
extern int MatSetValues_SeqBAIJ(Mat,int,int*,int,int*,Scalar*,InsertMode);

#undef __FUNC__
#define __FUNC__ /*<a name=""></a>*/"MatSetUpMultiply_MPIBAIJ"
int MatSetUpMultiply_MPIBAIJ(Mat mat)
{
  Mat_MPIBAIJ        *baij = (Mat_MPIBAIJ*)mat->data;
  Mat_SeqBAIJ        *B = (Mat_SeqBAIJ*)(baij->B->data);
  int                Nbs = baij->Nbs,i,j,*indices,*aj = B->j,ierr,ec = 0,*garray;
  int                col,bs = baij->bs,*tmp,*stmp;
  IS                 from,to;
  Vec                gvec;
#if defined (PETSC_USE_CTABLE)
  PetscTable         gid1_lid1;
  PetscTablePosition tpos;
  int                gid,lid;
#endif

  PetscFunctionBegin;

#if defined (PETSC_USE_CTABLE)
  /* use a table - Mark Adams */
  PetscTableCreate(B->mbs,&gid1_lid1);
  for (i=0; i<B->mbs; i++) {
    for (j=0; j<B->ilen[i]; j++) {
      int data,gid1 = aj[B->i[i]+j] + 1;
      ierr = PetscTableFind(gid1_lid1,gid1,&data) ;CHKERRQ(ierr);
      if (!data) {
        /* one based table */
        ierr = PetscTableAdd(gid1_lid1,gid1,++ec);CHKERRQ(ierr);
      }
    }
  }
  /* form array of columns we need */
  garray = (int *)PetscMalloc((ec+1)*sizeof(int));CHKPTRQ(garray);
  tmp    = (int *)PetscMalloc((ec*bs+1)*sizeof(int));CHKPTRQ(tmp);
  ierr   = PetscTableGetHeadPosition(gid1_lid1,&tpos);CHKERRQ(ierr);
  while (tpos) {
    ierr = PetscTableGetNext(gid1_lid1,&tpos,&gid,&lid);CHKERRQ(ierr);
    gid--; lid--;
    garray[lid] = gid;
  }
  ierr = PetscSortInt(ec,garray);CHKERRQ(ierr);
  /* qsort(garray, ec, sizeof(int), intcomparcarc); */
  ierr = PetscTableRemoveAll(gid1_lid1);CHKERRQ(ierr);
  for (i=0; i<ec; i++) {
    ierr = PetscTableAdd(gid1_lid1,garray[i]+1,i+1);CHKERRQ(ierr);
  }
  /* compact out the extra columns in B */
  for (i=0; i<B->mbs; i++) {
    for (j=0; j<B->ilen[i]; j++) {
      int gid1 = aj[B->i[i] + j] + 1;
      ierr = PetscTableFind(gid1_lid1,gid1,&lid);CHKERRQ(ierr);
      lid --;
      aj[B->i[i]+j] = lid;
    }
  }
  B->nbs = ec;
  B->n   = ec*B->bs;
  ierr = PetscTableDelete(gid1_lid1);CHKERRQ(ierr);
  /* Mark Adams */
#else
  /* For the first stab we make an array as long as the number of columns */
  /* mark those columns that are in baij->B */
  indices = (int*)PetscMalloc((Nbs+1)*sizeof(int));CHKPTRQ(indices);
  ierr = PetscMemzero(indices,Nbs*sizeof(int));CHKERRQ(ierr);
  for (i=0; i<B->mbs; i++) {
    for (j=0; j<B->ilen[i]; j++) {
      if (!indices[aj[B->i[i] + j]]) ec++;
      indices[aj[B->i[i] + j] ] = 1;
    }
  }

  /* form array of columns we need */
  garray = (int*)PetscMalloc((ec+1)*sizeof(int));CHKPTRQ(garray);
  tmp    = (int*)PetscMalloc((ec*bs+1)*sizeof(int));CHKPTRQ(tmp)
  ec = 0;
  for (i=0; i<Nbs; i++) {
    if (indices[i]) {
      garray[ec++] = i;
    }
  }

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

  /* compact out the extra columns in B */
  for (i=0; i<B->mbs; i++) {
    for (j=0; j<B->ilen[i]; j++) {
      aj[B->i[i] + j] = indices[aj[B->i[i] + j]];
    }
  }
  B->nbs = ec;
  B->n   = ec*B->bs;
  ierr = PetscFree(indices);CHKERRQ(ierr);
#endif

  for (i=0,col=0; i<ec; i++) {
    for (j=0; j<bs; j++,col++) tmp[col] = garray[i]*bs+j;
  }
  /* create local vector that is used to scatter into */
  ierr = VecCreateSeq(PETSC_COMM_SELF,ec*bs,&baij->lvec);CHKERRQ(ierr);

  /* create two temporary index sets for building scatter-gather */

  /* ierr = ISCreateGeneral(PETSC_COMM_SELF,ec*bs,tmp,&from);CHKERRQ(ierr); */
  for (i=0,col=0; i<ec; i++) {
    garray[i] = bs*garray[i];
  }
  ierr = ISCreateBlock(PETSC_COMM_SELF,bs,ec,garray,&from);CHKERRQ(ierr);
  for (i=0,col=0; i<ec; i++) {
    garray[i] = garray[i]/bs;
  }

  stmp = (int*)PetscMalloc((ec+1)*sizeof(int));CHKPTRQ(stmp);
  for (i=0; i<ec; i++) { stmp[i] = bs*i; }
  ierr = ISCreateBlock(PETSC_COMM_SELF,bs,ec,stmp,&to);CHKERRQ(ierr);
  ierr = PetscFree(stmp);CHKERRQ(ierr);

  /* create temporary global vector to generate scatter context */
  /* this is inefficient, but otherwise we must do either
     1) save garray until the first actual scatter when the vector is known or
     2) have another way of generating a scatter context without a vector.*/
  ierr = VecCreateMPI(mat->comm,baij->n,baij->N,&gvec);CHKERRQ(ierr);

  /* gnerate the scatter context */
  ierr = VecScatterCreate(gvec,from,baij->lvec,to,&baij->Mvctx);CHKERRQ(ierr);

  /*
      Post the receives for the first matrix vector product. We sync-chronize after
    this on the chance that the user immediately calls MatMult() after assemblying
    the matrix.
  */
  ierr = VecScatterPostRecvs(gvec,baij->lvec,INSERT_VALUES,SCATTER_FORWARD,baij->Mvctx);CHKERRQ(ierr);
  ierr = MPI_Barrier(mat->comm);CHKERRQ(ierr);

  PLogObjectParent(mat,baij->Mvctx);
  PLogObjectParent(mat,baij->lvec);
  PLogObjectParent(mat,from);
  PLogObjectParent(mat,to);
  baij->garray = garray;
  PLogObjectMemory(mat,(ec+1)*sizeof(int));
  ierr = ISDestroy(from);CHKERRQ(ierr);
  ierr = ISDestroy(to);CHKERRQ(ierr);
  ierr = VecDestroy(gvec);CHKERRQ(ierr);
  ierr = PetscFree(tmp);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}


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

   Kind of slow! But that's what application programmers get when
   they are sloppy.
*/
#undef __FUNC__
#define __FUNC__ /*<a name=""></a>*/"DisAssemble_MPIBAIJ"
int DisAssemble_MPIBAIJ(Mat A)
{
  Mat_MPIBAIJ *baij = (Mat_MPIBAIJ*)A->data;
  Mat         B = baij->B,Bnew;
  Mat_SeqBAIJ *Bbaij = (Mat_SeqBAIJ*)B->data;
  int         ierr,i,j,mbs=Bbaij->mbs,n = baij->N,col,*garray=baij->garray;
  int         k,bs=baij->bs,bs2=baij->bs2,*rvals,*nz,ec,m=Bbaij->m;
  MatScalar   *a = Bbaij->a;
#if defined(PETSC_USE_MAT_SINGLE)
  Scalar      *atmp = (Scalar*)PetscMalloc(baij->bs*sizeof(Scalar));
  int         l;
#else
  Scalar      *atmp;
#endif

  PetscFunctionBegin;
  /* free stuff related to matrix-vec multiply */
  ierr = VecGetSize(baij->lvec,&ec);CHKERRQ(ierr); /* needed for PLogObjectMemory below */
  ierr = VecDestroy(baij->lvec);CHKERRQ(ierr); baij->lvec = 0;
  ierr = VecScatterDestroy(baij->Mvctx);CHKERRQ(ierr); baij->Mvctx = 0;
  if (baij->colmap) {
#if defined (PETSC_USE_CTABLE)
    ierr = PetscTableDelete(baij->colmap); baij->colmap = 0;CHKERRQ(ierr);
#else
    ierr = PetscFree(baij->colmap);CHKERRQ(ierr);
    baij->colmap = 0;
    PLogObjectMemory(A,-Bbaij->nbs*sizeof(int));
#endif
  }

  /* make sure that B is assembled so we can access its values */
  ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* invent new B and copy stuff over */
  nz = (int*)PetscMalloc(mbs*sizeof(int));CHKPTRQ(nz);
  for (i=0; i<mbs; i++) {
    nz[i] = Bbaij->i[i+1]-Bbaij->i[i];
  }
  ierr = MatCreateSeqBAIJ(PETSC_COMM_SELF,baij->bs,m,n,0,nz,&Bnew);CHKERRQ(ierr);
  ierr = PetscFree(nz);CHKERRQ(ierr);

  rvals = (int*)PetscMalloc(bs*sizeof(int));CHKPTRQ(rvals);
  for (i=0; i<mbs; i++) {
    rvals[0] = bs*i;
    for (j=1; j<bs; j++) { rvals[j] = rvals[j-1] + 1; }
    for (j=Bbaij->i[i]; j<Bbaij->i[i+1]; j++) {
      col = garray[Bbaij->j[j]]*bs;
      for (k=0; k<bs; k++) {
#if defined(PETSC_USE_MAT_SINGLE)
        for (l=0; l<bs; l++) atmp[l] = a[j*bs2+l];
#else
        atmp = a+j*bs2;
#endif
        ierr = MatSetValues_SeqBAIJ(Bnew,bs,rvals,1,&col,atmp,B->insertmode);CHKERRQ(ierr);
        col++;
      }
    }
  }
#if defined(PETSC_USE_MAT_SINGLE)
  ierr = PetscFree(atmp);CHKERRQ(ierr);
#endif
  ierr = PetscFree(baij->garray);CHKERRQ(ierr);
  baij->garray = 0;
  ierr = PetscFree(rvals);CHKERRQ(ierr);
  PLogObjectMemory(A,-ec*sizeof(int));
  ierr = MatDestroy(B);CHKERRQ(ierr);
  PLogObjectParent(A,Bnew);
  baij->B = Bnew;
  A->was_assembled = PETSC_FALSE;
  PetscFunctionReturn(0);
}