xref: /petsc/src/mat/impls/adj/mpi/mpiadj.c (revision 4e7234bf172ce7019c4948834d73bd3002d026ba)

/*$Id: mpiadj.c,v 1.66 2001/08/07 03:02:59 balay Exp $*/

/*
    Defines the basic matrix operations for the ADJ adjacency list matrix data-structure.
*/
#include "src/mat/impls/adj/mpi/mpiadj.h"
#include "petscsys.h"

#undef __FUNCT__
#define __FUNCT__ "MatView_MPIAdj_ASCII"
int MatView_MPIAdj_ASCII(Mat A,PetscViewer viewer)
{
  Mat_MPIAdj        *a = (Mat_MPIAdj*)A->data;
  int               ierr,i,j,m = A->m;
  char              *name;
  PetscViewerFormat format;

  PetscFunctionBegin;
  ierr = PetscObjectGetName((PetscObject)A,&name);CHKERRQ(ierr);
  ierr = PetscViewerGetFormat(viewer,&format);CHKERRQ(ierr);
  if (format == PETSC_VIEWER_ASCII_INFO) {
    PetscFunctionReturn(0);
  } else if (format == PETSC_VIEWER_ASCII_MATLAB) {
    SETERRQ(PETSC_ERR_SUP,"Matlab format not supported");
  } else {
    ierr = PetscViewerASCIIUseTabs(viewer,PETSC_NO);CHKERRQ(ierr);
    for (i=0; i<m; i++) {
      ierr = PetscViewerASCIISynchronizedPrintf(viewer,"row %d:",i+a->rstart);CHKERRQ(ierr);
      for (j=a->i[i]; j<a->i[i+1]; j++) {
        ierr = PetscViewerASCIISynchronizedPrintf(viewer," %d ",a->j[j]);CHKERRQ(ierr);
      }
      ierr = PetscViewerASCIISynchronizedPrintf(viewer,"\n");CHKERRQ(ierr);
    }
    ierr = PetscViewerASCIIUseTabs(viewer,PETSC_YES);CHKERRQ(ierr);
  }
  ierr = PetscViewerFlush(viewer);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatView_MPIAdj"
int MatView_MPIAdj(Mat A,PetscViewer viewer)
{
  int        ierr;
  PetscTruth isascii;

  PetscFunctionBegin;
  ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_ASCII,&isascii);CHKERRQ(ierr);
  if (isascii) {
    ierr = MatView_MPIAdj_ASCII(A,viewer);CHKERRQ(ierr);
  } else {
    SETERRQ1(1,"Viewer type %s not supported by MPIAdj",((PetscObject)viewer)->type_name);
  }
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatDestroy_MPIAdj"
int MatDestroy_MPIAdj(Mat mat)
{
  Mat_MPIAdj *a = (Mat_MPIAdj*)mat->data;
  int        ierr;

  PetscFunctionBegin;
#if defined(PETSC_USE_LOG)
  PetscLogObjectState((PetscObject)mat,"Rows=%d, Cols=%d, NZ=%d",mat->m,mat->n,a->nz);
#endif
  if (a->diag) {ierr = PetscFree(a->diag);CHKERRQ(ierr);}
  if (a->freeaij) {
    ierr = PetscFree(a->i);CHKERRQ(ierr);
    ierr = PetscFree(a->j);CHKERRQ(ierr);
    if (a->values) {ierr = PetscFree(a->values);CHKERRQ(ierr);}
  }
  ierr = PetscFree(a->rowners);CHKERRQ(ierr);
  ierr = PetscFree(a);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatSetOption_MPIAdj"
int MatSetOption_MPIAdj(Mat A,MatOption op)
{
  Mat_MPIAdj *a = (Mat_MPIAdj*)A->data;

  PetscFunctionBegin;
  switch (op) {
  case MAT_STRUCTURALLY_SYMMETRIC:
    a->symmetric = PETSC_TRUE;
    break;
  default:
    PetscLogInfo(A,"MatSetOption_MPIAdj:Option ignored\n");
    break;
  }
  PetscFunctionReturn(0);
}


/*
     Adds diagonal pointers to sparse matrix structure.
*/

#undef __FUNCT__
#define __FUNCT__ "MatMarkDiagonal_MPIAdj"
int MatMarkDiagonal_MPIAdj(Mat A)
{
  Mat_MPIAdj *a = (Mat_MPIAdj*)A->data;
  int        i,j,*diag,m = A->m,ierr;

  PetscFunctionBegin;
  ierr = PetscMalloc((m+1)*sizeof(int),&diag);CHKERRQ(ierr);
  PetscLogObjectMemory(A,(m+1)*sizeof(int));
  for (i=0; i<A->m; i++) {
    for (j=a->i[i]; j<a->i[i+1]; j++) {
      if (a->j[j] == i) {
        diag[i] = j;
        break;
      }
    }
  }
  a->diag = diag;
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatGetRow_MPIAdj"
int MatGetRow_MPIAdj(Mat A,int row,int *nz,int **idx,PetscScalar **v)
{
  Mat_MPIAdj *a = (Mat_MPIAdj*)A->data;
  int        *itmp;

  PetscFunctionBegin;
  row -= a->rstart;

  if (row < 0 || row >= A->m) SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,"Row out of range");

  *nz = a->i[row+1] - a->i[row];
  if (v) *v = PETSC_NULL;
  if (idx) {
    itmp = a->j + a->i[row];
    if (*nz) {
      *idx = itmp;
    }
    else *idx = 0;
  }
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatRestoreRow_MPIAdj"
int MatRestoreRow_MPIAdj(Mat A,int row,int *nz,int **idx,PetscScalar **v)
{
  PetscFunctionBegin;
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatGetBlockSize_MPIAdj"
int MatGetBlockSize_MPIAdj(Mat A,int *bs)
{
  PetscFunctionBegin;
  *bs = 1;
  PetscFunctionReturn(0);
}


#undef __FUNCT__
#define __FUNCT__ "MatEqual_MPIAdj"
int MatEqual_MPIAdj(Mat A,Mat B,PetscTruth* flg)
{
  Mat_MPIAdj *a = (Mat_MPIAdj *)A->data,*b = (Mat_MPIAdj *)B->data;
  int         ierr;
  PetscTruth  flag;

  PetscFunctionBegin;
  /* If the  matrix dimensions are not equal,or no of nonzeros */
  if ((A->m != B->m) ||(a->nz != b->nz)) {
    flag = PETSC_FALSE;
  }

  /* if the a->i are the same */
  ierr = PetscMemcmp(a->i,b->i,(A->m+1)*sizeof(int),&flag);CHKERRQ(ierr);

  /* if a->j are the same */
  ierr = PetscMemcmp(a->j,b->j,(a->nz)*sizeof(int),&flag);CHKERRQ(ierr);

  ierr = MPI_Allreduce(&flag,flg,1,MPI_INT,MPI_LAND,A->comm);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatGetRowIJ_MPIAdj"
int MatGetRowIJ_MPIAdj(Mat A,int oshift,PetscTruth symmetric,int *m,int *ia[],int *ja[],PetscTruth *done)
{
  int        ierr,size,i;
  Mat_MPIAdj *a = (Mat_MPIAdj *)A->data;

  PetscFunctionBegin;
  ierr = MPI_Comm_size(A->comm,&size);CHKERRQ(ierr);
  if (size > 1) {*done = PETSC_FALSE; PetscFunctionReturn(0);}
  *m    = A->m;
  *ia   = a->i;
  *ja   = a->j;
  *done = PETSC_TRUE;
  if (oshift) {
    for (i=0; i<(*ia)[*m]; i++) {
      (*ja)[i]++;
    }
    for (i=0; i<=(*m); i++) (*ia)[i]++;
  }
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatRestoreRowIJ_MPIAdj"
int MatRestoreRowIJ_MPIAdj(Mat A,int oshift,PetscTruth symmetric,int *m,int *ia[],int *ja[],PetscTruth *done)
{
  int        i;
  Mat_MPIAdj *a = (Mat_MPIAdj *)A->data;

  PetscFunctionBegin;
  if (ia && a->i != *ia) SETERRQ(1,"ia passed back is not one obtained with MatGetRowIJ()");
  if (ja && a->j != *ja) SETERRQ(1,"ja passed back is not one obtained with MatGetRowIJ()");
  if (oshift) {
    for (i=0; i<=(*m); i++) (*ia)[i]--;
    for (i=0; i<(*ia)[*m]; i++) {
      (*ja)[i]--;
    }
  }
  PetscFunctionReturn(0);
}

/* -------------------------------------------------------------------*/
static struct _MatOps MatOps_Values = {0,
       MatGetRow_MPIAdj,
       MatRestoreRow_MPIAdj,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       MatEqual_MPIAdj,
       0,
       0,
       0,
       0,
       0,
       0,
       MatSetOption_MPIAdj,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       MatGetBlockSize_MPIAdj,
       MatGetRowIJ_MPIAdj,
       MatRestoreRowIJ_MPIAdj,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       0,
       MatDestroy_MPIAdj,
       MatView_MPIAdj,
       MatGetPetscMaps_Petsc};

EXTERN_C_BEGIN
#undef __FUNCT__
#define __FUNCT__ "MatMPIAdjSetPreallocation_MPIAdj"
int MatMPIAdjSetPreallocation_MPIAdj(Mat B,int *i,int *j,int *values)
{
  Mat_MPIAdj *b = (Mat_MPIAdj *)B->data;
  int        ierr;
#if defined(PETSC_USE_BOPT_g)
  int        ii;
#endif

  PetscFunctionBegin;
  B->preallocated = PETSC_TRUE;
#if defined(PETSC_USE_BOPT_g)
  if (i[0] != 0) SETERRQ1(1,"First i[] index must be zero, instead it is %d\n",i[0]);
  for (ii=1; ii<B->m; ii++) {
    if (i[ii] < 0 || i[ii] < i[ii-1]) {
      SETERRQ4(1,"i[%d]=%d index is out of range: i[%d]=%d",ii,i[ii],ii-1,i[ii-1]);
    }
  }
  for (ii=0; ii<i[B->m]; ii++) {
    if (j[ii] < 0 || j[ii] >= B->N) {
      SETERRQ2(1,"Column index %d out of range %d\n",ii,j[ii]);
    }
  }
#endif

  b->j      = j;
  b->i      = i;
  b->values = values;

  b->nz               = i[B->m];
  b->diag             = 0;
  b->symmetric        = PETSC_FALSE;
  b->freeaij          = PETSC_TRUE;

  ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}
EXTERN_C_END

EXTERN_C_BEGIN
#undef __FUNCT__
#define __FUNCT__ "MatCreate_MPIAdj"
int MatCreate_MPIAdj(Mat B)
{
  Mat_MPIAdj *b;
  int        ii,ierr,size,rank;

  PetscFunctionBegin;
  ierr = MPI_Comm_size(B->comm,&size);CHKERRQ(ierr);
  ierr = MPI_Comm_rank(B->comm,&rank);CHKERRQ(ierr);

  ierr                = PetscNew(Mat_MPIAdj,&b);CHKERRQ(ierr);
  B->data             = (void*)b;
  ierr                = PetscMemzero(b,sizeof(Mat_MPIAdj));CHKERRQ(ierr);
  ierr                = PetscMemcpy(B->ops,&MatOps_Values,sizeof(struct _MatOps));CHKERRQ(ierr);
  B->factor           = 0;
  B->lupivotthreshold = 1.0;
  B->mapping          = 0;
  B->assembled        = PETSC_FALSE;

  ierr = MPI_Allreduce(&B->m,&B->M,1,MPI_INT,MPI_SUM,B->comm);CHKERRQ(ierr);
  B->n = B->N;

  /* the information in the maps duplicates the information computed below, eventually
     we should remove the duplicate information that is not contained in the maps */
  ierr = PetscMapCreateMPI(B->comm,B->m,B->M,&B->rmap);CHKERRQ(ierr);
  /* we don't know the "local columns" so just use the row information :-(*/
  ierr = PetscMapCreateMPI(B->comm,B->m,B->M,&B->cmap);CHKERRQ(ierr);

  ierr = PetscMalloc((size+1)*sizeof(int),&b->rowners);CHKERRQ(ierr);
  PetscLogObjectMemory(B,(size+2)*sizeof(int)+sizeof(struct _p_Mat)+sizeof(Mat_MPIAdj));
  ierr = MPI_Allgather(&B->m,1,MPI_INT,b->rowners+1,1,MPI_INT,B->comm);CHKERRQ(ierr);
  b->rowners[0] = 0;
  for (ii=2; ii<=size; ii++) {
    b->rowners[ii] += b->rowners[ii-1];
  }
  b->rstart = b->rowners[rank];
  b->rend   = b->rowners[rank+1];
  ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatMPIAdjSetPreallocation_C",
                                    "MatMPIAdjSetPreallocation_MPIAdj",
                                     MatMPIAdjSetPreallocation_MPIAdj);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}
EXTERN_C_END

#undef __FUNCT__
#define __FUNCT__ "MatMPIAdjSetPreallocation"
/*@C
   MatMPIAdjSetPreallocation - Sets the array used for storing the matrix elements

   Collective on MPI_Comm

   Input Parameters:
+  A - the matrix
.  i - the indices into j for the start of each row
.  j - the column indices for each row (sorted for each row).
       The indices in i and j start with zero (NOT with one).
-  values - [optional] edge weights

   Level: intermediate

.seealso: MatCreate(), MatCreateMPIAdj(), MatSetValues()
@*/
int MatMPIAdjSetPreallocation(Mat B,int *i,int *j,int *values)
{
  int ierr,(*f)(Mat,int*,int*,int*);

  PetscFunctionBegin;
  ierr = PetscObjectQueryFunction((PetscObject)B,"MatMPIAdjSetPreallocation_C",(void (**)(void))&f);CHKERRQ(ierr);
  if (f) {
    ierr = (*f)(B,i,j,values);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatCreateMPIAdj"
/*@C
   MatCreateMPIAdj - Creates a sparse matrix representing an adjacency list.
   The matrix does not have numerical values associated with it, but is
   intended for ordering (to reduce bandwidth etc) and partitioning.

   Collective on MPI_Comm

   Input Parameters:
+  comm - MPI communicator
.  m - number of local rows
.  n - number of columns
.  i - the indices into j for the start of each row
.  j - the column indices for each row (sorted for each row).
       The indices in i and j start with zero (NOT with one).
-  values -[optional] edge weights

   Output Parameter:
.  A - the matrix

   Level: intermediate

   Notes: This matrix object does not support most matrix operations, include
   MatSetValues().
   You must NOT free the ii, values and jj arrays yourself. PETSc will free them
   when the matrix is destroyed; you must allocate them with PetscMalloc(). If you
    call from Fortran you need not create the arrays with PetscMalloc().
   Should not include the matrix diagonals.

   If you already have a matrix, you can create its adjacency matrix by a call
   to MatConvert, specifying a type of MATMPIADJ.

   Possible values for MatSetOption() - MAT_STRUCTURALLY_SYMMETRIC

.seealso: MatCreate(), MatConvert(), MatGetOrdering()
@*/
int MatCreateMPIAdj(MPI_Comm comm,int m,int n,int *i,int *j,int *values,Mat *A)
{
  int        ierr;

  PetscFunctionBegin;
  ierr = MatCreate(comm,m,n,PETSC_DETERMINE,n,A);CHKERRQ(ierr);
  ierr = MatSetType(*A,MATMPIADJ);CHKERRQ(ierr);
  ierr = MatMPIAdjSetPreallocation(*A,i,j,values);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

EXTERN_C_BEGIN
#undef __FUNCT__
#define __FUNCT__ "MatConvertTo_MPIAdj"
int MatConvertTo_MPIAdj(Mat A,MatType type,Mat *B)
{
  int          i,ierr,m,N,nzeros = 0,*ia,*ja,*rj,len,rstart,cnt,j,*a;
  PetscScalar  *ra;
  MPI_Comm     comm;

  PetscFunctionBegin;
  ierr = MatGetSize(A,PETSC_NULL,&N);CHKERRQ(ierr);
  ierr = MatGetLocalSize(A,&m,PETSC_NULL);CHKERRQ(ierr);
  ierr = MatGetOwnershipRange(A,&rstart,PETSC_NULL);CHKERRQ(ierr);

  /* count the number of nonzeros per row */
  for (i=0; i<m; i++) {
    ierr   = MatGetRow(A,i+rstart,&len,&rj,PETSC_NULL);CHKERRQ(ierr);
    for (j=0; j<len; j++) {
      if (rj[j] == i+rstart) {len--; break;}    /* don't count diagonal */
    }
    ierr   = MatRestoreRow(A,i+rstart,&len,&rj,PETSC_NULL);CHKERRQ(ierr);
    nzeros += len;
  }

  /* malloc space for nonzeros */
  ierr = PetscMalloc((nzeros+1)*sizeof(int),&a);CHKERRQ(ierr);
  ierr = PetscMalloc((N+1)*sizeof(int),&ia);CHKERRQ(ierr);
  ierr = PetscMalloc((nzeros+1)*sizeof(int),&ja);CHKERRQ(ierr);

  nzeros = 0;
  ia[0]  = 0;
  for (i=0; i<m; i++) {
    ierr    = MatGetRow(A,i+rstart,&len,&rj,&ra);CHKERRQ(ierr);
    cnt     = 0;
    for (j=0; j<len; j++) {
      if (rj[j] != i+rstart) { /* if not diagonal */
        a[nzeros+cnt]    = (int) PetscAbsScalar(ra[j]);
        ja[nzeros+cnt++] = rj[j];
      }
    }
    ierr    = MatRestoreRow(A,i+rstart,&len,&rj,&ra);CHKERRQ(ierr);
    nzeros += cnt;
    ia[i+1] = nzeros;
  }

  ierr = PetscObjectGetComm((PetscObject)A,&comm);CHKERRQ(ierr);
  ierr = MatCreateMPIAdj(comm,m,N,ia,ja,a,B);CHKERRQ(ierr);

  PetscFunctionReturn(0);
}
EXTERN_C_END