xref: /petsc/src/mat/impls/aij/seq/matmatmult.c (revision 1c24bd3795cab3fc5c2fbf4c0c6470c88630006b)

/*
  Defines matrix-matrix product routines for pairs of AIJ matrices
          C = A * B
*/

#include "src/mat/impls/aij/seq/aij.h" /*I "petscmat.h" I*/
#include "src/mat/utils/freespace.h"
#include "src/mat/impls/aij/mpi/mpiaij.h"

/*
  Initialize a linked list
  Input Parameters:
    lnk_init  - the initial index value indicating the entry in the list is not set yet
    nlnk      - max length of the list
    lnk       - linked list(an integer array) that is allocated
  output Parameters:
    lnk       - the linked list with all values set as lnk_int
*/
#define LNKLISTINITIALIZE(lnk_init,nlnk,lnk){\
  int _i;\
  for (_i=0; _i<nlnk; _i++) lnk[_i] = lnk_init;\
}

/*
  Add a index set into a sorted linked list
  Input Parameters:
    nidx      - number of input indices
    indices   - interger array
    lnk_head  - the header of the list
    lnk_init  - the initial index value indicating the entry in the list is not set yet
    lnk       - linked list(an integer array) that is created
  output Parameters:
    nlnk      - number of newly added indices
    lnk       - the sorted(increasing order) linked list containing new and non-redundate entries from indices
*/
#define LNKLISTADD(nidx,indices,lnk_head,lnk_init,nlnk,lnk){\
  int _k,_entry,_lidx=lnk_head,_idx;\
  nlnk = 0;\
  _k=nidx;\
  while (_k){/* assume indices are almost in increasing order, starting from its end saves computation */\
    _entry = indices[--_k];\
    if (lnk[_entry] == lnk_init) { /* new col */\
      do {\
        _idx = _lidx;\
        _lidx  = lnk[_idx];\
      } while (_entry > _lidx);\
      lnk[_idx] = _entry;\
      lnk[_entry] = _lidx;\
      nlnk++;\
    }\
  }\
}
/*
  Copy data on the list into an array, then initialize the list
  Input Parameters:
    lnk_head  - the header of the list
    lnk_init  - the initial index value indicating the entry in the list is not set yet
    nlnk      - number of data on the list to be copied
    lnk       - linked list
  output Parameters:
    indices   - array that contains the copied data
*/
#define LNKLISTCLEAR(lnk_head,lnk_init,nlnk,lnk,indices){\
  int _j,_idx=lnk_head,_idx0;\
  for (_j=0; _j<nlnk; _j++){\
    _idx0 = _idx; _idx = lnk[_idx0];\
    *(indices+_j) = _idx;\
    lnk[_idx0] = lnk_init;\
  }\
  lnk[_idx] = lnk_init;\
}

typedef struct { /* used by MatMatMult_MPIAIJ_MPIAIJ for reusing symbolic mat product */
  IS        isrowa,isrowb,iscolb;
  Mat       *aseq,*bseq,C_seq;
} Mat_MatMatMultMPI;

static int logkey_matmatmult_symbolic = 0;
static int logkey_matmatmult_numeric  = 0;

#undef __FUNCT__
#define __FUNCT__ "MatMatMult"
/*@
   MatMatMult - Performs Matrix-Matrix Multiplication C=A*B.

   Collective on Mat

   Input Parameters:
+  A - the left matrix
.  B - the right matrix
.  scall - either MAT_INITIAL_MATRIX or MAT_REUSE_MATRIX
-  fill - expected fill as ratio of nnz(C)/(nnz(A) + nnz(B))

   Output Parameters:
.  C - the product matrix

   Notes:
   C will be created and must be destroyed by the user with MatDestroy().

   This routine is currently only implemented for pairs of SeqAIJ matrices and classes
   which inherit from SeqAIJ.  C will be of type MATSEQAIJ.

   Level: intermediate

.seealso: MatMatMultSymbolic(),MatMatMultNumeric()
@*/
int MatMatMult(Mat A,Mat B,MatReuse scall,PetscReal fill,Mat *C)
{
  int  ierr;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(A,MAT_COOKIE,1);
  PetscValidType(A,1);
  MatPreallocated(A);
  if (!A->assembled) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Not for unassembled matrix");
  if (A->factor) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix");
  PetscValidHeaderSpecific(B,MAT_COOKIE,2);
  PetscValidType(B,2);
  MatPreallocated(B);
  if (!B->assembled) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Not for unassembled matrix");
  if (B->factor) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix");
  PetscValidPointer(C,3);
  if (B->M!=A->N) SETERRQ2(PETSC_ERR_ARG_SIZ,"Matrix dimensions are incompatible, %d != %d",B->M,A->N);

  if (fill <=0.0) SETERRQ1(PETSC_ERR_ARG_SIZ,"fill=%g must be > 0.0",fill);

  ierr = PetscLogEventBegin(MAT_MatMult,A,B,0,0);CHKERRQ(ierr);
  ierr = (*A->ops->matmult)(A,B,scall,fill,C);CHKERRQ(ierr);
  ierr = PetscLogEventEnd(MAT_MatMult,A,B,0,0);CHKERRQ(ierr);

  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatMatMult_MPIAIJ_MPIAIJ"
int MatMatMult_MPIAIJ_MPIAIJ(Mat A,Mat B,MatReuse scall,PetscReal fill, Mat *C)
{
  int ierr;

  PetscFunctionBegin;
  if (scall == MAT_INITIAL_MATRIX){
    ierr = MatMatMultSymbolic_MPIAIJ_MPIAIJ(A,B,fill,C);CHKERRQ(ierr);
  }
  ierr = MatMatMultNumeric_MPIAIJ_MPIAIJ(A,B,*C);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatMatMult_SeqAIJ_SeqAIJ"
int MatMatMult_SeqAIJ_SeqAIJ(Mat A,Mat B,MatReuse scall,PetscReal fill,Mat *C) {
  int ierr;

  PetscFunctionBegin;
  if (scall == MAT_INITIAL_MATRIX){
    ierr = MatMatMultSymbolic_SeqAIJ_SeqAIJ(A,B,fill,C);CHKERRQ(ierr);
  }
  ierr = MatMatMultNumeric_SeqAIJ_SeqAIJ(A,B,*C);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatMatMultSymbolic"
/*@
   MatMatMultSymbolic - Performs construction, preallocation, and computes the ij structure
   of the matrix-matrix product C=A*B.  Call this routine before calling MatMatMultNumeric().

   Collective on Mat

   Input Parameters:
+  A - the left matrix
.  B - the right matrix
-  fill - expected fill as ratio of nnz(C)/(nnz(A) + nnz(B))

   Output Parameters:
.  C - the matrix containing the ij structure of product matrix

   Notes:
   C will be created as a MATSEQAIJ matrix and must be destroyed by the user with MatDestroy().

   This routine is currently only implemented for SeqAIJ matrices and classes which inherit from SeqAIJ.

   Level: intermediate

.seealso: MatMatMult(),MatMatMultNumeric()
@*/
int MatMatMultSymbolic(Mat A,Mat B,PetscReal fill,Mat *C) {
  /* Perhaps this "interface" routine should be moved into the interface directory.*/
  /* To facilitate implementations with varying types, QueryFunction is used.*/
  /* It is assumed that implementations will be composed as "MatMatMultSymbolic_<type of A><type of B>". */
  int  ierr;
  char symfunct[80];
  int  (*symbolic)(Mat,Mat,PetscReal,Mat *);

  PetscFunctionBegin;
  PetscValidHeaderSpecific(A,MAT_COOKIE,1);
  PetscValidType(A,1);
  MatPreallocated(A);
  if (!A->assembled) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Not for unassembled matrix");
  if (A->factor) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix");

  PetscValidHeaderSpecific(B,MAT_COOKIE,2);
  PetscValidType(B,2);
  MatPreallocated(B);
  if (!B->assembled) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Not for unassembled matrix");
  if (B->factor) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix");
  PetscValidPointer(C,3);

  if (B->M!=A->N) SETERRQ2(PETSC_ERR_ARG_SIZ,"Matrix dimensions are incompatible, %d != %d",B->M,A->N);
  if (fill <=0.0) SETERRQ1(PETSC_ERR_ARG_SIZ,"fill=%g must be > 0.0",fill);

  /* Currently only _seqaijseqaij is implemented, so just query for it in A and B. */
  /* When other implementations exist, attack the multiple dispatch problem. */
  ierr = PetscStrcpy(symfunct,"MatMatMultSymbolic_seqaijseqaij");CHKERRQ(ierr);
  ierr = PetscObjectQueryFunction((PetscObject)B,symfunct,(PetscVoidFunction)&symbolic);CHKERRQ(ierr);
  if (!symbolic) SETERRQ1(PETSC_ERR_SUP,"C=A*B not implemented for B of type %s",B->type_name);
  ierr = PetscObjectQueryFunction((PetscObject)A,symfunct,(PetscVoidFunction)&symbolic);CHKERRQ(ierr);
  if (!symbolic) SETERRQ1(PETSC_ERR_SUP,"C=A*B not implemented for A of type %s",A->type_name);
  ierr = (*symbolic)(A,B,fill,C);CHKERRQ(ierr);

  PetscFunctionReturn(0);
}

EXTERN int MatDestroy_MPIAIJ(Mat);
#undef __FUNCT__
#define __FUNCT__ "MatDestroy_MPIAIJ_MatMatMult"
int MatDestroy_MPIAIJ_MatMatMult(Mat A)
{
  int               ierr;
  Mat_MatMatMultMPI *mult = ( Mat_MatMatMultMPI*)A->spptr;

  PetscFunctionBegin;
  /* printf(" ...MatDestroy_MPIAIJ_MatMatMult is called\n"); */
  ierr = PetscFree(mult);CHKERRQ(ierr);
  ierr = MatDestroy_MPIAIJ(A);CHKERRQ(ierr);

  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatMatMultSymbolic_MPIAIJ_MPIAIJ"
int MatMatMultSymbolic_MPIAIJ_MPIAIJ(Mat A,Mat B,PetscReal fill,Mat *C)
{
  Mat           *aseq,*bseq,A_seq=PETSC_NULL,B_seq=PETSC_NULL,C_seq;
  Mat_MPIAIJ    *a = (Mat_MPIAIJ*)A->data;
  int           ierr,*idx,i,start,end,ncols,imark,nzA,nzB,*cmap;
  IS            isrow,iscol;
  Mat_MatMatMultMPI *mult;

  PetscFunctionBegin;
  /* create a seq matrix B_seq = submatrix of B by taking rows of B that equal to nonzero col of A */
  start = a->cstart;
  cmap  = a->garray;
  nzA   = a->A->n;
  nzB   = a->B->n;
  ierr  = PetscMalloc((nzA+nzB)*sizeof(int), &idx);CHKERRQ(ierr);
  ncols = 0;
  for (i=0; i<nzB; i++) {
    if (cmap[i] < start) idx[ncols++] = cmap[i];
    else break;
  }
  imark = i;
  for (i=0; i<nzA; i++) idx[ncols++] = start + i;
  for (i=imark; i<nzB; i++) idx[ncols++] = cmap[i];
  ierr = ISCreateGeneral(PETSC_COMM_SELF,ncols,idx,&isrow);CHKERRQ(ierr); /* isrow of B = iscol of A! */
  ierr = PetscFree(idx);CHKERRQ(ierr);
  ierr = ISCreateStride(PETSC_COMM_SELF,B->N,0,1,&iscol);CHKERRQ(ierr);
  ierr = MatGetSubMatrices(B,1,&isrow,&iscol,MAT_INITIAL_MATRIX,&bseq);CHKERRQ(ierr);
  ierr = ISDestroy(iscol);CHKERRQ(ierr);
  B_seq = bseq[0];

  /*  create a seq matrix A_seq = submatrix of A by taking all local rows of A */
  start = a->rstart; end = a->rend;
  ierr = ISCreateStride(PETSC_COMM_SELF,end-start,start,1,&iscol);CHKERRQ(ierr); /* isrow of A = iscol */
  ierr = MatGetSubMatrices(A,1,&iscol,&isrow,MAT_INITIAL_MATRIX,&aseq);CHKERRQ(ierr);
  ierr = ISDestroy(isrow);CHKERRQ(ierr);
  ierr = ISDestroy(iscol);CHKERRQ(ierr);
  A_seq = aseq[0];

  /* compute C_seq = A_seq * B_seq */
  ierr = MatMatMult_SeqAIJ_SeqAIJ(A_seq,B_seq,MAT_INITIAL_MATRIX,fill,&C_seq);CHKERRQ(ierr);
  /*
  int rank;
  ierr = MPI_Comm_rank(A->comm,&rank);CHKERRQ(ierr);
  ierr = PetscPrintf(PETSC_COMM_SELF," [%d] A_seq: %d, %d; B_seq: %d, %d; C_seq: %d, %d;\n",rank,A_seq->m,A_seq->n,B_seq->m,B_seq->n,C_seq->m,C_seq->n);
  */
  ierr = MatDestroyMatrices(1,&aseq);CHKERRQ(ierr);
  ierr = MatDestroyMatrices(1,&bseq);CHKERRQ(ierr);

  /* create mpi matrix C by concatinating C_seq */
  ierr = MatMerge(A->comm,C_seq,C);CHKERRQ(ierr);

  /* attach the supporting struct to C for reuse of symbolic C */
  ierr = PetscNew(Mat_MatMatMultMPI,&mult);CHKERRQ(ierr);
  (*C)->spptr         = (void*)mult;
  (*C)->ops->destroy  = MatDestroy_MPIAIJ_MatMatMult;

  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatMatMultSymbolic_SeqAIJ_SeqAIJ"
int MatMatMultSymbolic_SeqAIJ_SeqAIJ(Mat A,Mat B,PetscReal fill,Mat *C)
{
  int            ierr;
  FreeSpaceList  free_space=PETSC_NULL,current_space=PETSC_NULL;
  Mat_SeqAIJ     *a=(Mat_SeqAIJ*)A->data,*b=(Mat_SeqAIJ*)B->data,*c;
  int            *ai=a->i,*aj=a->j,*bi=b->i,*bj=b->j,*bjj;
  int            *ci,*cj,*lnk;
  int            am=A->M,bn=B->N,bm=B->M;
  int            i,j,anzi,brow,bnzj,cnzi,nlnk,lnk_init=-1,nspacedouble=0;
  MatScalar      *ca;

  PetscFunctionBegin;
  /* Start timers */
  ierr = PetscLogEventBegin(logkey_matmatmult_symbolic,A,B,0,0);CHKERRQ(ierr);
  /* Set up */
  /* Allocate ci array, arrays for fill computation and */
  /* free space for accumulating nonzero column info */
  ierr = PetscMalloc(((am+1)+1)*sizeof(int),&ci);CHKERRQ(ierr);
  ci[0] = 0;

  ierr = PetscMalloc((bn+1)*sizeof(int),&lnk);CHKERRQ(ierr);
  LNKLISTINITIALIZE(lnk_init,bn,lnk);

  /* Initial FreeSpace size is fill*(nnz(A)+nnz(B)) */
  ierr = GetMoreSpace(int(fill*(ai[am]+bi[bm])),&free_space);CHKERRQ(ierr);
  current_space = free_space;

  /* Determine symbolic info for each row of the product: */
  for (i=0;i<am;i++) {
    anzi = ai[i+1] - ai[i];
    cnzi = 0;
    lnk[bn] = bn;
    j       = anzi;
    aj      = a->j + ai[i];
    while (j){/* assume cols are almost in increasing order, starting from its end saves computation */
      j--;
      brow = *(aj + j);
      bnzj = bi[brow+1] - bi[brow];
      bjj  = bj + bi[brow];
      /* add non-zero cols of B into the sorted linked list lnk */
      LNKLISTADD(bnzj,bjj,bn,lnk_init,nlnk,lnk);
      cnzi += nlnk;
    }

    /* If free space is not available, make more free space */
    /* Double the amount of total space in the list */
    if (current_space->local_remaining<cnzi) {
      /* printf("MatMatMultSymbolic_SeqAIJ_SeqAIJ()...%d -th row, double space ...\n",i);*/
      ierr = GetMoreSpace(current_space->total_array_size,&current_space);CHKERRQ(ierr);
      nspacedouble++;
    }

    /* Copy data into free space, then initialize lnk */
    LNKLISTCLEAR(bn,lnk_init,cnzi,lnk,current_space->array);
    current_space->array += cnzi;

    current_space->local_used      += cnzi;
    current_space->local_remaining -= cnzi;

    ci[i+1] = ci[i] + cnzi;
  }

  /* Column indices are in the list of free space */
  /* Allocate space for cj, initialize cj, and */
  /* destroy list of free space and other temporary array(s) */
  ierr = PetscMalloc((ci[am]+1)*sizeof(int),&cj);CHKERRQ(ierr);
  ierr = MakeSpaceContiguous(&free_space,cj);CHKERRQ(ierr);
  ierr = PetscFree(lnk);CHKERRQ(ierr);

  /* Allocate space for ca */
  ierr = PetscMalloc((ci[am]+1)*sizeof(MatScalar),&ca);CHKERRQ(ierr);
  ierr = PetscMemzero(ca,(ci[am]+1)*sizeof(MatScalar));CHKERRQ(ierr);

  /* put together the new symbolic matrix */
  ierr = MatCreateSeqAIJWithArrays(A->comm,am,bn,ci,cj,ca,C);CHKERRQ(ierr);

  /* MatCreateSeqAIJWithArrays flags matrix so PETSc doesn't free the user's arrays. */
  /* These are PETSc arrays, so change flags so arrays can be deleted by PETSc */
  c = (Mat_SeqAIJ *)((*C)->data);
  c->freedata = PETSC_TRUE;
  c->nonew    = 0;

  ierr = PetscLogEventEnd(logkey_matmatmult_symbolic,A,B,0,0);CHKERRQ(ierr);
  PetscLogInfo((PetscObject)(*C),"Number of calls to GetMoreSpace(): %d\n",nspacedouble);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatMatMultNumeric"
/*@
   MatMatMultNumeric - Performs the numeric matrix-matrix product.
   Call this routine after first calling MatMatMultSymbolic().

   Collective on Mat

   Input Parameters:
+  A - the left matrix
-  B - the right matrix

   Output Parameters:
.  C - the product matrix, whose ij structure was defined from MatMatMultSymbolic().

   Notes:
   C must have been created with MatMatMultSymbolic.

   This routine is currently only implemented for SeqAIJ type matrices.

   Level: intermediate

.seealso: MatMatMult(),MatMatMultSymbolic()
@*/
int MatMatMultNumeric(Mat A,Mat B,Mat C){
  /* Perhaps this "interface" routine should be moved into the interface directory.*/
  /* To facilitate implementations with varying types, QueryFunction is used.*/
  /* It is assumed that implementations will be composed as "MatMatMultNumeric_<type of A><type of B>". */
  int ierr;
  char numfunct[80];
  int (*numeric)(Mat,Mat,Mat);

  PetscFunctionBegin;

  PetscValidHeaderSpecific(A,MAT_COOKIE,1);
  PetscValidType(A,1);
  MatPreallocated(A);
  if (!A->assembled) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Not for unassembled matrix");
  if (A->factor) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix");

  PetscValidHeaderSpecific(B,MAT_COOKIE,2);
  PetscValidType(B,2);
  MatPreallocated(B);
  if (!B->assembled) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Not for unassembled matrix");
  if (B->factor) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix");

  PetscValidHeaderSpecific(C,MAT_COOKIE,3);
  PetscValidType(C,3);
  MatPreallocated(C);
  if (!C->assembled) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Not for unassembled matrix");
  if (C->factor) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix");

  if (B->N!=C->N) SETERRQ2(PETSC_ERR_ARG_SIZ,"Matrix dimensions are incompatible, %d != %d",B->N,C->N);
  if (B->M!=A->N) SETERRQ2(PETSC_ERR_ARG_SIZ,"Matrix dimensions are incompatible, %d != %d",B->M,A->N);
  if (A->M!=C->M) SETERRQ2(PETSC_ERR_ARG_SIZ,"Matrix dimensions are incompatible, %d != %d",A->M,C->M);

  /* Currently only _seqaijseqaij is implemented, so just query for it in A and B. */
  /* When other implementations exist, attack the multiple dispatch problem. */
  ierr = PetscStrcpy(numfunct,"MatMatMultNumeric_seqaijseqaij");CHKERRQ(ierr);
  ierr = PetscObjectQueryFunction((PetscObject)A,numfunct,(PetscVoidFunction)&numeric);CHKERRQ(ierr);
  if (!numeric) SETERRQ1(PETSC_ERR_SUP,"C=A*B not implemented for A of type %s",A->type_name);
  ierr = PetscObjectQueryFunction((PetscObject)B,numfunct,(PetscVoidFunction)&numeric);CHKERRQ(ierr);
  if (!numeric) SETERRQ1(PETSC_ERR_SUP,"C=A*B not implemented for B of type %s",B->type_name);

  ierr = (*numeric)(A,B,C);CHKERRQ(ierr);

  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatMatMultNumeric_MPIAIJ_MPIAIJ"
int MatMatMultNumeric_MPIAIJ_MPIAIJ(Mat A,Mat B,Mat C)
{
  PetscFunctionBegin;
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatMatMultNumeric_SeqAIJ_SeqAIJ"
int MatMatMultNumeric_SeqAIJ_SeqAIJ(Mat A,Mat B,Mat C)
{
  int        ierr,flops=0;
  Mat_SeqAIJ *a = (Mat_SeqAIJ *)A->data;
  Mat_SeqAIJ *b = (Mat_SeqAIJ *)B->data;
  Mat_SeqAIJ *c = (Mat_SeqAIJ *)C->data;
  int        *ai=a->i,*aj=a->j,*bi=b->i,*bj=b->j,*bjj,*ci=c->i,*cj=c->j;
  int        am=A->M,cn=C->N;
  int        i,j,k,anzi,bnzi,cnzi,brow;
  MatScalar  *aa=a->a,*ba=b->a,*baj,*ca=c->a,*temp;

  PetscFunctionBegin;

  /* Start timers */
  ierr = PetscLogEventBegin(logkey_matmatmult_numeric,A,B,C,0);CHKERRQ(ierr);

  /* Allocate temp accumulation space to avoid searching for nonzero columns in C */
  ierr = PetscMalloc((cn+1)*sizeof(MatScalar),&temp);CHKERRQ(ierr);
  ierr = PetscMemzero(temp,cn*sizeof(MatScalar));CHKERRQ(ierr);
  /* Traverse A row-wise. */
  /* Build the ith row in C by summing over nonzero columns in A, */
  /* the rows of B corresponding to nonzeros of A. */
  for (i=0;i<am;i++) {
    anzi = ai[i+1] - ai[i];
    for (j=0;j<anzi;j++) {
      brow = *aj++;
      bnzi = bi[brow+1] - bi[brow];
      bjj  = bj + bi[brow];
      baj  = ba + bi[brow];
      for (k=0;k<bnzi;k++) {
        temp[bjj[k]] += (*aa)*baj[k];
      }
      flops += 2*bnzi;
      aa++;
    }
    /* Store row back into C, and re-zero temp */
    cnzi = ci[i+1] - ci[i];
    for (j=0;j<cnzi;j++) {
      ca[j] = temp[cj[j]];
      temp[cj[j]] = 0.0;
    }
    ca += cnzi;
    cj += cnzi;
  }
  ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  /* Free temp */
  ierr = PetscFree(temp);CHKERRQ(ierr);
  ierr = PetscLogFlops(flops);CHKERRQ(ierr);
  ierr = PetscLogEventEnd(logkey_matmatmult_numeric,A,B,C,0);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "RegisterMatMatMultRoutines_Private"
int RegisterMatMatMultRoutines_Private(Mat A) {
  int ierr;

  PetscFunctionBegin;
  if (!logkey_matmatmult_symbolic) {
    ierr = PetscLogEventRegister(&logkey_matmatmult_symbolic,"MatMatMultSymbolic",MAT_COOKIE);CHKERRQ(ierr);
  }
  /*
  ierr = PetscObjectComposeFunctionDynamic((PetscObject)A,"MatMatMultSymbolic_seqaijseqaij",
                                           "MatMatMultSymbolic_SeqAIJ_SeqAIJ",
                                           MatMatMultSymbolic_SeqAIJ_SeqAIJ);CHKERRQ(ierr);*/
  if (!logkey_matmatmult_numeric) {
    ierr = PetscLogEventRegister(&logkey_matmatmult_numeric,"MatMatMultNumeric",MAT_COOKIE);CHKERRQ(ierr);
  }
  /*
  ierr = PetscObjectComposeFunctionDynamic((PetscObject)A,"MatMatMultNumeric_seqaijseqaij",
                                           "MatMatMultNumeric_SeqAIJ_SeqAIJ",
                                           MatMatMultNumeric_SeqAIJ_SeqAIJ);CHKERRQ(ierr);*/
  PetscFunctionReturn(0);
}