xref: /petsc/src/mat/impls/sbaij/seq/sbaij2.c (revision d9eff348d02e27cdd2d39dde40019e558f27352f)

/*$Id: sbaij2.c,v 1.5 2000/08/13 15:03:03 bsmith Exp balay $*/

#include "petscsys.h"
#include "src/mat/impls/baij/seq/baij.h"
#include "src/vec/vecimpl.h"
#include "src/inline/spops.h"
#include "src/inline/ilu.h"
#include "petscbt.h"
#include "sbaij.h"

#undef __FUNC__
#define __FUNC__ "MatIncreaseOverlap_SeqSBAIJ"
int MatIncreaseOverlap_SeqSBAIJ(Mat A,int is_max,IS *is,int ov)
{
  Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data;
  int         row,i,j,k,l,m,n,*idx,ierr,*nidx,isz,val,ival;
  int         start,end,*ai,*aj,bs,*nidx2;
  PetscBT     table;

  PetscFunctionBegin;
  m     = a->mbs;
  ai    = a->i;
  aj    = a->j;
  bs    = a->bs;

  if (ov < 0)  SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,0,"Negative overlap specified");

  ierr  = PetscBTCreate(m,table);CHKERRQ(ierr);
  nidx  = (int*)PetscMalloc((m+1)*sizeof(int));CHKPTRQ(nidx);
  nidx2 = (int *)PetscMalloc((a->m+1)*sizeof(int));CHKPTRQ(nidx2);

  for (i=0; i<is_max; i++) {
    /* Initialise the two local arrays */
    isz  = 0;
    ierr = PetscBTMemzero(m,table);CHKERRQ(ierr);

    /* Extract the indices, assume there can be duplicate entries */
    ierr = ISGetIndices(is[i],&idx);CHKERRQ(ierr);
    ierr = ISGetSize(is[i],&n);CHKERRQ(ierr);

    /* Enter these into the temp arrays i.e mark table[row], enter row into new index */
    for (j=0; j<n ; ++j){
      ival = idx[j]/bs; /* convert the indices into block indices */
      if (ival>m) SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,0,"index greater than mat-dim");
      if(!PetscBTLookupSet(table,ival)) { nidx[isz++] = ival;}
    }
    ierr = ISRestoreIndices(is[i],&idx);CHKERRQ(ierr);
    ierr = ISDestroy(is[i]);CHKERRQ(ierr);
    k = 0;
    for (j=0; j<ov; j++){ /* for each overlap*/
      n = isz;
      for (; k<n ; k++){ /* do only those rows in nidx[k], which are not done yet */
        row   = nidx[k];
        start = ai[row];
        end   = ai[row+1];
        for (l = start; l<end ; l++){
          val = aj[l];
          if (!PetscBTLookupSet(table,val)) {nidx[isz++] = val;}
        }
      }
    }
    /* expand the Index Set */
    for (j=0; j<isz; j++) {
      for (k=0; k<bs; k++)
        nidx2[j*bs+k] = nidx[j]*bs+k;
    }
    ierr = ISCreateGeneral(PETSC_COMM_SELF,isz*bs,nidx2,is+i);CHKERRQ(ierr);
  }
  ierr = PetscBTDestroy(table);CHKERRQ(ierr);
  ierr = PetscFree(nidx);CHKERRQ(ierr);
  ierr = PetscFree(nidx2);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatGetSubMatrix_SeqSBAIJ_Private"
int MatGetSubMatrix_SeqSBAIJ_Private(Mat A,IS isrow,IS iscol,int cs,MatReuse scall,Mat *B)
{
  Mat_SeqSBAIJ  *a = (Mat_SeqSBAIJ*)A->data,*c;
  int          *smap,i,k,kstart,kend,ierr,oldcols = a->mbs,*lens;
  int          row,mat_i,*mat_j,tcol,*mat_ilen;
  int          *irow,nrows,*ssmap,bs=a->bs,bs2=a->bs2;
  int          *aj = a->j,*ai = a->i;
  MatScalar    *mat_a;
  Mat          C;
  PetscTruth   flag;

  PetscFunctionBegin;

  if (isrow != iscol) SETERRA(1,0,"MatGetSubmatrices_SeqSBAIJ: For symm. format, iscol must equal isro");
  ierr = ISSorted(iscol,(PetscTruth*)&i);CHKERRQ(ierr);
  if (!i) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,0,"IS is not sorted");

  ierr = ISGetIndices(isrow,&irow);CHKERRQ(ierr);
  ierr = ISGetSize(isrow,&nrows);CHKERRQ(ierr);

  smap  = (int*)PetscMalloc((1+oldcols)*sizeof(int));CHKPTRQ(smap);
  ssmap = smap;
  lens  = (int*)PetscMalloc((1+nrows)*sizeof(int));CHKPTRQ(lens);
  ierr  = PetscMemzero(smap,oldcols*sizeof(int));CHKERRQ(ierr);
  for (i=0; i<nrows; i++) smap[irow[i]] = i+1; /* nrows = ncols */
  /* determine lens of each row */
  for (i=0; i<nrows; i++) {
    kstart  = ai[irow[i]];
    kend    = kstart + a->ilen[irow[i]];
    lens[i] = 0;
      for (k=kstart; k<kend; k++) {
        if (ssmap[aj[k]]) {
          lens[i]++;
        }
      }
    }
  /* Create and fill new matrix */
  if (scall == MAT_REUSE_MATRIX) {
    c = (Mat_SeqSBAIJ *)((*B)->data);

    if (c->mbs!=nrows || c->bs!=bs) SETERRQ(PETSC_ERR_ARG_SIZ,0,"Submatrix wrong size");
    ierr = PetscMemcmp(c->ilen,lens,c->mbs *sizeof(int),&flag);CHKERRQ(ierr);
    if (flag == PETSC_FALSE) {
      SETERRQ(PETSC_ERR_ARG_SIZ,0,"Cannot reuse matrix. wrong no of nonzeros");
    }
    ierr = PetscMemzero(c->ilen,c->mbs*sizeof(int));CHKERRQ(ierr);
    C = *B;
  } else {
    ierr = MatCreateSeqSBAIJ(A->comm,bs,nrows*bs,nrows*bs,0,lens,&C);CHKERRQ(ierr);
  }
  c = (Mat_SeqSBAIJ *)(C->data);
  for (i=0; i<nrows; i++) {
    row    = irow[i];
    kstart = ai[row];
    kend   = kstart + a->ilen[row];
    mat_i  = c->i[i];
    mat_j  = c->j + mat_i;
    mat_a  = c->a + mat_i*bs2;
    mat_ilen = c->ilen + i;
    for (k=kstart; k<kend; k++) {
      if ((tcol=ssmap[a->j[k]])) {
        *mat_j++ = tcol - 1;
        ierr     = PetscMemcpy(mat_a,a->a+k*bs2,bs2*sizeof(MatScalar));CHKERRQ(ierr);
        mat_a   += bs2;
        (*mat_ilen)++;
      }
    }
  }

  /* Free work space */
  ierr = PetscFree(smap);CHKERRQ(ierr);
  ierr = PetscFree(lens);CHKERRQ(ierr);
  ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);

  ierr = ISRestoreIndices(isrow,&irow);CHKERRQ(ierr);
  *B = C;
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatGetSubMatrix_SeqSBAIJ"
int MatGetSubMatrix_SeqSBAIJ(Mat A,IS isrow,IS iscol,int cs,MatReuse scall,Mat *B)
{
  Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data;
  IS          is1;
  int         *vary,*iary,*irow,nrows,i,ierr,bs=a->bs,count;

  PetscFunctionBegin;
  if (isrow != iscol) SETERRA(1,0,"MatGetSubmatrices_SeqSBAIJ: For symm. format, iscol must equal isro");

  ierr = ISGetIndices(isrow,&irow);CHKERRQ(ierr);
  ierr = ISGetSize(isrow,&nrows);CHKERRQ(ierr);

  /* Verify if the indices corespond to each element in a block
   and form the IS with compressed IS */
  vary = (int*)PetscMalloc(2*(a->mbs+1)*sizeof(int));CHKPTRQ(vary);
  iary = vary + a->mbs;
  ierr = PetscMemzero(vary,(a->mbs)*sizeof(int));CHKERRQ(ierr);
  for (i=0; i<nrows; i++) vary[irow[i]/bs]++;

  count = 0;
  for (i=0; i<a->mbs; i++) {
    if (vary[i]!=0 && vary[i]!=bs) SETERRA(1,0,"Index set does not match blocks");
    if (vary[i]==bs) iary[count++] = i;
  }
  ierr = ISCreateGeneral(PETSC_COMM_SELF,count,iary,&is1);CHKERRQ(ierr);

  ierr = ISRestoreIndices(isrow,&irow);CHKERRQ(ierr);
  ierr = PetscFree(vary);CHKERRQ(ierr);

  ierr = MatGetSubMatrix_SeqSBAIJ_Private(A,is1,is1,cs,scall,B);CHKERRQ(ierr);
  ISDestroy(is1);
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatGetSubMatrices_SeqSBAIJ"
int MatGetSubMatrices_SeqSBAIJ(Mat A,int n,IS *irow,IS *icol,MatReuse scall,Mat **B)
{
  int ierr,i;

  PetscFunctionBegin;
  if (scall == MAT_INITIAL_MATRIX) {
    *B = (Mat*)PetscMalloc((n+1)*sizeof(Mat));CHKPTRQ(*B);
  }

  for (i=0; i<n; i++) {
    ierr = MatGetSubMatrix_SeqSBAIJ(A,irow[i],icol[i],PETSC_DECIDE,scall,&(*B)[i]);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}

/* -------------------------------------------------------*/
/* Should check that shapes of vectors and matrices match */
/* -------------------------------------------------------*/
#include "petscblaslapack.h"

#undef __FUNC__
#define __FUNC__ "MatMult_SeqSBAIJ_1"
int MatMult_SeqSBAIJ_1(Mat A,Vec xx,Vec zz)
{
  Mat_SeqSBAIJ    *a = (Mat_SeqSBAIJ*)A->data;
  Scalar          *x,*z,*xb,x1,zero=0.0;
  MatScalar       *v;
  int             mbs=a->mbs,i,*aj=a->j,*ai=a->i,n,ierr,*ib,cval,j;

  PetscFunctionBegin;
  ierr = VecSet(&zero,zz);CHKERRQ(ierr);
  ierr = VecGetArray(xx,&x);CHKERRQ(ierr);
  ierr = VecGetArray(zz,&z);CHKERRQ(ierr);

  v  = a->a;
  xb = x;

  for (i=0; i<mbs; i++) {
    n  = ai[1] - ai[0];  /* length of i_th row of A */
    x1 = xb[0];
    ib = aj + *ai;
    z[i] += *v++ * x[*ib++];   /* (diag of A)*x */
    for (j=1; j<n; j++) {
      cval    = *ib;
      z[cval] += *v * x1;      /* (strict lower triangular part of A)*x  */
      z[i] += *v++ * x[*ib++]; /* (strict upper triangular part of A)*x  */
    }
    xb++; ai++;
  }

  ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr);
  ierr = VecRestoreArray(zz,&z);CHKERRQ(ierr);
  PLogFlops(2*(a->s_nz*2 - a->m) - a->m);  /* s_nz = (nz+m)/2 */
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatMult_SeqSBAIJ_2"
int MatMult_SeqSBAIJ_2(Mat A,Vec xx,Vec zz)
{
  Mat_SeqSBAIJ     *a = (Mat_SeqSBAIJ*)A->data;
  Scalar          *x,*z,*xb,x1,x2,zero=0.0;
  MatScalar       *v;
  int             mbs=a->mbs,i,*aj=a->j,*ai=a->i,n,ierr,*ib,cval,j;


  PetscFunctionBegin;
  ierr = VecSet(&zero,zz);CHKERRQ(ierr);
  ierr = VecGetArray(xx,&x);CHKERRQ(ierr);
  ierr = VecGetArray(zz,&z);CHKERRQ(ierr);

  v     = a->a;
  xb = x;

  for (i=0; i<mbs; i++) {
    n  = ai[1] - ai[0]; /* length of i_th block row of A */
    x1 = xb[0]; x2 = xb[1];
    ib = aj + *ai;
    /* (diag of A)*x */
    z[2*i]   += v[0]*x1 + v[2]*x2;
    z[2*i+1] += v[2]*x1 + v[3]*x2;
    v += 4;
    for (j=1; j<n; j++) {
      /* (strict lower triangular part of A)*x  */
      cval       = ib[j]*2;
      z[cval]     += v[0]*x1 + v[1]*x2;
      z[cval+1]   += v[2]*x1 + v[3]*x2;
      /* (strict upper triangular part of A)*x  */
      z[2*i]   += v[0]*x[cval] + v[2]*x[cval+1];
      z[2*i+1] += v[1]*x[cval] + v[3]*x[cval+1];
      v  += 4;
    }
    xb +=2; ai++;
  }

  ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr);
  ierr = VecRestoreArray(zz,&z);CHKERRQ(ierr);
  PLogFlops(8*(a->s_nz*2 - a->m) - a->m);
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatMult_SeqSBAIJ_3"
int MatMult_SeqSBAIJ_3(Mat A,Vec xx,Vec zz)
{
  Mat_SeqSBAIJ  *a = (Mat_SeqSBAIJ*)A->data;
  Scalar          *x,*z,*xb,x1,x2,x3,zero=0.0;
  MatScalar       *v;
  int             mbs=a->mbs,i,*aj=a->j,*ai=a->i,n,ierr,*ib,cval,j;


  PetscFunctionBegin;
  ierr = VecSet(&zero,zz);CHKERRQ(ierr);
  ierr = VecGetArray(xx,&x);CHKERRQ(ierr);
  ierr = VecGetArray(zz,&z);CHKERRQ(ierr);

  v     = a->a;
  xb = x;

  for (i=0; i<mbs; i++) {
    n  = ai[1] - ai[0]; /* length of i_th block row of A */
    x1 = xb[0]; x2 = xb[1]; x3 = xb[2];
    ib = aj + *ai;
    /* (diag of A)*x */
    z[3*i]   += v[0]*x1 + v[3]*x2 + v[6]*x3;
    z[3*i+1] += v[3]*x1 + v[4]*x2 + v[7]*x3;
    z[3*i+2] += v[6]*x1 + v[7]*x2 + v[8]*x3;
    v += 9;
    for (j=1; j<n; j++) {
      /* (strict lower triangular part of A)*x  */
      cval       = ib[j]*3;
      z[cval]     += v[0]*x1 + v[1]*x2 + v[2]*x3;
      z[cval+1]   += v[3]*x1 + v[4]*x2 + v[5]*x3;
      z[cval+2]   += v[6]*x1 + v[7]*x2 + v[8]*x3;
      /* (strict upper triangular part of A)*x  */
      z[3*i]   += v[0]*x[cval] + v[3]*x[cval+1]+ v[6]*x[cval+2];
      z[3*i+1] += v[1]*x[cval] + v[4]*x[cval+1]+ v[7]*x[cval+2];
      z[3*i+2] += v[2]*x[cval] + v[5]*x[cval+1]+ v[8]*x[cval+2];
      v  += 9;
    }
    xb +=3; ai++;
  }

  ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr);
  ierr = VecRestoreArray(zz,&z);CHKERRQ(ierr);
  PLogFlops(18*(a->s_nz*2 - a->m) - a->m);
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatMult_SeqSBAIJ_4"
int MatMult_SeqSBAIJ_4(Mat A,Vec xx,Vec zz)
{
  Mat_SeqSBAIJ     *a = (Mat_SeqSBAIJ*)A->data;
  Scalar          *x,*z,*xb,x1,x2,x3,x4,zero=0.0;
  MatScalar       *v;
  int             mbs=a->mbs,i,*aj=a->j,*ai=a->i,n,ierr,*ib,cval,j;

  PetscFunctionBegin;
  ierr = VecSet(&zero,zz);CHKERRQ(ierr);
  ierr = VecGetArray(xx,&x);CHKERRQ(ierr);
  ierr = VecGetArray(zz,&z);CHKERRQ(ierr);

  v     = a->a;
  xb = x;

  for (i=0; i<mbs; i++) {
    n  = ai[1] - ai[0]; /* length of i_th block row of A */
    x1 = xb[0]; x2 = xb[1]; x3 = xb[2]; x4 = xb[3];
    ib = aj + *ai;
    /* (diag of A)*x */
    z[4*i]   += v[0]*x1 + v[4]*x2 +  v[8]*x3 + v[12]*x4;
    z[4*i+1] += v[4]*x1 + v[5]*x2 +  v[9]*x3 + v[13]*x4;
    z[4*i+2] += v[8]*x1 + v[9]*x2 + v[10]*x3 + v[14]*x4;
    z[4*i+3] += v[12]*x1+ v[13]*x2+ v[14]*x3 + v[15]*x4;
    v += 16;
    for (j=1; j<n; j++) {
      /* (strict lower triangular part of A)*x  */
      cval       = ib[j]*4;
      z[cval]     += v[0]*x1 + v[1]*x2 + v[2]*x3 + v[3]*x4;
      z[cval+1]   += v[4]*x1 + v[5]*x2 + v[6]*x3 + v[7]*x4;
      z[cval+2]   += v[8]*x1 + v[9]*x2 + v[10]*x3 + v[11]*x4;
      z[cval+3]   += v[12]*x1 + v[13]*x2 + v[14]*x3 + v[15]*x4;
      /* (strict upper triangular part of A)*x  */
      z[4*i]   += v[0]*x[cval] + v[4]*x[cval+1]+ v[8]*x[cval+2] + v[12]*x[cval+3];
      z[4*i+1] += v[1]*x[cval] + v[5]*x[cval+1]+ v[9]*x[cval+2] + v[13]*x[cval+3];
      z[4*i+2] += v[2]*x[cval] + v[6]*x[cval+1]+ v[10]*x[cval+2]+ v[14]*x[cval+3];
      z[4*i+3] += v[3]*x[cval] + v[7]*x[cval+1]+ v[11]*x[cval+2]+ v[15]*x[cval+3];
      v  += 16;
    }
    xb +=4; ai++;
  }

  ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr);
  ierr = VecRestoreArray(zz,&z);CHKERRQ(ierr);
  PLogFlops(32*(a->s_nz*2 - a->m) - a->m);
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatMult_SeqSBAIJ_5"
int MatMult_SeqSBAIJ_5(Mat A,Vec xx,Vec zz)
{
  Mat_SeqSBAIJ     *a = (Mat_SeqSBAIJ*)A->data;
  Scalar          *x,*z,*xb,x1,x2,x3,x4,x5,zero=0.0;
  MatScalar       *v;
  int             mbs=a->mbs,i,*aj=a->j,*ai=a->i,n,ierr,*ib,cval,j;

  PetscFunctionBegin;
  ierr = VecSet(&zero,zz);CHKERRQ(ierr);
  ierr = VecGetArray(xx,&x);CHKERRQ(ierr);
  ierr = VecGetArray(zz,&z);CHKERRQ(ierr);

  v     = a->a;
  xb = x;

  for (i=0; i<mbs; i++) {
    n  = ai[1] - ai[0]; /* length of i_th block row of A */
    x1 = xb[0]; x2 = xb[1]; x3 = xb[2]; x4 = xb[3]; x5=xb[4];
    ib = aj + *ai;
    /* (diag of A)*x */
    z[5*i]   += v[0]*x1  + v[5]*x2 + v[10]*x3 + v[15]*x4+ v[20]*x5;
    z[5*i+1] += v[5]*x1  + v[6]*x2 + v[11]*x3 + v[16]*x4+ v[21]*x5;
    z[5*i+2] += v[10]*x1 +v[11]*x2 + v[12]*x3 + v[17]*x4+ v[22]*x5;
    z[5*i+3] += v[15]*x1 +v[16]*x2 + v[17]*x3 + v[18]*x4+ v[23]*x5;
    z[5*i+4] += v[20]*x1 +v[21]*x2 + v[22]*x3 + v[23]*x4+ v[24]*x5;
    v += 25;
    for (j=1; j<n; j++) {
      /* (strict lower triangular part of A)*x  */
      cval       = ib[j]*5;
      z[cval]     += v[0]*x1 + v[1]*x2 + v[2]*x3 + v[3]*x4 + v[4]*x5;
      z[cval+1]   += v[5]*x1 + v[6]*x2 + v[7]*x3 + v[8]*x4 + v[9]*x5;
      z[cval+2]   += v[10]*x1 + v[11]*x2 + v[12]*x3 + v[13]*x4+ v[14]*x5;
      z[cval+3]   += v[15]*x1 + v[16]*x2 + v[17]*x3 + v[18]*x4+ v[19]*x5;
      z[cval+4]   += v[20]*x1 + v[21]*x2 + v[22]*x3 + v[23]*x4+ v[24]*x5;
      /* (strict upper triangular part of A)*x  */
      z[5*i]   +=v[0]*x[cval]+v[5]*x[cval+1]+v[10]*x[cval+2]+v[15]*x[cval+3]+v[20]*x[cval+4];
      z[5*i+1] +=v[1]*x[cval]+v[6]*x[cval+1]+v[11]*x[cval+2]+v[16]*x[cval+3]+v[21]*x[cval+4];
      z[5*i+2] +=v[2]*x[cval]+v[7]*x[cval+1]+v[12]*x[cval+2]+v[17]*x[cval+3]+v[22]*x[cval+4];
      z[5*i+3] +=v[3]*x[cval]+v[8]*x[cval+1]+v[13]*x[cval+2]+v[18]*x[cval+3]+v[23]*x[cval+4];
      z[5*i+4] +=v[4]*x[cval]+v[9]*x[cval+1]+v[14]*x[cval+2]+v[19]*x[cval+3]+v[24]*x[cval+4];
      v  += 25;
    }
    xb +=5; ai++;
  }

  ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr);
  ierr = VecRestoreArray(zz,&z);CHKERRQ(ierr);
  PLogFlops(50*(a->s_nz*2 - a->m) - a->m);
  PetscFunctionReturn(0);
}


#undef __FUNC__
#define __FUNC__ "MatMult_SeqSBAIJ_6"
int MatMult_SeqSBAIJ_6(Mat A,Vec xx,Vec zz)
{
  Mat_SeqSBAIJ     *a = (Mat_SeqSBAIJ*)A->data;
  Scalar          *x,*z,*xb,x1,x2,x3,x4,x5,x6,zero=0.0;
  MatScalar       *v;
  int             mbs=a->mbs,i,*aj=a->j,*ai=a->i,n,ierr,*ib,cval,j;

  PetscFunctionBegin;
  ierr = VecSet(&zero,zz);CHKERRQ(ierr);
  ierr = VecGetArray(xx,&x);CHKERRQ(ierr);
  ierr = VecGetArray(zz,&z);CHKERRQ(ierr);

  v     = a->a;
  xb = x;

  for (i=0; i<mbs; i++) {
    n  = ai[1] - ai[0]; /* length of i_th block row of A */
    x1 = xb[0]; x2 = xb[1]; x3 = xb[2]; x4 = xb[3]; x5=xb[4]; x6=xb[5];
    ib = aj + *ai;
    /* (diag of A)*x */
    z[6*i]   += v[0]*x1  + v[6]*x2 + v[12]*x3 + v[18]*x4+ v[24]*x5 + v[30]*x6;
    z[6*i+1] += v[6]*x1  + v[7]*x2 + v[13]*x3 + v[19]*x4+ v[25]*x5 + v[31]*x6;
    z[6*i+2] += v[12]*x1 +v[13]*x2 + v[14]*x3 + v[20]*x4+ v[26]*x5 + v[32]*x6;
    z[6*i+3] += v[18]*x1 +v[19]*x2 + v[20]*x3 + v[21]*x4+ v[27]*x5 + v[33]*x6;
    z[6*i+4] += v[24]*x1 +v[25]*x2 + v[26]*x3 + v[27]*x4+ v[28]*x5 + v[34]*x6;
    z[6*i+5] += v[30]*x1 +v[31]*x2 + v[32]*x3 + v[33]*x4+ v[34]*x5 + v[35]*x6;
    v += 36;
    for (j=1; j<n; j++) {
      /* (strict lower triangular part of A)*x  */
      cval       = ib[j]*6;
      z[cval]   += v[0]*x1  + v[1]*x2 + v[2]*x3 + v[3]*x4+ v[4]*x5 + v[5]*x6;
      z[cval+1] += v[6]*x1  + v[7]*x2 + v[8]*x3 + v[9]*x4+ v[10]*x5 + v[11]*x6;
      z[cval+2] += v[12]*x1  + v[13]*x2 + v[14]*x3 + v[15]*x4+ v[16]*x5 + v[17]*x6;
      z[cval+3] += v[18]*x1  + v[19]*x2 + v[20]*x3 + v[21]*x4+ v[22]*x5 + v[23]*x6;
      z[cval+4] += v[24]*x1  + v[25]*x2 + v[26]*x3 + v[27]*x4+ v[28]*x5 + v[29]*x6;
      z[cval+5] += v[30]*x1  + v[31]*x2 + v[32]*x3 + v[33]*x4+ v[34]*x5 + v[35]*x6;
      /* (strict upper triangular part of A)*x  */
      z[6*i]   +=v[0]*x[cval]+v[6]*x[cval+1]+v[12]*x[cval+2]+v[18]*x[cval+3]+v[24]*x[cval+4]+v[30]*x[cval+5];
      z[6*i+1] +=v[1]*x[cval]+v[7]*x[cval+1]+v[13]*x[cval+2]+v[19]*x[cval+3]+v[25]*x[cval+4]+v[31]*x[cval+5];
      z[6*i+2] +=v[2]*x[cval]+v[8]*x[cval+1]+v[14]*x[cval+2]+v[20]*x[cval+3]+v[26]*x[cval+4]+v[32]*x[cval+5];
      z[6*i+3] +=v[3]*x[cval]+v[9]*x[cval+1]+v[15]*x[cval+2]+v[21]*x[cval+3]+v[27]*x[cval+4]+v[33]*x[cval+5];
      z[6*i+4] +=v[4]*x[cval]+v[10]*x[cval+1]+v[16]*x[cval+2]+v[22]*x[cval+3]+v[28]*x[cval+4]+v[34]*x[cval+5];
      z[6*i+5] +=v[5]*x[cval]+v[11]*x[cval+1]+v[17]*x[cval+2]+v[23]*x[cval+3]+v[29]*x[cval+4]+v[35]*x[cval+5];
      v  += 36;
    }
    xb +=6; ai++;
  }

  ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr);
  ierr = VecRestoreArray(zz,&z);CHKERRQ(ierr);
  PLogFlops(72*(a->s_nz*2 - a->m) - a->m);
  PetscFunctionReturn(0);
}
#undef __FUNC__
#define __FUNC__ "MatMult_SeqSBAIJ_7"
int MatMult_SeqSBAIJ_7(Mat A,Vec xx,Vec zz)
{
  Mat_SeqSBAIJ     *a = (Mat_SeqSBAIJ*)A->data;
  Scalar          *x,*z,*xb,x1,x2,x3,x4,x5,x6,x7,zero=0.0;
  MatScalar       *v;
  int             mbs=a->mbs,i,*aj=a->j,*ai=a->i,n,ierr,*ib,cval,j;

  PetscFunctionBegin;
  ierr = VecSet(&zero,zz);CHKERRQ(ierr);
  ierr = VecGetArray(xx,&x);CHKERRQ(ierr);
  ierr = VecGetArray(zz,&z);CHKERRQ(ierr);

  v     = a->a;
  xb = x;

  for (i=0; i<mbs; i++) {
    n  = ai[1] - ai[0]; /* length of i_th block row of A */
    x1 = xb[0]; x2 = xb[1]; x3 = xb[2]; x4 = xb[3]; x5=xb[4]; x6=xb[5]; x7=xb[6];
    ib = aj + *ai;
    /* (diag of A)*x */
    z[7*i]   += v[0]*x1 + v[7]*x2 + v[14]*x3 + v[21]*x4+ v[28]*x5 + v[35]*x6+ v[42]*x7;
    z[7*i+1] += v[7]*x1 + v[8]*x2 + v[15]*x3 + v[22]*x4+ v[29]*x5 + v[36]*x6+ v[43]*x7;
    z[7*i+2] += v[14]*x1+ v[15]*x2 +v[16]*x3 + v[23]*x4+ v[30]*x5 + v[37]*x6+ v[44]*x7;
    z[7*i+3] += v[21]*x1+ v[22]*x2 +v[23]*x3 + v[24]*x4+ v[31]*x5 + v[38]*x6+ v[45]*x7;
    z[7*i+4] += v[28]*x1+ v[29]*x2 +v[30]*x3 + v[31]*x4+ v[32]*x5 + v[39]*x6+ v[46]*x7;
    z[7*i+5] += v[35]*x1+ v[36]*x2 +v[37]*x3 + v[38]*x4+ v[39]*x5 + v[40]*x6+ v[47]*x7;
    z[7*i+6] += v[42]*x1+ v[43]*x2 +v[44]*x3 + v[45]*x4+ v[46]*x5 + v[47]*x6+ v[48]*x7;
    v += 49;
    for (j=1; j<n; j++) {
      /* (strict lower triangular part of A)*x  */
      cval       = ib[j]*7;
      z[cval]   += v[0]*x1  + v[1]*x2 + v[2]*x3 + v[3]*x4+ v[4]*x5 + v[5]*x6+ v[6]*x7;
      z[cval+1] += v[7]*x1  + v[8]*x2 + v[9]*x3 + v[10]*x4+ v[11]*x5 + v[12]*x6+ v[13]*x7;
      z[cval+2] += v[14]*x1  + v[15]*x2 + v[16]*x3 + v[17]*x4+ v[18]*x5 + v[19]*x6+ v[20]*x7;
      z[cval+3] += v[21]*x1  + v[22]*x2 + v[23]*x3 + v[24]*x4+ v[25]*x5 + v[26]*x6+ v[27]*x7;
      z[cval+4] += v[28]*x1  + v[29]*x2 + v[30]*x3 + v[31]*x4+ v[32]*x5 + v[33]*x6+ v[34]*x7;
      z[cval+5] += v[35]*x1  + v[36]*x2 + v[37]*x3 + v[38]*x4+ v[39]*x5 + v[40]*x6+ v[41]*x7;
      z[cval+6] += v[42]*x1  + v[43]*x2 + v[44]*x3 + v[45]*x4+ v[46]*x5 + v[47]*x6+ v[48]*x7;
      /* (strict upper triangular part of A)*x  */
      z[7*i]  +=v[0]*x[cval]+v[7]*x[cval+1]+v[14]*x[cval+2]+v[21]*x[cval+3]+v[28]*x[cval+4]+v[35]*x[cval+5]+v[42]*x[cval+6];
      z[7*i+1]+=v[1]*x[cval]+v[8]*x[cval+1]+v[15]*x[cval+2]+v[22]*x[cval+3]+v[29]*x[cval+4]+v[36]*x[cval+5]+v[43]*x[cval+6];
      z[7*i+2]+=v[2]*x[cval]+v[9]*x[cval+1]+v[16]*x[cval+2]+v[23]*x[cval+3]+v[30]*x[cval+4]+v[37]*x[cval+5]+v[44]*x[cval+6];
      z[7*i+3]+=v[3]*x[cval]+v[10]*x[cval+1]+v[17]*x[cval+2]+v[24]*x[cval+3]+v[31]*x[cval+4]+v[38]*x[cval+5]+v[45]*x[cval+6];
      z[7*i+4]+=v[4]*x[cval]+v[11]*x[cval+1]+v[18]*x[cval+2]+v[25]*x[cval+3]+v[32]*x[cval+4]+v[39]*x[cval+5]+v[46]*x[cval+6];
      z[7*i+5]+=v[5]*x[cval]+v[12]*x[cval+1]+v[19]*x[cval+2]+v[26]*x[cval+3]+v[33]*x[cval+4]+v[40]*x[cval+5]+v[47]*x[cval+6];
      z[7*i+6]+=v[6]*x[cval]+v[13]*x[cval+1]+v[20]*x[cval+2]+v[27]*x[cval+3]+v[34]*x[cval+4]+v[41]*x[cval+5]+v[48]*x[cval+6];
      v  += 49;
    }
    xb +=7; ai++;
  }
  ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr);
  ierr = VecRestoreArray(zz,&z);CHKERRQ(ierr);
  PLogFlops(98*(a->s_nz*2 - a->m) - a->m);
  PetscFunctionReturn(0);
}

/*
    This will not work with MatScalar == float because it calls the BLAS
*/
#undef __FUNC__
#define __FUNC__ "MatMult_SeqSBAIJ_N"
int MatMult_SeqSBAIJ_N(Mat A,Vec xx,Vec zz)
{
  Mat_SeqSBAIJ     *a = (Mat_SeqSBAIJ*)A->data;
  Scalar          *x,*x_ptr,*z,*z_ptr,*xb,*zb,*work,*workt,zero=0.0;
  MatScalar       *v;
  int             ierr,mbs=a->mbs,i,*idx,*aj,*ii,bs=a->bs,j,n,bs2=a->bs2;
  int             ncols,k;

  PetscFunctionBegin;
  ierr = VecSet(&zero,zz);CHKERRQ(ierr);
  ierr = VecGetArray(xx,&x);CHKERRQ(ierr); x_ptr=x;
  ierr = VecGetArray(zz,&z);CHKERRQ(ierr); z_ptr=z;

  aj   = a->j;
  v    = a->a;
  ii   = a->i;

  if (!a->mult_work) {
    k = a->m;
    a->mult_work = (Scalar*)PetscMalloc((k+1)*sizeof(Scalar));CHKPTRQ(a->mult_work);
  }
  work = a->mult_work;

  for (i=0; i<mbs; i++) {
    n     = ii[1] - ii[0]; ncols = n*bs;
    workt = work; idx=aj+ii[0];

    /* upper triangular part */
    for (j=0; j<n; j++) {
      /* col = bs*(*idx); */
      xb = x_ptr + bs*(*idx++);
      for (k=0; k<bs; k++) workt[k] = xb[k];
      workt += bs;
    }
    /* z(i*bs:(i+1)*bs-1) += A(i,:)*x */
    Kernel_w_gets_w_plus_Ar_times_v(bs,ncols,work,v,z);

    /* strict lower triangular part */
    ncols -= bs;
    if (ncols > 0){
      workt = work;
      ierr  = PetscMemzero(workt,ncols*sizeof(Scalar));CHKERRQ(ierr);
      Kernel_w_gets_w_plus_trans_Ar_times_v(bs,ncols,x,v+bs2,workt);

      idx=aj+ii[0]+1;
      for (j=1; j<n; j++) {
        zb = z_ptr + bs*(*idx);
        idx++;
        for (k=0; k<bs; k++) zb[k] += workt[k] ;
        workt += bs;
      }
    }

    x += bs; v += n*bs2; z += bs; ii++;
  }

  ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr);
  ierr = VecRestoreArray(zz,&z);CHKERRQ(ierr);
  PLogFlops(2*(a->s_nz*2 - a->m)*bs2 - a->m);
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatMultAdd_SeqSBAIJ_1"
int MatMultAdd_SeqSBAIJ_1(Mat A,Vec xx,Vec yy,Vec zz)
{
  Mat_SeqSBAIJ    *a = (Mat_SeqSBAIJ*)A->data;
  Scalar          *x,*y,*z,*xb,x1;
  MatScalar       *v;
  int             mbs=a->mbs,i,*aj=a->j,*ai=a->i,n,ierr,*ib,cval,j;

  PetscFunctionBegin;
  ierr = VecGetArray(xx,&x);CHKERRQ(ierr);
  if (yy != xx) {
    ierr = VecGetArray(yy,&y);CHKERRQ(ierr);
  } else {
    y = x;
  }
  if (zz != yy) {
    ierr = VecCopy(yy,zz);CHKERRQ(ierr);
    ierr = VecGetArray(zz,&z);CHKERRQ(ierr);
  } else {
    z = y;
  }

  v  = a->a;
  xb = x;

  for (i=0; i<mbs; i++) {
    n  = ai[1] - ai[0];  /* length of i_th row of A */
    x1 = xb[0];
    ib = aj + *ai;
    z[i] += *v++ * x[*ib++];   /* (diag of A)*x */
    for (j=1; j<n; j++) {
      cval    = *ib;
      z[cval] += *v * x1;      /* (strict lower triangular part of A)*x  */
      z[i] += *v++ * x[*ib++]; /* (strict upper triangular part of A)*x  */
    }
    xb++; ai++;
  }

  ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr);
  if (yy != xx) ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr);
  if (zz != yy) ierr = VecRestoreArray(zz,&z);CHKERRQ(ierr);

  PLogFlops(2*(a->s_nz*2 - a->m));
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatMultAdd_SeqSBAIJ_2"
int MatMultAdd_SeqSBAIJ_2(Mat A,Vec xx,Vec yy,Vec zz)
{
  Mat_SeqSBAIJ     *a = (Mat_SeqSBAIJ*)A->data;
  Scalar          *x,*y,*z,*xb,x1,x2;
  MatScalar       *v;
  int             mbs=a->mbs,i,*aj=a->j,*ai=a->i,n,ierr,*ib,cval,j;

  PetscFunctionBegin;
  ierr = VecGetArray(xx,&x);CHKERRQ(ierr);
  if (yy != xx) {
    ierr = VecGetArray(yy,&y);CHKERRQ(ierr);
  } else {
    y = x;
  }
  if (zz != yy) {
    ierr = VecCopy(yy,zz);CHKERRQ(ierr);
    ierr = VecGetArray(zz,&z);CHKERRQ(ierr);
  } else {
    z = y;
  }

  v     = a->a;
  xb = x;

  for (i=0; i<mbs; i++) {
    n  = ai[1] - ai[0]; /* length of i_th block row of A */
    x1 = xb[0]; x2 = xb[1];
    ib = aj + *ai;
    /* (diag of A)*x */
    z[2*i]   += v[0]*x1 + v[2]*x2;
    z[2*i+1] += v[2]*x1 + v[3]*x2;
    v += 4;
    for (j=1; j<n; j++) {
      /* (strict lower triangular part of A)*x  */
      cval       = ib[j]*2;
      z[cval]     += v[0]*x1 + v[1]*x2;
      z[cval+1]   += v[2]*x1 + v[3]*x2;
      /* (strict upper triangular part of A)*x  */
      z[2*i]   += v[0]*x[cval] + v[2]*x[cval+1];
      z[2*i+1] += v[1]*x[cval] + v[3]*x[cval+1];
      v  += 4;
    }
    xb +=2; ai++;
  }

  ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr);
  if (yy != xx) ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr);
  if (zz != yy) ierr = VecRestoreArray(zz,&z);CHKERRQ(ierr);

  PLogFlops(4*(a->s_nz*2 - a->m));
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatMultAdd_SeqSBAIJ_3"
int MatMultAdd_SeqSBAIJ_3(Mat A,Vec xx,Vec yy,Vec zz)
{
  Mat_SeqSBAIJ  *a = (Mat_SeqSBAIJ*)A->data;
  Scalar          *x,*y,*z,*xb,x1,x2,x3;
  MatScalar       *v;
  int             mbs=a->mbs,i,*aj=a->j,*ai=a->i,n,ierr,*ib,cval,j;

  PetscFunctionBegin;
  ierr = VecGetArray(xx,&x);CHKERRQ(ierr);
  if (yy != xx) {
    ierr = VecGetArray(yy,&y);CHKERRQ(ierr);
  } else {
    y = x;
  }
  if (zz != yy) {
    ierr = VecCopy(yy,zz);CHKERRQ(ierr);
    ierr = VecGetArray(zz,&z);CHKERRQ(ierr);
  } else {
    z = y;
  }

  v     = a->a;
  xb = x;

  for (i=0; i<mbs; i++) {
    n  = ai[1] - ai[0]; /* length of i_th block row of A */
    x1 = xb[0]; x2 = xb[1]; x3 = xb[2];
    ib = aj + *ai;
    /* (diag of A)*x */
    z[3*i]   += v[0]*x1 + v[3]*x2 + v[6]*x3;
    z[3*i+1] += v[3]*x1 + v[4]*x2 + v[7]*x3;
    z[3*i+2] += v[6]*x1 + v[7]*x2 + v[8]*x3;
    v += 9;
    for (j=1; j<n; j++) {
      /* (strict lower triangular part of A)*x  */
      cval       = ib[j]*3;
      z[cval]     += v[0]*x1 + v[1]*x2 + v[2]*x3;
      z[cval+1]   += v[3]*x1 + v[4]*x2 + v[5]*x3;
      z[cval+2]   += v[6]*x1 + v[7]*x2 + v[8]*x3;
      /* (strict upper triangular part of A)*x  */
      z[3*i]   += v[0]*x[cval] + v[3]*x[cval+1]+ v[6]*x[cval+2];
      z[3*i+1] += v[1]*x[cval] + v[4]*x[cval+1]+ v[7]*x[cval+2];
      z[3*i+2] += v[2]*x[cval] + v[5]*x[cval+1]+ v[8]*x[cval+2];
      v  += 9;
    }
    xb +=3; ai++;
  }

  ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr);
  if (yy != xx) ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr);
  if (zz != yy) ierr = VecRestoreArray(zz,&z);CHKERRQ(ierr);

  PLogFlops(18*(a->s_nz*2 - a->m));
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatMultAdd_SeqSBAIJ_4"
int MatMultAdd_SeqSBAIJ_4(Mat A,Vec xx,Vec yy,Vec zz)
{
  Mat_SeqSBAIJ     *a = (Mat_SeqSBAIJ*)A->data;
  Scalar          *x,*y,*z,*xb,x1,x2,x3,x4;
  MatScalar       *v;
  int             mbs=a->mbs,i,*aj=a->j,*ai=a->i,n,ierr,*ib,cval,j;

  PetscFunctionBegin;
  ierr = VecGetArray(xx,&x);CHKERRQ(ierr);
  if (yy != xx) {
    ierr = VecGetArray(yy,&y);CHKERRQ(ierr);
  } else {
    y = x;
  }
  if (zz != yy) {
    ierr = VecCopy(yy,zz);CHKERRQ(ierr);
    ierr = VecGetArray(zz,&z);CHKERRQ(ierr);
  } else {
    z = y;
  }

  v     = a->a;
  xb = x;

  for (i=0; i<mbs; i++) {
    n  = ai[1] - ai[0]; /* length of i_th block row of A */
    x1 = xb[0]; x2 = xb[1]; x3 = xb[2]; x4 = xb[3];
    ib = aj + *ai;
    /* (diag of A)*x */
    z[4*i]   += v[0]*x1 + v[4]*x2 +  v[8]*x3 + v[12]*x4;
    z[4*i+1] += v[4]*x1 + v[5]*x2 +  v[9]*x3 + v[13]*x4;
    z[4*i+2] += v[8]*x1 + v[9]*x2 + v[10]*x3 + v[14]*x4;
    z[4*i+3] += v[12]*x1+ v[13]*x2+ v[14]*x3 + v[15]*x4;
    v += 16;
    for (j=1; j<n; j++) {
      /* (strict lower triangular part of A)*x  */
      cval       = ib[j]*4;
      z[cval]     += v[0]*x1 + v[1]*x2 + v[2]*x3 + v[3]*x4;
      z[cval+1]   += v[4]*x1 + v[5]*x2 + v[6]*x3 + v[7]*x4;
      z[cval+2]   += v[8]*x1 + v[9]*x2 + v[10]*x3 + v[11]*x4;
      z[cval+3]   += v[12]*x1 + v[13]*x2 + v[14]*x3 + v[15]*x4;
      /* (strict upper triangular part of A)*x  */
      z[4*i]   += v[0]*x[cval] + v[4]*x[cval+1]+ v[8]*x[cval+2] + v[12]*x[cval+3];
      z[4*i+1] += v[1]*x[cval] + v[5]*x[cval+1]+ v[9]*x[cval+2] + v[13]*x[cval+3];
      z[4*i+2] += v[2]*x[cval] + v[6]*x[cval+1]+ v[10]*x[cval+2]+ v[14]*x[cval+3];
      z[4*i+3] += v[3]*x[cval] + v[7]*x[cval+1]+ v[11]*x[cval+2]+ v[15]*x[cval+3];
      v  += 16;
    }
    xb +=4; ai++;
  }

  ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr);
  if (yy != xx) ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr);
  if (zz != yy) ierr = VecRestoreArray(zz,&z);CHKERRQ(ierr);

  PLogFlops(32*(a->s_nz*2 - a->m));
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatMultAdd_SeqSBAIJ_5"
int MatMultAdd_SeqSBAIJ_5(Mat A,Vec xx,Vec yy,Vec zz)
{
  Mat_SeqSBAIJ     *a = (Mat_SeqSBAIJ*)A->data;
  Scalar          *x,*y,*z,*xb,x1,x2,x3,x4,x5;
  MatScalar       *v;
  int             mbs=a->mbs,i,*aj=a->j,*ai=a->i,n,ierr,*ib,cval,j;

  PetscFunctionBegin;
  ierr = VecGetArray(xx,&x);CHKERRQ(ierr);
  if (yy != xx) {
    ierr = VecGetArray(yy,&y);CHKERRQ(ierr);
  } else {
    y = x;
  }
  if (zz != yy) {
    ierr = VecCopy(yy,zz);CHKERRQ(ierr);
    ierr = VecGetArray(zz,&z);CHKERRQ(ierr);
  } else {
    z = y;
  }

  v     = a->a;
  xb = x;

  for (i=0; i<mbs; i++) {
    n  = ai[1] - ai[0]; /* length of i_th block row of A */
    x1 = xb[0]; x2 = xb[1]; x3 = xb[2]; x4 = xb[3]; x5=xb[4];
    ib = aj + *ai;
    /* (diag of A)*x */
    z[5*i]   += v[0]*x1  + v[5]*x2 + v[10]*x3 + v[15]*x4+ v[20]*x5;
    z[5*i+1] += v[5]*x1  + v[6]*x2 + v[11]*x3 + v[16]*x4+ v[21]*x5;
    z[5*i+2] += v[10]*x1 +v[11]*x2 + v[12]*x3 + v[17]*x4+ v[22]*x5;
    z[5*i+3] += v[15]*x1 +v[16]*x2 + v[17]*x3 + v[18]*x4+ v[23]*x5;
    z[5*i+4] += v[20]*x1 +v[21]*x2 + v[22]*x3 + v[23]*x4+ v[24]*x5;
    v += 25;
    for (j=1; j<n; j++) {
      /* (strict lower triangular part of A)*x  */
      cval       = ib[j]*5;
      z[cval]     += v[0]*x1 + v[1]*x2 + v[2]*x3 + v[3]*x4 + v[4]*x5;
      z[cval+1]   += v[5]*x1 + v[6]*x2 + v[7]*x3 + v[8]*x4 + v[9]*x5;
      z[cval+2]   += v[10]*x1 + v[11]*x2 + v[12]*x3 + v[13]*x4+ v[14]*x5;
      z[cval+3]   += v[15]*x1 + v[16]*x2 + v[17]*x3 + v[18]*x4+ v[19]*x5;
      z[cval+4]   += v[20]*x1 + v[21]*x2 + v[22]*x3 + v[23]*x4+ v[24]*x5;
      /* (strict upper triangular part of A)*x  */
      z[5*i]   +=v[0]*x[cval]+v[5]*x[cval+1]+v[10]*x[cval+2]+v[15]*x[cval+3]+v[20]*x[cval+4];
      z[5*i+1] +=v[1]*x[cval]+v[6]*x[cval+1]+v[11]*x[cval+2]+v[16]*x[cval+3]+v[21]*x[cval+4];
      z[5*i+2] +=v[2]*x[cval]+v[7]*x[cval+1]+v[12]*x[cval+2]+v[17]*x[cval+3]+v[22]*x[cval+4];
      z[5*i+3] +=v[3]*x[cval]+v[8]*x[cval+1]+v[13]*x[cval+2]+v[18]*x[cval+3]+v[23]*x[cval+4];
      z[5*i+4] +=v[4]*x[cval]+v[9]*x[cval+1]+v[14]*x[cval+2]+v[19]*x[cval+3]+v[24]*x[cval+4];
      v  += 25;
    }
    xb +=5; ai++;
  }

  ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr);
  if (yy != xx) ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr);
  if (zz != yy) ierr = VecRestoreArray(zz,&z);CHKERRQ(ierr);

  PLogFlops(50*(a->s_nz*2 - a->m));
  PetscFunctionReturn(0);
}
#undef __FUNC__
#define __FUNC__ "MatMultAdd_SeqSBAIJ_6"
int MatMultAdd_SeqSBAIJ_6(Mat A,Vec xx,Vec yy,Vec zz)
{
  Mat_SeqSBAIJ     *a = (Mat_SeqSBAIJ*)A->data;
  Scalar          *x,*y,*z,*xb,x1,x2,x3,x4,x5,x6;
  MatScalar       *v;
  int             mbs=a->mbs,i,*aj=a->j,*ai=a->i,n,ierr,*ib,cval,j;

  PetscFunctionBegin;
  ierr = VecGetArray(xx,&x);CHKERRQ(ierr);
  if (yy != xx) {
    ierr = VecGetArray(yy,&y);CHKERRQ(ierr);
  } else {
    y = x;
  }
  if (zz != yy) {
    ierr = VecCopy(yy,zz);CHKERRQ(ierr);
    ierr = VecGetArray(zz,&z);CHKERRQ(ierr);
  } else {
    z = y;
  }

  v     = a->a;
  xb = x;

  for (i=0; i<mbs; i++) {
    n  = ai[1] - ai[0]; /* length of i_th block row of A */
    x1 = xb[0]; x2 = xb[1]; x3 = xb[2]; x4 = xb[3]; x5=xb[4]; x6=xb[5];
    ib = aj + *ai;
    /* (diag of A)*x */
    z[6*i]   += v[0]*x1  + v[6]*x2 + v[12]*x3 + v[18]*x4+ v[24]*x5 + v[30]*x6;
    z[6*i+1] += v[6]*x1  + v[7]*x2 + v[13]*x3 + v[19]*x4+ v[25]*x5 + v[31]*x6;
    z[6*i+2] += v[12]*x1 +v[13]*x2 + v[14]*x3 + v[20]*x4+ v[26]*x5 + v[32]*x6;
    z[6*i+3] += v[18]*x1 +v[19]*x2 + v[20]*x3 + v[21]*x4+ v[27]*x5 + v[33]*x6;
    z[6*i+4] += v[24]*x1 +v[25]*x2 + v[26]*x3 + v[27]*x4+ v[28]*x5 + v[34]*x6;
    z[6*i+5] += v[30]*x1 +v[31]*x2 + v[32]*x3 + v[33]*x4+ v[34]*x5 + v[35]*x6;
    v += 36;
    for (j=1; j<n; j++) {
      /* (strict lower triangular part of A)*x  */
      cval       = ib[j]*6;
      z[cval]   += v[0]*x1  + v[1]*x2 + v[2]*x3 + v[3]*x4+ v[4]*x5 + v[5]*x6;
      z[cval+1] += v[6]*x1  + v[7]*x2 + v[8]*x3 + v[9]*x4+ v[10]*x5 + v[11]*x6;
      z[cval+2] += v[12]*x1  + v[13]*x2 + v[14]*x3 + v[15]*x4+ v[16]*x5 + v[17]*x6;
      z[cval+3] += v[18]*x1  + v[19]*x2 + v[20]*x3 + v[21]*x4+ v[22]*x5 + v[23]*x6;
      z[cval+4] += v[24]*x1  + v[25]*x2 + v[26]*x3 + v[27]*x4+ v[28]*x5 + v[29]*x6;
      z[cval+5] += v[30]*x1  + v[31]*x2 + v[32]*x3 + v[33]*x4+ v[34]*x5 + v[35]*x6;
      /* (strict upper triangular part of A)*x  */
      z[6*i]   +=v[0]*x[cval]+v[6]*x[cval+1]+v[12]*x[cval+2]+v[18]*x[cval+3]+v[24]*x[cval+4]+v[30]*x[cval+5];
      z[6*i+1] +=v[1]*x[cval]+v[7]*x[cval+1]+v[13]*x[cval+2]+v[19]*x[cval+3]+v[25]*x[cval+4]+v[31]*x[cval+5];
      z[6*i+2] +=v[2]*x[cval]+v[8]*x[cval+1]+v[14]*x[cval+2]+v[20]*x[cval+3]+v[26]*x[cval+4]+v[32]*x[cval+5];
      z[6*i+3] +=v[3]*x[cval]+v[9]*x[cval+1]+v[15]*x[cval+2]+v[21]*x[cval+3]+v[27]*x[cval+4]+v[33]*x[cval+5];
      z[6*i+4] +=v[4]*x[cval]+v[10]*x[cval+1]+v[16]*x[cval+2]+v[22]*x[cval+3]+v[28]*x[cval+4]+v[34]*x[cval+5];
      z[6*i+5] +=v[5]*x[cval]+v[11]*x[cval+1]+v[17]*x[cval+2]+v[23]*x[cval+3]+v[29]*x[cval+4]+v[35]*x[cval+5];
      v  += 36;
    }
    xb +=6; ai++;
  }

  ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr);
  if (yy != xx) ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr);
  if (zz != yy) ierr = VecRestoreArray(zz,&z);CHKERRQ(ierr);

  PLogFlops(72*(a->s_nz*2 - a->m));
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatMultAdd_SeqSBAIJ_7"
int MatMultAdd_SeqSBAIJ_7(Mat A,Vec xx,Vec yy,Vec zz)
{
  Mat_SeqSBAIJ     *a = (Mat_SeqSBAIJ*)A->data;
  Scalar          *x,*y,*z,*xb,x1,x2,x3,x4,x5,x6,x7;
  MatScalar       *v;
  int             mbs=a->mbs,i,*aj=a->j,*ai=a->i,n,ierr,*ib,cval,j;

  PetscFunctionBegin;
  ierr = VecGetArray(xx,&x);CHKERRQ(ierr);
  if (yy != xx) {
    ierr = VecGetArray(yy,&y);CHKERRQ(ierr);
  } else {
    y = x;
  }
  if (zz != yy) {
    ierr = VecCopy(yy,zz);CHKERRQ(ierr);
    ierr = VecGetArray(zz,&z);CHKERRQ(ierr);
  } else {
    z = y;
  }

  v     = a->a;
  xb = x;

  for (i=0; i<mbs; i++) {
    n  = ai[1] - ai[0]; /* length of i_th block row of A */
    x1 = xb[0]; x2 = xb[1]; x3 = xb[2]; x4 = xb[3]; x5=xb[4]; x6=xb[5]; x7=xb[6];
    ib = aj + *ai;
    /* (diag of A)*x */
    z[7*i]   += v[0]*x1 + v[7]*x2 + v[14]*x3 + v[21]*x4+ v[28]*x5 + v[35]*x6+ v[42]*x7;
    z[7*i+1] += v[7]*x1 + v[8]*x2 + v[15]*x3 + v[22]*x4+ v[29]*x5 + v[36]*x6+ v[43]*x7;
    z[7*i+2] += v[14]*x1+ v[15]*x2 +v[16]*x3 + v[23]*x4+ v[30]*x5 + v[37]*x6+ v[44]*x7;
    z[7*i+3] += v[21]*x1+ v[22]*x2 +v[23]*x3 + v[24]*x4+ v[31]*x5 + v[38]*x6+ v[45]*x7;
    z[7*i+4] += v[28]*x1+ v[29]*x2 +v[30]*x3 + v[31]*x4+ v[32]*x5 + v[39]*x6+ v[46]*x7;
    z[7*i+5] += v[35]*x1+ v[36]*x2 +v[37]*x3 + v[38]*x4+ v[39]*x5 + v[40]*x6+ v[47]*x7;
    z[7*i+6] += v[42]*x1+ v[43]*x2 +v[44]*x3 + v[45]*x4+ v[46]*x5 + v[47]*x6+ v[48]*x7;
    v += 49;
    for (j=1; j<n; j++) {
      /* (strict lower triangular part of A)*x  */
      cval       = ib[j]*7;
      z[cval]   += v[0]*x1  + v[1]*x2 + v[2]*x3 + v[3]*x4+ v[4]*x5 + v[5]*x6+ v[6]*x7;
      z[cval+1] += v[7]*x1  + v[8]*x2 + v[9]*x3 + v[10]*x4+ v[11]*x5 + v[12]*x6+ v[13]*x7;
      z[cval+2] += v[14]*x1  + v[15]*x2 + v[16]*x3 + v[17]*x4+ v[18]*x5 + v[19]*x6+ v[20]*x7;
      z[cval+3] += v[21]*x1  + v[22]*x2 + v[23]*x3 + v[24]*x4+ v[25]*x5 + v[26]*x6+ v[27]*x7;
      z[cval+4] += v[28]*x1  + v[29]*x2 + v[30]*x3 + v[31]*x4+ v[32]*x5 + v[33]*x6+ v[34]*x7;
      z[cval+5] += v[35]*x1  + v[36]*x2 + v[37]*x3 + v[38]*x4+ v[39]*x5 + v[40]*x6+ v[41]*x7;
      z[cval+6] += v[42]*x1  + v[43]*x2 + v[44]*x3 + v[45]*x4+ v[46]*x5 + v[47]*x6+ v[48]*x7;
      /* (strict upper triangular part of A)*x  */
      z[7*i]  +=v[0]*x[cval]+v[7]*x[cval+1]+v[14]*x[cval+2]+v[21]*x[cval+3]+v[28]*x[cval+4]+v[35]*x[cval+5]+v[42]*x[cval+6];
      z[7*i+1]+=v[1]*x[cval]+v[8]*x[cval+1]+v[15]*x[cval+2]+v[22]*x[cval+3]+v[29]*x[cval+4]+v[36]*x[cval+5]+v[43]*x[cval+6];
      z[7*i+2]+=v[2]*x[cval]+v[9]*x[cval+1]+v[16]*x[cval+2]+v[23]*x[cval+3]+v[30]*x[cval+4]+v[37]*x[cval+5]+v[44]*x[cval+6];
      z[7*i+3]+=v[3]*x[cval]+v[10]*x[cval+1]+v[17]*x[cval+2]+v[24]*x[cval+3]+v[31]*x[cval+4]+v[38]*x[cval+5]+v[45]*x[cval+6];
      z[7*i+4]+=v[4]*x[cval]+v[11]*x[cval+1]+v[18]*x[cval+2]+v[25]*x[cval+3]+v[32]*x[cval+4]+v[39]*x[cval+5]+v[46]*x[cval+6];
      z[7*i+5]+=v[5]*x[cval]+v[12]*x[cval+1]+v[19]*x[cval+2]+v[26]*x[cval+3]+v[33]*x[cval+4]+v[40]*x[cval+5]+v[47]*x[cval+6];
      z[7*i+6]+=v[6]*x[cval]+v[13]*x[cval+1]+v[20]*x[cval+2]+v[27]*x[cval+3]+v[34]*x[cval+4]+v[41]*x[cval+5]+v[48]*x[cval+6];
      v  += 49;
    }
    xb +=7; ai++;
  }

  ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr);
  if (yy != xx) ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr);
  if (zz != yy) ierr = VecRestoreArray(zz,&z);CHKERRQ(ierr);

  PLogFlops(98*(a->s_nz*2 - a->m));
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatMultAdd_SeqSBAIJ_N"
int MatMultAdd_SeqSBAIJ_N(Mat A,Vec xx,Vec yy,Vec zz)
{
  Mat_SeqSBAIJ     *a = (Mat_SeqSBAIJ*)A->data;
  Scalar          *x,*x_ptr,*y,*z,*z_ptr=0,*xb,*zb,*work,*workt;
  MatScalar       *v;
  int             ierr,mbs=a->mbs,i,*idx,*aj,*ii,bs=a->bs,j,n,bs2=a->bs2;
  int             ncols,k;

  PetscFunctionBegin;
  ierr = VecGetArray(xx,&x);CHKERRQ(ierr); x_ptr=x;
  if (yy != xx) {
    ierr = VecGetArray(yy,&y);CHKERRQ(ierr);
  } else {
    y = x;
  }
  if (zz != yy) {
    ierr = VecCopy(yy,zz);CHKERRQ(ierr);
    ierr = VecGetArray(zz,&z);CHKERRQ(ierr); z_ptr=z;
  } else {
    z = y;
  }

  aj   = a->j;
  v    = a->a;
  ii   = a->i;

  if (!a->mult_work) {
    k = a->m;
    a->mult_work = (Scalar*)PetscMalloc((k+1)*sizeof(Scalar));CHKPTRQ(a->mult_work);
  }
  work = a->mult_work;


  for (i=0; i<mbs; i++) {
    n     = ii[1] - ii[0]; ncols = n*bs;
    workt = work; idx=aj+ii[0];

    /* upper triangular part */
    for (j=0; j<n; j++) {
      /* col = bs*(*idx); */
      xb = x_ptr + bs*(*idx++);
      for (k=0; k<bs; k++) workt[k] = xb[k];
      workt += bs;
    }
    /* z(i*bs:(i+1)*bs-1) += A(i,:)*x */
    Kernel_w_gets_w_plus_Ar_times_v(bs,ncols,work,v,z);

    /* strict lower triangular part */
    ncols -= bs;
    if (ncols > 0){
      workt = work;
      ierr  = PetscMemzero(workt,ncols*sizeof(Scalar));CHKERRQ(ierr);
      Kernel_w_gets_w_plus_trans_Ar_times_v(bs,ncols,x,v+bs2,workt);

      idx=aj+ii[0]+1;
      for (j=1; j<n; j++) {
        zb = z_ptr + bs*(*idx);
        idx++;
        for (k=0; k<bs; k++) zb[k] += workt[k] ;
        workt += bs;
      }
    }

    x += bs; v += n*bs2; z += bs; ii++;
  }

  ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr);
  if (yy != xx) ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr);
  if (zz != yy) ierr = VecRestoreArray(zz,&z);CHKERRQ(ierr);

  PLogFlops(2*(a->s_nz*2 - a->m));
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatMultTranspose_SeqSBAIJ"
int MatMultTranspose_SeqSBAIJ(Mat A,Vec xx,Vec zz)
{
  Mat_SeqBAIJ     *a = (Mat_SeqBAIJ*)A->data;
  Scalar          *xg,*zg,*zb,zero = 0.0;
  Scalar          *x,*z,*xb,x1,x2,x3,x4,x5,x6,x7;
  MatScalar       *v;
  int             mbs=a->mbs,i,*idx,*ii,*ai=a->i,rval;
  int             bs=a->bs,j,n,bs2=a->bs2,*ib,ierr;

  PetscFunctionBegin;
  ierr = VecSet(&zero,zz);CHKERRQ(ierr);
  ierr = VecGetArray(xx,&xg);CHKERRQ(ierr); x = xg;
  ierr = VecGetArray(zz,&zg);CHKERRQ(ierr); z = zg;

  idx   = a->j;
  v     = a->a;
  ii    = a->i;
  xb    = x;
  switch (bs) {
  case 1:
    for (i=0; i<mbs; i++) {
      n  = ii[1] - ii[0]; ii++;
      x1 = xb[0];
      ib = idx + ai[i];
      for (j=0; j<n; j++) {
        rval    = ib[j];
        z[rval] += *v * x1;
        v++;
      }
      xb++;
    }
    break;
  case 2:
    for (i=0; i<mbs; i++) {
      n  = ii[1] - ii[0]; ii++;
      x1 = xb[0]; x2 = xb[1];
      ib = idx + ai[i];
      for (j=0; j<n; j++) {
        rval      = ib[j]*2;
        z[rval++] += v[0]*x1 + v[1]*x2;
        z[rval]   += v[2]*x1 + v[3]*x2;
        v  += 4;
      }
      xb += 2;
    }
    break;
  case 3:
    for (i=0; i<mbs; i++) {
      n  = ii[1] - ii[0]; ii++;
      x1 = xb[0]; x2 = xb[1]; x3 = xb[2];
      ib = idx + ai[i];
      for (j=0; j<n; j++) {
        rval      = ib[j]*3;
        z[rval++] += v[0]*x1 + v[1]*x2 + v[2]*x3;
        z[rval++] += v[3]*x1 + v[4]*x2 + v[5]*x3;
        z[rval]   += v[6]*x1 + v[7]*x2 + v[8]*x3;
        v  += 9;
      }
      xb += 3;
    }
    break;
  case 4:
    for (i=0; i<mbs; i++) {
      n  = ii[1] - ii[0]; ii++;
      x1 = xb[0]; x2 = xb[1]; x3 = xb[2]; x4 = xb[3];
      ib = idx + ai[i];
      for (j=0; j<n; j++) {
        rval      = ib[j]*4;
        z[rval++] +=  v[0]*x1 +  v[1]*x2 +  v[2]*x3 +  v[3]*x4;
        z[rval++] +=  v[4]*x1 +  v[5]*x2 +  v[6]*x3 +  v[7]*x4;
        z[rval++] +=  v[8]*x1 +  v[9]*x2 + v[10]*x3 + v[11]*x4;
        z[rval]   += v[12]*x1 + v[13]*x2 + v[14]*x3 + v[15]*x4;
        v  += 16;
      }
      xb += 4;
    }
    break;
  case 5:
    for (i=0; i<mbs; i++) {
      n  = ii[1] - ii[0]; ii++;
      x1 = xb[0]; x2 = xb[1]; x3 = xb[2];
      x4 = xb[3]; x5 = xb[4];
      ib = idx + ai[i];
      for (j=0; j<n; j++) {
        rval      = ib[j]*5;
        z[rval++] +=  v[0]*x1 +  v[1]*x2 +  v[2]*x3 +  v[3]*x4 +  v[4]*x5;
        z[rval++] +=  v[5]*x1 +  v[6]*x2 +  v[7]*x3 +  v[8]*x4 +  v[9]*x5;
        z[rval++] += v[10]*x1 + v[11]*x2 + v[12]*x3 + v[13]*x4 + v[14]*x5;
        z[rval++] += v[15]*x1 + v[16]*x2 + v[17]*x3 + v[18]*x4 + v[19]*x5;
        z[rval]   += v[20]*x1 + v[21]*x2 + v[22]*x3 + v[23]*x4 + v[24]*x5;
        v  += 25;
      }
      xb += 5;
    }
    break;
  case 6:
    for (i=0; i<mbs; i++) {
      n  = ii[1] - ii[0]; ii++;
      x1 = xb[0]; x2 = xb[1]; x3 = xb[2];
      x4 = xb[3]; x5 = xb[4]; x6 = xb[5];
      ib = idx + ai[i];
      for (j=0; j<n; j++) {
        rval      = ib[j]*6;
        z[rval++] +=  v[0]*x1 +  v[1]*x2 +  v[2]*x3 +  v[3]*x4 + v[4]*x5 + v[5]*x6;
        z[rval++] +=  v[6]*x1 +  v[7]*x2 +  v[8]*x3 +  v[9]*x4 + v[10]*x5 + v[11]*x6;
        z[rval++] += v[12]*x1 + v[13]*x2 + v[14]*x3 + v[15]*x4 + v[16]*x5 + v[17]*x6;
        z[rval++] += v[18]*x1 + v[19]*x2 + v[20]*x3 + v[21]*x4 + v[22]*x5 + v[23]*x6;
        z[rval++] += v[24]*x1 + v[25]*x2 + v[26]*x3 + v[27]*x4 + v[28]*x5 + v[29]*x6;
        z[rval]   += v[30]*x1 + v[31]*x2 + v[32]*x3 + v[33]*x4 + v[34]*x5 + v[35]*x6;
        v  += 36;
      }
      xb += 6;
    }
    break;
  case 7:
    for (i=0; i<mbs; i++) {
      n  = ii[1] - ii[0]; ii++;
      x1 = xb[0]; x2 = xb[1]; x3 = xb[2];
      x4 = xb[3]; x5 = xb[4]; x6 = xb[5]; x7 = xb[6];
      ib = idx + ai[i];
      for (j=0; j<n; j++) {
        rval      = ib[j]*7;
        z[rval++] +=  v[0]*x1 +  v[1]*x2 +  v[2]*x3 +  v[3]*x4 + v[4]*x5 + v[5]*x6 + v[6]*x7;
        z[rval++] +=  v[7]*x1 +  v[8]*x2 +  v[9]*x3 + v[10]*x4 + v[11]*x5 + v[12]*x6 + v[13]*x7;
        z[rval++] += v[14]*x1 + v[15]*x2 + v[16]*x3 + v[17]*x4 + v[18]*x5 + v[19]*x6 + v[20]*x7;
        z[rval++] += v[21]*x1 + v[22]*x2 + v[23]*x3 + v[24]*x4 + v[25]*x5 + v[26]*x6 + v[27]*x7;
        z[rval++] += v[28]*x1 + v[29]*x2 + v[30]*x3 + v[31]*x4 + v[32]*x5 + v[33]*x6 + v[34]*x7;
        z[rval++] += v[35]*x1 + v[36]*x2 + v[37]*x3 + v[38]*x4 + v[39]*x5 + v[40]*x6 + v[41]*x7;
        z[rval]   += v[42]*x1 + v[43]*x2 + v[44]*x3 + v[45]*x4 + v[46]*x5 + v[47]*x6 + v[48]*x7;
        v  += 49;
      }
      xb += 7;
    }
    break;
  default: {       /* block sizes larger then 7 by 7 are handled by BLAS */
      int       ncols,k;
      Scalar    *work,*workt;

      if (!a->mult_work) {
        k = PetscMax(a->m,a->n);
        a->mult_work = (Scalar*)PetscMalloc((k+1)*sizeof(Scalar));CHKPTRQ(a->mult_work);
      }
      work = a->mult_work;
      for (i=0; i<mbs; i++) {
        n     = ii[1] - ii[0]; ii++;
        ncols = n*bs;
        ierr  = PetscMemzero(work,ncols*sizeof(Scalar));CHKERRQ(ierr);
        Kernel_w_gets_w_plus_trans_Ar_times_v(bs,ncols,x,v,work);
        /* LAgemv_("T",&bs,&ncols,&_DOne,v,&bs,x,&_One,&_DOne,work,&_One); */
        v += n*bs2;
        x += bs;
        workt = work;
        for (j=0; j<n; j++) {
          zb = z + bs*(*idx++);
          for (k=0; k<bs; k++) zb[k] += workt[k] ;
          workt += bs;
        }
      }
    }
  }
  ierr = VecRestoreArray(xx,&xg);CHKERRQ(ierr);
  ierr = VecRestoreArray(zz,&zg);CHKERRQ(ierr);
  PLogFlops(2*a->nz*a->bs2 - a->n);
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatMultTransposeAdd_SeqSBAIJ"
int MatMultTransposeAdd_SeqSBAIJ(Mat A,Vec xx,Vec yy,Vec zz)

{
  Mat_SeqBAIJ     *a = (Mat_SeqBAIJ*)A->data;
  Scalar          *xg,*zg,*zb,*x,*z,*xb,x1,x2,x3,x4,x5;
  MatScalar       *v;
  int             mbs=a->mbs,i,*idx,*ii,*ai=a->i,rval,bs=a->bs,j,n,bs2=a->bs2,*ib,ierr;

  PetscFunctionBegin;
  ierr = VecGetArray(xx,&xg);CHKERRQ(ierr); x = xg;
  ierr = VecGetArray(zz,&zg);CHKERRQ(ierr); z = zg;

  if (yy != zz) { ierr = VecCopy(yy,zz);CHKERRQ(ierr); }

  idx   = a->j;
  v     = a->a;
  ii    = a->i;
  xb    = x;

  switch (bs) {
  case 1:
    for (i=0; i<mbs; i++) {
      n  = ii[1] - ii[0]; ii++;
      x1 = xb[0];
      ib = idx + ai[i];
      for (j=0; j<n; j++) {
        rval    = ib[j];
        z[rval] += *v * x1;
        v++;
      }
      xb++;
    }
    break;
  case 2:
    for (i=0; i<mbs; i++) {
      n  = ii[1] - ii[0]; ii++;
      x1 = xb[0]; x2 = xb[1];
      ib = idx + ai[i];
      for (j=0; j<n; j++) {
        rval      = ib[j]*2;
        z[rval++] += v[0]*x1 + v[1]*x2;
        z[rval++] += v[2]*x1 + v[3]*x2;
        v  += 4;
      }
      xb += 2;
    }
    break;
  case 3:
    for (i=0; i<mbs; i++) {
      n  = ii[1] - ii[0]; ii++;
      x1 = xb[0]; x2 = xb[1]; x3 = xb[2];
      ib = idx + ai[i];
      for (j=0; j<n; j++) {
        rval      = ib[j]*3;
        z[rval++] += v[0]*x1 + v[1]*x2 + v[2]*x3;
        z[rval++] += v[3]*x1 + v[4]*x2 + v[5]*x3;
        z[rval++] += v[6]*x1 + v[7]*x2 + v[8]*x3;
        v  += 9;
      }
      xb += 3;
    }
    break;
  case 4:
    for (i=0; i<mbs; i++) {
      n  = ii[1] - ii[0]; ii++;
      x1 = xb[0]; x2 = xb[1]; x3 = xb[2]; x4 = xb[3];
      ib = idx + ai[i];
      for (j=0; j<n; j++) {
        rval      = ib[j]*4;
        z[rval++] +=  v[0]*x1 +  v[1]*x2 +  v[2]*x3 +  v[3]*x4;
        z[rval++] +=  v[4]*x1 +  v[5]*x2 +  v[6]*x3 +  v[7]*x4;
        z[rval++] +=  v[8]*x1 +  v[9]*x2 + v[10]*x3 + v[11]*x4;
        z[rval++] += v[12]*x1 + v[13]*x2 + v[14]*x3 + v[15]*x4;
        v  += 16;
      }
      xb += 4;
    }
    break;
  case 5:
    for (i=0; i<mbs; i++) {
      n  = ii[1] - ii[0]; ii++;
      x1 = xb[0]; x2 = xb[1]; x3 = xb[2];
      x4 = xb[3]; x5 = xb[4];
      ib = idx + ai[i];
      for (j=0; j<n; j++) {
        rval      = ib[j]*5;
        z[rval++] +=  v[0]*x1 +  v[1]*x2 +  v[2]*x3 +  v[3]*x4 +  v[4]*x5;
        z[rval++] +=  v[5]*x1 +  v[6]*x2 +  v[7]*x3 +  v[8]*x4 +  v[9]*x5;
        z[rval++] += v[10]*x1 + v[11]*x2 + v[12]*x3 + v[13]*x4 + v[14]*x5;
        z[rval++] += v[15]*x1 + v[16]*x2 + v[17]*x3 + v[18]*x4 + v[19]*x5;
        z[rval++] += v[20]*x1 + v[21]*x2 + v[22]*x3 + v[23]*x4 + v[24]*x5;
        v  += 25;
      }
      xb += 5;
    }
    break;
  default: {      /* block sizes larger then 5 by 5 are handled by BLAS */
      int       ncols,k;
      Scalar    *work,*workt;

      if (!a->mult_work) {
        k = PetscMax(a->m,a->n);
        a->mult_work = (Scalar*)PetscMalloc((k+1)*sizeof(Scalar));CHKPTRQ(a->mult_work);
      }
      work = a->mult_work;
      for (i=0; i<mbs; i++) {
        n     = ii[1] - ii[0]; ii++;
        ncols = n*bs;
        ierr  = PetscMemzero(work,ncols*sizeof(Scalar));CHKERRQ(ierr);
        Kernel_w_gets_w_plus_trans_Ar_times_v(bs,ncols,x,v,work);
        /* LAgemv_("T",&bs,&ncols,&_DOne,v,&bs,x,&_One,&_DOne,work,&_One); */
        v += n*bs2;
        x += bs;
        workt = work;
        for (j=0; j<n; j++) {
          zb = z + bs*(*idx++);
          for (k=0; k<bs; k++) zb[k] += workt[k] ;
          workt += bs;
        }
      }
    }
  }
  ierr = VecRestoreArray(xx,&xg);CHKERRQ(ierr);
  ierr = VecRestoreArray(zz,&zg);CHKERRQ(ierr);
  PLogFlops(2*a->nz*a->bs2);
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatScale_SeqSBAIJ"
int MatScale_SeqSBAIJ(Scalar *alpha,Mat inA)
{
  Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)inA->data;
  int         one = 1,totalnz = a->bs2*a->s_nz;

  PetscFunctionBegin;
  BLscal_(&totalnz,alpha,a->a,&one);
  PLogFlops(totalnz);
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatNorm_SeqSBAIJ"
int MatNorm_SeqSBAIJ(Mat A,NormType type,PetscReal *norm)
{
  Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data;
  MatScalar   *v = a->a;
  PetscReal   sum_diag = 0.0, sum_off = 0.0, *sum;
  int         i,j,k,bs = a->bs,bs2=a->bs2,k1,mbs=a->mbs;
  int         *jl,*il,jmin,jmax,ierr,nexti,ik;

  PetscFunctionBegin;
  if (type == NORM_FROBENIUS) {
    for (k=0; k<mbs; k++){
      jmin = a->i[k]; jmax = a->i[k+1];
      /* diagonal block */
      for (i=0; i<bs2; i++){
#if defined(PETSC_USE_COMPLEX)
        sum_diag += PetscRealPart(PetscConj(*v)*(*v)); v++;
#else
        sum_diag += (*v)*(*v); v++;
#endif
      }
      for (j=jmin+1; j<jmax; j++){  /* off-diagonal blocks */
        for (i=0; i<bs2; i++){
#if defined(PETSC_USE_COMPLEX)
          sum_off += PetscRealPart(PetscConj(*v)*(*v)); v++;
#else
          sum_off += (*v)*(*v); v++;
#endif
        }
      }
    }
    *norm = sqrt(sum_diag + 2*sum_off);

  }  else if (type == NORM_INFINITY) { /* maximum row sum */
    il = (int*)PetscMalloc(mbs*sizeof(int));CHKPTRQ(il);
    jl = (int*)PetscMalloc(mbs*sizeof(int));CHKPTRQ(jl);
    sum = (PetscReal*)PetscMalloc(bs*sizeof(PetscReal));CHKPTRQ(sum);
    for (i=0; i<mbs; i++) {
      jl[i] = mbs; il[0] = 0;
    }

    *norm = 0.0;
    for (k=0; k<mbs; k++) { /* k_th block row */
      for (j=0; j<bs; j++) sum[j]=0.0;

      /*-- col sum --*/
      i = jl[k]; /* first |A(i,k)| to be added */
      while (i<mbs){
        nexti = jl[i];  /* next block row to be added */
        ik    = il[i];  /* block index of A(i,k) in the array a */
        for (j=0; j<bs; j++){
          v = a->a + ik*bs2 + j*bs;
          for (k1=0; k1<bs; k1++) {
            sum[j] += PetscAbsScalar(*v); v++;
          }
        }
        /* update il, jl */
        jmin = ik + 1; jmax = a->i[i+1];
        if (jmin < jmax){
          il[i] = jmin;
          j   = a->j[jmin];
          jl[i] = jl[j]; jl[j]=i;
        }
        i = nexti;
      }

      /*-- row sum --*/
      jmin = a->i[k]; jmax = a->i[k+1];
      for (i=jmin; i<jmax; i++) {
        for (j=0; j<bs; j++){
          v = a->a + i*bs2 + j;
          for (k1=0; k1<bs; k1++){
            sum[j] += PetscAbsScalar(*v);
            v   += bs;
          }
        }
      }
      /* add k_th block row to il, jl */
      jmin++;
      if (jmin < jmax){
        il[k] = jmin;
        j   = a->j[jmin];
        jl[k] = jl[j]; jl[j] = k;
      }
      for (j=0; j<bs; j++){
        if (sum[j] > *norm) *norm = sum[j];
      }
    }
    ierr = PetscFree(il);CHKERRQ(ierr);
    ierr = PetscFree(jl);CHKERRQ(ierr);
    ierr = PetscFree(sum);CHKERRQ(ierr);
  } else {
    SETERRQ(PETSC_ERR_SUP,0,"No support for this norm yet");
  }
  PetscFunctionReturn(0);
}

#ifdef MatNorm_SeqBAIJ
/* This is modified MatNorm_SeqBAIJ.
   MatNorm_SeqBAIJ in baij/seq/baij2.c is not correct for bs>1 */

#undef __FUNC__
#define __FUNC__ "MatNorm_SeqBAIJ"
int MatNorm_SeqBAIJ(Mat A,NormType type,PetscReal *norm)
{
  Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data;
  MatScalar   *v = a->a;
  PetscReal   sum = 0.0;
  int         i,j,k,bs = a->bs,nz=a->nz,bs2=a->bs2,k1;

  PetscFunctionBegin;
  if (type == NORM_FROBENIUS) {
    for (i=0; i< bs2*nz; i++) {
#if defined(PETSC_USE_COMPLEX)
      sum += PetscRealPart(PetscConj(*v)*(*v)); v++;
#else
      sum += (*v)*(*v); v++;
#endif
    }
    *norm = sqrt(sum);
  }  else if (type == NORM_INFINITY) { /* maximum row sum */
    *norm = 0.0;
    for (j=0; j<a->mbs; j++) {
      for (k=0; k<bs; k++) {
        v = a->a + bs2*a->i[j] + k;
        sum = 0.0;
        for (i=0; i<a->i[j+1]-a->i[j]; i++) {
          for (k1=0; k1<bs; k1++){   /* this loop was missing in the original code*/
            sum += PetscAbsScalar(*v);
            v   += bs;
          }
        }
        if (sum > *norm) *norm = sum;
      }
    }
  } else {
    SETERRQ(PETSC_ERR_SUP,0,"No support for this norm yet");
  }
  PetscFunctionReturn(0);
}
#endif

#undef __FUNC__
#define __FUNC__ "MatEqual_SeqSBAIJ"
int MatEqual_SeqSBAIJ(Mat A,Mat B,PetscTruth* flg)
{
  Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data,*b = (Mat_SeqSBAIJ *)B->data;
  int         ierr;

  PetscFunctionBegin;
  if (B->type !=MATSEQSBAIJ) SETERRQ(PETSC_ERR_ARG_INCOMP,0,"Matrices must be same type");

  /* If the  matrix/block dimensions are not equal, or no of nonzeros or shift */
  if ((a->m != b->m) || (a->n !=b->n) || (a->bs != b->bs)|| (a->s_nz != b->s_nz)) {
    *flg = PETSC_FALSE; PetscFunctionReturn(0);
  }

  /* if the a->i are the same */
  ierr = PetscMemcmp(a->i,b->i,(a->mbs+1)*sizeof(int),flg);CHKERRQ(ierr);
  if (*flg == PETSC_FALSE) {
    PetscFunctionReturn(0);
  }

  /* if a->j are the same */
  ierr = PetscMemcmp(a->j,b->j,(a->s_nz)*sizeof(int),flg);CHKERRQ(ierr);
  if (*flg == PETSC_FALSE) {
    PetscFunctionReturn(0);
  }
  /* if a->a are the same */
  ierr = PetscMemcmp(a->a,b->a,(a->s_nz)*(a->bs)*(a->bs)*sizeof(Scalar),flg);CHKERRQ(ierr);
  PetscFunctionReturn(0);

}

#undef __FUNC__
#define __FUNC__ "MatGetDiagonal_SeqSBAIJ"
int MatGetDiagonal_SeqSBAIJ(Mat A,Vec v)
{
  Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data;
  int         ierr,i,j,k,n,row,bs,*ai,*aj,ambs,bs2;
  Scalar      *x,zero = 0.0;
  MatScalar   *aa,*aa_j;

  PetscFunctionBegin;
  if (A->factor) SETERRQ(PETSC_ERR_ARG_WRONGSTATE,0,"Not for factored matrix");
  bs   = a->bs;
  aa   = a->a;
  ai   = a->i;
  aj   = a->j;
  ambs = a->mbs;
  bs2  = a->bs2;

  ierr = VecSet(&zero,v);CHKERRQ(ierr);
  ierr = VecGetArray(v,&x);CHKERRQ(ierr);
  ierr = VecGetLocalSize(v,&n);CHKERRQ(ierr);
  /* if (n != a->m) SETERRQ(PETSC_ERR_ARG_SIZ,0,"Nonconforming matrix and vector");*/
  for (i=0; i<ambs; i++) {
    j=ai[i];
    if (aj[j] == i) {             /* if this is a diagonal element */
      row  = i*bs;
      aa_j = aa + j*bs2;
      for (k=0; k<bs2; k+=(bs+1),row++) x[row] = aa_j[k];
    }
  }
  ierr = VecRestoreArray(v,&x);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatDiagonalScale_SeqSBAIJ"
int MatDiagonalScale_SeqSBAIJ(Mat A,Vec ll,Vec rr)
{
  Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data;
  Scalar      *l,*r,x,*li,*ri;
  MatScalar   *aa,*v;
  int         ierr,i,j,k,lm,rn,M,m,*ai,*aj,mbs,tmp,bs,bs2;

  PetscFunctionBegin;
  ai  = a->i;
  aj  = a->j;
  aa  = a->a;
  m   = a->m;
  bs  = a->bs;
  mbs = a->mbs;
  bs2 = a->bs2;

  if (ll != rr) {
    SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,0,"For symmetric format, left and right scaling vectors must be same\n");
  }
  if (ll) {
    ierr = VecGetArray(ll,&l);CHKERRQ(ierr);
    ierr = VecGetLocalSize(ll,&lm);CHKERRQ(ierr);
    if (lm != m) SETERRQ(PETSC_ERR_ARG_SIZ,0,"Left scaling vector wrong length");
    for (i=0; i<mbs; i++) { /* for each block row */
      M  = ai[i+1] - ai[i];
      li = l + i*bs;
      v  = aa + bs2*ai[i];
      for (j=0; j<M; j++) { /* for each block */
        for (k=0; k<bs2; k++) {
          (*v++) *= li[k%bs];
        }
#ifdef CONT
        /* will be used to replace the above loop */
        ri = l + bs*aj[ai[i]+j];
        for (k=0; k<bs; k++) { /* column value */
          x = ri[k];
          for (tmp=0; tmp<bs; tmp++) (*v++) *= li[tmp]*x;
        }
#endif

      }
    }
    ierr = VecRestoreArray(ll,&l);CHKERRQ(ierr);
    PLogFlops(2*a->s_nz);
  }
  /* will be deleted */
  if (rr) {
    ierr = VecGetArray(rr,&r);CHKERRQ(ierr);
    ierr = VecGetLocalSize(rr,&rn);CHKERRQ(ierr);
    if (rn != m) SETERRQ(PETSC_ERR_ARG_SIZ,0,"Right scaling vector wrong length");
    for (i=0; i<mbs; i++) { /* for each block row */
      M  = ai[i+1] - ai[i];
      v  = aa + bs2*ai[i];
      for (j=0; j<M; j++) { /* for each block */
        ri = r + bs*aj[ai[i]+j];
        for (k=0; k<bs; k++) {
          x = ri[k];
          for (tmp=0; tmp<bs; tmp++) (*v++) *= x;
        }
      }
    }
    ierr = VecRestoreArray(rr,&r);CHKERRQ(ierr);
    PLogFlops(a->s_nz);
  }
  PetscFunctionReturn(0);
}

#undef __FUNC__
#define __FUNC__ "MatGetInfo_SeqSBAIJ"
int MatGetInfo_SeqSBAIJ(Mat A,MatInfoType flag,MatInfo *info)
{
  Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data;

  PetscFunctionBegin;
  info->rows_global    = (double)a->m;
  info->columns_global = (double)a->m;
  info->rows_local     = (double)a->m;
  info->columns_local  = (double)a->m;
  info->block_size     = a->bs2;
  info->nz_allocated   = a->s_maxnz; /*num. of nonzeros in upper triangular part */
  info->nz_used        = a->bs2*a->s_nz; /*num. of nonzeros in upper triangular part */
  info->nz_unneeded    = (double)(info->nz_allocated - info->nz_used);
  info->assemblies   = A->num_ass;
  info->mallocs      = a->reallocs;
  info->memory       = A->mem;
  if (A->factor) {
    info->fill_ratio_given  = A->info.fill_ratio_given;
    info->fill_ratio_needed = A->info.fill_ratio_needed;
    info->factor_mallocs    = A->info.factor_mallocs;
  } else {
    info->fill_ratio_given  = 0;
    info->fill_ratio_needed = 0;
    info->factor_mallocs    = 0;
  }
  PetscFunctionReturn(0);
}


#undef __FUNC__
#define __FUNC__ "MatZeroEntries_SeqSBAIJ"
int MatZeroEntries_SeqSBAIJ(Mat A)
{
  Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data;
  int         ierr;

  PetscFunctionBegin;
  ierr = PetscMemzero(a->a,a->bs2*a->i[a->mbs]*sizeof(MatScalar));CHKERRQ(ierr);
  PetscFunctionReturn(0);
}