#ifdef PETSC_RCS_HEADER static char vcid[] = "$Id: baijfact.c,v 1.64 1998/07/14 14:49:24 bsmith Exp bsmith $"; #endif /* Factorization code for BAIJ format. */ #include "src/mat/impls/baij/seq/baij.h" #include "src/vec/vecimpl.h" #include "src/inline/ilu.h" /* The symbolic factorization code is identical to that for AIJ format, except for very small changes since this is now a SeqBAIJ datastructure. NOT good code reuse. */ #undef __FUNC__ #define __FUNC__ "MatLUFactorSymbolic_SeqBAIJ" int MatLUFactorSymbolic_SeqBAIJ(Mat A,IS isrow,IS iscol,double f,Mat *B) { Mat_SeqBAIJ *a = (Mat_SeqBAIJ *) A->data, *b; IS isicol; int *r,*ic, ierr, i, n = a->mbs, *ai = a->i, *aj = a->j; int *ainew,*ajnew, jmax,*fill, *ajtmp, nz, bs = a->bs, bs2=a->bs2; int *idnew, idx, row,m,fm, nnz, nzi,realloc = 0,nzbd,*im; PetscFunctionBegin; PetscValidHeaderSpecific(isrow,IS_COOKIE); PetscValidHeaderSpecific(iscol,IS_COOKIE); ierr = ISInvertPermutation(iscol,&isicol); CHKERRQ(ierr); ISGetIndices(isrow,&r); ISGetIndices(isicol,&ic); /* get new row pointers */ ainew = (int *) PetscMalloc( (n+1)*sizeof(int) ); CHKPTRQ(ainew); ainew[0] = 0; /* don't know how many column pointers are needed so estimate */ jmax = (int) (f*ai[n] + 1); ajnew = (int *) PetscMalloc( (jmax)*sizeof(int) ); CHKPTRQ(ajnew); /* fill is a linked list of nonzeros in active row */ fill = (int *) PetscMalloc( (2*n+1)*sizeof(int)); CHKPTRQ(fill); im = fill + n + 1; /* idnew is location of diagonal in factor */ idnew = (int *) PetscMalloc( (n+1)*sizeof(int)); CHKPTRQ(idnew); idnew[0] = 0; for ( i=0; i 0) { idx = *ajtmp++; nzbd++; if (idx == i) im[row] = nzbd; do { m = fm; fm = fill[m]; } while (fm < idx); if (fm != idx) { fill[m] = idx; fill[idx] = fm; fm = idx; nnz++; } } row = fill[row]; } /* copy new filled row into permanent storage */ ainew[i+1] = ainew[i] + nnz; if (ainew[i+1] > jmax) { /* estimate how much additional space we will need */ /* use the strategy suggested by David Hysom */ /* just double the memory each time */ int maxadd = jmax; /* maxadd = (int) ((f*(ai[n]+1)*(n-i+5))/n); */ if (maxadd < nnz) maxadd = (n-i)*(nnz+1); jmax += maxadd; /* allocate a longer ajnew */ ajtmp = (int *) PetscMalloc( jmax*sizeof(int) );CHKPTRQ(ajtmp); PetscMemcpy(ajtmp,ajnew,ainew[i]*sizeof(int)); PetscFree(ajnew); ajnew = ajtmp; realloc++; /* count how many times we realloc */ } ajtmp = ajnew + ainew[i]; fm = fill[n]; nzi = 0; im[i] = nnz; while (nnz--) { if (fm < i) nzi++; *ajtmp++ = fm; fm = fill[fm]; } idnew[i] = ainew[i] + nzi; } if (ai[n] != 0) { double af = ((double)ainew[n])/((double)ai[n]); PLogInfo(A,"MatLUFactorSymbolic_SeqBAIJ:Reallocs %d Fill ratio:given %g needed %g\n", realloc,f,af); PLogInfo(A,"MatLUFactorSymbolic_SeqBAIJ:Run with -pc_lu_fill %g or use \n",af); PLogInfo(A,"MatLUFactorSymbolic_SeqBAIJ:PCLUSetFill(pc,%g);\n",af); PLogInfo(A,"MatLUFactorSymbolic_SeqBAIJ:for best performance.\n"); } else { PLogInfo(A,"MatLUFactorSymbolic_SeqBAIJ:Empty matrix.\n"); } ierr = ISRestoreIndices(isrow,&r); CHKERRQ(ierr); ierr = ISRestoreIndices(isicol,&ic); CHKERRQ(ierr); PetscFree(fill); /* put together the new matrix */ ierr = MatCreateSeqBAIJ(A->comm,bs,bs*n,bs*n,0,PETSC_NULL,B); CHKERRQ(ierr); PLogObjectParent(*B,isicol); b = (Mat_SeqBAIJ *) (*B)->data; PetscFree(b->imax); b->singlemalloc = 0; /* the next line frees the default space generated by the Create() */ PetscFree(b->a); PetscFree(b->ilen); b->a = (Scalar *) PetscMalloc((ainew[n]+1)*sizeof(Scalar)*bs2);CHKPTRQ(b->a); b->j = ajnew; b->i = ainew; b->diag = idnew; b->ilen = 0; b->imax = 0; b->row = isrow; b->col = iscol; b->icol = isicol; b->solve_work = (Scalar *) PetscMalloc( (bs*n+bs)*sizeof(Scalar));CHKPTRQ(b->solve_work); /* In b structure: Free imax, ilen, old a, old j. Allocate idnew, solve_work, new a, new j */ PLogObjectMemory(*B,(ainew[n]-n)*(sizeof(int)+sizeof(Scalar))); b->maxnz = b->nz = ainew[n]; (*B)->factor = FACTOR_LU; (*B)->info.factor_mallocs = realloc; (*B)->info.fill_ratio_given = f; if (ai[n] != 0) { (*B)->info.fill_ratio_needed = ((double)ainew[n])/((double)ai[n]); } else { (*B)->info.fill_ratio_needed = 0.0; } PetscFunctionReturn(0); } /* ----------------------------------------------------------- */ #undef __FUNC__ #define __FUNC__ "MatLUFactorNumeric_SeqBAIJ_N" int MatLUFactorNumeric_SeqBAIJ_N(Mat A,Mat *B) { Mat C = *B; Mat_SeqBAIJ *a = (Mat_SeqBAIJ *) A->data,*b = (Mat_SeqBAIJ *)C->data; IS isrow = b->row, isicol = b->icol; int *r,*ic, ierr, i, j, n = a->mbs, *bi = b->i, *bj = b->j; int *ajtmpold, *ajtmp, nz, row, bslog,*ai=a->i,*aj=a->j,k,flg; int *diag_offset=b->diag,diag,bs=a->bs,bs2 = a->bs2,*v_pivots; register int *pj; register Scalar *pv,*v,*rtmp,*multiplier,*v_work,*pc,*w; Scalar *ba = b->a,*aa = a->a; PetscFunctionBegin; ierr = ISGetIndices(isrow,&r); CHKERRQ(ierr); ierr = ISGetIndices(isicol,&ic); CHKERRQ(ierr); rtmp = (Scalar *) PetscMalloc(bs2*(n+1)*sizeof(Scalar));CHKPTRQ(rtmp); PetscMemzero(rtmp,bs2*(n+1)*sizeof(Scalar)); /* generate work space needed by dense LU factorization */ v_work = (Scalar *) PetscMalloc(bs*sizeof(int) + (bs+bs2)*sizeof(Scalar)); CHKPTRQ(v_work); multiplier = v_work + bs; v_pivots = (int *) (multiplier + bs2); /* flops in while loop */ bslog = 2*bs*bs2; for ( i=0; ia */ pv = ba + bs2*bi[i]; pj = bj + bi[i]; nz = bi[i+1] - bi[i]; for ( j=0; jfactor = FACTOR_LU; C->assembled = PETSC_TRUE; PLogFlops(1.3333*bs*bs2*b->mbs); /* from inverting diagonal blocks */ PetscFunctionReturn(0); } /* ------------------------------------------------------------*/ /* Version for when blocks are 5 by 5 */ #undef __FUNC__ #define __FUNC__ "MatLUFactorNumeric_SeqBAIJ_5" int MatLUFactorNumeric_SeqBAIJ_5(Mat A,Mat *B) { Mat C = *B; Mat_SeqBAIJ *a = (Mat_SeqBAIJ *) A->data,*b = (Mat_SeqBAIJ *)C->data; IS isrow = b->row, isicol = b->icol; int *r,*ic, ierr, i, j, n = a->mbs, *bi = b->i, *bj = b->j; int *ajtmpold, *ajtmp, nz, row; int *diag_offset = b->diag,idx,*ai=a->i,*aj=a->j; register int *pj; register Scalar *pv,*v,*rtmp,*pc,*w,*x; Scalar p1,p2,p3,p4,m1,m2,m3,m4,m5,m6,m7,m8,m9,x1,x2,x3,x4; Scalar p5,p6,p7,p8,p9,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15,x16; Scalar x17,x18,x19,x20,x21,x22,x23,x24,x25,p10,p11,p12,p13,p14; Scalar p15,p16,p17,p18,p19,p20,p21,p22,p23,p24,p25,m10,m11,m12; Scalar m13,m14,m15,m16,m17,m18,m19,m20,m21,m22,m23,m24,m25; Scalar *ba = b->a,*aa = a->a; PetscFunctionBegin; ierr = ISGetIndices(isrow,&r); CHKERRQ(ierr); ierr = ISGetIndices(isicol,&ic); CHKERRQ(ierr); rtmp = (Scalar *) PetscMalloc(25*(n+1)*sizeof(Scalar));CHKPTRQ(rtmp); for ( i=0; ia */ pv = ba + 25*bi[i]; pj = bj + bi[i]; nz = bi[i+1] - bi[i]; for ( j=0; jfactor = FACTOR_LU; C->assembled = PETSC_TRUE; PLogFlops(1.3333*125*b->mbs); /* from inverting diagonal blocks */ PetscFunctionReturn(0); } /* ------------------------------------------------------------*/ /* Version for when blocks are 4 by 4 */ #undef __FUNC__ #define __FUNC__ "MatLUFactorNumeric_SeqBAIJ_4" int MatLUFactorNumeric_SeqBAIJ_4(Mat A,Mat *B) { Mat C = *B; Mat_SeqBAIJ *a = (Mat_SeqBAIJ *) A->data,*b = (Mat_SeqBAIJ *)C->data; IS isrow = b->row, isicol = b->icol; int *r,*ic, ierr, i, j, n = a->mbs, *bi = b->i, *bj = b->j; int *ajtmpold, *ajtmp, nz, row; int *diag_offset = b->diag,idx,*ai=a->i,*aj=a->j; register int *pj; register Scalar *pv,*v,*rtmp,*pc,*w,*x; Scalar p1,p2,p3,p4,m1,m2,m3,m4,m5,m6,m7,m8,m9,x1,x2,x3,x4; Scalar p5,p6,p7,p8,p9,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15,x16; Scalar p10,p11,p12,p13,p14,p15,p16,m10,m11,m12; Scalar m13,m14,m15,m16; Scalar *ba = b->a,*aa = a->a; PetscFunctionBegin; ierr = ISGetIndices(isrow,&r); CHKERRQ(ierr); ierr = ISGetIndices(isicol,&ic); CHKERRQ(ierr); rtmp = (Scalar *) PetscMalloc(16*(n+1)*sizeof(Scalar));CHKPTRQ(rtmp); for ( i=0; ia */ pv = ba + 16*bi[i]; pj = bj + bi[i]; nz = bi[i+1] - bi[i]; for ( j=0; jfactor = FACTOR_LU; C->assembled = PETSC_TRUE; PLogFlops(1.3333*64*b->mbs); /* from inverting diagonal blocks */ PetscFunctionReturn(0); } /* Version for when blocks are 4 by 4 Using natural ordering */ #undef __FUNC__ #define __FUNC__ "MatLUFactorNumeric_SeqBAIJ_4_NaturalOrdering" int MatLUFactorNumeric_SeqBAIJ_4_NaturalOrdering(Mat A,Mat *B) { Mat C = *B; Mat_SeqBAIJ *a = (Mat_SeqBAIJ *) A->data,*b = (Mat_SeqBAIJ *)C->data; int ierr, i, j, n = a->mbs, *bi = b->i, *bj = b->j; int *ajtmpold, *ajtmp, nz, row; int *diag_offset = b->diag,*ai=a->i,*aj=a->j; register int *pj; register Scalar *pv,*v,*rtmp,*pc,*w,*x; Scalar p1,p2,p3,p4,m1,m2,m3,m4,m5,m6,m7,m8,m9,x1,x2,x3,x4; Scalar p5,p6,p7,p8,p9,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15,x16; Scalar p10,p11,p12,p13,p14,p15,p16,m10,m11,m12; Scalar m13,m14,m15,m16; Scalar *ba = b->a,*aa = a->a; PetscFunctionBegin; rtmp = (Scalar *) PetscMalloc(16*(n+1)*sizeof(Scalar));CHKPTRQ(rtmp); for ( i=0; ia */ pv = ba + 16*bi[i]; pj = bj + bi[i]; nz = bi[i+1] - bi[i]; for ( j=0; jfactor = FACTOR_LU; C->assembled = PETSC_TRUE; PLogFlops(1.3333*64*b->mbs); /* from inverting diagonal blocks */ PetscFunctionReturn(0); } /* ------------------------------------------------------------*/ /* Version for when blocks are 3 by 3 */ #undef __FUNC__ #define __FUNC__ "MatLUFactorNumeric_SeqBAIJ_3" int MatLUFactorNumeric_SeqBAIJ_3(Mat A,Mat *B) { Mat C = *B; Mat_SeqBAIJ *a = (Mat_SeqBAIJ *) A->data,*b = (Mat_SeqBAIJ *)C->data; IS isrow = b->row, isicol = b->icol; int *r,*ic, ierr, i, j, n = a->mbs, *bi = b->i, *bj = b->j; int *ajtmpold, *ajtmp, nz, row, *ai=a->i,*aj=a->j; int *diag_offset = b->diag,idx; register int *pj; register Scalar *pv,*v,*rtmp,*pc,*w,*x; Scalar p1,p2,p3,p4,m1,m2,m3,m4,m5,m6,m7,m8,m9,x1,x2,x3,x4; Scalar p5,p6,p7,p8,p9,x5,x6,x7,x8,x9; Scalar *ba = b->a,*aa = a->a; PetscFunctionBegin; ierr = ISGetIndices(isrow,&r); CHKERRQ(ierr); ierr = ISGetIndices(isicol,&ic); CHKERRQ(ierr); rtmp = (Scalar *) PetscMalloc(9*(n+1)*sizeof(Scalar));CHKPTRQ(rtmp); for ( i=0; ia */ pv = ba + 9*bi[i]; pj = bj + bi[i]; nz = bi[i+1] - bi[i]; for ( j=0; jfactor = FACTOR_LU; C->assembled = PETSC_TRUE; PLogFlops(1.3333*27*b->mbs); /* from inverting diagonal blocks */ PetscFunctionReturn(0); } /* ------------------------------------------------------------*/ /* Version for when blocks are 2 by 2 */ #undef __FUNC__ #define __FUNC__ "MatLUFactorNumeric_SeqBAIJ_2" int MatLUFactorNumeric_SeqBAIJ_2(Mat A,Mat *B) { Mat C = *B; Mat_SeqBAIJ *a = (Mat_SeqBAIJ *) A->data,*b = (Mat_SeqBAIJ *)C->data; IS isrow = b->row, isicol = b->icol; int *r,*ic, ierr, i, j, n = a->mbs, *bi = b->i, *bj = b->j; int *ajtmpold, *ajtmp, nz, row, v_pivots[2]; int *diag_offset=b->diag,bs = 2,idx,*ai=a->i,*aj=a->j; register int *pj; register Scalar *pv,*v,*rtmp,m1,m2,m3,m4,*pc,*w,*x,x1,x2,x3,x4; Scalar p1,p2,p3,p4,v_work[2]; Scalar *ba = b->a,*aa = a->a; PetscFunctionBegin; ierr = ISGetIndices(isrow,&r); CHKERRQ(ierr); ierr = ISGetIndices(isicol,&ic); CHKERRQ(ierr); rtmp = (Scalar *) PetscMalloc(4*(n+1)*sizeof(Scalar));CHKPTRQ(rtmp); for ( i=0; ia */ pv = ba + 4*bi[i]; pj = bj + bi[i]; nz = bi[i+1] - bi[i]; for ( j=0; jfactor = FACTOR_LU; C->assembled = PETSC_TRUE; PLogFlops(1.3333*8*b->mbs); /* from inverting diagonal blocks */ PetscFunctionReturn(0); } /* ----------------------------------------------------------- */ /* Version for when blocks are 1 by 1. */ #undef __FUNC__ #define __FUNC__ "MatLUFactorNumeric_SeqBAIJ_1" int MatLUFactorNumeric_SeqBAIJ_1(Mat A,Mat *B) { Mat C = *B; Mat_SeqBAIJ *a = (Mat_SeqBAIJ *) A->data, *b = (Mat_SeqBAIJ *)C->data; IS isrow = b->row, isicol = b->icol; int *r,*ic, ierr, i, j, n = a->mbs, *bi = b->i, *bj = b->j; int *ajtmpold, *ajtmp, nz, row,*ai = a->i,*aj = a->j; int *diag_offset = b->diag,diag; register int *pj; register Scalar *pv,*v,*rtmp,multiplier,*pc; Scalar *ba = b->a,*aa = a->a; PetscFunctionBegin; ierr = ISGetIndices(isrow,&r); CHKERRQ(ierr); ierr = ISGetIndices(isicol,&ic); CHKERRQ(ierr); rtmp = (Scalar *) PetscMalloc((n+1)*sizeof(Scalar));CHKPTRQ(rtmp); for ( i=0; ia */ pv = ba + bi[i]; pj = bj + bi[i]; nz = bi[i+1] - bi[i]; for ( j=0; jfactor = FACTOR_LU; C->assembled = PETSC_TRUE; PLogFlops(b->n); PetscFunctionReturn(0); } /* ----------------------------------------------------------- */ #undef __FUNC__ #define __FUNC__ "MatLUFactor_SeqBAIJ" int MatLUFactor_SeqBAIJ(Mat A,IS row,IS col,double f) { Mat_SeqBAIJ *mat = (Mat_SeqBAIJ *) A->data; int ierr; Mat C; PetscOps *Abops; MatOps Aops; PetscFunctionBegin; ierr = MatLUFactorSymbolic(A,row,col,f,&C); CHKERRQ(ierr); ierr = MatLUFactorNumeric(A,&C); CHKERRQ(ierr); /* free all the data structures from mat */ PetscFree(mat->a); if (!mat->singlemalloc) {PetscFree(mat->i); PetscFree(mat->j);} if (mat->diag) PetscFree(mat->diag); if (mat->ilen) PetscFree(mat->ilen); if (mat->imax) PetscFree(mat->imax); if (mat->solve_work) PetscFree(mat->solve_work); if (mat->mult_work) PetscFree(mat->mult_work); if (mat->icol) {ierr = ISDestroy(mat->icol);CHKERRQ(ierr);} PetscFree(mat); ierr = MapDestroy(A->rmap);CHKERRQ(ierr); ierr = MapDestroy(A->cmap);CHKERRQ(ierr); /* This is horrible, horrible code. We need to keep the A pointers for the bops and ops but copy everything else from C. */ Abops = A->bops; Aops = A->ops; PetscMemcpy(A,C,sizeof(struct _p_Mat)); A->bops = Abops; A->ops = Aops; A->qlist = 0; PetscHeaderDestroy(C); PetscFunctionReturn(0); }