#ifndef lint static char vcid[] = "$Id: baijfact.c,v 1.18 1996/04/20 04:20:18 bsmith Exp balay $"; #endif /* Factorization code for BAIJ format. */ #include "baij.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. */ 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,len, realloc = 0,nzbd,*im; if (a->m != a->n) SETERRQ(1,"MatLUFactorSymbolic_SeqBAIJ:Must be square"); if (!isrow) SETERRQ(1,"MatLUFactorSymbolic_SeqBAIJ:Must have row permutation"); if (!iscol) SETERRQ(1,"MatLUFactorSymbolic_SeqBAIJ:Must have col. permutation"); 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+1) { /* allocate a longer ajnew */ int maxadd; maxadd = (int) ((f*(ai[n]+1)*(n-i+5))/n); if (maxadd < nnz) maxadd = (n-i)*(nnz+1); jmax += maxadd; 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; } PLogInfo(A, "Info:MatLUFactorSymbolic_SeqBAIJ:Reallocs %d Fill ratio:given %g needed %g\n", realloc,f,((double)ainew[n])/((double)ai[i])); 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); ierr = ISDestroy(isicol); CHKERRQ(ierr); b = (Mat_SeqBAIJ *) (*B)->data; PetscFree(b->imax); b->singlemalloc = 0; len = ainew[n]*sizeof(Scalar); /* the next line frees the default space generated by the Create() */ PetscFree(b->a); PetscFree(b->ilen); b->a = (Scalar *) PetscMalloc( len*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->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]; return 0; } #include "pinclude/plapack.h" int Linpack_DGEFA(Scalar *,int, int *); int Linpack_DGEDI(Scalar *,int, int *,Scalar *); /* ----------------------------------------------------------- */ int MatLUFactorNumeric_SeqBAIJ_N(Mat A,Mat *B) { Mat C = *B; Mat_SeqBAIJ *a = (Mat_SeqBAIJ *) A->data,*b = (Mat_SeqBAIJ *)C->data; IS iscol = b->col, isrow = b->row, isicol; int *r,*ic, ierr, i, j, n = a->mbs, *ai = b->i, *aj = b->j; int *ajtmpold, *ajtmp, nz, row, bslog; int *diag_offset=b->diag,diag,bs=a->bs,bs2 = a->bs,*v_pivots; register Scalar *pv,*v,*rtmp,*multiplier,*v_work,*pc,*w; Scalar one = 1.0, zero = 0.0, mone = -1.0; register int *pj; ierr = ISInvertPermutation(iscol,&isicol); CHKERRQ(ierr); PLogObjectParent(*B,isicol); ierr = ISGetIndices(isrow,&r); CHKERRQ(ierr); ierr = ISGetIndices(isicol,&ic); CHKERRQ(ierr); rtmp = (Scalar *) PetscMalloc(bs2*(n+1)*sizeof(Scalar));CHKPTRQ(rtmp); /* 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; ii[r[i]+1] - a->i[r[i]]; ajtmpold = a->j + a->i[r[i]]; v = a->a + bs2*a->i[r[i]]; for ( j=0; ja + bs2*diag_offset[row]; pj = b->j + diag_offset[row] + 1; BLgemm_("N","N",&bs,&bs,&bs,&one,pc,&bs,pv,&bs,&zero, multiplier,&bs); PetscMemcpy(pc,multiplier,bs2*sizeof(Scalar)); nz = ai[row+1] - diag_offset[row] - 1; pv += bs2; for (j=0; ja */ pv = b->a + bs2*ai[i]; pj = b->j + ai[i]; nz = ai[i+1] - ai[i]; for ( j=0; jfactor = FACTOR_LU; C->assembled = PETSC_TRUE; PLogFlops(1.3333*bs*bs2*b->mbs); /* from inverting diagonal blocks */ return 0; } /* ------------------------------------------------------------*/ /* Version for when blocks are 5 by 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 iscol = b->col, isrow = b->row, isicol; int *r,*ic, ierr, i, j, n = a->mbs, *ai = b->i, *aj = b->j; int *ajtmpold, *ajtmp, nz, row, v_pivots[5]; int *diag_offset = b->diag,bs = 5,idx; register Scalar *pv,*v,*rtmp,*pc,*w,*x; Scalar p1,p2,p3,p4,v_work[5],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; register int *pj; ierr = ISInvertPermutation(iscol,&isicol); CHKERRQ(ierr); PLogObjectParent(*B,isicol); 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; ii[idx+1] - a->i[idx]; ajtmpold = a->j + a->i[idx]; v = a->a + 25*a->i[idx]; for ( j=0; ja + 25*diag_offset[row]; pj = b->j + diag_offset[row] + 1; x1 = pv[0]; x2 = pv[1]; x3 = pv[2]; x4 = pv[3]; x5 = pv[4]; x6 = pv[5]; x7 = pv[6]; x8 = pv[7]; x9 = pv[8]; x10 = pv[9]; x11 = pv[10]; x12 = pv[11]; x13 = pv[12]; x14 = pv[13]; x15 = pv[14]; x16 = pv[15]; x17 = pv[16]; x18 = pv[17]; x19 = pv[18]; x20 = pv[19]; x21 = pv[20]; x22 = pv[21]; x23 = pv[22]; x24 = pv[23]; x25 = pv[24]; pc[0] = m1 = p1*x1 + p6*x2 + p11*x3 + p16*x4 + p21*x5; pc[1] = m2 = p2*x1 + p7*x2 + p12*x3 + p17*x4 + p22*x5; pc[2] = m3 = p3*x1 + p8*x2 + p13*x3 + p18*x4 + p23*x5; pc[3] = m4 = p4*x1 + p9*x2 + p14*x3 + p19*x4 + p24*x5; pc[4] = m5 = p5*x1 + p10*x2 + p15*x3 + p20*x4 + p25*x5; pc[5] = m6 = p1*x6 + p6*x7 + p11*x8 + p16*x9 + p21*x10; pc[6] = m7 = p2*x6 + p7*x7 + p12*x8 + p17*x9 + p22*x10; pc[7] = m8 = p3*x6 + p8*x7 + p13*x8 + p18*x9 + p23*x10; pc[8] = m9 = p4*x6 + p9*x7 + p14*x8 + p19*x9 + p24*x10; pc[9] = m10 = p5*x6 + p10*x7 + p15*x8 + p20*x9 + p25*x10; pc[10] = m11 = p1*x11 + p6*x12 + p11*x13 + p16*x14 + p21*x15; pc[11] = m12 = p2*x11 + p7*x12 + p12*x13 + p17*x14 + p22*x15; pc[12] = m13 = p3*x11 + p8*x12 + p13*x13 + p18*x14 + p23*x15; pc[13] = m14 = p4*x11 + p9*x12 + p14*x13 + p19*x14 + p24*x15; pc[14] = m15 = p5*x11 + p10*x12 + p15*x13 + p20*x14 + p25*x15; pc[15] = m16 = p1*x16 + p6*x17 + p11*x18 + p16*x19 + p21*x20; pc[16] = m17 = p2*x16 + p7*x17 + p12*x18 + p17*x19 + p22*x20; pc[17] = m18 = p3*x16 + p8*x17 + p13*x18 + p18*x19 + p23*x20; pc[18] = m19 = p4*x16 + p9*x17 + p14*x18 + p19*x19 + p24*x20; pc[19] = m20 = p5*x16 + p10*x17 + p15*x18 + p20*x19 + p25*x20; pc[20] = m21 = p1*x21 + p6*x22 + p11*x23 + p16*x24 + p21*x25; pc[21] = m22 = p2*x21 + p7*x22 + p12*x23 + p17*x24 + p22*x25; pc[22] = m23 = p3*x21 + p8*x22 + p13*x23 + p18*x24 + p23*x25; pc[23] = m24 = p4*x21 + p9*x22 + p14*x23 + p19*x24 + p24*x25; pc[24] = m25 = p5*x21 + p10*x22 + p15*x23 + p20*x24 + p25*x25; nz = ai[row+1] - diag_offset[row] - 1; pv += 25; for (j=0; ja */ pv = b->a + 25*ai[i]; pj = b->j + ai[i]; nz = ai[i+1] - ai[i]; for ( j=0; ja + 25*diag_offset[i]; ierr = Linpack_DGEFA(w,bs,v_pivots); CHKERRQ(ierr); ierr = Linpack_DGEDI(w,bs,v_pivots,v_work); CHKERRQ(ierr); } PetscFree(rtmp); ierr = ISRestoreIndices(isicol,&ic); CHKERRQ(ierr); ierr = ISRestoreIndices(isrow,&r); CHKERRQ(ierr); ierr = ISDestroy(isicol); CHKERRQ(ierr); C->factor = FACTOR_LU; C->assembled = PETSC_TRUE; PLogFlops(1.3333*125*b->mbs); /* from inverting diagonal blocks */ return 0; } /* ------------------------------------------------------------*/ /* Version for when blocks are 4 by 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 iscol = b->col, isrow = b->row, isicol; int *r,*ic, ierr, i, j, n = a->mbs, *ai = b->i, *aj = b->j; int *ajtmpold, *ajtmp, nz, row, v_pivots[4]; int *diag_offset = b->diag,bs = 4,idx; register Scalar *pv,*v,*rtmp,*pc,*w,*x; Scalar p1,p2,p3,p4,v_work[4],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; register int *pj; ierr = ISInvertPermutation(iscol,&isicol); CHKERRQ(ierr); PLogObjectParent(*B,isicol); 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; ii[idx+1] - a->i[idx]; ajtmpold = a->j + a->i[idx]; v = a->a + 16*a->i[idx]; for ( j=0; ja + 16*diag_offset[row]; pj = b->j + diag_offset[row] + 1; x1 = pv[0]; x2 = pv[1]; x3 = pv[2]; x4 = pv[3]; x5 = pv[4]; x6 = pv[5]; x7 = pv[6]; x8 = pv[7]; x9 = pv[8]; x10 = pv[9]; x11 = pv[10]; x12 = pv[11]; x13 = pv[12]; x14 = pv[13]; x15 = pv[14]; x16 = pv[15]; pc[0] = m1 = p1*x1 + p5*x2 + p9*x3 + p13*x4; pc[1] = m2 = p2*x1 + p6*x2 + p10*x3 + p14*x4; pc[2] = m3 = p3*x1 + p7*x2 + p11*x3 + p15*x4; pc[3] = m4 = p4*x1 + p8*x2 + p12*x3 + p16*x4; pc[4] = m5 = p1*x5 + p5*x6 + p9*x7 + p13*x8; pc[5] = m6 = p2*x5 + p6*x6 + p10*x7 + p14*x8; pc[6] = m7 = p3*x5 + p7*x6 + p11*x7 + p15*x8; pc[7] = m8 = p4*x5 + p8*x6 + p12*x7 + p16*x8; pc[8] = m9 = p1*x9 + p5*x10 + p9*x11 + p13*x12; pc[9] = m10 = p2*x9 + p6*x10 + p10*x11 + p14*x12; pc[10] = m11 = p3*x9 + p7*x10 + p11*x11 + p15*x12; pc[11] = m12 = p4*x9 + p8*x10 + p12*x11 + p16*x12; pc[12] = m13 = p1*x13 + p5*x14 + p9*x15 + p13*x16; pc[13] = m14 = p2*x13 + p6*x14 + p10*x15 + p14*x16; pc[14] = m15 = p3*x13 + p7*x14 + p11*x15 + p15*x16; pc[15] = m16 = p4*x13 + p8*x14 + p12*x15 + p16*x16; nz = ai[row+1] - diag_offset[row] - 1; pv += 16; for (j=0; ja */ pv = b->a + 16*ai[i]; pj = b->j + ai[i]; nz = ai[i+1] - ai[i]; for ( j=0; ja + 16*diag_offset[i]; ierr = Linpack_DGEFA(w,bs,v_pivots); CHKERRQ(ierr); ierr = Linpack_DGEDI(w,bs,v_pivots,v_work); CHKERRQ(ierr); } PetscFree(rtmp); ierr = ISRestoreIndices(isicol,&ic); CHKERRQ(ierr); ierr = ISRestoreIndices(isrow,&r); CHKERRQ(ierr); ierr = ISDestroy(isicol); CHKERRQ(ierr); C->factor = FACTOR_LU; C->assembled = PETSC_TRUE; PLogFlops(1.3333*64*b->mbs); /* from inverting diagonal blocks */ return 0; } /* ------------------------------------------------------------*/ /* Version for when blocks are 3 by 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 iscol = b->col, isrow = b->row, isicol; int *r,*ic, ierr, i, j, n = a->mbs, *ai = b->i, *aj = b->j; int *ajtmpold, *ajtmp, nz, row, v_pivots[3]; int *diag_offset = b->diag,bs = 3,idx; register Scalar *pv,*v,*rtmp,*pc,*w,*x; Scalar p1,p2,p3,p4,v_work[3],m1,m2,m3,m4,m5,m6,m7,m8,m9,x1,x2,x3,x4; Scalar p5,p6,p7,p8,p9,x5,x6,x7,x8,x9; register int *pj; ierr = ISInvertPermutation(iscol,&isicol); CHKERRQ(ierr); PLogObjectParent(*B,isicol); 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; ii[idx+1] - a->i[idx]; ajtmpold = a->j + a->i[idx]; v = a->a + 9*a->i[idx]; for ( j=0; ja + 9*diag_offset[row]; pj = b->j + diag_offset[row] + 1; x1 = pv[0]; x2 = pv[1]; x3 = pv[2]; x4 = pv[3]; x5 = pv[4]; x6 = pv[5]; x7 = pv[6]; x8 = pv[7]; x9 = pv[8]; pc[0] = m1 = p1*x1 + p4*x2 + p7*x3; pc[1] = m2 = p2*x1 + p5*x2 + p8*x3; pc[2] = m3 = p3*x1 + p6*x2 + p9*x3; pc[3] = m4 = p1*x4 + p4*x5 + p7*x6; pc[4] = m5 = p2*x4 + p5*x5 + p8*x6; pc[5] = m6 = p3*x4 + p6*x5 + p9*x6; pc[6] = m7 = p1*x7 + p4*x8 + p7*x9; pc[7] = m8 = p2*x7 + p5*x8 + p8*x9; pc[8] = m9 = p3*x7 + p6*x8 + p9*x9; nz = ai[row+1] - diag_offset[row] - 1; pv += 9; for (j=0; ja */ pv = b->a + 9*ai[i]; pj = b->j + ai[i]; nz = ai[i+1] - ai[i]; for ( j=0; ja + 9*diag_offset[i]; ierr = Linpack_DGEFA(w,bs,v_pivots); CHKERRQ(ierr); ierr = Linpack_DGEDI(w,bs,v_pivots,v_work); CHKERRQ(ierr); } PetscFree(rtmp); ierr = ISRestoreIndices(isicol,&ic); CHKERRQ(ierr); ierr = ISRestoreIndices(isrow,&r); CHKERRQ(ierr); ierr = ISDestroy(isicol); CHKERRQ(ierr); C->factor = FACTOR_LU; C->assembled = PETSC_TRUE; PLogFlops(1.3333*27*b->mbs); /* from inverting diagonal blocks */ return 0; } /* ------------------------------------------------------------*/ /* Version for when blocks are 2 by 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 iscol = b->col, isrow = b->row, isicol; int *r,*ic, ierr, i, j, n = a->mbs, *ai = b->i, *aj = b->j; int *ajtmpold, *ajtmp, nz, row, v_pivots[2]; int *diag_offset=b->diag,bs = 2,idx; register Scalar *pv,*v,*rtmp,m1,m2,m3,m4,*pc,*w,*x,x1,x2,x3,x4; Scalar p1,p2,p3,p4,v_work[2]; register int *pj; ierr = ISInvertPermutation(iscol,&isicol); CHKERRQ(ierr); PLogObjectParent(*B,isicol); 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; ii[idx+1] - a->i[idx]; ajtmpold = a->j + a->i[idx]; v = a->a + 4*a->i[idx]; for ( j=0; ja + 4*diag_offset[row]; pj = b->j + diag_offset[row] + 1; x1 = pv[0]; x2 = pv[1]; x3 = pv[2]; x4 = pv[3]; pc[0] = m1 = p1*x1 + p3*x2; pc[1] = m2 = p2*x1 + p4*x2; pc[2] = m3 = p1*x3 + p3*x4; pc[3] = m4 = p2*x3 + p4*x4; nz = ai[row+1] - diag_offset[row] - 1; pv += 4; for (j=0; ja */ pv = b->a + 4*ai[i]; pj = b->j + ai[i]; nz = ai[i+1] - ai[i]; for ( j=0; ja + 4*diag_offset[i]; ierr = Linpack_DGEFA(w,bs,v_pivots); CHKERRQ(ierr); ierr = Linpack_DGEDI(w,bs,v_pivots,v_work); CHKERRQ(ierr); } PetscFree(rtmp); ierr = ISRestoreIndices(isicol,&ic); CHKERRQ(ierr); ierr = ISRestoreIndices(isrow,&r); CHKERRQ(ierr); ierr = ISDestroy(isicol); CHKERRQ(ierr); C->factor = FACTOR_LU; C->assembled = PETSC_TRUE; PLogFlops(1.3333*8*b->mbs); /* from inverting diagonal blocks */ return 0; } /* ----------------------------------------------------------- */ /* Version for when blocks are 1 by 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 iscol = b->col, isrow = b->row, isicol; int *r,*ic, ierr, i, j, n = a->mbs, *ai = b->i, *aj = b->j; int *ajtmpold, *ajtmp, nz, row; int *diag_offset = b->diag,diag; register Scalar *pv,*v,*rtmp,multiplier,*pc; register int *pj; ierr = ISInvertPermutation(iscol,&isicol); CHKERRQ(ierr); PLogObjectParent(*B,isicol); ierr = ISGetIndices(isrow,&r); CHKERRQ(ierr); ierr = ISGetIndices(isicol,&ic); CHKERRQ(ierr); rtmp = (Scalar *) PetscMalloc((n+1)*sizeof(Scalar));CHKPTRQ(rtmp); for ( i=0; ii[r[i]+1] - a->i[r[i]]; ajtmpold = a->j + a->i[r[i]]; v = a->a + a->i[r[i]]; for ( j=0; ja + diag_offset[row]; pj = b->j + diag_offset[row] + 1; multiplier = *pc * *pv++; *pc = multiplier; nz = ai[row+1] - diag_offset[row] - 1; for (j=0; ja */ pv = b->a + ai[i]; pj = b->j + ai[i]; nz = ai[i+1] - ai[i]; for ( j=0; jfactor = FACTOR_LU; C->assembled = PETSC_TRUE; PLogFlops(b->n); return 0; } /* ----------------------------------------------------------- */ int MatLUFactor_SeqBAIJ(Mat A,IS row,IS col,double f) { Mat_SeqBAIJ *mat = (Mat_SeqBAIJ *) A->data; int ierr; Mat C; ierr = MatLUFactorSymbolic_SeqBAIJ(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); PetscFree(mat); PetscMemcpy(A,C,sizeof(struct _Mat)); PetscHeaderDestroy(C); return 0; } /* ----------------------------------------------------------- */ static int MatSolveAdd_SeqBAIJ_Private(Mat A,Vec bb,Vec yy,Vec xx) { Mat_SeqBAIJ *a=(Mat_SeqBAIJ *)A->data; IS iscol=a->col,isrow=a->row; int *r,*c,ierr,i,n=a->mbs,*vi,*ai=a->i,*aj=a->j; int nz,bs=a->bs,bs2=a->bs2,idx,idt,idc,_One=1,m=a->m; Scalar *xa,*ba,*aa=a->a,*sum,_DOne=1.0,_DMOne=-1.0; Scalar _DZero=0.0,sum1,sum2,sum3,sum4,sum5,x1,x2,x3,x4,x5,*y; register Scalar *x,*b,*lsum,*tmp,*v; if (A->factor != FACTOR_LU) SETERRQ(1,"MatSolveAdd_SeqBAIJ_Private:Not for unfactored matrix"); ierr = VecGetArray(bb,&ba); CHKERRQ(ierr); b = ba; ierr = VecGetArray(xx,&xa); CHKERRQ(ierr); x = xa; tmp = a->solve_work; if (yy==PETSC_NULL) PetscMemzero(x,m*sizeof(Scalar)); /* MatSolve() */ else if (xx!=yy){ ierr = VecGetArray(yy,&y); CHKERRQ(ierr); PetscMemcpy(x,y,m*sizeof(Scalar)); ierr = VecRestoreArray(yy,&y); CHKERRQ(ierr); } ierr = ISGetIndices(isrow,&r);CHKERRQ(ierr); ierr = ISGetIndices(iscol,&c);CHKERRQ(ierr); c = c + (n-1); switch (bs) { case 1: /* forward solve the lower triangular */ tmp[0] = b[*r++]; for ( i=1; idiag[i] - ai[i]; sum1 = b[*r++]; while (nz--) { sum1 -= (*v++)*tmp[*vi++]; } tmp[i] = sum1; } /* backward solve the upper triangular */ for ( i=n-1; i>=0; i-- ){ v = aa + a->diag[i] + 1; vi = aj + a->diag[i] + 1; nz = ai[i+1] - a->diag[i] - 1; sum1 = tmp[i]; while (nz--) { sum1 -= (*v++)*tmp[*vi++]; } x[*c--] += tmp[i] = aa[a->diag[i]]*sum1; } break; case 2: /* forward solve the lower triangular */ idx = 2*(*r++); tmp[0] = b[idx]; tmp[1] = b[1+idx]; for ( i=1; idiag[i] - ai[i]; idx = 2*(*r++); sum1 = b[idx]; sum2 = b[1+idx]; while (nz--) { idx = 2*(*vi++); x1 = tmp[idx]; x2 = tmp[1+idx]; sum1 -= v[0]*x1 + v[2]*x2; sum2 -= v[1]*x1 + v[3]*x2; v += 4; } idx = 2*i; tmp[idx] = sum1; tmp[1+idx] = sum2; } /* backward solve the upper triangular */ for ( i=n-1; i>=0; i-- ){ v = aa + 4*a->diag[i] + 4; vi = aj + a->diag[i] + 1; nz = ai[i+1] - a->diag[i] - 1; idt = 2*i; sum1 = tmp[idt]; sum2 = tmp[1+idt]; while (nz--) { idx = 2*(*vi++); x1 = tmp[idx]; x2 = tmp[1+idx]; sum1 -= v[0]*x1 + v[2]*x2; sum2 -= v[1]*x1 + v[3]*x2; v += 4; } idc = 2*(*c--); v = aa + 4*a->diag[i]; x[idc] += tmp[idt] = v[0]*sum1 + v[2]*sum2; x[1+idc] += tmp[1+idt] = v[1]*sum1 + v[3]*sum2; } break; case 3: /* forward solve the lower triangular */ idx = 3*(*r++); tmp[0] = b[idx]; tmp[1] = b[1+idx]; tmp[2] = b[2+idx]; for ( i=1; idiag[i] - ai[i]; idx = 3*(*r++); sum1 = b[idx]; sum2 = b[1+idx]; sum3 = b[2+idx]; while (nz--) { idx = 3*(*vi++); x1 = tmp[idx]; x2 = tmp[1+idx]; x3 = tmp[2+idx]; sum1 -= v[0]*x1 + v[3]*x2 + v[6]*x3; sum2 -= v[1]*x1 + v[4]*x2 + v[7]*x3; sum3 -= v[2]*x1 + v[5]*x2 + v[8]*x3; v += 9; } idx = 3*i; tmp[idx] = sum1; tmp[1+idx] = sum2; tmp[2+idx] = sum3; } /* backward solve the upper triangular */ for ( i=n-1; i>=0; i-- ){ v = aa + 9*a->diag[i] + 9; vi = aj + a->diag[i] + 1; nz = ai[i+1] - a->diag[i] - 1; idt = 3*i; sum1 = tmp[idt]; sum2 = tmp[1+idt]; sum3 = tmp[2+idt]; while (nz--) { idx = 3*(*vi++); x1 = tmp[idx]; x2 = tmp[1+idx]; x3 = tmp[2+idx]; sum1 -= v[0]*x1 + v[3]*x2 + v[6]*x3; sum2 -= v[1]*x1 + v[4]*x2 + v[7]*x3; sum3 -= v[2]*x1 + v[5]*x2 + v[8]*x3; v += 9; } idc = 3*(*c--); v = aa + 9*a->diag[i]; x[idc] += tmp[idt] = v[0]*sum1 + v[3]*sum2 + v[6]*sum3; x[1+idc] += tmp[1+idt] = v[1]*sum1 + v[4]*sum2 + v[7]*sum3; x[2+idc] += tmp[2+idt] = v[2]*sum1 + v[5]*sum2 + v[8]*sum3; } break; case 4: /* forward solve the lower triangular */ idx = 4*(*r++); tmp[0] = b[idx]; tmp[1] = b[1+idx]; tmp[2] = b[2+idx]; tmp[3] = b[3+idx]; for ( i=1; idiag[i] - ai[i]; idx = 4*(*r++); sum1 = b[idx];sum2 = b[1+idx];sum3 = b[2+idx];sum4 = b[3+idx]; while (nz--) { idx = 4*(*vi++); x1 = tmp[idx];x2 = tmp[1+idx];x3 = tmp[2+idx];x4 = tmp[3+idx]; sum1 -= v[0]*x1 + v[4]*x2 + v[8]*x3 + v[12]*x4; sum2 -= v[1]*x1 + v[5]*x2 + v[9]*x3 + v[13]*x4; sum3 -= v[2]*x1 + v[6]*x2 + v[10]*x3 + v[14]*x4; sum4 -= v[3]*x1 + v[7]*x2 + v[11]*x3 + v[15]*x4; v += 16; } idx = 4*i; tmp[idx] = sum1;tmp[1+idx] = sum2; tmp[2+idx] = sum3;tmp[3+idx] = sum4; } /* backward solve the upper triangular */ for ( i=n-1; i>=0; i-- ){ v = aa + 16*a->diag[i] + 16; vi = aj + a->diag[i] + 1; nz = ai[i+1] - a->diag[i] - 1; idt = 4*i; sum1 = tmp[idt]; sum2 = tmp[1+idt]; sum3 = tmp[2+idt];sum4 = tmp[3+idt]; while (nz--) { idx = 4*(*vi++); x1 = tmp[idx]; x2 = tmp[1+idx]; x3 = tmp[2+idx]; x4 = tmp[3+idx]; sum1 -= v[0]*x1 + v[4]*x2 + v[8]*x3 + v[12]*x4; sum2 -= v[1]*x1 + v[5]*x2 + v[9]*x3 + v[13]*x4; sum3 -= v[2]*x1 + v[6]*x2 + v[10]*x3 + v[14]*x4; sum4 -= v[3]*x1 + v[7]*x2 + v[11]*x3 + v[15]*x4; v += 16; } idc = 4*(*c--); v = aa + 16*a->diag[i]; x[idc] += tmp[idt] = v[0]*sum1+v[4]*sum2+v[8]*sum3+v[12]*sum4; x[1+idc] += tmp[1+idt] = v[1]*sum1+v[5]*sum2+v[9]*sum3+v[13]*sum4; x[2+idc] += tmp[2+idt] = v[2]*sum1+v[6]*sum2+v[10]*sum3+v[14]*sum4; x[3+idc] += tmp[3+idt] = v[3]*sum1+v[7]*sum2+v[11]*sum3+v[15]*sum4; } break; case 5: /* forward solve the lower triangular */ idx = 5*(*r++); tmp[0] = b[idx]; tmp[1] = b[1+idx]; tmp[2] = b[2+idx]; tmp[3] = b[3+idx]; tmp[4] = b[4+idx]; for ( i=1; idiag[i] - ai[i]; idx = 5*(*r++); sum1 = b[idx];sum2 = b[1+idx];sum3 = b[2+idx];sum4 = b[3+idx]; sum5 = b[4+idx]; while (nz--) { idx = 5*(*vi++); x1 = tmp[idx]; x2 = tmp[1+idx];x3 = tmp[2+idx]; x4 = tmp[3+idx];x5 = tmp[4+idx]; sum1 -= v[0]*x1 + v[5]*x2 + v[10]*x3 + v[15]*x4 + v[20]*x5; sum2 -= v[1]*x1 + v[6]*x2 + v[11]*x3 + v[16]*x4 + v[21]*x5; sum3 -= v[2]*x1 + v[7]*x2 + v[12]*x3 + v[17]*x4 + v[22]*x5; sum4 -= v[3]*x1 + v[8]*x2 + v[13]*x3 + v[18]*x4 + v[23]*x5; sum5 -= v[4]*x1 + v[9]*x2 + v[14]*x3 + v[19]*x4 + v[24]*x5; v += 25; } idx = 5*i; tmp[idx] = sum1;tmp[1+idx] = sum2; tmp[2+idx] = sum3;tmp[3+idx] = sum4; tmp[4+idx] = sum5; } /* backward solve the upper triangular */ for ( i=n-1; i>=0; i-- ){ v = aa + 25*a->diag[i] + 25; vi = aj + a->diag[i] + 1; nz = ai[i+1] - a->diag[i] - 1; idt = 5*i; sum1 = tmp[idt]; sum2 = tmp[1+idt]; sum3 = tmp[2+idt];sum4 = tmp[3+idt]; sum5 = tmp[4+idt]; while (nz--) { idx = 5*(*vi++); x1 = tmp[idx]; x2 = tmp[1+idx]; x3 = tmp[2+idx]; x4 = tmp[3+idx]; x5 = tmp[4+idx]; sum1 -= v[0]*x1 + v[5]*x2 + v[10]*x3 + v[15]*x4 + v[20]*x5; sum2 -= v[1]*x1 + v[6]*x2 + v[11]*x3 + v[16]*x4 + v[21]*x5; sum3 -= v[2]*x1 + v[7]*x2 + v[12]*x3 + v[17]*x4 + v[22]*x5; sum4 -= v[3]*x1 + v[8]*x2 + v[13]*x3 + v[18]*x4 + v[23]*x5; sum5 -= v[4]*x1 + v[9]*x2 + v[14]*x3 + v[19]*x4 + v[24]*x5; v += 25; } idc = 5*(*c--); v = aa + 25*a->diag[i]; x[idc] += tmp[idt] = v[0]*sum1+v[5]*sum2+v[10]*sum3+ v[15]*sum4+v[20]*sum5; x[1+idc] += tmp[1+idt] = v[1]*sum1+v[6]*sum2+v[11]*sum3+ v[16]*sum4+v[21]*sum5; x[2+idc] += tmp[2+idt] = v[2]*sum1+v[7]*sum2+v[12]*sum3+ v[17]*sum4+v[22]*sum5; x[3+idc] += tmp[3+idt] = v[3]*sum1+v[8]*sum2+v[13]*sum3+ v[18]*sum4+v[23]*sum5; x[4+idc] += tmp[4+idt] = v[4]*sum1+v[9]*sum2+v[14]*sum3+ v[19]*sum4+v[24]*sum5; } break; default: { /* forward solve the lower triangular */ PetscMemcpy(tmp,b + bs*(*r++), bs*sizeof(Scalar)); for ( i=1; idiag[i] - ai[i]; sum = tmp + bs*i; PetscMemcpy(sum,b+bs*(*r++),bs*sizeof(Scalar)); while (nz--) { LAgemv_("N",&bs,&bs,&_DMOne,v,&bs,tmp+bs*(*vi++),&_One,&_DOne,sum,&_One); v += bs2; } } /* backward solve the upper triangular */ lsum = a->solve_work + a->n; for ( i=n-1; i>=0; i-- ){ v = aa + bs2*(a->diag[i] + 1); vi = aj + a->diag[i] + 1; nz = ai[i+1] - a->diag[i] - 1; PetscMemcpy(lsum,tmp+i*bs,bs*sizeof(Scalar)); while (nz--) { LAgemv_("N",&bs,&bs,&_DMOne,v,&bs,tmp+bs*(*vi++),&_One,&_DOne,lsum,&_One); v += bs2; } LAgemv_("N",&bs,&bs,&_DOne,aa+bs2*a->diag[i],&bs,lsum,&_One,&_DZero, tmp+i*bs,&_One); PetscMemcpy(x + bs*(*c--),tmp+i*bs,bs*sizeof(Scalar)); } } } ierr = ISRestoreIndices(isrow,&r); CHKERRQ(ierr); ierr = ISRestoreIndices(iscol,&c); CHKERRQ(ierr); return 0; } /* ----------------------------------------------------------------*/ int MatSolve_SeqBAIJ(Mat A,Vec bb, Vec xx) { Mat_SeqBAIJ *a = (Mat_SeqBAIJ *) A->data; int ierr; ierr = MatSolveAdd_SeqBAIJ_Private(A,bb,PETSC_NULL,xx); CHKERRQ(ierr); PLogFlops(2*(a->bs2)*(a->nz) - a->n); return 0; } /* ----------------------------------------------------------------*/ int MatSolveAdd_SeqBAIJ(Mat A,Vec bb,Vec yy,Vec xx) { Mat_SeqBAIJ *a = (Mat_SeqBAIJ *) A->data; int ierr; ierr = MatSolveAdd_SeqBAIJ_Private(A,bb,yy,xx); CHKERRQ(ierr); PLogFlops(2*(a->bs2)*(a->nz)); return 0; } /* ----------------------------------------------------------- */ static int MatSolveTransAdd_SeqBAIJ_Private(Mat A,Vec bb,Vec yy,Vec xx) { Mat_SeqBAIJ *a=(Mat_SeqBAIJ *)A->data; IS iscol=a->col,isrow=a->row; int *r,*c,ierr,i,n=a->mbs,*vi,*ai=a->i,*aj=a->j; int nz,bs=a->bs,bs2=a->bs2,idx,idt,idc,_One=1,m=a->m; Scalar *xa,*ba,*aa=a->a,*sum,_DOne=1.0,_DMOne=-1.0; Scalar _DZero=0.0,sum1,sum2,sum3,sum4,sum5,x1,x2,x3,x4,x5,*y; register Scalar *x,*b,*lsum,*tmp,*v; if (A->factor != FACTOR_LU) SETERRQ(1,"MatSolveAdd_SeqBAIJ_Private:Not for unfactored matrix"); ierr = VecGetArray(bb,&ba); CHKERRQ(ierr); b = ba; ierr = VecGetArray(xx,&xa); CHKERRQ(ierr); x = xa; tmp = a->solve_work; if (yy==PETSC_NULL) PetscMemzero(x,m*sizeof(Scalar)); /* MatSolve() */ else if (xx!=yy){ ierr = VecGetArray(yy,&y); CHKERRQ(ierr); PetscMemcpy(x,y,m*sizeof(Scalar)); ierr = VecRestoreArray(yy,&y); CHKERRQ(ierr); } ierr = ISGetIndices(isrow,&r);CHKERRQ(ierr); ierr = ISGetIndices(iscol,&c);CHKERRQ(ierr); c = c + (n-1); switch (bs) { case 1: /* forward solve the lower triangular */ tmp[0] = b[*r++]; for ( i=1; idiag[i] - ai[i]; sum1 = b[*r++]; while (nz--) { sum1 -= (*v++)*tmp[*vi++]; } tmp[i] = sum1; } /* backward solve the upper triangular */ for ( i=n-1; i>=0; i-- ){ v = aa + a->diag[i] + 1; vi = aj + a->diag[i] + 1; nz = ai[i+1] - a->diag[i] - 1; sum1 = tmp[i]; while (nz--) { sum1 -= (*v++)*tmp[*vi++]; } x[*c--] += tmp[i] = aa[a->diag[i]]*sum1; } break; case 2: /* forward solve the lower triangular */ idx = 2*(*r++); tmp[0] = b[idx]; tmp[1] = b[1+idx]; for ( i=1; idiag[i] - ai[i]; idx = 2*(*r++); sum1 = b[idx]; sum2 = b[1+idx]; while (nz--) { idx = 2*(*vi++); x1 = tmp[idx]; x2 = tmp[1+idx]; sum1 -= v[0]*x1 + v[2]*x2; sum2 -= v[1]*x1 + v[3]*x2; v += 4; } idx = 2*i; tmp[idx] = sum1; tmp[1+idx] = sum2; } /* backward solve the upper triangular */ for ( i=n-1; i>=0; i-- ){ v = aa + 4*a->diag[i] + 4; vi = aj + a->diag[i] + 1; nz = ai[i+1] - a->diag[i] - 1; idt = 2*i; sum1 = tmp[idt]; sum2 = tmp[1+idt]; while (nz--) { idx = 2*(*vi++); x1 = tmp[idx]; x2 = tmp[1+idx]; sum1 -= v[0]*x1 + v[2]*x2; sum2 -= v[1]*x1 + v[3]*x2; v += 4; } idc = 2*(*c--); v = aa + 4*a->diag[i]; x[idc] += tmp[idt] = v[0]*sum1 + v[2]*sum2; x[1+idc] += tmp[1+idt] = v[1]*sum1 + v[3]*sum2; } break; case 3: /* forward solve the lower triangular */ idx = 3*(*r++); tmp[0] = b[idx]; tmp[1] = b[1+idx]; tmp[2] = b[2+idx]; for ( i=1; idiag[i] - ai[i]; idx = 3*(*r++); sum1 = b[idx]; sum2 = b[1+idx]; sum3 = b[2+idx]; while (nz--) { idx = 3*(*vi++); x1 = tmp[idx]; x2 = tmp[1+idx]; x3 = tmp[2+idx]; sum1 -= v[0]*x1 + v[3]*x2 + v[6]*x3; sum2 -= v[1]*x1 + v[4]*x2 + v[7]*x3; sum3 -= v[2]*x1 + v[5]*x2 + v[8]*x3; v += 9; } idx = 3*i; tmp[idx] = sum1; tmp[1+idx] = sum2; tmp[2+idx] = sum3; } /* backward solve the upper triangular */ for ( i=n-1; i>=0; i-- ){ v = aa + 9*a->diag[i] + 9; vi = aj + a->diag[i] + 1; nz = ai[i+1] - a->diag[i] - 1; idt = 3*i; sum1 = tmp[idt]; sum2 = tmp[1+idt]; sum3 = tmp[2+idt]; while (nz--) { idx = 3*(*vi++); x1 = tmp[idx]; x2 = tmp[1+idx]; x3 = tmp[2+idx]; sum1 -= v[0]*x1 + v[3]*x2 + v[6]*x3; sum2 -= v[1]*x1 + v[4]*x2 + v[7]*x3; sum3 -= v[2]*x1 + v[5]*x2 + v[8]*x3; v += 9; } idc = 3*(*c--); v = aa + 9*a->diag[i]; x[idc] += tmp[idt] = v[0]*sum1 + v[3]*sum2 + v[6]*sum3; x[1+idc] += tmp[1+idt] = v[1]*sum1 + v[4]*sum2 + v[7]*sum3; x[2+idc] += tmp[2+idt] = v[2]*sum1 + v[5]*sum2 + v[8]*sum3; } break; case 4: /* forward solve the lower triangular */ idx = 4*(*r++); tmp[0] = b[idx]; tmp[1] = b[1+idx]; tmp[2] = b[2+idx]; tmp[3] = b[3+idx]; for ( i=1; idiag[i] - ai[i]; idx = 4*(*r++); sum1 = b[idx];sum2 = b[1+idx];sum3 = b[2+idx];sum4 = b[3+idx]; while (nz--) { idx = 4*(*vi++); x1 = tmp[idx];x2 = tmp[1+idx];x3 = tmp[2+idx];x4 = tmp[3+idx]; sum1 -= v[0]*x1 + v[4]*x2 + v[8]*x3 + v[12]*x4; sum2 -= v[1]*x1 + v[5]*x2 + v[9]*x3 + v[13]*x4; sum3 -= v[2]*x1 + v[6]*x2 + v[10]*x3 + v[14]*x4; sum4 -= v[3]*x1 + v[7]*x2 + v[11]*x3 + v[15]*x4; v += 16; } idx = 4*i; tmp[idx] = sum1;tmp[1+idx] = sum2; tmp[2+idx] = sum3;tmp[3+idx] = sum4; } /* backward solve the upper triangular */ for ( i=n-1; i>=0; i-- ){ v = aa + 16*a->diag[i] + 16; vi = aj + a->diag[i] + 1; nz = ai[i+1] - a->diag[i] - 1; idt = 4*i; sum1 = tmp[idt]; sum2 = tmp[1+idt]; sum3 = tmp[2+idt];sum4 = tmp[3+idt]; while (nz--) { idx = 4*(*vi++); x1 = tmp[idx]; x2 = tmp[1+idx]; x3 = tmp[2+idx]; x4 = tmp[3+idx]; sum1 -= v[0]*x1 + v[4]*x2 + v[8]*x3 + v[12]*x4; sum2 -= v[1]*x1 + v[5]*x2 + v[9]*x3 + v[13]*x4; sum3 -= v[2]*x1 + v[6]*x2 + v[10]*x3 + v[14]*x4; sum4 -= v[3]*x1 + v[7]*x2 + v[11]*x3 + v[15]*x4; v += 16; } idc = 4*(*c--); v = aa + 16*a->diag[i]; x[idc] += tmp[idt] = v[0]*sum1+v[4]*sum2+v[8]*sum3+v[12]*sum4; x[1+idc] += tmp[1+idt] = v[1]*sum1+v[5]*sum2+v[9]*sum3+v[13]*sum4; x[2+idc] += tmp[2+idt] = v[2]*sum1+v[6]*sum2+v[10]*sum3+v[14]*sum4; x[3+idc] += tmp[3+idt] = v[3]*sum1+v[7]*sum2+v[11]*sum3+v[15]*sum4; } break; case 5: /* forward solve the lower triangular */ idx = 5*(*r++); tmp[0] = b[idx]; tmp[1] = b[1+idx]; tmp[2] = b[2+idx]; tmp[3] = b[3+idx]; tmp[4] = b[4+idx]; for ( i=1; idiag[i] - ai[i]; idx = 5*(*r++); sum1 = b[idx];sum2 = b[1+idx];sum3 = b[2+idx];sum4 = b[3+idx]; sum5 = b[4+idx]; while (nz--) { idx = 5*(*vi++); x1 = tmp[idx]; x2 = tmp[1+idx];x3 = tmp[2+idx]; x4 = tmp[3+idx];x5 = tmp[4+idx]; sum1 -= v[0]*x1 + v[5]*x2 + v[10]*x3 + v[15]*x4 + v[20]*x5; sum2 -= v[1]*x1 + v[6]*x2 + v[11]*x3 + v[16]*x4 + v[21]*x5; sum3 -= v[2]*x1 + v[7]*x2 + v[12]*x3 + v[17]*x4 + v[22]*x5; sum4 -= v[3]*x1 + v[8]*x2 + v[13]*x3 + v[18]*x4 + v[23]*x5; sum5 -= v[4]*x1 + v[9]*x2 + v[14]*x3 + v[19]*x4 + v[24]*x5; v += 25; } idx = 5*i; tmp[idx] = sum1;tmp[1+idx] = sum2; tmp[2+idx] = sum3;tmp[3+idx] = sum4; tmp[4+idx] = sum5; } /* backward solve the upper triangular */ for ( i=n-1; i>=0; i-- ){ v = aa + 25*a->diag[i] + 25; vi = aj + a->diag[i] + 1; nz = ai[i+1] - a->diag[i] - 1; idt = 5*i; sum1 = tmp[idt]; sum2 = tmp[1+idt]; sum3 = tmp[2+idt];sum4 = tmp[3+idt]; sum5 = tmp[4+idt]; while (nz--) { idx = 5*(*vi++); x1 = tmp[idx]; x2 = tmp[1+idx]; x3 = tmp[2+idx]; x4 = tmp[3+idx]; x5 = tmp[4+idx]; sum1 -= v[0]*x1 + v[5]*x2 + v[10]*x3 + v[15]*x4 + v[20]*x5; sum2 -= v[1]*x1 + v[6]*x2 + v[11]*x3 + v[16]*x4 + v[21]*x5; sum3 -= v[2]*x1 + v[7]*x2 + v[12]*x3 + v[17]*x4 + v[22]*x5; sum4 -= v[3]*x1 + v[8]*x2 + v[13]*x3 + v[18]*x4 + v[23]*x5; sum5 -= v[4]*x1 + v[9]*x2 + v[14]*x3 + v[19]*x4 + v[24]*x5; v += 25; } idc = 5*(*c--); v = aa + 25*a->diag[i]; x[idc] += tmp[idt] = v[0]*sum1+v[5]*sum2+v[10]*sum3+ v[15]*sum4+v[20]*sum5; x[1+idc] += tmp[1+idt] = v[1]*sum1+v[6]*sum2+v[11]*sum3+ v[16]*sum4+v[21]*sum5; x[2+idc] += tmp[2+idt] = v[2]*sum1+v[7]*sum2+v[12]*sum3+ v[17]*sum4+v[22]*sum5; x[3+idc] += tmp[3+idt] = v[3]*sum1+v[8]*sum2+v[13]*sum3+ v[18]*sum4+v[23]*sum5; x[4+idc] += tmp[4+idt] = v[4]*sum1+v[9]*sum2+v[14]*sum3+ v[19]*sum4+v[24]*sum5; } break; default: { /* forward solve the lower triangular */ PetscMemcpy(tmp,b + bs*(*r++), bs*sizeof(Scalar)); for ( i=1; idiag[i] - ai[i]; sum = tmp + bs*i; PetscMemcpy(sum,b+bs*(*r++),bs*sizeof(Scalar)); while (nz--) { LAgemv_("N",&bs,&bs,&_DMOne,v,&bs,tmp+bs*(*vi++),&_One,&_DOne,sum,&_One); v += bs2; } } /* backward solve the upper triangular */ lsum = a->solve_work + a->n; for ( i=n-1; i>=0; i-- ){ v = aa + bs2*(a->diag[i] + 1); vi = aj + a->diag[i] + 1; nz = ai[i+1] - a->diag[i] - 1; PetscMemcpy(lsum,tmp+i*bs,bs*sizeof(Scalar)); while (nz--) { LAgemv_("N",&bs,&bs,&_DMOne,v,&bs,tmp+bs*(*vi++),&_One,&_DOne,lsum,&_One); v += bs2; } LAgemv_("N",&bs,&bs,&_DOne,aa+bs2*a->diag[i],&bs,lsum,&_One,&_DZero, tmp+i*bs,&_One); PetscMemcpy(x + bs*(*c--),tmp+i*bs,bs*sizeof(Scalar)); } } } ierr = ISRestoreIndices(isrow,&r); CHKERRQ(ierr); ierr = ISRestoreIndices(iscol,&c); CHKERRQ(ierr); return 0; } /* ----------------------------------------------------------------*/ int MatSolveTrans_SeqBAIJ(Mat A,Vec bb, Vec xx) { Mat_SeqBAIJ *a = (Mat_SeqBAIJ *) A->data; int ierr; ierr = MatSolveAdd_SeqBAIJ_Private(A,bb,PETSC_NULL,xx); CHKERRQ(ierr); PLogFlops(2*(a->bs2)*(a->nz) - a->n); return 0; } /* ----------------------------------------------------------------*/ int MatSolveTransAdd_SeqBAIJ(Mat A,Vec bb,Vec yy,Vec xx) { Mat_SeqBAIJ *a = (Mat_SeqBAIJ *) A->data; int ierr; ierr = MatSolveAdd_SeqBAIJ_Private(A,bb,yy,xx); CHKERRQ(ierr); PLogFlops(2*(a->bs2)*(a->nz)); return 0; } /* ----------------------------------------------------------------*/ /* This code is virtually identical to MatILUFactorSymbolic_SeqAIJ except that the data structure of Mat_SeqAIJ is slightly different. Not a good example of code reuse. */ int MatILUFactorSymbolic_SeqBAIJ(Mat A,IS isrow,IS iscol,double f,int levels, Mat *fact) { Mat_SeqBAIJ *a = (Mat_SeqBAIJ *) A->data, *b; IS isicol; int *r,*ic, ierr, prow, n = a->mbs, *ai = a->i, *aj = a->j; int *ainew,*ajnew, jmax,*fill, *xi, nz, *im,*ajfill,*flev; int *dloc, idx, row,m,fm, nzf, nzi,len, realloc = 0; int incrlev,nnz,i,bs = a->bs,bs2 = a->bs2; PetscTruth col_identity, row_identity; if (a->m != a->n) SETERRQ(1,"MatILUFactorSymbolic_SeqBAIJ:Matrix must be square"); if (!isrow) SETERRQ(1,"MatILUFactorSymbolic_SeqBAIJ:Must have row permutation"); if (!iscol) SETERRQ(1,"MatILUFactorSymbolic_SeqBAIJ:Must have column permutation"); /* special case that simply copies fill pattern */ ISIdentity(isrow,&row_identity); ISIdentity(iscol,&col_identity); if (levels == 0 && row_identity && col_identity) { ierr = MatConvertSameType_SeqBAIJ(A,fact,DO_NOT_COPY_VALUES); CHKERRQ(ierr); (*fact)->factor = FACTOR_LU; b = (Mat_SeqBAIJ *) (*fact)->data; if (!b->diag) { ierr = MatMarkDiag_SeqBAIJ(*fact); CHKERRQ(ierr); } b->row = isrow; b->col = iscol; b->solve_work = (Scalar *) PetscMalloc((b->m+1+b->bs)*sizeof(Scalar));CHKPTRQ(b->solve_work); return 0; } ierr = ISInvertPermutation(iscol,&isicol); CHKERRQ(ierr); ierr = ISGetIndices(isrow,&r); CHKERRQ(ierr); ierr = ISGetIndices(isicol,&ic); CHKERRQ(ierr); /* 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); /* ajfill is level of fill for each fill entry */ ajfill = (int *) PetscMalloc( (jmax)*sizeof(int) ); CHKPTRQ(ajfill); /* fill is a linked list of nonzeros in active row */ fill = (int *) PetscMalloc( (n+1)*sizeof(int)); CHKPTRQ(fill); /* im is level for each filled value */ im = (int *) PetscMalloc( (n+1)*sizeof(int)); CHKPTRQ(im); /* dloc is location of diagonal in factor */ dloc = (int *) PetscMalloc( (n+1)*sizeof(int)); CHKPTRQ(dloc); dloc[0] = 0; for ( prow=0; prow 0) { idx = *xi++; if (*flev + incrlev > levels) { flev++; continue; } do { m = fm; fm = fill[m]; } while (fm < idx); if (fm != idx) { im[idx] = *flev + incrlev; fill[m] = idx; fill[idx] = fm; fm = idx; nzf++; } else { if (im[idx] > *flev + incrlev) im[idx] = *flev+incrlev; } flev++; } row = fill[row]; nzi++; } /* copy new filled row into permanent storage */ ainew[prow+1] = ainew[prow] + nzf; if (ainew[prow+1] > jmax) { /* allocate a longer ajnew */ int maxadd; maxadd = (int) (((f*ai[n]+1)*(n-prow+5))/n); if (maxadd < nzf) maxadd = (n-prow)*(nzf+1); jmax += maxadd; xi = (int *) PetscMalloc( jmax*sizeof(int) );CHKPTRQ(xi); PetscMemcpy(xi,ajnew,ainew[prow]*sizeof(int)); PetscFree(ajnew); ajnew = xi; /* allocate a longer ajfill */ xi = (int *) PetscMalloc( jmax*sizeof(int) );CHKPTRQ(xi); PetscMemcpy(xi,ajfill,ainew[prow]*sizeof(int)); PetscFree(ajfill); ajfill = xi; realloc++; } xi = ajnew + ainew[prow]; flev = ajfill + ainew[prow]; dloc[prow] = nzi; fm = fill[n]; while (nzf--) { *xi++ = fm; *flev++ = im[fm]; fm = fill[fm]; } } PetscFree(ajfill); ierr = ISRestoreIndices(isrow,&r); CHKERRQ(ierr); ierr = ISRestoreIndices(isicol,&ic); CHKERRQ(ierr); ierr = ISDestroy(isicol); CHKERRQ(ierr); PetscFree(fill); PetscFree(im); PLogInfo(A, "Info:MatILUFactorSymbolic_SeqBAIJ:Realloc %d Fill ratio:given %g needed %g\n", realloc,f,((double)ainew[n])/((double)ai[prow])); /* put together the new matrix */ ierr = MatCreateSeqBAIJ(A->comm,bs,bs*n,bs*n,0,PETSC_NULL,fact);CHKERRQ(ierr); b = (Mat_SeqBAIJ *) (*fact)->data; PetscFree(b->imax); b->singlemalloc = 0; len = bs2*ainew[n]*sizeof(Scalar); /* the next line frees the default space generated by the Create() */ PetscFree(b->a); PetscFree(b->ilen); b->a = (Scalar *) PetscMalloc( len ); CHKPTRQ(b->a); b->j = ajnew; b->i = ainew; for ( i=0; idiag = dloc; b->ilen = 0; b->imax = 0; b->row = isrow; b->col = iscol; 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 dloc, solve_work, new a, new j */ PLogObjectMemory(*fact,(ainew[n]-n)*(sizeof(int))+bs2*ainew[n]*sizeof(Scalar)); b->maxnz = b->nz = ainew[n]; (*fact)->factor = FACTOR_LU; return 0; }