Actual source code: baijsolvnat3.c
petsc-3.12.5 2020-03-29
1: #include <../src/mat/impls/baij/seq/baij.h>
2: #include <petsc/private/kernels/blockinvert.h>
4: /*
5: Special case where the matrix was ILU(0) factored in the natural
6: ordering. This eliminates the need for the column and row permutation.
7: */
8: PetscErrorCode MatSolve_SeqBAIJ_3_NaturalOrdering_inplace(Mat A,Vec bb,Vec xx)
9: {
10: Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data;
11: const PetscInt n =a->mbs,*ai=a->i,*aj=a->j;
12: PetscErrorCode ierr;
13: const PetscInt *diag = a->diag,*vi;
14: const MatScalar *aa =a->a,*v;
15: PetscScalar *x,s1,s2,s3,x1,x2,x3;
16: const PetscScalar *b;
17: PetscInt jdx,idt,idx,nz,i;
20: VecGetArrayRead(bb,&b);
21: VecGetArray(xx,&x);
23: /* forward solve the lower triangular */
24: idx = 0;
25: x[0] = b[0]; x[1] = b[1]; x[2] = b[2];
26: for (i=1; i<n; i++) {
27: v = aa + 9*ai[i];
28: vi = aj + ai[i];
29: nz = diag[i] - ai[i];
30: idx += 3;
31: s1 = b[idx];s2 = b[1+idx];s3 = b[2+idx];
32: while (nz--) {
33: jdx = 3*(*vi++);
34: x1 = x[jdx];x2 = x[1+jdx];x3 = x[2+jdx];
35: s1 -= v[0]*x1 + v[3]*x2 + v[6]*x3;
36: s2 -= v[1]*x1 + v[4]*x2 + v[7]*x3;
37: s3 -= v[2]*x1 + v[5]*x2 + v[8]*x3;
38: v += 9;
39: }
40: x[idx] = s1;
41: x[1+idx] = s2;
42: x[2+idx] = s3;
43: }
44: /* backward solve the upper triangular */
45: for (i=n-1; i>=0; i--) {
46: v = aa + 9*diag[i] + 9;
47: vi = aj + diag[i] + 1;
48: nz = ai[i+1] - diag[i] - 1;
49: idt = 3*i;
50: s1 = x[idt]; s2 = x[1+idt];
51: s3 = x[2+idt];
52: while (nz--) {
53: idx = 3*(*vi++);
54: x1 = x[idx]; x2 = x[1+idx];x3 = x[2+idx];
55: s1 -= v[0]*x1 + v[3]*x2 + v[6]*x3;
56: s2 -= v[1]*x1 + v[4]*x2 + v[7]*x3;
57: s3 -= v[2]*x1 + v[5]*x2 + v[8]*x3;
58: v += 9;
59: }
60: v = aa + 9*diag[i];
61: x[idt] = v[0]*s1 + v[3]*s2 + v[6]*s3;
62: x[1+idt] = v[1]*s1 + v[4]*s2 + v[7]*s3;
63: x[2+idt] = v[2]*s1 + v[5]*s2 + v[8]*s3;
64: }
66: VecRestoreArrayRead(bb,&b);
67: VecRestoreArray(xx,&x);
68: PetscLogFlops(2.0*9*(a->nz) - 3.0*A->cmap->n);
69: return(0);
70: }
72: PetscErrorCode MatSolve_SeqBAIJ_3_NaturalOrdering(Mat A,Vec bb,Vec xx)
73: {
74: Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data;
75: const PetscInt n =a->mbs,*vi,*ai=a->i,*aj=a->j,*adiag=a->diag;
76: PetscErrorCode ierr;
77: PetscInt i,k,nz,idx,jdx,idt;
78: const PetscInt bs = A->rmap->bs,bs2 = a->bs2;
79: const MatScalar *aa=a->a,*v;
80: PetscScalar *x;
81: const PetscScalar *b;
82: PetscScalar s1,s2,s3,x1,x2,x3;
85: VecGetArrayRead(bb,&b);
86: VecGetArray(xx,&x);
87: /* forward solve the lower triangular */
88: idx = 0;
89: x[0] = b[idx]; x[1] = b[1+idx];x[2] = b[2+idx];
90: for (i=1; i<n; i++) {
91: v = aa + bs2*ai[i];
92: vi = aj + ai[i];
93: nz = ai[i+1] - ai[i];
94: idx = bs*i;
95: s1 = b[idx];s2 = b[1+idx];s3 = b[2+idx];
96: for (k=0; k<nz; k++) {
97: jdx = bs*vi[k];
98: x1 = x[jdx];x2 = x[1+jdx]; x3 =x[2+jdx];
99: s1 -= v[0]*x1 + v[3]*x2 + v[6]*x3;
100: s2 -= v[1]*x1 + v[4]*x2 + v[7]*x3;
101: s3 -= v[2]*x1 + v[5]*x2 + v[8]*x3;
103: v += bs2;
104: }
106: x[idx] = s1;
107: x[1+idx] = s2;
108: x[2+idx] = s3;
109: }
111: /* backward solve the upper triangular */
112: for (i=n-1; i>=0; i--) {
113: v = aa + bs2*(adiag[i+1]+1);
114: vi = aj + adiag[i+1]+1;
115: nz = adiag[i] - adiag[i+1]-1;
116: idt = bs*i;
117: s1 = x[idt]; s2 = x[1+idt];s3 = x[2+idt];
119: for (k=0; k<nz; k++) {
120: idx = bs*vi[k];
121: x1 = x[idx]; x2 = x[1+idx]; x3 = x[2+idx];
122: s1 -= v[0]*x1 + v[3]*x2 + v[6]*x3;
123: s2 -= v[1]*x1 + v[4]*x2 + v[7]*x3;
124: s3 -= v[2]*x1 + v[5]*x2 + v[8]*x3;
126: v += bs2;
127: }
128: /* x = inv_diagonal*x */
129: x[idt] = v[0]*s1 + v[3]*s2 + v[6]*s3;
130: x[1+idt] = v[1]*s1 + v[4]*s2 + v[7]*s3;
131: x[2+idt] = v[2]*s1 + v[5]*s2 + v[8]*s3;
133: }
135: VecRestoreArrayRead(bb,&b);
136: VecRestoreArray(xx,&x);
137: PetscLogFlops(2.0*bs2*(a->nz) - bs*A->cmap->n);
138: return(0);
139: }
141: PetscErrorCode MatForwardSolve_SeqBAIJ_3_NaturalOrdering(Mat A,Vec bb,Vec xx)
142: {
143: Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data;
144: const PetscInt n =a->mbs,*vi,*ai=a->i,*aj=a->j;
145: PetscErrorCode ierr;
146: PetscInt i,k,nz,idx,jdx;
147: const PetscInt bs = A->rmap->bs,bs2 = a->bs2;
148: const MatScalar *aa=a->a,*v;
149: PetscScalar *x;
150: const PetscScalar *b;
151: PetscScalar s1,s2,s3,x1,x2,x3;
154: VecGetArrayRead(bb,&b);
155: VecGetArray(xx,&x);
156: /* forward solve the lower triangular */
157: idx = 0;
158: x[0] = b[idx]; x[1] = b[1+idx];x[2] = b[2+idx];
159: for (i=1; i<n; i++) {
160: v = aa + bs2*ai[i];
161: vi = aj + ai[i];
162: nz = ai[i+1] - ai[i];
163: idx = bs*i;
164: s1 = b[idx];s2 = b[1+idx];s3 = b[2+idx];
165: for (k=0; k<nz; k++) {
166: jdx = bs*vi[k];
167: x1 = x[jdx];x2 = x[1+jdx]; x3 =x[2+jdx];
168: s1 -= v[0]*x1 + v[3]*x2 + v[6]*x3;
169: s2 -= v[1]*x1 + v[4]*x2 + v[7]*x3;
170: s3 -= v[2]*x1 + v[5]*x2 + v[8]*x3;
172: v += bs2;
173: }
175: x[idx] = s1;
176: x[1+idx] = s2;
177: x[2+idx] = s3;
178: }
180: VecRestoreArrayRead(bb,&b);
181: VecRestoreArray(xx,&x);
182: PetscLogFlops(1.0*bs2*(a->nz) - bs*A->cmap->n);
183: return(0);
184: }
187: PetscErrorCode MatBackwardSolve_SeqBAIJ_3_NaturalOrdering(Mat A,Vec bb,Vec xx)
188: {
189: Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data;
190: const PetscInt n =a->mbs,*vi,*aj=a->j,*adiag=a->diag;
191: PetscErrorCode ierr;
192: PetscInt i,k,nz,idx,idt;
193: const PetscInt bs = A->rmap->bs,bs2 = a->bs2;
194: const MatScalar *aa=a->a,*v;
195: PetscScalar *x;
196: const PetscScalar *b;
197: PetscScalar s1,s2,s3,x1,x2,x3;
200: VecGetArrayRead(bb,&b);
201: VecGetArray(xx,&x);
203: /* backward solve the upper triangular */
204: for (i=n-1; i>=0; i--) {
205: v = aa + bs2*(adiag[i+1]+1);
206: vi = aj + adiag[i+1]+1;
207: nz = adiag[i] - adiag[i+1]-1;
208: idt = bs*i;
209: s1 = b[idt]; s2 = b[1+idt];s3 = b[2+idt];
211: for (k=0; k<nz; k++) {
212: idx = bs*vi[k];
213: x1 = x[idx]; x2 = x[1+idx]; x3 = x[2+idx];
214: s1 -= v[0]*x1 + v[3]*x2 + v[6]*x3;
215: s2 -= v[1]*x1 + v[4]*x2 + v[7]*x3;
216: s3 -= v[2]*x1 + v[5]*x2 + v[8]*x3;
218: v += bs2;
219: }
220: /* x = inv_diagonal*x */
221: x[idt] = v[0]*s1 + v[3]*s2 + v[6]*s3;
222: x[1+idt] = v[1]*s1 + v[4]*s2 + v[7]*s3;
223: x[2+idt] = v[2]*s1 + v[5]*s2 + v[8]*s3;
225: }
227: VecRestoreArrayRead(bb,&b);
228: VecRestoreArray(xx,&x);
229: PetscLogFlops(2.0*bs2*(a->nz) - bs*A->cmap->n);
230: return(0);
231: }