Actual source code: sbaijfact5.c
petsc-3.4.5 2014-06-29
2: #include <../src/mat/impls/sbaij/seq/sbaij.h>
3: #include <petsc-private/kernels/blockinvert.h>
5: /*
6: Version for when blocks are 4 by 4 Using natural ordering
7: */
10: PetscErrorCode MatCholeskyFactorNumeric_SeqSBAIJ_4_NaturalOrdering(Mat C,Mat A,const MatFactorInfo *info)
11: {
12: Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data,*b = (Mat_SeqSBAIJ*)C->data;
14: PetscInt i,j,mbs=a->mbs,*bi=b->i,*bj=b->j;
15: PetscInt *ai,*aj,k,k1,jmin,jmax,*jl,*il,vj,nexti,ili;
16: MatScalar *ba = b->a,*aa,*ap,*dk,*uik;
17: MatScalar *u,*diag,*rtmp,*rtmp_ptr;
18: PetscBool pivotinblocks = b->pivotinblocks;
19: PetscReal shift = info->shiftamount;
22: /* initialization */
23: PetscMalloc(16*mbs*sizeof(MatScalar),&rtmp);
24: PetscMemzero(rtmp,16*mbs*sizeof(MatScalar));
25: PetscMalloc2(mbs,PetscInt,&il,mbs,PetscInt,&jl);
26: for (i=0; i<mbs; i++) {
27: jl[i] = mbs; il[0] = 0;
28: }
29: PetscMalloc2(16,MatScalar,&dk,16,MatScalar,&uik);
30: ai = a->i; aj = a->j; aa = a->a;
32: /* for each row k */
33: for (k = 0; k<mbs; k++) {
35: /*initialize k-th row with elements nonzero in row k of A */
36: jmin = ai[k]; jmax = ai[k+1];
37: if (jmin < jmax) {
38: ap = aa + jmin*16;
39: for (j = jmin; j < jmax; j++) {
40: vj = aj[j]; /* block col. index */
41: rtmp_ptr = rtmp + vj*16;
42: for (i=0; i<16; i++) *rtmp_ptr++ = *ap++;
43: }
44: }
46: /* modify k-th row by adding in those rows i with U(i,k) != 0 */
47: PetscMemcpy(dk,rtmp+k*16,16*sizeof(MatScalar));
48: i = jl[k]; /* first row to be added to k_th row */
50: while (i < mbs) {
51: nexti = jl[i]; /* next row to be added to k_th row */
53: /* compute multiplier */
54: ili = il[i]; /* index of first nonzero element in U(i,k:bms-1) */
56: /* uik = -inv(Di)*U_bar(i,k) */
57: diag = ba + i*16;
58: u = ba + ili*16;
60: uik[0] = -(diag[0]*u[0] + diag[4]*u[1] + diag[8]*u[2] + diag[12]*u[3]);
61: uik[1] = -(diag[1]*u[0] + diag[5]*u[1] + diag[9]*u[2] + diag[13]*u[3]);
62: uik[2] = -(diag[2]*u[0] + diag[6]*u[1] + diag[10]*u[2]+ diag[14]*u[3]);
63: uik[3] = -(diag[3]*u[0] + diag[7]*u[1] + diag[11]*u[2]+ diag[15]*u[3]);
65: uik[4] = -(diag[0]*u[4] + diag[4]*u[5] + diag[8]*u[6] + diag[12]*u[7]);
66: uik[5] = -(diag[1]*u[4] + diag[5]*u[5] + diag[9]*u[6] + diag[13]*u[7]);
67: uik[6] = -(diag[2]*u[4] + diag[6]*u[5] + diag[10]*u[6]+ diag[14]*u[7]);
68: uik[7] = -(diag[3]*u[4] + diag[7]*u[5] + diag[11]*u[6]+ diag[15]*u[7]);
70: uik[8] = -(diag[0]*u[8] + diag[4]*u[9] + diag[8]*u[10] + diag[12]*u[11]);
71: uik[9] = -(diag[1]*u[8] + diag[5]*u[9] + diag[9]*u[10] + diag[13]*u[11]);
72: uik[10]= -(diag[2]*u[8] + diag[6]*u[9] + diag[10]*u[10]+ diag[14]*u[11]);
73: uik[11]= -(diag[3]*u[8] + diag[7]*u[9] + diag[11]*u[10]+ diag[15]*u[11]);
75: uik[12]= -(diag[0]*u[12] + diag[4]*u[13] + diag[8]*u[14] + diag[12]*u[15]);
76: uik[13]= -(diag[1]*u[12] + diag[5]*u[13] + diag[9]*u[14] + diag[13]*u[15]);
77: uik[14]= -(diag[2]*u[12] + diag[6]*u[13] + diag[10]*u[14]+ diag[14]*u[15]);
78: uik[15]= -(diag[3]*u[12] + diag[7]*u[13] + diag[11]*u[14]+ diag[15]*u[15]);
80: /* update D(k) += -U(i,k)^T * U_bar(i,k) */
81: dk[0] += uik[0]*u[0] + uik[1]*u[1] + uik[2]*u[2] + uik[3]*u[3];
82: dk[1] += uik[4]*u[0] + uik[5]*u[1] + uik[6]*u[2] + uik[7]*u[3];
83: dk[2] += uik[8]*u[0] + uik[9]*u[1] + uik[10]*u[2]+ uik[11]*u[3];
84: dk[3] += uik[12]*u[0]+ uik[13]*u[1]+ uik[14]*u[2]+ uik[15]*u[3];
86: dk[4] += uik[0]*u[4] + uik[1]*u[5] + uik[2]*u[6] + uik[3]*u[7];
87: dk[5] += uik[4]*u[4] + uik[5]*u[5] + uik[6]*u[6] + uik[7]*u[7];
88: dk[6] += uik[8]*u[4] + uik[9]*u[5] + uik[10]*u[6]+ uik[11]*u[7];
89: dk[7] += uik[12]*u[4]+ uik[13]*u[5]+ uik[14]*u[6]+ uik[15]*u[7];
91: dk[8] += uik[0]*u[8] + uik[1]*u[9] + uik[2]*u[10] + uik[3]*u[11];
92: dk[9] += uik[4]*u[8] + uik[5]*u[9] + uik[6]*u[10] + uik[7]*u[11];
93: dk[10]+= uik[8]*u[8] + uik[9]*u[9] + uik[10]*u[10]+ uik[11]*u[11];
94: dk[11]+= uik[12]*u[8]+ uik[13]*u[9]+ uik[14]*u[10]+ uik[15]*u[11];
96: dk[12]+= uik[0]*u[12] + uik[1]*u[13] + uik[2]*u[14] + uik[3]*u[15];
97: dk[13]+= uik[4]*u[12] + uik[5]*u[13] + uik[6]*u[14] + uik[7]*u[15];
98: dk[14]+= uik[8]*u[12] + uik[9]*u[13] + uik[10]*u[14]+ uik[11]*u[15];
99: dk[15]+= uik[12]*u[12]+ uik[13]*u[13]+ uik[14]*u[14]+ uik[15]*u[15];
101: PetscLogFlops(64.0*4.0);
103: /* update -U(i,k) */
104: PetscMemcpy(ba+ili*16,uik,16*sizeof(MatScalar));
106: /* add multiple of row i to k-th row ... */
107: jmin = ili + 1; jmax = bi[i+1];
108: if (jmin < jmax) {
109: for (j=jmin; j<jmax; j++) {
110: /* rtmp += -U(i,k)^T * U_bar(i,j) */
111: rtmp_ptr = rtmp + bj[j]*16;
112: u = ba + j*16;
113: rtmp_ptr[0] += uik[0]*u[0] + uik[1]*u[1] + uik[2]*u[2] + uik[3]*u[3];
114: rtmp_ptr[1] += uik[4]*u[0] + uik[5]*u[1] + uik[6]*u[2] + uik[7]*u[3];
115: rtmp_ptr[2] += uik[8]*u[0] + uik[9]*u[1] + uik[10]*u[2]+ uik[11]*u[3];
116: rtmp_ptr[3] += uik[12]*u[0]+ uik[13]*u[1]+ uik[14]*u[2]+ uik[15]*u[3];
118: rtmp_ptr[4] += uik[0]*u[4] + uik[1]*u[5] + uik[2]*u[6] + uik[3]*u[7];
119: rtmp_ptr[5] += uik[4]*u[4] + uik[5]*u[5] + uik[6]*u[6] + uik[7]*u[7];
120: rtmp_ptr[6] += uik[8]*u[4] + uik[9]*u[5] + uik[10]*u[6]+ uik[11]*u[7];
121: rtmp_ptr[7] += uik[12]*u[4]+ uik[13]*u[5]+ uik[14]*u[6]+ uik[15]*u[7];
123: rtmp_ptr[8] += uik[0]*u[8] + uik[1]*u[9] + uik[2]*u[10] + uik[3]*u[11];
124: rtmp_ptr[9] += uik[4]*u[8] + uik[5]*u[9] + uik[6]*u[10] + uik[7]*u[11];
125: rtmp_ptr[10]+= uik[8]*u[8] + uik[9]*u[9] + uik[10]*u[10]+ uik[11]*u[11];
126: rtmp_ptr[11]+= uik[12]*u[8]+ uik[13]*u[9]+ uik[14]*u[10]+ uik[15]*u[11];
128: rtmp_ptr[12]+= uik[0]*u[12] + uik[1]*u[13] + uik[2]*u[14] + uik[3]*u[15];
129: rtmp_ptr[13]+= uik[4]*u[12] + uik[5]*u[13] + uik[6]*u[14] + uik[7]*u[15];
130: rtmp_ptr[14]+= uik[8]*u[12] + uik[9]*u[13] + uik[10]*u[14]+ uik[11]*u[15];
131: rtmp_ptr[15]+= uik[12]*u[12]+ uik[13]*u[13]+ uik[14]*u[14]+ uik[15]*u[15];
132: }
133: PetscLogFlops(2.0*64.0*(jmax-jmin));
135: /* ... add i to row list for next nonzero entry */
136: il[i] = jmin; /* update il(i) in column k+1, ... mbs-1 */
137: j = bj[jmin];
138: jl[i] = jl[j]; jl[j] = i; /* update jl */
139: }
140: i = nexti;
141: }
143: /* save nonzero entries in k-th row of U ... */
145: /* invert diagonal block */
146: diag = ba+k*16;
147: PetscMemcpy(diag,dk,16*sizeof(MatScalar));
148: if (pivotinblocks) {
149: PetscKernel_A_gets_inverse_A_4(diag,shift);
150: } else {
151: PetscKernel_A_gets_inverse_A_4_nopivot(diag);
152: }
154: jmin = bi[k]; jmax = bi[k+1];
155: if (jmin < jmax) {
156: for (j=jmin; j<jmax; j++) {
157: vj = bj[j]; /* block col. index of U */
158: u = ba + j*16;
159: rtmp_ptr = rtmp + vj*16;
160: for (k1=0; k1<16; k1++) {
161: *u++ = *rtmp_ptr;
162: *rtmp_ptr++ = 0.0;
163: }
164: }
166: /* ... add k to row list for first nonzero entry in k-th row */
167: il[k] = jmin;
168: i = bj[jmin];
169: jl[k] = jl[i]; jl[i] = k;
170: }
171: }
173: PetscFree(rtmp);
174: PetscFree2(il,jl);
175: PetscFree2(dk,uik);
177: C->ops->solve = MatSolve_SeqSBAIJ_4_NaturalOrdering_inplace;
178: C->ops->solvetranspose = MatSolve_SeqSBAIJ_4_NaturalOrdering_inplace;
179: C->ops->forwardsolve = MatForwardSolve_SeqSBAIJ_4_NaturalOrdering_inplace;
180: C->ops->backwardsolve = MatBackwardSolve_SeqSBAIJ_4_NaturalOrdering_inplace;
182: C->assembled = PETSC_TRUE;
183: C->preallocated = PETSC_TRUE;
185: PetscLogFlops(1.3333*64*b->mbs); /* from inverting diagonal blocks */
186: return(0);
187: }