1 2 /* 3 This is included by sbaij.c to generate unsigned short and regular versions of these two functions 4 */ 5 #undef USHORT 6 #if defined(USESHORT) 7 #define USHORT _ushort 8 #else 9 #define USHORT 10 #endif 11 #define PETSCMAP1_a(a,b) a ## b 12 #define PETSCMAP1_b(a,b) PETSCMAP1_a(a,b) 13 #define PETSCMAP1(a) PETSCMAP1_b(a,USHORT) 14 15 #undef __FUNCT__ 16 #define __FUNCT__ "MatMult_SeqSBAIJ_1" 17 PetscErrorCode PETSCMAP1(MatMult_SeqSBAIJ_1)(Mat A,Vec xx,Vec zz) 18 { 19 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 20 const PetscScalar *x; 21 PetscScalar *z,x1,sum; 22 const MatScalar *v; 23 MatScalar vj; 24 PetscErrorCode ierr; 25 PetscInt mbs=a->mbs,i,j,nz; 26 const PetscInt *ai=a->i; 27 #if defined(USESHORT) 28 const unsigned short *ib=a->jshort; 29 unsigned short ibt; 30 #else 31 const PetscInt *ib=a->j; 32 PetscInt ibt; 33 #endif 34 35 PetscFunctionBegin; 36 ierr = VecSet(zz,0.0);CHKERRQ(ierr); 37 ierr = VecGetArray(xx,(PetscScalar**)&x);CHKERRQ(ierr); 38 ierr = VecGetArray(zz,&z);CHKERRQ(ierr); 39 40 v = a->a; 41 for (i=0; i<mbs; i++) { 42 nz = ai[i+1] - ai[i]; /* length of i_th row of A */ 43 x1 = x[i]; 44 sum = v[0]*x1; /* diagonal term */ 45 for (j=1; j<nz; j++) { 46 ibt = ib[j]; 47 vj = v[j]; 48 z[ibt] += vj * x1; /* (strict lower triangular part of A)*x */ 49 sum += vj * x[ibt]; /* (strict upper triangular part of A)*x */ 50 } 51 z[i] += sum; 52 v += nz; 53 ib += nz; 54 } 55 56 ierr = VecRestoreArray(xx,(PetscScalar**)&x);CHKERRQ(ierr); 57 ierr = VecRestoreArray(zz,&z);CHKERRQ(ierr); 58 ierr = PetscLogFlops(2.0*(2.0*a->nz - mbs) - mbs);CHKERRQ(ierr); 59 PetscFunctionReturn(0); 60 } 61 62 #undef __FUNCT__ 63 #define __FUNCT__ "MatRelax_SeqSBAIJ" 64 PetscErrorCode PETSCMAP1(MatRelax_SeqSBAIJ)(Mat A,Vec bb,PetscReal omega,MatSORType flag,PetscReal fshift,PetscInt its,PetscInt lits,Vec xx) 65 { 66 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 67 const MatScalar *aa=a->a,*v,*v1,*aidiag; 68 PetscScalar *x,*t,sum; 69 const PetscScalar *b; 70 MatScalar tmp; 71 PetscErrorCode ierr; 72 PetscInt m=a->mbs,bs=A->rmap->bs,j; 73 const PetscInt *ai=a->i; 74 #if defined(USESHORT) 75 const unsigned short *aj=a->jshort,*vj,*vj1; 76 #else 77 const PetscInt *aj=a->j,*vj,*vj1; 78 #endif 79 PetscInt nz,nz1,i; 80 81 PetscFunctionBegin; 82 if (flag & SOR_EISENSTAT) SETERRQ(PETSC_ERR_SUP,"No support yet for Eisenstat"); 83 84 its = its*lits; 85 if (its <= 0) SETERRQ2(PETSC_ERR_ARG_WRONG,"Relaxation requires global its %D and local its %D both positive",its,lits); 86 87 if (bs > 1) SETERRQ(PETSC_ERR_SUP,"SSOR for block size > 1 is not yet implemented"); 88 89 ierr = VecGetArray(xx,&x);CHKERRQ(ierr); 90 if (xx != bb) { 91 ierr = VecGetArray(bb,(PetscScalar**)&b);CHKERRQ(ierr); 92 } else { 93 b = x; 94 } 95 96 if (!a->idiagvalid) { 97 if (!a->idiag) { 98 ierr = PetscMalloc(m*sizeof(PetscScalar),&a->idiag);CHKERRQ(ierr); 99 } 100 for (i=0; i<a->mbs; i++) a->idiag[i] = 1.0/a->a[a->i[i]]; 101 a->idiagvalid = PETSC_TRUE; 102 } 103 104 if (!a->relax_work) { 105 ierr = PetscMalloc(m*sizeof(PetscScalar),&a->relax_work);CHKERRQ(ierr); 106 } 107 t = a->relax_work; 108 109 aidiag = a->idiag; 110 111 if (flag == SOR_APPLY_UPPER) { 112 /* apply (U + D/omega) to the vector */ 113 PetscScalar d; 114 for (i=0; i<m; i++) { 115 d = fshift + aa[ai[i]]; 116 nz = ai[i+1] - ai[i] - 1; 117 vj = aj + ai[i] + 1; 118 v = aa + ai[i] + 1; 119 sum = b[i]*d/omega; 120 PetscSparseDensePlusDot(sum,b,v,vj,nz); 121 x[i] = sum; 122 } 123 ierr = PetscLogFlops(a->nz);CHKERRQ(ierr); 124 } 125 126 if (flag & SOR_ZERO_INITIAL_GUESS) { 127 if (flag & SOR_FORWARD_SWEEP || flag & SOR_LOCAL_FORWARD_SWEEP){ 128 ierr = PetscMemcpy(t,b,m*sizeof(PetscScalar));CHKERRQ(ierr); 129 130 v = aa + 1; 131 vj = aj + 1; 132 for (i=0; i<m; i++){ 133 nz = ai[i+1] - ai[i] - 1; 134 tmp = - (x[i] = omega*t[i]*aidiag[i]); 135 for (j=0; j<nz; j++) { 136 t[vj[j]] += tmp*v[j]; 137 } 138 v += nz + 1; 139 vj += nz + 1; 140 } 141 ierr = PetscLogFlops(2*a->nz);CHKERRQ(ierr); 142 } 143 144 if (flag & SOR_BACKWARD_SWEEP || flag & SOR_LOCAL_BACKWARD_SWEEP){ 145 int nz2; 146 if (!(flag & SOR_FORWARD_SWEEP || flag & SOR_LOCAL_FORWARD_SWEEP)){ 147 #if defined(PETSC_USE_BACKWARD_LOOP) 148 v = aa + ai[m] - 1; 149 vj = aj + ai[m] - 1; 150 for (i=m-1; i>=0; i--){ 151 sum = b[i]; 152 nz = ai[i+1] - ai[i] - 1; 153 {PetscInt __i;for(__i=0;__i<nz;__i++) sum -= v[-__i] * x[vj[-__i]];} 154 #else 155 v = aa + ai[m-1] + 1; 156 vj = aj + ai[m-1] + 1; 157 nz = 0; 158 for (i=m-1; i>=0; i--){ 159 sum = b[i]; 160 nz2 = ai[i] - ai[i-1] - 1; 161 PETSC_Prefetch(v-nz2-1,0,1); 162 PETSC_Prefetch(vj-nz2-1,0,1); 163 PetscSparseDenseMinusDot(sum,x,v,vj,nz); 164 nz = nz2; 165 #endif 166 x[i] = omega*sum*aidiag[i]; 167 v -= nz + 1; 168 vj -= nz + 1; 169 } 170 ierr = PetscLogFlops(2*a->nz);CHKERRQ(ierr); 171 } else { 172 v = aa + ai[m-1] + 1; 173 vj = aj + ai[m-1] + 1; 174 nz = 0; 175 for (i=m-1; i>=0; i--){ 176 sum = t[i]; 177 nz2 = ai[i] - ai[i-1] - 1; 178 PETSC_Prefetch(v-nz2-1,0,1); 179 PETSC_Prefetch(vj-nz2-1,0,1); 180 PetscSparseDenseMinusDot(sum,x,v,vj,nz); 181 x[i] = (1-omega)*x[i] + omega*sum*aidiag[i]; 182 nz = nz2; 183 v -= nz + 1; 184 vj -= nz + 1; 185 } 186 ierr = PetscLogFlops(2*a->nz);CHKERRQ(ierr); 187 } 188 } 189 its--; 190 } 191 192 while (its--) { 193 /* 194 forward sweep: 195 for i=0,...,m-1: 196 sum[i] = (b[i] - U(i,:)x )/d[i]; 197 x[i] = (1-omega)x[i] + omega*sum[i]; 198 b = b - x[i]*U^T(i,:); 199 200 */ 201 if (flag & SOR_FORWARD_SWEEP || flag & SOR_LOCAL_FORWARD_SWEEP){ 202 ierr = PetscMemcpy(t,b,m*sizeof(PetscScalar));CHKERRQ(ierr); 203 204 for (i=0; i<m; i++){ 205 v = aa + ai[i] + 1; v1=v; 206 vj = aj + ai[i] + 1; vj1=vj; 207 nz = ai[i+1] - ai[i] - 1; nz1=nz; 208 sum = t[i]; 209 ierr = PetscLogFlops(4.0*nz-2);CHKERRQ(ierr); 210 while (nz1--) sum -= (*v1++)*x[*vj1++]; 211 x[i] = (1-omega)*x[i] + omega*sum*aidiag[i]; 212 while (nz--) t[*vj++] -= x[i]*(*v++); 213 } 214 } 215 216 if (flag & SOR_BACKWARD_SWEEP || flag & SOR_LOCAL_BACKWARD_SWEEP){ 217 /* 218 backward sweep: 219 b = b - x[i]*U^T(i,:), i=0,...,n-2 220 for i=m-1,...,0: 221 sum[i] = (b[i] - U(i,:)x )/d[i]; 222 x[i] = (1-omega)x[i] + omega*sum[i]; 223 */ 224 /* if there was a forward sweep done above then I thing the next two for loops are not needed */ 225 ierr = PetscMemcpy(t,b,m*sizeof(PetscScalar));CHKERRQ(ierr); 226 227 for (i=0; i<m-1; i++){ /* update rhs */ 228 v = aa + ai[i] + 1; 229 vj = aj + ai[i] + 1; 230 nz = ai[i+1] - ai[i] - 1; 231 ierr = PetscLogFlops(2.0*nz-1);CHKERRQ(ierr); 232 while (nz--) t[*vj++] -= x[i]*(*v++); 233 } 234 for (i=m-1; i>=0; i--){ 235 v = aa + ai[i] + 1; 236 vj = aj + ai[i] + 1; 237 nz = ai[i+1] - ai[i] - 1; 238 ierr = PetscLogFlops(2.0*nz-1);CHKERRQ(ierr); 239 sum = t[i]; 240 while (nz--) sum -= x[*vj++]*(*v++); 241 x[i] = (1-omega)*x[i] + omega*sum*aidiag[i]; 242 } 243 } 244 } 245 246 ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr); 247 if (bb != xx) { 248 ierr = VecRestoreArray(bb,(PetscScalar**)&b);CHKERRQ(ierr); 249 } 250 PetscFunctionReturn(0); 251 } 252