1 2 #if !defined(__AIJ_H) 3 #define __AIJ_H 4 5 #include <petsc-private/matimpl.h> 6 7 /* 8 Struct header shared by SeqAIJ, SeqBAIJ and SeqSBAIJ matrix formats 9 */ 10 #define SEQAIJHEADER(datatype) \ 11 PetscBool roworiented; /* if true, row-oriented input, default */ \ 12 PetscInt nonew; /* 1 don't add new nonzeros, -1 generate error on new */ \ 13 PetscInt nounused; /* -1 generate error on unused space */ \ 14 PetscBool singlemalloc; /* if true a, i, and j have been obtained with one big malloc */ \ 15 PetscInt maxnz; /* allocated nonzeros */ \ 16 PetscInt *imax; /* maximum space allocated for each row */ \ 17 PetscInt *ilen; /* actual length of each row */ \ 18 PetscBool free_imax_ilen; \ 19 PetscInt reallocs; /* number of mallocs done during MatSetValues() \ 20 as more values are set than were prealloced */\ 21 PetscInt rmax; /* max nonzeros in any row */ \ 22 PetscBool keepnonzeropattern; /* keeps matrix structure same in calls to MatZeroRows()*/ \ 23 PetscBool ignorezeroentries; \ 24 PetscBool free_ij; /* free the column indices j and row offsets i when the matrix is destroyed */ \ 25 PetscBool free_a; /* free the numerical values when matrix is destroy */ \ 26 Mat_CompressedRow compressedrow; /* use compressed row format */ \ 27 PetscInt nz; /* nonzeros */ \ 28 PetscInt *i; /* pointer to beginning of each row */ \ 29 PetscInt *j; /* column values: j + i[k] - 1 is start of row k */ \ 30 PetscInt *diag; /* pointers to diagonal elements */ \ 31 PetscInt nonzerorowcnt; /* how many rows have nonzero entries */ \ 32 PetscBool free_diag; \ 33 datatype *a; /* nonzero elements */ \ 34 PetscScalar *solve_work; /* work space used in MatSolve */ \ 35 IS row, col, icol; /* index sets, used for reorderings */ \ 36 PetscBool pivotinblocks; /* pivot inside factorization of each diagonal block */ \ 37 Mat parent /* set if this matrix was formed with MatDuplicate(...,MAT_SHARE_NONZERO_PATTERN,....); 38 means that this shares some data structures with the parent including diag, ilen, imax, i, j */ 39 40 typedef struct { 41 MatTransposeColoring matcoloring; 42 Mat Bt_den; /* dense matrix of B^T */ 43 Mat ABt_den; /* dense matrix of A*B^T */ 44 PetscBool usecoloring; 45 PetscErrorCode (*destroy)(Mat); 46 } Mat_MatMatTransMult; 47 48 typedef struct { /* for MatTransposeMatMult_SeqAIJ_SeqDense() */ 49 Mat mA; /* maij matrix of A */ 50 Vec bt,ct; /* vectors to hold locally transposed arrays of B and C */ 51 PetscErrorCode (*destroy)(Mat); 52 } Mat_MatTransMatMult; 53 54 typedef struct { 55 PetscInt *api,*apj; /* symbolic structure of A*P */ 56 PetscScalar *apa; /* temporary array for storing one row of A*P */ 57 PetscErrorCode (*destroy)(Mat); 58 } Mat_PtAP; 59 60 typedef struct { 61 MatTransposeColoring matcoloring; 62 Mat Rt; /* sparse or dense matrix of R^T */ 63 Mat RARt; /* dense matrix of R*A*R^T */ 64 Mat ARt; /* A*R^T used for the case -matrart_color_art */ 65 MatScalar *work; /* work array to store columns of A*R^T used in MatMatMatMultNumeric_SeqAIJ_SeqAIJ_SeqDense() */ 66 PetscErrorCode (*destroy)(Mat); 67 } Mat_RARt; 68 69 typedef struct { 70 Mat BC; /* temp matrix for storing B*C */ 71 PetscErrorCode (*destroy)(Mat); 72 } Mat_MatMatMatMult; 73 74 /* 75 MATSEQAIJ format - Compressed row storage (also called Yale sparse matrix 76 format) or compressed sparse row (CSR). The i[] and j[] arrays start at 0. For example, 77 j[i[k]+p] is the pth column in row k. Note that the diagonal 78 matrix elements are stored with the rest of the nonzeros (not separately). 79 */ 80 81 /* Info about i-nodes (identical nodes) helper class for SeqAIJ */ 82 typedef struct { 83 MatScalar *bdiag,*ibdiag,*ssor_work; /* diagonal blocks of matrix used for MatSOR_SeqAIJ_Inode() */ 84 PetscInt bdiagsize; /* length of bdiag and ibdiag */ 85 PetscBool ibdiagvalid; /* do ibdiag[] and bdiag[] contain the most recent values */ 86 87 PetscBool use; 88 PetscInt node_count; /* number of inodes */ 89 PetscInt *size; /* size of each inode */ 90 PetscInt limit; /* inode limit */ 91 PetscInt max_limit; /* maximum supported inode limit */ 92 PetscBool checked; /* if inodes have been checked for */ 93 } Mat_SeqAIJ_Inode; 94 95 PETSC_INTERN PetscErrorCode MatView_SeqAIJ_Inode(Mat,PetscViewer); 96 PETSC_INTERN PetscErrorCode MatAssemblyEnd_SeqAIJ_Inode(Mat,MatAssemblyType); 97 PETSC_INTERN PetscErrorCode MatDestroy_SeqAIJ_Inode(Mat); 98 PETSC_INTERN PetscErrorCode MatCreate_SeqAIJ_Inode(Mat); 99 PETSC_INTERN PetscErrorCode MatSetOption_SeqAIJ_Inode(Mat,MatOption,PetscBool); 100 PETSC_INTERN PetscErrorCode MatDuplicate_SeqAIJ_Inode(Mat,MatDuplicateOption,Mat*); 101 PETSC_INTERN PetscErrorCode MatDuplicateNoCreate_SeqAIJ(Mat,Mat,MatDuplicateOption,PetscBool); 102 PETSC_INTERN PetscErrorCode MatLUFactorNumeric_SeqAIJ_Inode_inplace(Mat,Mat,const MatFactorInfo*); 103 PETSC_INTERN PetscErrorCode MatLUFactorNumeric_SeqAIJ_Inode(Mat,Mat,const MatFactorInfo*); 104 105 typedef struct { 106 SEQAIJHEADER(MatScalar); 107 Mat_SeqAIJ_Inode inode; 108 MatScalar *saved_values; /* location for stashing nonzero values of matrix */ 109 110 PetscScalar *idiag,*mdiag,*ssor_work; /* inverse of diagonal entries, diagonal values and workspace for Eisenstat trick */ 111 PetscBool idiagvalid; /* current idiag[] and mdiag[] are valid */ 112 PetscScalar *ibdiag; /* inverses of block diagonals */ 113 PetscBool ibdiagvalid; /* inverses of block diagonals are valid. */ 114 PetscScalar fshift,omega; /* last used omega and fshift */ 115 116 ISColoring coloring; /* set with MatADSetColoring() used by MatADSetValues() */ 117 118 PetscScalar *matmult_abdense; /* used by MatMatMult() */ 119 Mat_PtAP *ptap; /* used by MatPtAP() */ 120 Mat_MatMatMatMult *matmatmatmult; /* used by MatMatMatMult() */ 121 Mat_RARt *rart; /* used by MatRARt() */ 122 Mat_MatMatTransMult *abt; /* used by MatMatTransposeMult() */ 123 } Mat_SeqAIJ; 124 125 /* 126 Frees the a, i, and j arrays from the XAIJ (AIJ, BAIJ, and SBAIJ) matrix types 127 */ 128 #undef __FUNCT__ 129 #define __FUNCT__ "MatSeqXAIJFreeAIJ" 130 PETSC_STATIC_INLINE PetscErrorCode MatSeqXAIJFreeAIJ(Mat AA,MatScalar **a,PetscInt **j,PetscInt **i) 131 { 132 PetscErrorCode ierr; 133 Mat_SeqAIJ *A = (Mat_SeqAIJ*) AA->data; 134 if (A->singlemalloc) { 135 ierr = PetscFree3(*a,*j,*i);CHKERRQ(ierr); 136 } else { 137 if (A->free_a) {ierr = PetscFree(*a);CHKERRQ(ierr);} 138 if (A->free_ij) {ierr = PetscFree(*j);CHKERRQ(ierr);} 139 if (A->free_ij) {ierr = PetscFree(*i);CHKERRQ(ierr);} 140 } 141 return 0; 142 } 143 /* 144 Allocates larger a, i, and j arrays for the XAIJ (AIJ, BAIJ, and SBAIJ) matrix types 145 This is a macro because it takes the datatype as an argument which can be either a Mat or a MatScalar 146 */ 147 #define MatSeqXAIJReallocateAIJ(Amat,AM,BS2,NROW,ROW,COL,RMAX,AA,AI,AJ,RP,AP,AIMAX,NONEW,datatype) \ 148 if (NROW >= RMAX) { \ 149 Mat_SeqAIJ *Ain = (Mat_SeqAIJ*)Amat->data; \ 150 /* there is no extra room in row, therefore enlarge */ \ 151 PetscInt CHUNKSIZE = 15,new_nz = AI[AM] + CHUNKSIZE,len,*new_i=0,*new_j=0; \ 152 datatype *new_a; \ 153 \ 154 if (NONEW == -2) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"New nonzero at (%D,%D) caused a malloc\nUse MatSetOption(A, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE) to turn off this check",ROW,COL); \ 155 /* malloc new storage space */ \ 156 ierr = PetscMalloc3(BS2*new_nz,&new_a,new_nz,&new_j,AM+1,&new_i);CHKERRQ(ierr); \ 157 \ 158 /* copy over old data into new slots */ \ 159 for (ii=0; ii<ROW+1; ii++) {new_i[ii] = AI[ii];} \ 160 for (ii=ROW+1; ii<AM+1; ii++) {new_i[ii] = AI[ii]+CHUNKSIZE;} \ 161 ierr = PetscMemcpy(new_j,AJ,(AI[ROW]+NROW)*sizeof(PetscInt));CHKERRQ(ierr); \ 162 len = (new_nz - CHUNKSIZE - AI[ROW] - NROW); \ 163 ierr = PetscMemcpy(new_j+AI[ROW]+NROW+CHUNKSIZE,AJ+AI[ROW]+NROW,len*sizeof(PetscInt));CHKERRQ(ierr); \ 164 ierr = PetscMemcpy(new_a,AA,BS2*(AI[ROW]+NROW)*sizeof(datatype));CHKERRQ(ierr); \ 165 ierr = PetscMemzero(new_a+BS2*(AI[ROW]+NROW),BS2*CHUNKSIZE*sizeof(datatype));CHKERRQ(ierr); \ 166 ierr = PetscMemcpy(new_a+BS2*(AI[ROW]+NROW+CHUNKSIZE),AA+BS2*(AI[ROW]+NROW),BS2*len*sizeof(datatype));CHKERRQ(ierr); \ 167 /* free up old matrix storage */ \ 168 ierr = MatSeqXAIJFreeAIJ(A,&Ain->a,&Ain->j,&Ain->i);CHKERRQ(ierr); \ 169 AA = new_a; \ 170 Ain->a = (MatScalar*) new_a; \ 171 AI = Ain->i = new_i; AJ = Ain->j = new_j; \ 172 Ain->singlemalloc = PETSC_TRUE; \ 173 \ 174 RP = AJ + AI[ROW]; AP = AA + BS2*AI[ROW]; \ 175 RMAX = AIMAX[ROW] = AIMAX[ROW] + CHUNKSIZE; \ 176 Ain->maxnz += BS2*CHUNKSIZE; \ 177 Ain->reallocs++; \ 178 } \ 179 180 181 PETSC_EXTERN PetscErrorCode MatSeqAIJSetPreallocation_SeqAIJ(Mat,PetscInt,const PetscInt*); 182 PETSC_INTERN PetscErrorCode MatILUFactorSymbolic_SeqAIJ_inplace(Mat,Mat,IS,IS,const MatFactorInfo*); 183 PETSC_INTERN PetscErrorCode MatILUFactorSymbolic_SeqAIJ(Mat,Mat,IS,IS,const MatFactorInfo*); 184 PETSC_INTERN PetscErrorCode MatILUFactorSymbolic_SeqAIJ_ilu0(Mat,Mat,IS,IS,const MatFactorInfo*); 185 186 PETSC_INTERN PetscErrorCode MatICCFactorSymbolic_SeqAIJ_inplace(Mat,Mat,IS,const MatFactorInfo*); 187 PETSC_INTERN PetscErrorCode MatICCFactorSymbolic_SeqAIJ(Mat,Mat,IS,const MatFactorInfo*); 188 PETSC_INTERN PetscErrorCode MatCholeskyFactorSymbolic_SeqAIJ_inplace(Mat,Mat,IS,const MatFactorInfo*); 189 PETSC_INTERN PetscErrorCode MatCholeskyFactorSymbolic_SeqAIJ(Mat,Mat,IS,const MatFactorInfo*); 190 PETSC_INTERN PetscErrorCode MatCholeskyFactorNumeric_SeqAIJ_inplace(Mat,Mat,const MatFactorInfo*); 191 PETSC_INTERN PetscErrorCode MatCholeskyFactorNumeric_SeqAIJ(Mat,Mat,const MatFactorInfo*); 192 PETSC_INTERN PetscErrorCode MatDuplicate_SeqAIJ(Mat,MatDuplicateOption,Mat*); 193 PETSC_INTERN PetscErrorCode MatCopy_SeqAIJ(Mat,Mat,MatStructure); 194 PETSC_INTERN PetscErrorCode MatMissingDiagonal_SeqAIJ(Mat,PetscBool*,PetscInt*); 195 PETSC_INTERN PetscErrorCode MatMarkDiagonal_SeqAIJ(Mat); 196 PETSC_INTERN PetscErrorCode MatFindZeroDiagonals_SeqAIJ_Private(Mat,PetscInt*,PetscInt**); 197 198 PETSC_INTERN PetscErrorCode MatMult_SeqAIJ(Mat A,Vec,Vec); 199 PETSC_INTERN PetscErrorCode MatMultAdd_SeqAIJ(Mat A,Vec,Vec,Vec); 200 PETSC_INTERN PetscErrorCode MatMultTranspose_SeqAIJ(Mat A,Vec,Vec); 201 PETSC_INTERN PetscErrorCode MatMultTransposeAdd_SeqAIJ(Mat A,Vec,Vec,Vec); 202 PETSC_INTERN PetscErrorCode MatSOR_SeqAIJ(Mat,Vec,PetscReal,MatSORType,PetscReal,PetscInt,PetscInt,Vec); 203 204 PETSC_INTERN PetscErrorCode MatSetOption_SeqAIJ(Mat,MatOption,PetscBool); 205 PETSC_INTERN PetscErrorCode MatSetColoring_SeqAIJ(Mat,ISColoring); 206 PETSC_INTERN PetscErrorCode MatSetValuesAdifor_SeqAIJ(Mat,PetscInt,void*); 207 208 PETSC_INTERN PetscErrorCode MatGetSymbolicTranspose_SeqAIJ(Mat,PetscInt *[],PetscInt *[]); 209 PETSC_INTERN PetscErrorCode MatGetSymbolicTransposeReduced_SeqAIJ(Mat,PetscInt,PetscInt,PetscInt *[],PetscInt *[]); 210 PETSC_INTERN PetscErrorCode MatRestoreSymbolicTranspose_SeqAIJ(Mat,PetscInt *[],PetscInt *[]); 211 PETSC_INTERN PetscErrorCode MatTransposeSymbolic_SeqAIJ(Mat,Mat*); 212 PETSC_INTERN PetscErrorCode MatTranspose_SeqAIJ(Mat,MatReuse,Mat*); 213 PETSC_INTERN PetscErrorCode MatToSymmetricIJ_SeqAIJ(PetscInt,PetscInt*,PetscInt*,PetscInt,PetscInt,PetscInt**,PetscInt**); 214 PETSC_INTERN PetscErrorCode MatLUFactorSymbolic_SeqAIJ_inplace(Mat,Mat,IS,IS,const MatFactorInfo*); 215 PETSC_INTERN PetscErrorCode MatLUFactorSymbolic_SeqAIJ(Mat,Mat,IS,IS,const MatFactorInfo*); 216 PETSC_INTERN PetscErrorCode MatLUFactorNumeric_SeqAIJ_inplace(Mat,Mat,const MatFactorInfo*); 217 PETSC_INTERN PetscErrorCode MatLUFactorNumeric_SeqAIJ(Mat,Mat,const MatFactorInfo*); 218 PETSC_INTERN PetscErrorCode MatLUFactorNumeric_SeqAIJ_InplaceWithPerm(Mat,Mat,const MatFactorInfo*); 219 PETSC_INTERN PetscErrorCode MatLUFactor_SeqAIJ(Mat,IS,IS,const MatFactorInfo*); 220 PETSC_INTERN PetscErrorCode MatSolve_SeqAIJ_inplace(Mat,Vec,Vec); 221 PETSC_INTERN PetscErrorCode MatSolve_SeqAIJ(Mat,Vec,Vec); 222 PETSC_INTERN PetscErrorCode MatSolve_SeqAIJ_Inode_inplace(Mat,Vec,Vec); 223 PETSC_INTERN PetscErrorCode MatSolve_SeqAIJ_Inode(Mat,Vec,Vec); 224 PETSC_INTERN PetscErrorCode MatSolve_SeqAIJ_NaturalOrdering_inplace(Mat,Vec,Vec); 225 PETSC_INTERN PetscErrorCode MatSolve_SeqAIJ_NaturalOrdering(Mat,Vec,Vec); 226 PETSC_INTERN PetscErrorCode MatSolve_SeqAIJ_InplaceWithPerm(Mat,Vec,Vec); 227 PETSC_INTERN PetscErrorCode MatSolveAdd_SeqAIJ_inplace(Mat,Vec,Vec,Vec); 228 PETSC_INTERN PetscErrorCode MatSolveAdd_SeqAIJ(Mat,Vec,Vec,Vec); 229 PETSC_INTERN PetscErrorCode MatSolveTranspose_SeqAIJ_inplace(Mat,Vec,Vec); 230 PETSC_INTERN PetscErrorCode MatSolveTranspose_SeqAIJ(Mat,Vec,Vec); 231 PETSC_INTERN PetscErrorCode MatSolveTransposeAdd_SeqAIJ_inplace(Mat,Vec,Vec,Vec); 232 PETSC_INTERN PetscErrorCode MatSolveTransposeAdd_SeqAIJ(Mat,Vec,Vec,Vec); 233 PETSC_INTERN PetscErrorCode MatMatSolve_SeqAIJ_inplace(Mat,Mat,Mat); 234 PETSC_INTERN PetscErrorCode MatMatSolve_SeqAIJ(Mat,Mat,Mat); 235 PETSC_INTERN PetscErrorCode MatEqual_SeqAIJ(Mat,Mat,PetscBool*); 236 PETSC_INTERN PetscErrorCode MatFDColoringCreate_SeqXAIJ(Mat,ISColoring,MatFDColoring); 237 PETSC_INTERN PetscErrorCode MatFDColoringSetUp_SeqXAIJ(Mat,ISColoring,MatFDColoring); 238 PETSC_INTERN PetscErrorCode MatFDColoringSetUpBlocked_AIJ_Private(Mat,MatFDColoring,PetscInt); 239 PETSC_INTERN PetscErrorCode MatFDColoringApply_AIJ(Mat,MatFDColoring,Vec,void*); 240 PETSC_INTERN PetscErrorCode MatLoad_SeqAIJ(Mat,PetscViewer); 241 PETSC_INTERN PetscErrorCode RegisterApplyPtAPRoutines_Private(Mat); 242 243 PETSC_INTERN PetscErrorCode MatMatMult_SeqAIJ_SeqAIJ(Mat,Mat,MatReuse,PetscReal,Mat*); 244 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_SeqAIJ_SeqAIJ(Mat,Mat,PetscReal,Mat*); 245 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_SeqAIJ_SeqAIJ_Scalable(Mat,Mat,PetscReal,Mat*); 246 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_SeqAIJ_SeqAIJ_Scalable_fast(Mat,Mat,PetscReal,Mat*); 247 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_SeqAIJ_SeqAIJ_Heap(Mat,Mat,PetscReal,Mat*); 248 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_SeqAIJ_SeqAIJ_BTHeap(Mat,Mat,PetscReal,Mat*); 249 PETSC_INTERN PetscErrorCode MatMatMultNumeric_SeqAIJ_SeqAIJ(Mat,Mat,Mat); 250 PETSC_INTERN PetscErrorCode MatMatMultNumeric_SeqAIJ_SeqAIJ_Scalable(Mat,Mat,Mat); 251 252 PETSC_INTERN PetscErrorCode MatPtAP_SeqAIJ_SeqAIJ(Mat,Mat,MatReuse,PetscReal,Mat*); 253 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_SeqAIJ_SeqAIJ_DenseAxpy(Mat,Mat,PetscReal,Mat*); 254 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_SeqAIJ_SeqAIJ_SparseAxpy(Mat,Mat,PetscReal,Mat*); 255 PETSC_INTERN PetscErrorCode MatPtAPNumeric_SeqAIJ_SeqAIJ(Mat,Mat,Mat); 256 PETSC_INTERN PetscErrorCode MatPtAPNumeric_SeqAIJ_SeqAIJ_SparseAxpy(Mat,Mat,Mat); 257 258 PETSC_INTERN PetscErrorCode MatRARtSymbolic_SeqAIJ_SeqAIJ(Mat,Mat,PetscReal,Mat*); 259 PETSC_INTERN PetscErrorCode MatRARtSymbolic_SeqAIJ_SeqAIJ_matmattransposemult(Mat,Mat,PetscReal,Mat*); 260 PETSC_INTERN PetscErrorCode MatRARtSymbolic_SeqAIJ_SeqAIJ_colorrart(Mat,Mat,PetscReal,Mat*); 261 PETSC_INTERN PetscErrorCode MatRARtNumeric_SeqAIJ_SeqAIJ(Mat,Mat,Mat); 262 PETSC_INTERN PetscErrorCode MatRARtNumeric_SeqAIJ_SeqAIJ_matmattransposemult(Mat,Mat,Mat); 263 PETSC_INTERN PetscErrorCode MatRARtNumeric_SeqAIJ_SeqAIJ_colorrart(Mat,Mat,Mat); 264 265 PETSC_INTERN PetscErrorCode MatTransposeMatMult_SeqAIJ_SeqAIJ(Mat,Mat,MatReuse,PetscReal,Mat*); 266 PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_SeqAIJ_SeqAIJ(Mat,Mat,PetscReal,Mat*); 267 PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_SeqAIJ_SeqAIJ(Mat,Mat,Mat); 268 269 PETSC_INTERN PetscErrorCode MatTransposeMatMult_SeqAIJ_SeqDense(Mat,Mat,MatReuse,PetscReal,Mat*); 270 PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_SeqAIJ_SeqDense(Mat,Mat,PetscReal,Mat*); 271 PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_SeqAIJ_SeqDense(Mat,Mat,Mat); 272 273 PETSC_INTERN PetscErrorCode MatMatTransposeMult_SeqAIJ_SeqAIJ(Mat,Mat,MatReuse,PetscReal,Mat*); 274 PETSC_INTERN PetscErrorCode MatMatTransposeMultSymbolic_SeqAIJ_SeqAIJ(Mat,Mat,PetscReal,Mat*); 275 PETSC_INTERN PetscErrorCode MatMatTransposeMultNumeric_SeqAIJ_SeqAIJ(Mat,Mat,Mat); 276 PETSC_INTERN PetscErrorCode MatTransposeColoringCreate_SeqAIJ(Mat,ISColoring,MatTransposeColoring); 277 PETSC_INTERN PetscErrorCode MatTransColoringApplySpToDen_SeqAIJ(MatTransposeColoring,Mat,Mat); 278 PETSC_INTERN PetscErrorCode MatTransColoringApplyDenToSp_SeqAIJ(MatTransposeColoring,Mat,Mat); 279 280 PETSC_INTERN PetscErrorCode MatMatMatMult_SeqAIJ_SeqAIJ_SeqAIJ(Mat,Mat,Mat,MatReuse,PetscReal,Mat*); 281 PETSC_INTERN PetscErrorCode MatMatMatMultSymbolic_SeqAIJ_SeqAIJ_SeqAIJ(Mat,Mat,Mat,PetscReal,Mat*); 282 PETSC_INTERN PetscErrorCode MatMatMatMultNumeric_SeqAIJ_SeqAIJ_SeqAIJ(Mat,Mat,Mat,Mat); 283 284 PETSC_INTERN PetscErrorCode MatSetValues_SeqAIJ(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar[],InsertMode); 285 PETSC_INTERN PetscErrorCode MatGetRow_SeqAIJ(Mat,PetscInt,PetscInt*,PetscInt**,PetscScalar**); 286 PETSC_INTERN PetscErrorCode MatRestoreRow_SeqAIJ(Mat,PetscInt,PetscInt*,PetscInt**,PetscScalar**); 287 PETSC_INTERN PetscErrorCode MatAXPY_SeqAIJ(Mat,PetscScalar,Mat,MatStructure); 288 PETSC_INTERN PetscErrorCode MatGetRowIJ_SeqAIJ(Mat,PetscInt,PetscBool,PetscBool,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool*); 289 PETSC_INTERN PetscErrorCode MatRestoreRowIJ_SeqAIJ(Mat,PetscInt,PetscBool,PetscBool,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool*); 290 PETSC_INTERN PetscErrorCode MatGetColumnIJ_SeqAIJ(Mat,PetscInt,PetscBool,PetscBool,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool*); 291 PETSC_INTERN PetscErrorCode MatRestoreColumnIJ_SeqAIJ(Mat,PetscInt,PetscBool,PetscBool,PetscInt*,const PetscInt *[],const PetscInt *[],PetscBool*); 292 PETSC_INTERN PetscErrorCode MatGetColumnIJ_SeqAIJ_Color(Mat,PetscInt,PetscBool,PetscBool,PetscInt*,const PetscInt *[],const PetscInt *[],PetscInt *[],PetscBool*); 293 PETSC_INTERN PetscErrorCode MatRestoreColumnIJ_SeqAIJ_Color(Mat,PetscInt,PetscBool,PetscBool,PetscInt*,const PetscInt *[],const PetscInt *[],PetscInt *[],PetscBool*); 294 PETSC_INTERN PetscErrorCode MatDestroy_SeqAIJ(Mat); 295 PETSC_INTERN PetscErrorCode MatSetUp_SeqAIJ(Mat); 296 PETSC_INTERN PetscErrorCode MatView_SeqAIJ(Mat,PetscViewer); 297 298 PETSC_INTERN PetscErrorCode MatSeqAIJInvalidateDiagonal(Mat); 299 PETSC_INTERN PetscErrorCode MatSeqAIJInvalidateDiagonal_Inode(Mat); 300 PETSC_INTERN PetscErrorCode Mat_CheckInode(Mat,PetscBool); 301 PETSC_INTERN PetscErrorCode Mat_CheckInode_FactorLU(Mat); 302 303 PETSC_INTERN PetscErrorCode MatAXPYGetPreallocation_SeqAIJ(Mat,Mat,PetscInt*); 304 305 PETSC_EXTERN PetscErrorCode MatConvert_SeqAIJ_SeqSBAIJ(Mat,MatType,MatReuse,Mat*); 306 PETSC_EXTERN PetscErrorCode MatConvert_SeqAIJ_SeqBAIJ(Mat,MatType,MatReuse,Mat*); 307 PETSC_EXTERN PetscErrorCode MatConvert_SeqAIJ_SeqAIJPERM(Mat,MatType,MatReuse,Mat*); 308 PETSC_INTERN PetscErrorCode MatReorderForNonzeroDiagonal_SeqAIJ(Mat,PetscReal,IS,IS); 309 PETSC_INTERN PetscErrorCode MatMatMult_SeqDense_SeqAIJ(Mat,Mat,MatReuse,PetscReal,Mat*); 310 PETSC_INTERN PetscErrorCode MatRARt_SeqAIJ_SeqAIJ(Mat,Mat,MatReuse,PetscReal,Mat*); 311 PETSC_EXTERN PetscErrorCode MatCreate_SeqAIJ(Mat); 312 PETSC_INTERN PetscErrorCode MatAssemblyEnd_SeqAIJ(Mat,MatAssemblyType); 313 PETSC_INTERN PetscErrorCode MatDestroy_SeqAIJ(Mat); 314 315 PETSC_INTERN PetscErrorCode MatAXPYGetPreallocation_SeqX_private(PetscInt,const PetscInt*,const PetscInt*,const PetscInt*,const PetscInt*,PetscInt*); 316 PETSC_INTERN PetscErrorCode MatCreateMPIMatConcatenateSeqMat_SeqAIJ(MPI_Comm,Mat,PetscInt,MatReuse,Mat*); 317 PETSC_INTERN PetscErrorCode MatCreateMPIMatConcatenateSeqMat_MPIAIJ(MPI_Comm,Mat,PetscInt,MatReuse,Mat*); 318 319 /* 320 PetscSparseDenseMinusDot - The inner kernel of triangular solves and Gauss-Siedel smoothing. \sum_i xv[i] * r[xi[i]] for CSR storage 321 322 Input Parameters: 323 + nnz - the number of entries 324 . r - the array of vector values 325 . xv - the matrix values for the row 326 - xi - the column indices of the nonzeros in the row 327 328 Output Parameter: 329 . sum - negative the sum of results 330 331 PETSc compile flags: 332 + PETSC_KERNEL_USE_UNROLL_4 - don't use this; it changes nnz and hence is WRONG 333 - PETSC_KERNEL_USE_UNROLL_2 - 334 335 .seealso: PetscSparseDensePlusDot() 336 337 */ 338 #if defined(PETSC_KERNEL_USE_UNROLL_4) 339 #define PetscSparseDenseMinusDot(sum,r,xv,xi,nnz) { \ 340 if (nnz > 0) { \ 341 switch (nnz & 0x3) { \ 342 case 3: sum -= *xv++ *r[*xi++]; \ 343 case 2: sum -= *xv++ *r[*xi++]; \ 344 case 1: sum -= *xv++ *r[*xi++]; \ 345 nnz -= 4;} \ 346 while (nnz > 0) { \ 347 sum -= xv[0] * r[xi[0]] - xv[1] * r[xi[1]] - \ 348 xv[2] * r[xi[2]] - xv[3] * r[xi[3]]; \ 349 xv += 4; xi += 4; nnz -= 4; }}} 350 351 #elif defined(PETSC_KERNEL_USE_UNROLL_2) 352 #define PetscSparseDenseMinusDot(sum,r,xv,xi,nnz) { \ 353 PetscInt __i,__i1,__i2; \ 354 for (__i=0; __i<nnz-1; __i+=2) {__i1 = xi[__i]; __i2=xi[__i+1]; \ 355 sum -= (xv[__i]*r[__i1] + xv[__i+1]*r[__i2]);} \ 356 if (nnz & 0x1) sum -= xv[__i] * r[xi[__i]];} 357 358 #else 359 #define PetscSparseDenseMinusDot(sum,r,xv,xi,nnz) { \ 360 PetscInt __i; \ 361 for (__i=0; __i<nnz; __i++) sum -= xv[__i] * r[xi[__i]];} 362 #endif 363 364 365 366 /* 367 PetscSparseDensePlusDot - The inner kernel of matrix-vector product \sum_i xv[i] * r[xi[i]] for CSR storage 368 369 Input Parameters: 370 + nnz - the number of entries 371 . r - the array of vector values 372 . xv - the matrix values for the row 373 - xi - the column indices of the nonzeros in the row 374 375 Output Parameter: 376 . sum - the sum of results 377 378 PETSc compile flags: 379 + PETSC_KERNEL_USE_UNROLL_4 - don't use this; it changes nnz and hence is WRONG 380 - PETSC_KERNEL_USE_UNROLL_2 - 381 382 .seealso: PetscSparseDenseMinusDot() 383 384 */ 385 #if defined(PETSC_KERNEL_USE_UNROLL_4) 386 #define PetscSparseDensePlusDot(sum,r,xv,xi,nnz) { \ 387 if (nnz > 0) { \ 388 switch (nnz & 0x3) { \ 389 case 3: sum += *xv++ *r[*xi++]; \ 390 case 2: sum += *xv++ *r[*xi++]; \ 391 case 1: sum += *xv++ *r[*xi++]; \ 392 nnz -= 4;} \ 393 while (nnz > 0) { \ 394 sum += xv[0] * r[xi[0]] + xv[1] * r[xi[1]] + \ 395 xv[2] * r[xi[2]] + xv[3] * r[xi[3]]; \ 396 xv += 4; xi += 4; nnz -= 4; }}} 397 398 #elif defined(PETSC_KERNEL_USE_UNROLL_2) 399 #define PetscSparseDensePlusDot(sum,r,xv,xi,nnz) { \ 400 PetscInt __i,__i1,__i2; \ 401 for (__i=0; __i<nnz-1; __i+=2) {__i1 = xi[__i]; __i2=xi[__i+1]; \ 402 sum += (xv[__i]*r[__i1] + xv[__i+1]*r[__i2]);} \ 403 if (nnz & 0x1) sum += xv[__i] * r[xi[__i]];} 404 405 #else 406 #define PetscSparseDensePlusDot(sum,r,xv,xi,nnz) { \ 407 PetscInt __i; \ 408 for (__i=0; __i<nnz; __i++) sum += xv[__i] * r[xi[__i]];} 409 #endif 410 411 412 /* 413 PetscSparseDenseMaxDot - The inner kernel of a modified matrix-vector product \max_i xv[i] * r[xi[i]] for CSR storage 414 415 Input Parameters: 416 + nnz - the number of entries 417 . r - the array of vector values 418 . xv - the matrix values for the row 419 - xi - the column indices of the nonzeros in the row 420 421 Output Parameter: 422 . max - the max of results 423 424 .seealso: PetscSparseDensePlusDot(), PetscSparseDenseMinusDot() 425 426 */ 427 #define PetscSparseDenseMaxDot(max,r,xv,xi,nnz) { \ 428 PetscInt __i; \ 429 for (__i=0; __i<nnz; __i++) max = PetscMax(PetscRealPart(max), PetscRealPart(xv[__i] * r[xi[__i]]));} 430 431 #endif 432