1 /* 2 Defines basic operations for the MATSEQAIJSELL matrix class. 3 This class is derived from the MATAIJCLASS, but maintains a "shadow" copy 4 of the matrix stored in MATSEQSELL format, which is used as appropriate for 5 performing operations for which this format is more suitable. 6 */ 7 8 #include <../src/mat/impls/aij/seq/aij.h> 9 #include <../src/mat/impls/sell/seq/sell.h> 10 11 typedef struct { 12 Mat S; /* The SELL formatted "shadow" matrix. */ 13 PetscBool eager_shadow; 14 PetscObjectState state; /* State of the matrix when shadow matrix was last constructed. */ 15 } Mat_SeqAIJSELL; 16 17 PETSC_INTERN PetscErrorCode MatConvert_SeqAIJSELL_SeqAIJ(Mat A, MatType type, MatReuse reuse, Mat *newmat) 18 { 19 /* This routine is only called to convert a MATAIJSELL to its base PETSc type, */ 20 /* so we will ignore 'MatType type'. */ 21 Mat B = *newmat; 22 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL *)A->spptr; 23 24 PetscFunctionBegin; 25 if (reuse == MAT_INITIAL_MATRIX) PetscCall(MatDuplicate(A, MAT_COPY_VALUES, &B)); 26 27 /* Reset the original function pointers. */ 28 B->ops->duplicate = MatDuplicate_SeqAIJ; 29 B->ops->assemblyend = MatAssemblyEnd_SeqAIJ; 30 B->ops->destroy = MatDestroy_SeqAIJ; 31 B->ops->mult = MatMult_SeqAIJ; 32 B->ops->multtranspose = MatMultTranspose_SeqAIJ; 33 B->ops->multadd = MatMultAdd_SeqAIJ; 34 B->ops->multtransposeadd = MatMultTransposeAdd_SeqAIJ; 35 B->ops->sor = MatSOR_SeqAIJ; 36 37 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqaijsell_seqaij_C", NULL)); 38 39 if (reuse == MAT_INITIAL_MATRIX) aijsell = (Mat_SeqAIJSELL *)B->spptr; 40 41 /* Clean up the Mat_SeqAIJSELL data structure. 42 * Note that MatDestroy() simply returns if passed a NULL value, so it's OK to call even if the shadow matrix was never constructed. */ 43 PetscCall(MatDestroy(&aijsell->S)); 44 PetscCall(PetscFree(B->spptr)); 45 46 /* Change the type of B to MATSEQAIJ. */ 47 PetscCall(PetscObjectChangeTypeName((PetscObject)B, MATSEQAIJ)); 48 49 *newmat = B; 50 PetscFunctionReturn(PETSC_SUCCESS); 51 } 52 53 static PetscErrorCode MatDestroy_SeqAIJSELL(Mat A) 54 { 55 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL *)A->spptr; 56 57 PetscFunctionBegin; 58 /* If MatHeaderMerge() was used, then this SeqAIJSELL matrix will not have an 59 * spptr pointer. */ 60 if (aijsell) { 61 /* Clean up everything in the Mat_SeqAIJSELL data structure, then free A->spptr. */ 62 PetscCall(MatDestroy(&aijsell->S)); 63 PetscCall(PetscFree(A->spptr)); 64 } 65 66 /* Change the type of A back to SEQAIJ and use MatDestroy_SeqAIJ() 67 * to destroy everything that remains. */ 68 PetscCall(PetscObjectChangeTypeName((PetscObject)A, MATSEQAIJ)); 69 /* Note that I don't call MatSetType(). I believe this is because that 70 * is only to be called when *building* a matrix. I could be wrong, but 71 * that is how things work for the SuperLU matrix class. */ 72 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatConvert_seqaijsell_seqaij_C", NULL)); 73 PetscCall(MatDestroy_SeqAIJ(A)); 74 PetscFunctionReturn(PETSC_SUCCESS); 75 } 76 77 /* Build or update the shadow matrix if and only if needed. 78 * We track the ObjectState to determine when this needs to be done. */ 79 PETSC_INTERN PetscErrorCode MatSeqAIJSELL_build_shadow(Mat A) 80 { 81 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL *)A->spptr; 82 PetscObjectState state; 83 84 PetscFunctionBegin; 85 PetscCall(PetscObjectStateGet((PetscObject)A, &state)); 86 if (aijsell->S && aijsell->state == state) { 87 /* The existing shadow matrix is up-to-date, so simply exit. */ 88 PetscFunctionReturn(PETSC_SUCCESS); 89 } 90 91 PetscCall(PetscLogEventBegin(MAT_Convert, A, 0, 0, 0)); 92 if (aijsell->S) { 93 PetscCall(MatConvert_SeqAIJ_SeqSELL(A, MATSEQSELL, MAT_REUSE_MATRIX, &aijsell->S)); 94 } else { 95 PetscCall(MatConvert_SeqAIJ_SeqSELL(A, MATSEQSELL, MAT_INITIAL_MATRIX, &aijsell->S)); 96 } 97 PetscCall(PetscLogEventEnd(MAT_Convert, A, 0, 0, 0)); 98 99 /* Record the ObjectState so that we can tell when the shadow matrix needs updating */ 100 PetscCall(PetscObjectStateGet((PetscObject)A, &aijsell->state)); 101 PetscFunctionReturn(PETSC_SUCCESS); 102 } 103 104 static PetscErrorCode MatDuplicate_SeqAIJSELL(Mat A, MatDuplicateOption op, Mat *M) 105 { 106 Mat_SeqAIJSELL *aijsell; 107 Mat_SeqAIJSELL *aijsell_dest; 108 109 PetscFunctionBegin; 110 PetscCall(MatDuplicate_SeqAIJ(A, op, M)); 111 aijsell = (Mat_SeqAIJSELL *)A->spptr; 112 aijsell_dest = (Mat_SeqAIJSELL *)(*M)->spptr; 113 PetscCall(PetscArraycpy(aijsell_dest, aijsell, 1)); 114 /* We don't duplicate the shadow matrix -- that will be constructed as needed. */ 115 aijsell_dest->S = NULL; 116 if (aijsell->eager_shadow) PetscCall(MatSeqAIJSELL_build_shadow(A)); 117 PetscFunctionReturn(PETSC_SUCCESS); 118 } 119 120 static PetscErrorCode MatAssemblyEnd_SeqAIJSELL(Mat A, MatAssemblyType mode) 121 { 122 Mat_SeqAIJ *a = (Mat_SeqAIJ *)A->data; 123 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL *)A->spptr; 124 125 PetscFunctionBegin; 126 if (mode == MAT_FLUSH_ASSEMBLY) PetscFunctionReturn(PETSC_SUCCESS); 127 128 /* I disable the use of the inode routines so that the AIJSELL ones will be 129 * used instead, but I wonder if it might make sense (and is feasible) to 130 * use some of them. */ 131 a->inode.use = PETSC_FALSE; 132 133 /* Since a MATSEQAIJSELL matrix is really just a MATSEQAIJ with some 134 * extra information and some different methods, call the AssemblyEnd 135 * routine for a MATSEQAIJ. 136 * I'm not sure if this is the best way to do this, but it avoids 137 * a lot of code duplication. */ 138 139 PetscCall(MatAssemblyEnd_SeqAIJ(A, mode)); 140 141 /* If the user has requested "eager" shadowing, create the SELL shadow matrix (if needed; the function checks). 142 * (The default is to take a "lazy" approach, deferring this until something like MatMult() is called.) */ 143 if (aijsell->eager_shadow) PetscCall(MatSeqAIJSELL_build_shadow(A)); 144 PetscFunctionReturn(PETSC_SUCCESS); 145 } 146 147 static PetscErrorCode MatMult_SeqAIJSELL(Mat A, Vec xx, Vec yy) 148 { 149 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL *)A->spptr; 150 151 PetscFunctionBegin; 152 PetscCall(MatSeqAIJSELL_build_shadow(A)); 153 PetscCall(MatMult_SeqSELL(aijsell->S, xx, yy)); 154 PetscFunctionReturn(PETSC_SUCCESS); 155 } 156 157 static PetscErrorCode MatMultTranspose_SeqAIJSELL(Mat A, Vec xx, Vec yy) 158 { 159 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL *)A->spptr; 160 161 PetscFunctionBegin; 162 PetscCall(MatSeqAIJSELL_build_shadow(A)); 163 PetscCall(MatMultTranspose_SeqSELL(aijsell->S, xx, yy)); 164 PetscFunctionReturn(PETSC_SUCCESS); 165 } 166 167 static PetscErrorCode MatMultAdd_SeqAIJSELL(Mat A, Vec xx, Vec yy, Vec zz) 168 { 169 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL *)A->spptr; 170 171 PetscFunctionBegin; 172 PetscCall(MatSeqAIJSELL_build_shadow(A)); 173 PetscCall(MatMultAdd_SeqSELL(aijsell->S, xx, yy, zz)); 174 PetscFunctionReturn(PETSC_SUCCESS); 175 } 176 177 static PetscErrorCode MatMultTransposeAdd_SeqAIJSELL(Mat A, Vec xx, Vec yy, Vec zz) 178 { 179 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL *)A->spptr; 180 181 PetscFunctionBegin; 182 PetscCall(MatSeqAIJSELL_build_shadow(A)); 183 PetscCall(MatMultTransposeAdd_SeqSELL(aijsell->S, xx, yy, zz)); 184 PetscFunctionReturn(PETSC_SUCCESS); 185 } 186 187 static PetscErrorCode MatSOR_SeqAIJSELL(Mat A, Vec bb, PetscReal omega, MatSORType flag, PetscReal fshift, PetscInt its, PetscInt lits, Vec xx) 188 { 189 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL *)A->spptr; 190 191 PetscFunctionBegin; 192 PetscCall(MatSeqAIJSELL_build_shadow(A)); 193 PetscCall(MatSOR_SeqSELL(aijsell->S, bb, omega, flag, fshift, its, lits, xx)); 194 PetscFunctionReturn(PETSC_SUCCESS); 195 } 196 197 /* MatConvert_SeqAIJ_SeqAIJSELL converts a SeqAIJ matrix into a 198 * SeqAIJSELL matrix. This routine is called by the MatCreate_SeqAIJSELL() 199 * routine, but can also be used to convert an assembled SeqAIJ matrix 200 * into a SeqAIJSELL one. */ 201 PETSC_INTERN PetscErrorCode MatConvert_SeqAIJ_SeqAIJSELL(Mat A, MatType type, MatReuse reuse, Mat *newmat) 202 { 203 Mat B = *newmat; 204 Mat_SeqAIJ *b; 205 Mat_SeqAIJSELL *aijsell; 206 PetscBool set; 207 PetscBool sametype; 208 209 PetscFunctionBegin; 210 if (reuse == MAT_INITIAL_MATRIX) PetscCall(MatDuplicate(A, MAT_COPY_VALUES, &B)); 211 212 PetscCall(PetscObjectTypeCompare((PetscObject)A, type, &sametype)); 213 if (sametype) PetscFunctionReturn(PETSC_SUCCESS); 214 215 PetscCall(PetscNew(&aijsell)); 216 b = (Mat_SeqAIJ *)B->data; 217 B->spptr = (void *)aijsell; 218 219 /* Disable use of the inode routines so that the AIJSELL ones will be used instead. 220 * This happens in MatAssemblyEnd_SeqAIJSELL as well, but the assembly end may not be called, so set it here, too. 221 * As noted elsewhere, I wonder if it might make sense and be feasible to use some of the inode routines. */ 222 b->inode.use = PETSC_FALSE; 223 224 /* Set function pointers for methods that we inherit from AIJ but override. 225 * We also parse some command line options below, since those determine some of the methods we point to. */ 226 B->ops->duplicate = MatDuplicate_SeqAIJSELL; 227 B->ops->assemblyend = MatAssemblyEnd_SeqAIJSELL; 228 B->ops->destroy = MatDestroy_SeqAIJSELL; 229 230 aijsell->S = NULL; 231 aijsell->eager_shadow = PETSC_FALSE; 232 233 /* Parse command line options. */ 234 PetscOptionsBegin(PetscObjectComm((PetscObject)A), ((PetscObject)A)->prefix, "AIJSELL Options", "Mat"); 235 PetscCall(PetscOptionsBool("-mat_aijsell_eager_shadow", "Eager Shadowing", "None", aijsell->eager_shadow, &aijsell->eager_shadow, &set)); 236 PetscOptionsEnd(); 237 238 /* If A has already been assembled and eager shadowing is specified, build the shadow matrix. */ 239 if (A->assembled && aijsell->eager_shadow) PetscCall(MatSeqAIJSELL_build_shadow(A)); 240 241 B->ops->mult = MatMult_SeqAIJSELL; 242 B->ops->multtranspose = MatMultTranspose_SeqAIJSELL; 243 B->ops->multadd = MatMultAdd_SeqAIJSELL; 244 B->ops->multtransposeadd = MatMultTransposeAdd_SeqAIJSELL; 245 B->ops->sor = MatSOR_SeqAIJSELL; 246 247 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqaijsell_seqaij_C", MatConvert_SeqAIJSELL_SeqAIJ)); 248 249 PetscCall(PetscObjectChangeTypeName((PetscObject)B, MATSEQAIJSELL)); 250 *newmat = B; 251 PetscFunctionReturn(PETSC_SUCCESS); 252 } 253 254 /*@C 255 MatCreateSeqAIJSELL - Creates a sparse matrix of type `MATSEQAIJSELL`. 256 257 Collective 258 259 Input Parameters: 260 + comm - MPI communicator, set to `PETSC_COMM_SELF` 261 . m - number of rows 262 . n - number of columns 263 . nz - number of nonzeros per row (same for all rows) 264 - nnz - array containing the number of nonzeros in the various rows 265 (possibly different for each row) or `NULL` 266 267 Output Parameter: 268 . A - the matrix 269 270 Options Database Keys: 271 . -mat_aijsell_eager_shadow - Construct shadow matrix upon matrix assembly; default is to take a "lazy" approach, 272 performing this step the first time the matrix is applied 273 274 Level: intermediate 275 276 Notes: 277 This type inherits from AIJ and is largely identical, but keeps a "shadow" copy of the matrix 278 in `MATSEQSELL` format, which is used when this format may be more suitable for a requested 279 operation. Currently, `MATSEQSELL` format is used for `MatMult()`, `MatMultTranspose()`, 280 `MatMultAdd()`, `MatMultTransposeAdd()`, and `MatSOR()` operations. 281 282 If `nnz` is given then `nz` is ignored 283 284 Because `MATSEQAIJSELL` is a subtype of `MATSEQAIJ`, the option `-mat_seqaij_type seqaijsell` can be used to make 285 sequential `MATSEQAIJ` matrices default to being instances of `MATSEQAIJSELL`. 286 287 .seealso: [](ch_matrices), `Mat`, `MatCreate()`, `MatCreateMPIAIJSELL()`, `MatSetValues()` 288 @*/ 289 PetscErrorCode MatCreateSeqAIJSELL(MPI_Comm comm, PetscInt m, PetscInt n, PetscInt nz, const PetscInt nnz[], Mat *A) 290 { 291 PetscFunctionBegin; 292 PetscCall(MatCreate(comm, A)); 293 PetscCall(MatSetSizes(*A, m, n, m, n)); 294 PetscCall(MatSetType(*A, MATSEQAIJSELL)); 295 PetscCall(MatSeqAIJSetPreallocation_SeqAIJ(*A, nz, nnz)); 296 PetscFunctionReturn(PETSC_SUCCESS); 297 } 298 299 PETSC_EXTERN PetscErrorCode MatCreate_SeqAIJSELL(Mat A) 300 { 301 PetscFunctionBegin; 302 PetscCall(MatSetType(A, MATSEQAIJ)); 303 PetscCall(MatConvert_SeqAIJ_SeqAIJSELL(A, MATSEQAIJSELL, MAT_INPLACE_MATRIX, &A)); 304 PetscFunctionReturn(PETSC_SUCCESS); 305 } 306