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 PetscErrorCode MatDestroy_SeqAIJSELL(Mat A) 54 { 55 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL *)A->spptr; 56 57 PetscFunctionBegin; 58 59 /* If MatHeaderMerge() was used, then this SeqAIJSELL matrix will not have an 60 * spptr pointer. */ 61 if (aijsell) { 62 /* Clean up everything in the Mat_SeqAIJSELL data structure, then free A->spptr. */ 63 PetscCall(MatDestroy(&aijsell->S)); 64 PetscCall(PetscFree(A->spptr)); 65 } 66 67 /* Change the type of A back to SEQAIJ and use MatDestroy_SeqAIJ() 68 * to destroy everything that remains. */ 69 PetscCall(PetscObjectChangeTypeName((PetscObject)A, MATSEQAIJ)); 70 /* Note that I don't call MatSetType(). I believe this is because that 71 * is only to be called when *building* a matrix. I could be wrong, but 72 * that is how things work for the SuperLU matrix class. */ 73 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatConvert_seqaijsell_seqaij_C", NULL)); 74 PetscCall(MatDestroy_SeqAIJ(A)); 75 PetscFunctionReturn(PETSC_SUCCESS); 76 } 77 78 /* Build or update the shadow matrix if and only if needed. 79 * We track the ObjectState to determine when this needs to be done. */ 80 PETSC_INTERN PetscErrorCode MatSeqAIJSELL_build_shadow(Mat A) 81 { 82 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL *)A->spptr; 83 PetscObjectState state; 84 85 PetscFunctionBegin; 86 PetscCall(PetscObjectStateGet((PetscObject)A, &state)); 87 if (aijsell->S && aijsell->state == state) { 88 /* The existing shadow matrix is up-to-date, so simply exit. */ 89 PetscFunctionReturn(PETSC_SUCCESS); 90 } 91 92 PetscCall(PetscLogEventBegin(MAT_Convert, A, 0, 0, 0)); 93 if (aijsell->S) { 94 PetscCall(MatConvert_SeqAIJ_SeqSELL(A, MATSEQSELL, MAT_REUSE_MATRIX, &aijsell->S)); 95 } else { 96 PetscCall(MatConvert_SeqAIJ_SeqSELL(A, MATSEQSELL, MAT_INITIAL_MATRIX, &aijsell->S)); 97 } 98 PetscCall(PetscLogEventEnd(MAT_Convert, A, 0, 0, 0)); 99 100 /* Record the ObjectState so that we can tell when the shadow matrix needs updating */ 101 PetscCall(PetscObjectStateGet((PetscObject)A, &aijsell->state)); 102 103 PetscFunctionReturn(PETSC_SUCCESS); 104 } 105 106 PetscErrorCode MatDuplicate_SeqAIJSELL(Mat A, MatDuplicateOption op, Mat *M) 107 { 108 Mat_SeqAIJSELL *aijsell; 109 Mat_SeqAIJSELL *aijsell_dest; 110 111 PetscFunctionBegin; 112 PetscCall(MatDuplicate_SeqAIJ(A, op, M)); 113 aijsell = (Mat_SeqAIJSELL *)A->spptr; 114 aijsell_dest = (Mat_SeqAIJSELL *)(*M)->spptr; 115 PetscCall(PetscArraycpy(aijsell_dest, aijsell, 1)); 116 /* We don't duplicate the shadow matrix -- that will be constructed as needed. */ 117 aijsell_dest->S = NULL; 118 if (aijsell->eager_shadow) PetscCall(MatSeqAIJSELL_build_shadow(A)); 119 PetscFunctionReturn(PETSC_SUCCESS); 120 } 121 122 PetscErrorCode MatAssemblyEnd_SeqAIJSELL(Mat A, MatAssemblyType mode) 123 { 124 Mat_SeqAIJ *a = (Mat_SeqAIJ *)A->data; 125 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL *)A->spptr; 126 127 PetscFunctionBegin; 128 if (mode == MAT_FLUSH_ASSEMBLY) PetscFunctionReturn(PETSC_SUCCESS); 129 130 /* I disable the use of the inode routines so that the AIJSELL ones will be 131 * used instead, but I wonder if it might make sense (and is feasible) to 132 * use some of them. */ 133 a->inode.use = PETSC_FALSE; 134 135 /* Since a MATSEQAIJSELL matrix is really just a MATSEQAIJ with some 136 * extra information and some different methods, call the AssemblyEnd 137 * routine for a MATSEQAIJ. 138 * I'm not sure if this is the best way to do this, but it avoids 139 * a lot of code duplication. */ 140 141 PetscCall(MatAssemblyEnd_SeqAIJ(A, mode)); 142 143 /* If the user has requested "eager" shadowing, create the SELL shadow matrix (if needed; the function checks). 144 * (The default is to take a "lazy" approach, deferring this until something like MatMult() is called.) */ 145 if (aijsell->eager_shadow) PetscCall(MatSeqAIJSELL_build_shadow(A)); 146 147 PetscFunctionReturn(PETSC_SUCCESS); 148 } 149 150 PetscErrorCode MatMult_SeqAIJSELL(Mat A, Vec xx, Vec yy) 151 { 152 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL *)A->spptr; 153 154 PetscFunctionBegin; 155 PetscCall(MatSeqAIJSELL_build_shadow(A)); 156 PetscCall(MatMult_SeqSELL(aijsell->S, xx, yy)); 157 PetscFunctionReturn(PETSC_SUCCESS); 158 } 159 160 PetscErrorCode MatMultTranspose_SeqAIJSELL(Mat A, Vec xx, Vec yy) 161 { 162 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL *)A->spptr; 163 164 PetscFunctionBegin; 165 PetscCall(MatSeqAIJSELL_build_shadow(A)); 166 PetscCall(MatMultTranspose_SeqSELL(aijsell->S, xx, yy)); 167 PetscFunctionReturn(PETSC_SUCCESS); 168 } 169 170 PetscErrorCode MatMultAdd_SeqAIJSELL(Mat A, Vec xx, Vec yy, Vec zz) 171 { 172 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL *)A->spptr; 173 174 PetscFunctionBegin; 175 PetscCall(MatSeqAIJSELL_build_shadow(A)); 176 PetscCall(MatMultAdd_SeqSELL(aijsell->S, xx, yy, zz)); 177 PetscFunctionReturn(PETSC_SUCCESS); 178 } 179 180 PetscErrorCode MatMultTransposeAdd_SeqAIJSELL(Mat A, Vec xx, Vec yy, Vec zz) 181 { 182 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL *)A->spptr; 183 184 PetscFunctionBegin; 185 PetscCall(MatSeqAIJSELL_build_shadow(A)); 186 PetscCall(MatMultTransposeAdd_SeqSELL(aijsell->S, xx, yy, zz)); 187 PetscFunctionReturn(PETSC_SUCCESS); 188 } 189 190 PetscErrorCode MatSOR_SeqAIJSELL(Mat A, Vec bb, PetscReal omega, MatSORType flag, PetscReal fshift, PetscInt its, PetscInt lits, Vec xx) 191 { 192 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL *)A->spptr; 193 194 PetscFunctionBegin; 195 PetscCall(MatSeqAIJSELL_build_shadow(A)); 196 PetscCall(MatSOR_SeqSELL(aijsell->S, bb, omega, flag, fshift, its, lits, xx)); 197 PetscFunctionReturn(PETSC_SUCCESS); 198 } 199 200 /* MatConvert_SeqAIJ_SeqAIJSELL converts a SeqAIJ matrix into a 201 * SeqAIJSELL matrix. This routine is called by the MatCreate_SeqAIJSELL() 202 * routine, but can also be used to convert an assembled SeqAIJ matrix 203 * into a SeqAIJSELL one. */ 204 PETSC_INTERN PetscErrorCode MatConvert_SeqAIJ_SeqAIJSELL(Mat A, MatType type, MatReuse reuse, Mat *newmat) 205 { 206 Mat B = *newmat; 207 Mat_SeqAIJ *b; 208 Mat_SeqAIJSELL *aijsell; 209 PetscBool set; 210 PetscBool sametype; 211 212 PetscFunctionBegin; 213 if (reuse == MAT_INITIAL_MATRIX) PetscCall(MatDuplicate(A, MAT_COPY_VALUES, &B)); 214 215 PetscCall(PetscObjectTypeCompare((PetscObject)A, type, &sametype)); 216 if (sametype) PetscFunctionReturn(PETSC_SUCCESS); 217 218 PetscCall(PetscNew(&aijsell)); 219 b = (Mat_SeqAIJ *)B->data; 220 B->spptr = (void *)aijsell; 221 222 /* Disable use of the inode routines so that the AIJSELL ones will be used instead. 223 * This happens in MatAssemblyEnd_SeqAIJSELL as well, but the assembly end may not be called, so set it here, too. 224 * As noted elsewhere, I wonder if it might make sense and be feasible to use some of the inode routines. */ 225 b->inode.use = PETSC_FALSE; 226 227 /* Set function pointers for methods that we inherit from AIJ but override. 228 * We also parse some command line options below, since those determine some of the methods we point to. */ 229 B->ops->duplicate = MatDuplicate_SeqAIJSELL; 230 B->ops->assemblyend = MatAssemblyEnd_SeqAIJSELL; 231 B->ops->destroy = MatDestroy_SeqAIJSELL; 232 233 aijsell->S = NULL; 234 aijsell->eager_shadow = PETSC_FALSE; 235 236 /* Parse command line options. */ 237 PetscOptionsBegin(PetscObjectComm((PetscObject)A), ((PetscObject)A)->prefix, "AIJSELL Options", "Mat"); 238 PetscCall(PetscOptionsBool("-mat_aijsell_eager_shadow", "Eager Shadowing", "None", (PetscBool)aijsell->eager_shadow, (PetscBool *)&aijsell->eager_shadow, &set)); 239 PetscOptionsEnd(); 240 241 /* If A has already been assembled and eager shadowing is specified, build the shadow matrix. */ 242 if (A->assembled && aijsell->eager_shadow) PetscCall(MatSeqAIJSELL_build_shadow(A)); 243 244 B->ops->mult = MatMult_SeqAIJSELL; 245 B->ops->multtranspose = MatMultTranspose_SeqAIJSELL; 246 B->ops->multadd = MatMultAdd_SeqAIJSELL; 247 B->ops->multtransposeadd = MatMultTransposeAdd_SeqAIJSELL; 248 B->ops->sor = MatSOR_SeqAIJSELL; 249 250 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqaijsell_seqaij_C", MatConvert_SeqAIJSELL_SeqAIJ)); 251 252 PetscCall(PetscObjectChangeTypeName((PetscObject)B, MATSEQAIJSELL)); 253 *newmat = B; 254 PetscFunctionReturn(PETSC_SUCCESS); 255 } 256 257 /*@C 258 MatCreateSeqAIJSELL - Creates a sparse matrix of type `MATSEQAIJSELL`. 259 This type inherits from AIJ and is largely identical, but keeps a "shadow" 260 copy of the matrix in `MATSEQSELL` format, which is used when this format 261 may be more suitable for a requested operation. Currently, `MATSEQSELL` format 262 is used for `MatMult()`, `MatMultTranspose()`, `MatMultAdd()`, `MatMultTransposeAdd()`, 263 and `MatSOR()` operations. 264 265 Collective 266 267 Input Parameters: 268 + comm - MPI communicator, set to `PETSC_COMM_SELF` 269 . m - number of rows 270 . n - number of columns 271 . nz - number of nonzeros per row (same for all rows) 272 - nnz - array containing the number of nonzeros in the various rows 273 (possibly different for each row) or `NULL` 274 275 Output Parameter: 276 . A - the matrix 277 278 Options Database Keys: 279 . -mat_aijsell_eager_shadow - Construct shadow matrix upon matrix assembly; default is to take a "lazy" approach, 280 performing this step the first time the matrix is applied 281 282 Level: intermediate 283 284 Notes: 285 If `nnz` is given then `nz` is ignored 286 287 Because `MATSEQAIJSELL` is a subtype of `MATSEQAIJ`, the option `-mat_seqaij_type seqaijsell` can be used to make 288 sequential `MATSEQAIJ` matrices default to being instances of `MATSEQAIJSELL`. 289 290 .seealso: [](ch_matrices), `Mat`, `MatCreate()`, `MatCreateMPIAIJSELL()`, `MatSetValues()` 291 @*/ 292 PetscErrorCode MatCreateSeqAIJSELL(MPI_Comm comm, PetscInt m, PetscInt n, PetscInt nz, const PetscInt nnz[], Mat *A) 293 { 294 PetscFunctionBegin; 295 PetscCall(MatCreate(comm, A)); 296 PetscCall(MatSetSizes(*A, m, n, m, n)); 297 PetscCall(MatSetType(*A, MATSEQAIJSELL)); 298 PetscCall(MatSeqAIJSetPreallocation_SeqAIJ(*A, nz, nnz)); 299 PetscFunctionReturn(PETSC_SUCCESS); 300 } 301 302 PETSC_EXTERN PetscErrorCode MatCreate_SeqAIJSELL(Mat A) 303 { 304 PetscFunctionBegin; 305 PetscCall(MatSetType(A, MATSEQAIJ)); 306 PetscCall(MatConvert_SeqAIJ_SeqAIJSELL(A, MATSEQAIJSELL, MAT_INPLACE_MATRIX, &A)); 307 PetscFunctionReturn(PETSC_SUCCESS); 308 } 309