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