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 B->ops->sor = MatSOR_SeqAIJ; 39 40 ierr = PetscObjectComposeFunction((PetscObject)B,"MatConvert_seqaijsell_seqaij_C",NULL);CHKERRQ(ierr); 41 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMult_seqdense_seqaijsell_C",NULL);CHKERRQ(ierr); 42 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultSymbolic_seqdense_seqaijsell_C",NULL);CHKERRQ(ierr); 43 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultNumeric_seqdense_seqaijsell_C",NULL);CHKERRQ(ierr); 44 ierr = PetscObjectComposeFunction((PetscObject)B,"MatPtAP_is_seqaijsell_C",NULL);CHKERRQ(ierr); 45 46 if (reuse == MAT_INITIAL_MATRIX) aijsell = (Mat_SeqAIJSELL*)B->spptr; 47 48 /* Clean up the Mat_SeqAIJSELL data structure. 49 * Note that MatDestroy() simply returns if passed a NULL value, so it's OK to call even if the shadow matrix was never constructed. */ 50 ierr = MatDestroy(&aijsell->S);CHKERRQ(ierr); 51 ierr = PetscFree(B->spptr);CHKERRQ(ierr); 52 53 /* Change the type of B to MATSEQAIJ. */ 54 ierr = PetscObjectChangeTypeName((PetscObject)B, MATSEQAIJ);CHKERRQ(ierr); 55 56 *newmat = B; 57 PetscFunctionReturn(0); 58 } 59 60 PetscErrorCode MatDestroy_SeqAIJSELL(Mat A) 61 { 62 PetscErrorCode ierr; 63 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL*) A->spptr; 64 65 PetscFunctionBegin; 66 67 /* If MatHeaderMerge() was used, then this SeqAIJSELL matrix will not have an 68 * spptr pointer. */ 69 if (aijsell) { 70 /* Clean up everything in the Mat_SeqAIJSELL data structure, then free A->spptr. */ 71 ierr = MatDestroy(&aijsell->S);CHKERRQ(ierr); 72 ierr = PetscFree(A->spptr);CHKERRQ(ierr); 73 } 74 75 /* Change the type of A back to SEQAIJ and use MatDestroy_SeqAIJ() 76 * to destroy everything that remains. */ 77 ierr = PetscObjectChangeTypeName((PetscObject)A, MATSEQAIJ);CHKERRQ(ierr); 78 /* Note that I don't call MatSetType(). I believe this is because that 79 * is only to be called when *building* a matrix. I could be wrong, but 80 * that is how things work for the SuperLU matrix class. */ 81 ierr = MatDestroy_SeqAIJ(A);CHKERRQ(ierr); 82 PetscFunctionReturn(0); 83 } 84 85 /* Build or update the shadow matrix if and only if needed. 86 * We track the ObjectState to determine when this needs to be done. */ 87 PETSC_INTERN PetscErrorCode MatSeqAIJSELL_build_shadow(Mat A) 88 { 89 PetscErrorCode ierr; 90 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL*) A->spptr; 91 PetscObjectState state; 92 93 PetscFunctionBegin; 94 ierr = PetscObjectStateGet((PetscObject)A,&state);CHKERRQ(ierr); 95 if (aijsell->S && aijsell->state == state) { 96 /* The existing shadow matrix is up-to-date, so simply exit. */ 97 PetscFunctionReturn(0); 98 } 99 100 ierr = PetscLogEventBegin(MAT_Convert,A,0,0,0);CHKERRQ(ierr); 101 if (aijsell->S) { 102 ierr = MatConvert_SeqAIJ_SeqSELL(A,MATSEQSELL,MAT_REUSE_MATRIX,&aijsell->S);CHKERRQ(ierr); 103 } else { 104 ierr = MatConvert_SeqAIJ_SeqSELL(A,MATSEQSELL,MAT_INITIAL_MATRIX,&aijsell->S);CHKERRQ(ierr); 105 } 106 ierr = PetscLogEventEnd(MAT_Convert,A,0,0,0);CHKERRQ(ierr); 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 = PetscArraycpy(aijsell_dest,aijsell,1);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 = (Mat_SeqAIJSELL*)A->spptr; 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 if (aijsell->eager_shadow) { 158 ierr = MatSeqAIJSELL_build_shadow(A);CHKERRQ(ierr); 159 } 160 161 PetscFunctionReturn(0); 162 } 163 164 PetscErrorCode MatMult_SeqAIJSELL(Mat A,Vec xx,Vec yy) 165 { 166 Mat_SeqAIJSELL *aijsell = (Mat_SeqAIJSELL*)A->spptr; 167 PetscErrorCode ierr; 168 169 PetscFunctionBegin; 170 ierr = MatSeqAIJSELL_build_shadow(A);CHKERRQ(ierr); 171 ierr = MatMult_SeqSELL(aijsell->S,xx,yy);CHKERRQ(ierr); 172 PetscFunctionReturn(0); 173 } 174 175 PetscErrorCode MatMultTranspose_SeqAIJSELL(Mat A,Vec xx,Vec yy) 176 { 177 Mat_SeqAIJSELL *aijsell=(Mat_SeqAIJSELL*)A->spptr; 178 PetscErrorCode ierr; 179 180 PetscFunctionBegin; 181 ierr = MatSeqAIJSELL_build_shadow(A);CHKERRQ(ierr); 182 ierr = MatMultTranspose_SeqSELL(aijsell->S,xx,yy);CHKERRQ(ierr); 183 PetscFunctionReturn(0); 184 } 185 186 PetscErrorCode MatMultAdd_SeqAIJSELL(Mat A,Vec xx,Vec yy,Vec zz) 187 { 188 Mat_SeqAIJSELL *aijsell=(Mat_SeqAIJSELL*)A->spptr; 189 PetscErrorCode ierr; 190 191 PetscFunctionBegin; 192 ierr = MatSeqAIJSELL_build_shadow(A);CHKERRQ(ierr); 193 ierr = MatMultAdd_SeqSELL(aijsell->S,xx,yy,zz);CHKERRQ(ierr); 194 PetscFunctionReturn(0); 195 } 196 197 PetscErrorCode MatMultTransposeAdd_SeqAIJSELL(Mat A,Vec xx,Vec yy,Vec zz) 198 { 199 Mat_SeqAIJSELL *aijsell=(Mat_SeqAIJSELL*)A->spptr; 200 PetscErrorCode ierr; 201 202 PetscFunctionBegin; 203 ierr = MatSeqAIJSELL_build_shadow(A);CHKERRQ(ierr); 204 ierr = MatMultTransposeAdd_SeqSELL(aijsell->S,xx,yy,zz);CHKERRQ(ierr); 205 PetscFunctionReturn(0); 206 } 207 208 PetscErrorCode MatSOR_SeqAIJSELL(Mat A,Vec bb,PetscReal omega,MatSORType flag,PetscReal fshift,PetscInt its,PetscInt lits,Vec xx) 209 { 210 Mat_SeqAIJSELL *aijsell=(Mat_SeqAIJSELL*)A->spptr; 211 PetscErrorCode ierr; 212 213 PetscFunctionBegin; 214 ierr = MatSeqAIJSELL_build_shadow(A);CHKERRQ(ierr); 215 ierr = MatSOR_SeqSELL(aijsell->S,bb,omega,flag,fshift,its,lits,xx);CHKERRQ(ierr); 216 PetscFunctionReturn(0); 217 } 218 219 /* This function prototype is needed in MatConvert_SeqAIJ_SeqAIJSELL(), below. */ 220 PETSC_INTERN PetscErrorCode MatPtAP_IS_XAIJ(Mat,Mat,MatReuse,PetscReal,Mat*); 221 222 /* MatConvert_SeqAIJ_SeqAIJSELL converts a SeqAIJ matrix into a 223 * SeqAIJSELL matrix. This routine is called by the MatCreate_SeqAIJSELL() 224 * routine, but can also be used to convert an assembled SeqAIJ matrix 225 * into a SeqAIJSELL one. */ 226 PETSC_INTERN PetscErrorCode MatConvert_SeqAIJ_SeqAIJSELL(Mat A,MatType type,MatReuse reuse,Mat *newmat) 227 { 228 PetscErrorCode ierr; 229 Mat B = *newmat; 230 Mat_SeqAIJ *b; 231 Mat_SeqAIJSELL *aijsell; 232 PetscBool set; 233 PetscBool sametype; 234 235 PetscFunctionBegin; 236 if (reuse == MAT_INITIAL_MATRIX) { 237 ierr = MatDuplicate(A,MAT_COPY_VALUES,&B);CHKERRQ(ierr); 238 } 239 240 ierr = PetscObjectTypeCompare((PetscObject)A,type,&sametype);CHKERRQ(ierr); 241 if (sametype) PetscFunctionReturn(0); 242 243 ierr = PetscNewLog(B,&aijsell);CHKERRQ(ierr); 244 b = (Mat_SeqAIJ*) B->data; 245 B->spptr = (void*) aijsell; 246 247 /* Disable use of the inode routines so that the AIJSELL ones will be used instead. 248 * This happens in MatAssemblyEnd_SeqAIJSELL as well, but the assembly end may not be called, so set it here, too. 249 * As noted elsewhere, I wonder if it might make sense and be feasible to use some of the inode routines. */ 250 b->inode.use = PETSC_FALSE; 251 252 /* Set function pointers for methods that we inherit from AIJ but override. 253 * We also parse some command line options below, since those determine some of the methods we point to. */ 254 B->ops->duplicate = MatDuplicate_SeqAIJSELL; 255 B->ops->assemblyend = MatAssemblyEnd_SeqAIJSELL; 256 B->ops->destroy = MatDestroy_SeqAIJSELL; 257 258 aijsell->S = NULL; 259 aijsell->eager_shadow = PETSC_FALSE; 260 261 /* Parse command line options. */ 262 ierr = PetscOptionsBegin(PetscObjectComm((PetscObject)A),((PetscObject)A)->prefix,"AIJSELL Options","Mat");CHKERRQ(ierr); 263 ierr = PetscOptionsBool("-mat_aijsell_eager_shadow","Eager Shadowing","None",(PetscBool)aijsell->eager_shadow,(PetscBool*)&aijsell->eager_shadow,&set);CHKERRQ(ierr); 264 ierr = PetscOptionsEnd();CHKERRQ(ierr); 265 266 /* If A has already been assembled and eager shadowing is specified, build the shadow matrix. */ 267 if (A->assembled && aijsell->eager_shadow) { 268 ierr = MatSeqAIJSELL_build_shadow(A);CHKERRQ(ierr); 269 } 270 271 B->ops->mult = MatMult_SeqAIJSELL; 272 B->ops->multtranspose = MatMultTranspose_SeqAIJSELL; 273 B->ops->multadd = MatMultAdd_SeqAIJSELL; 274 B->ops->multtransposeadd = MatMultTransposeAdd_SeqAIJSELL; 275 B->ops->sor = MatSOR_SeqAIJSELL; 276 277 ierr = PetscObjectComposeFunction((PetscObject)B,"MatConvert_seqaijsell_seqaij_C",MatConvert_SeqAIJSELL_SeqAIJ);CHKERRQ(ierr); 278 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMult_seqdense_seqaijsell_C",MatMatMult_SeqDense_SeqAIJ);CHKERRQ(ierr); 279 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultSymbolic_seqdense_seqaijsell_C",MatMatMultSymbolic_SeqDense_SeqAIJ);CHKERRQ(ierr); 280 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultNumeric_seqdense_seqaijsell_C",MatMatMultNumeric_SeqDense_SeqAIJ);CHKERRQ(ierr); 281 ierr = PetscObjectComposeFunction((PetscObject)B,"MatPtAP_is_seqaijsell_C",MatPtAP_IS_XAIJ);CHKERRQ(ierr); 282 283 ierr = PetscObjectChangeTypeName((PetscObject)B,MATSEQAIJSELL);CHKERRQ(ierr); 284 *newmat = B; 285 PetscFunctionReturn(0); 286 } 287 288 /*@C 289 MatCreateSeqAIJSELL - Creates a sparse matrix of type SEQAIJSELL. 290 This type inherits from AIJ and is largely identical, but keeps a "shadow" 291 copy of the matrix in SEQSELL format, which is used when this format 292 may be more suitable for a requested operation. Currently, SEQSELL format 293 is used for MatMult, MatMultTranspose, MatMultAdd, MatMultTransposeAdd, 294 and MatSOR operations. 295 Because SEQAIJSELL is a subtype of SEQAIJ, the option "-mat_seqaij_type seqaijsell" can be used to make 296 sequential AIJ matrices default to being instances of MATSEQAIJSELL. 297 298 Collective 299 300 Input Parameters: 301 + comm - MPI communicator, set to PETSC_COMM_SELF 302 . m - number of rows 303 . n - number of columns 304 . nz - number of nonzeros per row (same for all rows) 305 - nnz - array containing the number of nonzeros in the various rows 306 (possibly different for each row) or NULL 307 308 Output Parameter: 309 . A - the matrix 310 311 Options Database Keys: 312 . -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 313 314 Notes: 315 If nnz is given then nz is ignored 316 317 Level: intermediate 318 319 .seealso: MatCreate(), MatCreateMPIAIJSELL(), MatSetValues() 320 @*/ 321 PetscErrorCode MatCreateSeqAIJSELL(MPI_Comm comm,PetscInt m,PetscInt n,PetscInt nz,const PetscInt nnz[],Mat *A) 322 { 323 PetscErrorCode ierr; 324 325 PetscFunctionBegin; 326 ierr = MatCreate(comm,A);CHKERRQ(ierr); 327 ierr = MatSetSizes(*A,m,n,m,n);CHKERRQ(ierr); 328 ierr = MatSetType(*A,MATSEQAIJSELL);CHKERRQ(ierr); 329 ierr = MatSeqAIJSetPreallocation_SeqAIJ(*A,nz,nnz);CHKERRQ(ierr); 330 PetscFunctionReturn(0); 331 } 332 333 PETSC_EXTERN PetscErrorCode MatCreate_SeqAIJSELL(Mat A) 334 { 335 PetscErrorCode ierr; 336 337 PetscFunctionBegin; 338 ierr = MatSetType(A,MATSEQAIJ);CHKERRQ(ierr); 339 ierr = MatConvert_SeqAIJ_SeqAIJSELL(A,MATSEQAIJSELL,MAT_INPLACE_MATRIX,&A);CHKERRQ(ierr); 340 PetscFunctionReturn(0); 341 } 342