xref: /petsc/src/mat/impls/aij/seq/aijsell/aijsell.c (revision bcee047adeeb73090d7e36cc71e39fc287cdbb97)
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