1 #pragma once
2
3 #include <petsc/private/matimpl.h>
4 #include <petsc/private/hashmapi.h>
5 #include <petsc/private/hashmapijv.h>
6
7 /*
8 Used by MatCreateSubMatrices_MPIXAIJ_Local()
9 */
10 typedef struct { /* used by MatCreateSubMatrices_MPIAIJ_SingleIS_Local() and MatCreateSubMatrices_MPIAIJ_Local */
11 PetscInt id; /* index of submats, only submats[0] is responsible for deleting some arrays below */
12 PetscMPIInt nrqs, nrqr;
13 PetscInt **rbuf1, **rbuf2, **rbuf3, **sbuf1, **sbuf2;
14 PetscInt **ptr;
15 PetscInt *tmp;
16 PetscInt *ctr;
17 PetscMPIInt *pa; /* process array */
18 PetscInt *req_size;
19 PetscMPIInt *req_source1, *req_source2;
20 PetscBool allcolumns, allrows;
21 PetscBool singleis;
22 PetscMPIInt *row2proc; /* row to process (MPI rank) map */
23 PetscInt nstages;
24 #if defined(PETSC_USE_CTABLE)
25 PetscHMapI cmap, rmap;
26 PetscInt *cmap_loc, *rmap_loc;
27 #else
28 PetscInt *cmap, *rmap;
29 #endif
30 PetscErrorCode (*destroy)(Mat);
31 } Mat_SubSppt;
32
33 /* Operations provided by MATSEQAIJ and its subclasses */
34 typedef struct {
35 PetscErrorCode (*getarray)(Mat, PetscScalar **);
36 PetscErrorCode (*restorearray)(Mat, PetscScalar **);
37 PetscErrorCode (*getarrayread)(Mat, const PetscScalar **);
38 PetscErrorCode (*restorearrayread)(Mat, const PetscScalar **);
39 PetscErrorCode (*getarraywrite)(Mat, PetscScalar **);
40 PetscErrorCode (*restorearraywrite)(Mat, PetscScalar **);
41 PetscErrorCode (*getcsrandmemtype)(Mat, const PetscInt **, const PetscInt **, PetscScalar **, PetscMemType *);
42 } Mat_SeqAIJOps;
43
44 /*
45 Struct header shared by SeqAIJ, SeqBAIJ and SeqSBAIJ matrix formats
46 */
47 #define SEQAIJHEADER(datatype) \
48 PetscBool roworiented; /* if true, row-oriented input, default */ \
49 PetscInt nonew; /* 1 don't add new nonzeros, -1 generate error on new */ \
50 PetscInt nounused; /* -1 generate error on unused space */ \
51 PetscInt maxnz; /* allocated nonzeros */ \
52 PetscInt *imax; /* maximum space allocated for each row */ \
53 PetscInt *ilen; /* actual length of each row */ \
54 PetscInt *ipre; /* space preallocated for each row by user */ \
55 PetscBool free_imax_ilen; \
56 PetscInt reallocs; /* number of mallocs done during MatSetValues() \
57 as more values are set than were prealloced */ \
58 PetscInt rmax; /* max nonzeros in any row */ \
59 PetscBool keepnonzeropattern; /* keeps matrix nonzero structure same in calls to MatZeroRows()*/ \
60 PetscBool ignorezeroentries; \
61 PetscBool free_ij; /* free the column indices j and row offsets i when the matrix is destroyed */ \
62 PetscBool free_a; /* free the numerical values when matrix is destroy */ \
63 Mat_CompressedRow compressedrow; /* use compressed row format */ \
64 PetscInt nz; /* nonzeros */ \
65 PetscInt *i; /* pointer to beginning of each row */ \
66 PetscInt *j; /* column values: j + i[k] - 1 is start of row k */ \
67 PetscInt *diag; /* pointers to diagonal elements */ \
68 PetscObjectState diagNonzeroState; /* nonzero state of the matrix when diag was obtained */ \
69 PetscBool diagDense; /* all entries along the diagonal have been set; i.e. no missing diagonal terms */ \
70 PetscInt nonzerorowcnt; /* how many rows have nonzero entries */ \
71 datatype *a; /* nonzero elements */ \
72 PetscScalar *solve_work; /* work space used in MatSolve */ \
73 IS row, col, icol; /* index sets, used for reorderings */ \
74 PetscBool pivotinblocks; /* pivot inside factorization of each diagonal block */ \
75 Mat parent; /* set if this matrix was formed with MatDuplicate(...,MAT_SHARE_NONZERO_PATTERN,....); \
76 means that this shares some data structures with the parent including diag, ilen, imax, i, j */ \
77 Mat_SubSppt *submatis1; /* used by MatCreateSubMatrices_MPIXAIJ_Local */ \
78 Mat_SeqAIJOps ops[1] /* operations for SeqAIJ and its subclasses */
79
80 typedef struct {
81 MatTransposeColoring matcoloring;
82 Mat Bt_den; /* dense matrix of B^T */
83 Mat ABt_den; /* dense matrix of A*B^T */
84 PetscBool usecoloring;
85 } MatProductCtx_MatMatTransMult;
86
87 typedef struct { /* used by MatTransposeMatMult() */
88 Mat At; /* transpose of the first matrix */
89 Mat mA; /* maij matrix of A */
90 Vec bt, ct; /* vectors to hold locally transposed arrays of B and C */
91 /* used by PtAP */
92 void *data;
93 PetscCtxDestroyFn *destroy;
94 } MatProductCtx_MatTransMatMult;
95
96 typedef struct {
97 PetscInt *api, *apj; /* symbolic structure of A*P */
98 PetscScalar *apa; /* temporary array for storing one row of A*P */
99 } MatProductCtx_AP;
100
101 typedef struct {
102 MatTransposeColoring matcoloring;
103 Mat Rt; /* sparse or dense matrix of R^T */
104 Mat RARt; /* dense matrix of R*A*R^T */
105 Mat ARt; /* A*R^T used for the case -matrart_color_art */
106 MatScalar *work; /* work array to store columns of A*R^T used in MatMatMatMultNumeric_SeqAIJ_SeqAIJ_SeqDense() */
107 /* free intermediate products needed for PtAP */
108 void *data;
109 PetscCtxDestroyFn *destroy;
110 } MatProductCtx_RARt;
111
112 typedef struct {
113 Mat BC; /* temp matrix for storing B*C */
114 } MatProductCtx_MatMatMatMult;
115
116 /*
117 MATSEQAIJ format - Compressed row storage (also called Yale sparse matrix
118 format) or compressed sparse row (CSR). The i[] and j[] arrays start at 0. For example,
119 j[i[k]+p] is the pth column in row k. Note that the diagonal
120 matrix elements are stored with the rest of the nonzeros (not separately).
121 */
122
123 /* Info about i-nodes (identical nodes) helper class for SeqAIJ */
124 typedef struct {
125 /* data for MatSOR_SeqAIJ_Inode() */
126 MatScalar *bdiag, *ibdiag, *ssor_work; /* diagonal blocks of matrices */
127 PetscInt bdiagsize; /* length of bdiag and ibdiag */
128 PetscObjectState ibdiagState; /* state of the matrix when ibdiag[] and bdiag[] were constructed */
129
130 PetscBool use;
131 PetscInt node_count; /* number of inodes */
132 PetscInt *size_csr; /* inode sizes in csr with size_csr[0] = 0 and i-th node size = size_csr[i+1] - size_csr[i], to facilitate parallel computation */
133 PetscInt limit; /* inode limit */
134 PetscInt max_limit; /* maximum supported inode limit */
135 PetscBool checked; /* if inodes have been checked for */
136 PetscObjectState mat_nonzerostate; /* non-zero state when inodes were checked for */
137 } Mat_SeqAIJ_Inode;
138
139 PETSC_INTERN PetscErrorCode MatView_SeqAIJ_Inode(Mat, PetscViewer);
140 PETSC_INTERN PetscErrorCode MatAssemblyEnd_SeqAIJ_Inode(Mat, MatAssemblyType);
141 PETSC_INTERN PetscErrorCode MatDestroy_SeqAIJ_Inode(Mat);
142 PETSC_INTERN PetscErrorCode MatCreate_SeqAIJ_Inode(Mat);
143 PETSC_INTERN PetscErrorCode MatSetOption_SeqAIJ_Inode(Mat, MatOption, PetscBool);
144 PETSC_INTERN PetscErrorCode MatDuplicate_SeqAIJ_Inode(Mat, MatDuplicateOption, Mat *);
145 PETSC_INTERN PetscErrorCode MatDuplicateNoCreate_SeqAIJ(Mat, Mat, MatDuplicateOption, PetscBool);
146 PETSC_INTERN PetscErrorCode MatLUFactorNumeric_SeqAIJ_Inode(Mat, Mat, const MatFactorInfo *);
147 PETSC_INTERN PetscErrorCode MatSeqAIJGetArray_SeqAIJ(Mat, PetscScalar **);
148 PETSC_INTERN PetscErrorCode MatSeqAIJRestoreArray_SeqAIJ(Mat, PetscScalar **);
149
150 typedef struct {
151 SEQAIJHEADER(MatScalar);
152 Mat_SeqAIJ_Inode inode;
153 MatScalar *saved_values; /* location for stashing nonzero values of matrix */
154
155 /* data needed for MatSOR_SeqAIJ() */
156 PetscScalar *mdiag, *idiag; /* diagonal values, inverse of diagonal entries */
157 PetscScalar *ssor_work; /* workspace for Eisenstat trick */
158 PetscObjectState idiagState; /* state of the matrix when mdiag and idiag was obtained */
159 PetscScalar fshift, omega; /* last used omega and fshift */
160
161 PetscScalar *ibdiag; /* inverses of block diagonals */
162 PetscBool ibdiagvalid; /* inverses of block diagonals are valid. */
163
164 /* MatSetValues() via hash related fields */
165 PetscHMapIJV ht;
166 PetscInt *dnz;
167 struct _MatOps cops;
168 } Mat_SeqAIJ;
169
170 typedef struct {
171 PetscInt nz; /* nz of the matrix after assembly */
172 PetscCount n; /* Number of entries in MatSetPreallocationCOO() */
173 PetscCount Atot; /* Total number of valid (i.e., w/ non-negative indices) entries in the COO array */
174 PetscCount *jmap; /* perm[jmap[i]..jmap[i+1]) give indices of entries in v[] associated with i-th nonzero of the matrix */
175 PetscCount *perm; /* The permutation array in sorting (i,j) by row and then by col */
176 } MatCOOStruct_SeqAIJ;
177
178 #define MatSeqXAIJGetOptions_Private(A) \
179 { \
180 const PetscBool oldvalues = (PetscBool)(A != PETSC_NULLPTR); \
181 PetscInt nonew = 0, nounused = 0; \
182 PetscBool roworiented = PETSC_FALSE; \
183 if (oldvalues) { \
184 nonew = ((Mat_SeqAIJ *)A->data)->nonew; \
185 nounused = ((Mat_SeqAIJ *)A->data)->nounused; \
186 roworiented = ((Mat_SeqAIJ *)A->data)->roworiented; \
187 } \
188 (void)0
189
190 #define MatSeqXAIJRestoreOptions_Private(A) \
191 if (oldvalues) { \
192 ((Mat_SeqAIJ *)A->data)->nonew = nonew; \
193 ((Mat_SeqAIJ *)A->data)->nounused = nounused; \
194 ((Mat_SeqAIJ *)A->data)->roworiented = roworiented; \
195 } \
196 } \
197 (void)0
198
MatXAIJAllocatea(Mat A,PetscInt nz,PetscScalar ** array)199 static inline PetscErrorCode MatXAIJAllocatea(Mat A, PetscInt nz, PetscScalar **array)
200 {
201 Mat_SeqAIJ *a = (Mat_SeqAIJ *)A->data;
202
203 PetscFunctionBegin;
204 PetscCall(PetscShmgetAllocateArray(nz, sizeof(PetscScalar), (void **)array));
205 a->free_a = PETSC_TRUE;
206 PetscFunctionReturn(PETSC_SUCCESS);
207 }
208
MatXAIJDeallocatea(Mat A,PetscScalar ** array)209 static inline PetscErrorCode MatXAIJDeallocatea(Mat A, PetscScalar **array)
210 {
211 Mat_SeqAIJ *a = (Mat_SeqAIJ *)A->data;
212
213 PetscFunctionBegin;
214 if (a->free_a) PetscCall(PetscShmgetDeallocateArray((void **)array));
215 a->free_a = PETSC_FALSE;
216 PetscFunctionReturn(PETSC_SUCCESS);
217 }
218
219 /*
220 Frees the a, i, and j arrays from the XAIJ (AIJ, BAIJ, and SBAIJ) matrix types
221 */
MatSeqXAIJFreeAIJ(Mat AA,MatScalar ** a,PetscInt ** j,PetscInt ** i)222 static inline PetscErrorCode MatSeqXAIJFreeAIJ(Mat AA, MatScalar **a, PetscInt **j, PetscInt **i)
223 {
224 Mat_SeqAIJ *A = (Mat_SeqAIJ *)AA->data;
225
226 PetscFunctionBegin;
227 if (A->free_a) PetscCall(PetscShmgetDeallocateArray((void **)a));
228 if (A->free_ij) PetscCall(PetscShmgetDeallocateArray((void **)j));
229 if (A->free_ij) PetscCall(PetscShmgetDeallocateArray((void **)i));
230 PetscFunctionReturn(PETSC_SUCCESS);
231 }
232 /*
233 Allocates larger a, i, and j arrays for the XAIJ (AIJ, BAIJ, and SBAIJ) matrix types
234 This is a macro because it takes the datatype as an argument which can be either a Mat or a MatScalar
235 */
236 #define MatSeqXAIJReallocateAIJ(Amat, AM, BS2, NROW, ROW, COL, RMAX, AA, AI, AJ, RP, AP, AIMAX, NONEW, datatype) \
237 do { \
238 if (NROW >= RMAX) { \
239 Mat_SeqAIJ *Ain = (Mat_SeqAIJ *)Amat->data; \
240 PetscInt CHUNKSIZE = 15, new_nz = AI[AM] + CHUNKSIZE, len, *new_i = NULL, *new_j = NULL; \
241 datatype *new_a; \
242 \
243 PetscCheck(NONEW != -2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "New nonzero at (%" PetscInt_FMT ",%" PetscInt_FMT ") caused a malloc. Use MatSetOption(A, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE) to turn off this check", ROW, COL); \
244 /* malloc new storage space */ \
245 PetscCall(PetscShmgetAllocateArray(BS2 * new_nz, sizeof(PetscScalar), (void **)&new_a)); \
246 PetscCall(PetscShmgetAllocateArray(new_nz, sizeof(PetscInt), (void **)&new_j)); \
247 PetscCall(PetscShmgetAllocateArray(AM + 1, sizeof(PetscInt), (void **)&new_i)); \
248 Ain->free_a = PETSC_TRUE; \
249 Ain->free_ij = PETSC_TRUE; \
250 /* copy over old data into new slots */ \
251 for (ii = 0; ii < ROW + 1; ii++) new_i[ii] = AI[ii]; \
252 for (ii = ROW + 1; ii < AM + 1; ii++) new_i[ii] = AI[ii] + CHUNKSIZE; \
253 PetscCall(PetscArraycpy(new_j, AJ, AI[ROW] + NROW)); \
254 len = (new_nz - CHUNKSIZE - AI[ROW] - NROW); \
255 PetscCall(PetscArraycpy(new_j + AI[ROW] + NROW + CHUNKSIZE, PetscSafePointerPlusOffset(AJ, AI[ROW] + NROW), len)); \
256 PetscCall(PetscArraycpy(new_a, AA, BS2 * (AI[ROW] + NROW))); \
257 PetscCall(PetscArrayzero(new_a + BS2 * (AI[ROW] + NROW), BS2 * CHUNKSIZE)); \
258 PetscCall(PetscArraycpy(new_a + BS2 * (AI[ROW] + NROW + CHUNKSIZE), PetscSafePointerPlusOffset(AA, BS2 * (AI[ROW] + NROW)), BS2 * len)); \
259 /* free up old matrix storage */ \
260 PetscCall(MatSeqXAIJFreeAIJ(A, &Ain->a, &Ain->j, &Ain->i)); \
261 AA = new_a; \
262 Ain->a = new_a; \
263 AI = Ain->i = new_i; \
264 AJ = Ain->j = new_j; \
265 \
266 RP = AJ + AI[ROW]; \
267 AP = AA + BS2 * AI[ROW]; \
268 RMAX = AIMAX[ROW] = AIMAX[ROW] + CHUNKSIZE; \
269 Ain->maxnz += BS2 * CHUNKSIZE; \
270 Ain->reallocs++; \
271 Amat->nonzerostate++; \
272 } \
273 } while (0)
274
275 #define MatSeqXAIJReallocateAIJ_structure_only(Amat, AM, BS2, NROW, ROW, COL, RMAX, AI, AJ, RP, AIMAX, NONEW, datatype) \
276 do { \
277 if (NROW >= RMAX) { \
278 Mat_SeqAIJ *Ain = (Mat_SeqAIJ *)Amat->data; \
279 /* there is no extra room in row, therefore enlarge */ \
280 PetscInt CHUNKSIZE = 15, new_nz = AI[AM] + CHUNKSIZE, len, *new_i = NULL, *new_j = NULL; \
281 \
282 PetscCheck(NONEW != -2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "New nonzero at (%" PetscInt_FMT ",%" PetscInt_FMT ") caused a malloc. Use MatSetOption(A, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE) to turn off this check", ROW, COL); \
283 /* malloc new storage space */ \
284 PetscCall(PetscShmgetAllocateArray(new_nz, sizeof(PetscInt), (void **)&new_j)); \
285 PetscCall(PetscShmgetAllocateArray(AM + 1, sizeof(PetscInt), (void **)&new_i)); \
286 Ain->free_a = PETSC_FALSE; \
287 Ain->free_ij = PETSC_TRUE; \
288 \
289 /* copy over old data into new slots */ \
290 for (ii = 0; ii < ROW + 1; ii++) new_i[ii] = AI[ii]; \
291 for (ii = ROW + 1; ii < AM + 1; ii++) new_i[ii] = AI[ii] + CHUNKSIZE; \
292 PetscCall(PetscArraycpy(new_j, AJ, AI[ROW] + NROW)); \
293 len = (new_nz - CHUNKSIZE - AI[ROW] - NROW); \
294 PetscCall(PetscArraycpy(new_j + AI[ROW] + NROW + CHUNKSIZE, AJ + AI[ROW] + NROW, len)); \
295 \
296 /* free up old matrix storage */ \
297 PetscCall(MatSeqXAIJFreeAIJ(A, &Ain->a, &Ain->j, &Ain->i)); \
298 Ain->a = NULL; \
299 AI = Ain->i = new_i; \
300 AJ = Ain->j = new_j; \
301 \
302 RP = AJ + AI[ROW]; \
303 RMAX = AIMAX[ROW] = AIMAX[ROW] + CHUNKSIZE; \
304 Ain->maxnz += BS2 * CHUNKSIZE; \
305 Ain->reallocs++; \
306 Amat->nonzerostate++; \
307 } \
308 } while (0)
309
310 PETSC_INTERN PetscErrorCode MatSeqAIJSetPreallocation_SeqAIJ(Mat, PetscInt, const PetscInt *);
311 PETSC_INTERN PetscErrorCode MatSetPreallocationCOO_SeqAIJ(Mat, PetscCount, PetscInt[], PetscInt[]);
312
313 PETSC_INTERN PetscErrorCode MatILUFactorSymbolic_SeqAIJ(Mat, Mat, IS, IS, const MatFactorInfo *);
314 PETSC_INTERN PetscErrorCode MatILUFactorSymbolic_SeqAIJ_ilu0(Mat, Mat, IS, IS, const MatFactorInfo *);
315
316 PETSC_INTERN PetscErrorCode MatICCFactorSymbolic_SeqAIJ(Mat, Mat, IS, const MatFactorInfo *);
317 PETSC_INTERN PetscErrorCode MatCholeskyFactorSymbolic_SeqAIJ(Mat, Mat, IS, const MatFactorInfo *);
318 PETSC_INTERN PetscErrorCode MatCholeskyFactorNumeric_SeqAIJ_inplace(Mat, Mat, const MatFactorInfo *);
319 PETSC_INTERN PetscErrorCode MatCholeskyFactorNumeric_SeqAIJ(Mat, Mat, const MatFactorInfo *);
320 PETSC_INTERN PetscErrorCode MatDuplicate_SeqAIJ(Mat, MatDuplicateOption, Mat *);
321 PETSC_INTERN PetscErrorCode MatCopy_SeqAIJ(Mat, Mat, MatStructure);
322 PETSC_EXTERN PetscErrorCode MatGetDiagonalMarkers_SeqAIJ(Mat, const PetscInt **, PetscBool *);
323 PETSC_INTERN PetscErrorCode MatFindZeroDiagonals_SeqAIJ_Private(Mat, PetscInt *, PetscInt **);
324
325 PETSC_INTERN PetscErrorCode MatMult_SeqAIJ(Mat, Vec, Vec);
326 PETSC_INTERN PetscErrorCode MatMult_SeqAIJ_Inode(Mat, Vec, Vec);
327 PETSC_INTERN PetscErrorCode MatMultAdd_SeqAIJ(Mat, Vec, Vec, Vec);
328 PETSC_INTERN PetscErrorCode MatMultAdd_SeqAIJ_Inode(Mat, Vec, Vec, Vec);
329 PETSC_INTERN PetscErrorCode MatMultTranspose_SeqAIJ(Mat, Vec, Vec);
330 PETSC_INTERN PetscErrorCode MatMultTransposeAdd_SeqAIJ(Mat, Vec, Vec, Vec);
331 PETSC_INTERN PetscErrorCode MatSOR_SeqAIJ(Mat, Vec, PetscReal, MatSORType, PetscReal, PetscInt, PetscInt, Vec);
332 PETSC_INTERN PetscErrorCode MatSOR_SeqAIJ_Inode(Mat, Vec, PetscReal, MatSORType, PetscReal, PetscInt, PetscInt, Vec);
333
334 PETSC_INTERN PetscErrorCode MatSetOption_SeqAIJ(Mat, MatOption, PetscBool);
335
336 PETSC_INTERN PetscErrorCode MatGetSymbolicTranspose_SeqAIJ(Mat, PetscInt *[], PetscInt *[]);
337 PETSC_INTERN PetscErrorCode MatRestoreSymbolicTranspose_SeqAIJ(Mat, PetscInt *[], PetscInt *[]);
338 PETSC_INTERN PetscErrorCode MatGetSymbolicTransposeReduced_SeqAIJ(Mat, PetscInt, PetscInt, PetscInt *[], PetscInt *[]);
339 PETSC_INTERN PetscErrorCode MatTransposeSymbolic_SeqAIJ(Mat, Mat *);
340 PETSC_INTERN PetscErrorCode MatTranspose_SeqAIJ(Mat, MatReuse, Mat *);
341
342 PETSC_INTERN PetscErrorCode MatToSymmetricIJ_SeqAIJ(PetscInt, PetscInt *, PetscInt *, PetscBool, PetscInt, PetscInt, PetscInt **, PetscInt **);
343 PETSC_INTERN PetscErrorCode MatLUFactorSymbolic_SeqAIJ(Mat, Mat, IS, IS, const MatFactorInfo *);
344 PETSC_INTERN PetscErrorCode MatLUFactorNumeric_SeqAIJ_inplace(Mat, Mat, const MatFactorInfo *);
345 PETSC_INTERN PetscErrorCode MatLUFactorNumeric_SeqAIJ(Mat, Mat, const MatFactorInfo *);
346 PETSC_INTERN PetscErrorCode MatLUFactorNumeric_SeqAIJ_InplaceWithPerm(Mat, Mat, const MatFactorInfo *);
347 PETSC_INTERN PetscErrorCode MatLUFactor_SeqAIJ(Mat, IS, IS, const MatFactorInfo *);
348 PETSC_INTERN PetscErrorCode MatSolve_SeqAIJ_inplace(Mat, Vec, Vec);
349 PETSC_INTERN PetscErrorCode MatSolve_SeqAIJ(Mat, Vec, Vec);
350 PETSC_INTERN PetscErrorCode MatSolve_SeqAIJ_Inode(Mat, Vec, Vec);
351 PETSC_INTERN PetscErrorCode MatSolve_SeqAIJ_NaturalOrdering(Mat, Vec, Vec);
352 PETSC_INTERN PetscErrorCode MatSolveAdd_SeqAIJ(Mat, Vec, Vec, Vec);
353 PETSC_INTERN PetscErrorCode MatSolveTranspose_SeqAIJ_inplace(Mat, Vec, Vec);
354 PETSC_INTERN PetscErrorCode MatSolveTranspose_SeqAIJ(Mat, Vec, Vec);
355 PETSC_INTERN PetscErrorCode MatSolveTransposeAdd_SeqAIJ_inplace(Mat, Vec, Vec, Vec);
356 PETSC_INTERN PetscErrorCode MatSolveTransposeAdd_SeqAIJ(Mat, Vec, Vec, Vec);
357 PETSC_INTERN PetscErrorCode MatMatSolve_SeqAIJ(Mat, Mat, Mat);
358 PETSC_INTERN PetscErrorCode MatMatSolveTranspose_SeqAIJ(Mat, Mat, Mat);
359 PETSC_INTERN PetscErrorCode MatEqual_SeqAIJ(Mat, Mat, PetscBool *);
360 PETSC_INTERN PetscErrorCode MatFDColoringCreate_SeqXAIJ(Mat, ISColoring, MatFDColoring);
361 PETSC_INTERN PetscErrorCode MatFDColoringSetUp_SeqXAIJ(Mat, ISColoring, MatFDColoring);
362 PETSC_INTERN PetscErrorCode MatFDColoringSetUpBlocked_AIJ_Private(Mat, MatFDColoring, PetscInt);
363 PETSC_INTERN PetscErrorCode MatLoad_AIJ_HDF5(Mat, PetscViewer);
364 PETSC_INTERN PetscErrorCode MatLoad_SeqAIJ_Binary(Mat, PetscViewer);
365 PETSC_INTERN PetscErrorCode MatLoad_SeqAIJ(Mat, PetscViewer);
366 PETSC_INTERN PetscErrorCode RegisterApplyPtAPRoutines_Private(Mat);
367
368 #if defined(PETSC_HAVE_HYPRE)
369 PETSC_INTERN PetscErrorCode MatProductSetFromOptions_Transpose_AIJ_AIJ(Mat);
370 #endif
371 PETSC_INTERN PetscErrorCode MatProductSetFromOptions_SeqAIJ(Mat);
372
373 PETSC_INTERN PetscErrorCode MatProductSymbolic_SeqAIJ_SeqAIJ(Mat);
374 PETSC_INTERN PetscErrorCode MatProductSymbolic_PtAP_SeqAIJ_SeqAIJ(Mat);
375 PETSC_INTERN PetscErrorCode MatProductSymbolic_RARt_SeqAIJ_SeqAIJ(Mat);
376
377 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_SeqAIJ_SeqAIJ(Mat, Mat, PetscReal, Mat);
378 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_SeqAIJ_SeqAIJ_Sorted(Mat, Mat, PetscReal, Mat);
379 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_SeqDense_SeqAIJ(Mat, Mat, PetscReal, Mat);
380 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_SeqAIJ_SeqAIJ_Scalable(Mat, Mat, PetscReal, Mat);
381 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_SeqAIJ_SeqAIJ_Scalable_fast(Mat, Mat, PetscReal, Mat);
382 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_SeqAIJ_SeqAIJ_Heap(Mat, Mat, PetscReal, Mat);
383 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_SeqAIJ_SeqAIJ_BTHeap(Mat, Mat, PetscReal, Mat);
384 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_SeqAIJ_SeqAIJ_RowMerge(Mat, Mat, PetscReal, Mat);
385 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_SeqAIJ_SeqAIJ_LLCondensed(Mat, Mat, PetscReal, Mat);
386 #if defined(PETSC_HAVE_HYPRE)
387 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_AIJ_AIJ_wHYPRE(Mat, Mat, PetscReal, Mat);
388 #endif
389
390 PETSC_INTERN PetscErrorCode MatMatMultNumeric_SeqAIJ_SeqAIJ(Mat, Mat, Mat);
391 PETSC_INTERN PetscErrorCode MatMatMultNumeric_SeqAIJ_SeqAIJ_Sorted(Mat, Mat, Mat);
392
393 PETSC_INTERN PetscErrorCode MatMatMultNumeric_SeqDense_SeqAIJ(Mat, Mat, Mat);
394 PETSC_INTERN PetscErrorCode MatMatMultNumeric_SeqAIJ_SeqAIJ_Scalable(Mat, Mat, Mat);
395
396 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_SeqAIJ_SeqAIJ_SparseAxpy(Mat, Mat, PetscReal, Mat);
397 PETSC_INTERN PetscErrorCode MatPtAPNumeric_SeqAIJ_SeqAIJ(Mat, Mat, Mat);
398 PETSC_INTERN PetscErrorCode MatPtAPNumeric_SeqAIJ_SeqAIJ_SparseAxpy(Mat, Mat, Mat);
399
400 PETSC_INTERN PetscErrorCode MatRARtSymbolic_SeqAIJ_SeqAIJ(Mat, Mat, PetscReal, Mat);
401 PETSC_INTERN PetscErrorCode MatRARtSymbolic_SeqAIJ_SeqAIJ_matmattransposemult(Mat, Mat, PetscReal, Mat);
402 PETSC_INTERN PetscErrorCode MatRARtSymbolic_SeqAIJ_SeqAIJ_colorrart(Mat, Mat, PetscReal, Mat);
403 PETSC_INTERN PetscErrorCode MatRARtNumeric_SeqAIJ_SeqAIJ(Mat, Mat, Mat);
404 PETSC_INTERN PetscErrorCode MatRARtNumeric_SeqAIJ_SeqAIJ_matmattransposemult(Mat, Mat, Mat);
405 PETSC_INTERN PetscErrorCode MatRARtNumeric_SeqAIJ_SeqAIJ_colorrart(Mat, Mat, Mat);
406
407 PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_SeqAIJ_SeqAIJ(Mat, Mat, PetscReal, Mat);
408 PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_SeqAIJ_SeqAIJ(Mat, Mat, Mat);
409 PETSC_INTERN PetscErrorCode MatProductCtxDestroy_SeqAIJ_MatTransMatMult(PetscCtxRt);
410
411 PETSC_INTERN PetscErrorCode MatMatTransposeMultSymbolic_SeqAIJ_SeqAIJ(Mat, Mat, PetscReal, Mat);
412 PETSC_INTERN PetscErrorCode MatMatTransposeMultNumeric_SeqAIJ_SeqAIJ(Mat, Mat, Mat);
413 PETSC_INTERN PetscErrorCode MatTransposeColoringCreate_SeqAIJ(Mat, ISColoring, MatTransposeColoring);
414 PETSC_INTERN PetscErrorCode MatTransColoringApplySpToDen_SeqAIJ(MatTransposeColoring, Mat, Mat);
415 PETSC_INTERN PetscErrorCode MatTransColoringApplyDenToSp_SeqAIJ(MatTransposeColoring, Mat, Mat);
416
417 PETSC_INTERN PetscErrorCode MatMatMatMultSymbolic_SeqAIJ_SeqAIJ_SeqAIJ(Mat, Mat, Mat, PetscReal, Mat);
418 PETSC_INTERN PetscErrorCode MatMatMatMultNumeric_SeqAIJ_SeqAIJ_SeqAIJ(Mat, Mat, Mat, Mat);
419
420 PETSC_INTERN PetscErrorCode MatSetRandomSkipColumnRange_SeqAIJ_Private(Mat, PetscInt, PetscInt, PetscRandom);
421 PETSC_INTERN PetscErrorCode MatSetValues_SeqAIJ(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
422 PETSC_INTERN PetscErrorCode MatGetRow_SeqAIJ(Mat, PetscInt, PetscInt *, PetscInt **, PetscScalar **);
423 PETSC_INTERN PetscErrorCode MatRestoreRow_SeqAIJ(Mat, PetscInt, PetscInt *, PetscInt **, PetscScalar **);
424 PETSC_INTERN PetscErrorCode MatScale_SeqAIJ(Mat, PetscScalar);
425 PETSC_INTERN PetscErrorCode MatDiagonalScale_SeqAIJ(Mat, Vec, Vec);
426 PETSC_INTERN PetscErrorCode MatDiagonalSet_SeqAIJ(Mat, Vec, InsertMode);
427 PETSC_INTERN PetscErrorCode MatAXPY_SeqAIJ(Mat, PetscScalar, Mat, MatStructure);
428 PETSC_INTERN PetscErrorCode MatGetRowIJ_SeqAIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
429 PETSC_INTERN PetscErrorCode MatRestoreRowIJ_SeqAIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
430 PETSC_INTERN PetscErrorCode MatGetColumnIJ_SeqAIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
431 PETSC_INTERN PetscErrorCode MatRestoreColumnIJ_SeqAIJ(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscBool *);
432 PETSC_INTERN PetscErrorCode MatGetColumnIJ_SeqAIJ_Color(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscInt *[], PetscBool *);
433 PETSC_INTERN PetscErrorCode MatRestoreColumnIJ_SeqAIJ_Color(Mat, PetscInt, PetscBool, PetscBool, PetscInt *, const PetscInt *[], const PetscInt *[], PetscInt *[], PetscBool *);
434 PETSC_INTERN PetscErrorCode MatDestroy_SeqAIJ(Mat);
435 PETSC_INTERN PetscErrorCode MatView_SeqAIJ(Mat, PetscViewer);
436
437 PETSC_INTERN PetscErrorCode MatSeqAIJCheckInode(Mat);
438 PETSC_INTERN PetscErrorCode MatSeqAIJCheckInode_FactorLU(Mat);
439
440 PETSC_INTERN PetscErrorCode MatAXPYGetPreallocation_SeqAIJ(Mat, Mat, PetscInt *);
441
442 #if defined(PETSC_HAVE_MATLAB)
443 PETSC_EXTERN PetscErrorCode MatlabEnginePut_SeqAIJ(PetscObject, void *);
444 PETSC_EXTERN PetscErrorCode MatlabEngineGet_SeqAIJ(PetscObject, void *);
445 #endif
446 PETSC_INTERN PetscErrorCode MatConvert_SeqAIJ_SeqSBAIJ(Mat, MatType, MatReuse, Mat *);
447 PETSC_INTERN PetscErrorCode MatConvert_SeqAIJ_SeqBAIJ(Mat, MatType, MatReuse, Mat *);
448 PETSC_INTERN PetscErrorCode MatConvert_SeqAIJ_SeqDense(Mat, MatType, MatReuse, Mat *);
449 PETSC_INTERN PetscErrorCode MatConvert_SeqAIJ_SeqAIJCRL(Mat, MatType, MatReuse, Mat *);
450 PETSC_INTERN PetscErrorCode MatConvert_SeqAIJ_Elemental(Mat, MatType, MatReuse, Mat *);
451 #if defined(PETSC_HAVE_SCALAPACK)
452 PETSC_INTERN PetscErrorCode MatConvert_AIJ_ScaLAPACK(Mat, MatType, MatReuse, Mat *);
453 #endif
454 PETSC_INTERN PetscErrorCode MatConvert_AIJ_HYPRE(Mat, MatType, MatReuse, Mat *);
455 PETSC_INTERN PetscErrorCode MatConvert_SeqAIJ_SeqAIJPERM(Mat, MatType, MatReuse, Mat *);
456 PETSC_INTERN PetscErrorCode MatConvert_SeqAIJ_SeqAIJSELL(Mat, MatType, MatReuse, Mat *);
457 PETSC_INTERN PetscErrorCode MatConvert_SeqAIJ_SeqAIJMKL(Mat, MatType, MatReuse, Mat *);
458 PETSC_INTERN PetscErrorCode MatConvert_SeqAIJ_SeqAIJViennaCL(Mat, MatType, MatReuse, Mat *);
459 PETSC_INTERN PetscErrorCode MatReorderForNonzeroDiagonal_SeqAIJ(Mat, PetscReal, IS, IS);
460 PETSC_INTERN PetscErrorCode MatRARt_SeqAIJ_SeqAIJ(Mat, Mat, MatReuse, PetscReal, Mat *);
461 PETSC_EXTERN PetscErrorCode MatCreate_SeqAIJ(Mat);
462 PETSC_INTERN PetscErrorCode MatAssemblyEnd_SeqAIJ(Mat, MatAssemblyType);
463 PETSC_INTERN PetscErrorCode MatZeroEntries_SeqAIJ(Mat);
464
465 PETSC_INTERN PetscErrorCode MatAXPYGetPreallocation_SeqX_private(PetscInt, const PetscInt *, const PetscInt *, const PetscInt *, const PetscInt *, PetscInt *);
466 PETSC_INTERN PetscErrorCode MatCreateMPIMatConcatenateSeqMat_SeqAIJ(MPI_Comm, Mat, PetscInt, MatReuse, Mat *);
467 PETSC_INTERN PetscErrorCode MatCreateMPIMatConcatenateSeqMat_MPIAIJ(MPI_Comm, Mat, PetscInt, MatReuse, Mat *);
468
469 PETSC_INTERN PetscErrorCode MatSetSeqMat_SeqAIJ(Mat, IS, IS, MatStructure, Mat);
470 PETSC_INTERN PetscErrorCode MatEliminateZeros_SeqAIJ(Mat, PetscBool);
471 PETSC_INTERN PetscErrorCode MatDestroySubMatrix_Private(Mat_SubSppt *);
472 PETSC_INTERN PetscErrorCode MatDestroySubMatrix_SeqAIJ(Mat);
473 PETSC_INTERN PetscErrorCode MatDestroySubMatrix_Dummy(Mat);
474 PETSC_INTERN PetscErrorCode MatDestroySubMatrices_Dummy(PetscInt, Mat *[]);
475 PETSC_INTERN PetscErrorCode MatCreateSubMatrix_SeqAIJ(Mat, IS, IS, PetscInt, MatReuse, Mat *);
476
477 PETSC_INTERN PetscErrorCode MatSetSeqAIJWithArrays_private(MPI_Comm, PetscInt, PetscInt, PetscInt[], PetscInt[], PetscScalar[], MatType, Mat);
478
479 PETSC_INTERN PetscErrorCode MatResetPreallocation_SeqAIJ_Private(Mat A, PetscBool *memoryreset);
480
481 PETSC_SINGLE_LIBRARY_INTERN PetscErrorCode MatSeqAIJCompactOutExtraColumns_SeqAIJ(Mat, ISLocalToGlobalMapping *);
482
483 /*
484 PetscSparseDenseMinusDot - The inner kernel of triangular solves and Gauss-Siedel smoothing. \sum_i xv[i] * r[xi[i]] for CSR storage
485
486 Input Parameters:
487 + nnz - the number of entries
488 . r - the array of vector values
489 . xv - the matrix values for the row
490 - xi - the column indices of the nonzeros in the row
491
492 Output Parameter:
493 . sum - negative the sum of results
494
495 PETSc compile flags:
496 + PETSC_KERNEL_USE_UNROLL_4
497 - PETSC_KERNEL_USE_UNROLL_2
498
499 Developer Note:
500 The macro changes sum but not other parameters
501
502 .seealso: `PetscSparseDensePlusDot()`
503 */
504 #if defined(PETSC_KERNEL_USE_UNROLL_4)
505 #define PetscSparseDenseMinusDot(sum, r, xv, xi, nnz) \
506 do { \
507 if (nnz > 0) { \
508 PetscInt nnz2 = nnz, rem = nnz & 0x3; \
509 switch (rem) { \
510 case 3: \
511 sum -= *xv++ * r[*xi++]; \
512 case 2: \
513 sum -= *xv++ * r[*xi++]; \
514 case 1: \
515 sum -= *xv++ * r[*xi++]; \
516 nnz2 -= rem; \
517 } \
518 while (nnz2 > 0) { \
519 sum -= xv[0] * r[xi[0]] + xv[1] * r[xi[1]] + xv[2] * r[xi[2]] + xv[3] * r[xi[3]]; \
520 xv += 4; \
521 xi += 4; \
522 nnz2 -= 4; \
523 } \
524 xv -= nnz; \
525 xi -= nnz; \
526 } \
527 } while (0)
528
529 #elif defined(PETSC_KERNEL_USE_UNROLL_2)
530 #define PetscSparseDenseMinusDot(sum, r, xv, xi, nnz) \
531 do { \
532 PetscInt __i, __i1, __i2; \
533 for (__i = 0; __i < nnz - 1; __i += 2) { \
534 __i1 = xi[__i]; \
535 __i2 = xi[__i + 1]; \
536 sum -= (xv[__i] * r[__i1] + xv[__i + 1] * r[__i2]); \
537 } \
538 if (nnz & 0x1) sum -= xv[__i] * r[xi[__i]]; \
539 } while (0)
540
541 #else
542 #define PetscSparseDenseMinusDot(sum, r, xv, xi, nnz) \
543 do { \
544 PetscInt __i; \
545 for (__i = 0; __i < nnz; __i++) sum -= xv[__i] * r[xi[__i]]; \
546 } while (0)
547 #endif
548
549 /*
550 PetscSparseDensePlusDot - The inner kernel of matrix-vector product \sum_i xv[i] * r[xi[i]] for CSR storage
551
552 Input Parameters:
553 + nnz - the number of entries
554 . r - the array of vector values
555 . xv - the matrix values for the row
556 - xi - the column indices of the nonzeros in the row
557
558 Output Parameter:
559 . sum - the sum of results
560
561 PETSc compile flags:
562 + PETSC_KERNEL_USE_UNROLL_4
563 - PETSC_KERNEL_USE_UNROLL_2
564
565 Developer Note:
566 The macro changes sum but not other parameters
567
568 .seealso: `PetscSparseDenseMinusDot()`
569 */
570 #if defined(PETSC_KERNEL_USE_UNROLL_4)
571 #define PetscSparseDensePlusDot(sum, r, xv, xi, nnz) \
572 do { \
573 if (nnz > 0) { \
574 PetscInt nnz2 = nnz, rem = nnz & 0x3; \
575 switch (rem) { \
576 case 3: \
577 sum += *xv++ * r[*xi++]; \
578 case 2: \
579 sum += *xv++ * r[*xi++]; \
580 case 1: \
581 sum += *xv++ * r[*xi++]; \
582 nnz2 -= rem; \
583 } \
584 while (nnz2 > 0) { \
585 sum += xv[0] * r[xi[0]] + xv[1] * r[xi[1]] + xv[2] * r[xi[2]] + xv[3] * r[xi[3]]; \
586 xv += 4; \
587 xi += 4; \
588 nnz2 -= 4; \
589 } \
590 xv -= nnz; \
591 xi -= nnz; \
592 } \
593 } while (0)
594
595 #elif defined(PETSC_KERNEL_USE_UNROLL_2)
596 #define PetscSparseDensePlusDot(sum, r, xv, xi, nnz) \
597 do { \
598 PetscInt __i, __i1, __i2; \
599 for (__i = 0; __i < nnz - 1; __i += 2) { \
600 __i1 = xi[__i]; \
601 __i2 = xi[__i + 1]; \
602 sum += (xv[__i] * r[__i1] + xv[__i + 1] * r[__i2]); \
603 } \
604 if (nnz & 0x1) sum += xv[__i] * r[xi[__i]]; \
605 } while (0)
606
607 #elif !(defined(__GNUC__) && defined(_OPENMP)) && defined(PETSC_USE_AVX512_KERNELS) && defined(PETSC_HAVE_IMMINTRIN_H) && defined(__AVX512F__) && defined(PETSC_USE_REAL_DOUBLE) && !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_64BIT_INDICES) && !defined(PETSC_SKIP_IMMINTRIN_H_CUDAWORKAROUND)
608 #define PetscSparseDensePlusDot(sum, r, xv, xi, nnz) PetscSparseDensePlusDot_AVX512_Private(&(sum), (r), (xv), (xi), (nnz))
609
610 #else
611 #define PetscSparseDensePlusDot(sum, r, xv, xi, nnz) \
612 do { \
613 PetscInt __i; \
614 for (__i = 0; __i < nnz; __i++) sum += xv[__i] * r[xi[__i]]; \
615 } while (0)
616 #endif
617
618 #if defined(PETSC_USE_AVX512_KERNELS) && defined(PETSC_HAVE_IMMINTRIN_H) && defined(__AVX512F__) && defined(PETSC_USE_REAL_DOUBLE) && !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_64BIT_INDICES) && !defined(PETSC_SKIP_IMMINTRIN_H_CUDAWORKAROUND)
619 #include <immintrin.h>
620 #if !defined(_MM_SCALE_8)
621 #define _MM_SCALE_8 8
622 #endif
623
PetscSparseDensePlusDot_AVX512_Private(PetscScalar * sum,const PetscScalar * x,const MatScalar * aa,const PetscInt * aj,PetscInt n)624 static inline void PetscSparseDensePlusDot_AVX512_Private(PetscScalar *sum, const PetscScalar *x, const MatScalar *aa, const PetscInt *aj, PetscInt n)
625 {
626 __m512d vec_x, vec_y, vec_vals;
627 __m256i vec_idx;
628 PetscInt j;
629
630 vec_y = _mm512_setzero_pd();
631 for (j = 0; j < (n >> 3); j++) {
632 vec_idx = _mm256_loadu_si256((__m256i const *)aj);
633 vec_vals = _mm512_loadu_pd(aa);
634 vec_x = _mm512_i32gather_pd(vec_idx, x, _MM_SCALE_8);
635 vec_y = _mm512_fmadd_pd(vec_x, vec_vals, vec_y);
636 aj += 8;
637 aa += 8;
638 }
639 #if defined(__AVX512VL__)
640 /* masked load requires avx512vl, which is not supported by KNL */
641 if (n & 0x07) {
642 __mmask8 mask;
643 mask = (__mmask8)(0xff >> (8 - (n & 0x07)));
644 vec_idx = _mm256_mask_loadu_epi32(vec_idx, mask, aj);
645 vec_vals = _mm512_mask_loadu_pd(vec_vals, mask, aa);
646 vec_x = _mm512_mask_i32gather_pd(vec_x, mask, vec_idx, x, _MM_SCALE_8);
647 vec_y = _mm512_mask3_fmadd_pd(vec_x, vec_vals, vec_y, mask);
648 }
649 *sum += _mm512_reduce_add_pd(vec_y);
650 #else
651 *sum += _mm512_reduce_add_pd(vec_y);
652 for (j = 0; j < (n & 0x07); j++) *sum += aa[j] * x[aj[j]];
653 #endif
654 }
655 #endif
656
657 /*
658 PetscSparseDenseMaxDot - The inner kernel of a modified matrix-vector product \max_i xv[i] * r[xi[i]] for CSR storage
659
660 Input Parameters:
661 + nnz - the number of entries
662 . r - the array of vector values
663 . xv - the matrix values for the row
664 - xi - the column indices of the nonzeros in the row
665
666 Output Parameter:
667 . max - the max of results
668
669 .seealso: `PetscSparseDensePlusDot()`, `PetscSparseDenseMinusDot()`
670 */
671 #define PetscSparseDenseMaxDot(max, r, xv, xi, nnz) \
672 do { \
673 for (PetscInt __i = 0; __i < (nnz); __i++) max = PetscMax(PetscRealPart(max), PetscRealPart((xv)[__i] * (r)[(xi)[__i]])); \
674 } while (0)
675
676 /*
677 Add column indices into table for counting the max nonzeros of merged rows
678 */
679 #define MatRowMergeMax_SeqAIJ(mat, nrows, ta) \
680 do { \
681 if (mat) { \
682 for (PetscInt _row = 0; _row < (nrows); _row++) { \
683 const PetscInt _nz = (mat)->i[_row + 1] - (mat)->i[_row]; \
684 for (PetscInt _j = 0; _j < _nz; _j++) { \
685 PetscInt *_col = _j + (mat)->j + (mat)->i[_row]; \
686 PetscCall(PetscHMapISet((ta), *_col + 1, 1)); \
687 } \
688 } \
689 } \
690 } while (0)
691
692 /*
693 Add column indices into table for counting the nonzeros of merged rows
694 */
695 #define MatMergeRows_SeqAIJ(mat, nrows, rows, ta) \
696 do { \
697 for (PetscInt _i = 0; _i < (nrows); _i++) { \
698 const PetscInt _row = (rows)[_i]; \
699 const PetscInt _nz = (mat)->i[_row + 1] - (mat)->i[_row]; \
700 for (PetscInt _j = 0; _j < _nz; _j++) { \
701 PetscInt *_col = _j + (mat)->j + (mat)->i[_row]; \
702 PetscCall(PetscHMapISetWithMode((ta), *_col + 1, 1, INSERT_VALUES)); \
703 } \
704 } \
705 } while (0)
706