Actual source code: mpiaij.h
1: #ifndef __MPIAIJ_H
4: #include <../src/mat/impls/aij/seq/aij.h>
6: typedef struct { /* used by MatCreateMPIAIJSumSeqAIJ for reusing the merged matrix */
7: PetscLayout rowmap;
8: PetscInt **buf_ri, **buf_rj;
9: PetscMPIInt *len_s, *len_r, *id_r; /* array of length of comm->size, store send/recv matrix values */
10: PetscMPIInt nsend, nrecv;
11: PetscInt *bi, *bj; /* i and j array of the local portion of mpi C (matrix product) - rename to ci, cj! */
12: PetscInt *owners_co, *coi, *coj; /* i and j array of (p->B)^T*A*P - used in the communication */
13: } Mat_Merge_SeqsToMPI;
15: typedef struct { /* used by MatPtAPXXX_MPIAIJ_MPIAIJ() and MatMatMultXXX_MPIAIJ_MPIAIJ() */
16: PetscInt *startsj_s, *startsj_r; /* used by MatGetBrowsOfAoCols_MPIAIJ */
17: PetscScalar *bufa; /* used by MatGetBrowsOfAoCols_MPIAIJ */
18: Mat P_loc, P_oth; /* partial B_seq -- intend to replace B_seq */
19: PetscInt *api, *apj; /* symbolic i and j arrays of the local product A_loc*B_seq */
20: PetscScalar *apv;
21: MatReuse reuse; /* flag to skip MatGetBrowsOfAoCols_MPIAIJ() and MatMPIAIJGetLocalMat() in 1st call of MatPtAPNumeric_MPIAIJ_MPIAIJ() */
22: PetscScalar *apa; /* tmp array for store a row of A*P used in MatMatMult() */
23: Mat A_loc; /* used by MatTransposeMatMult(), contains api and apj */
24: ISLocalToGlobalMapping ltog; /* mapping from local column indices to global column indices for A_loc */
25: Mat Pt; /* used by MatTransposeMatMult(), Pt = P^T */
26: Mat Rd, Ro, AP_loc, C_loc, C_oth;
27: PetscInt algType; /* implementation algorithm */
28: PetscSF sf; /* use it to communicate remote part of C */
29: PetscInt *c_othi, *c_rmti;
31: Mat_Merge_SeqsToMPI *merge;
32: } Mat_APMPI;
34: typedef struct {
35: Mat A, B; /* local submatrices: A (diag part),
36: B (off-diag part) */
37: PetscMPIInt size; /* size of communicator */
38: PetscMPIInt rank; /* rank of proc in communicator */
40: /* The following variables are used for matrix assembly */
41: PetscBool donotstash; /* PETSC_TRUE if off processor entries dropped */
42: MPI_Request *send_waits; /* array of send requests */
43: MPI_Request *recv_waits; /* array of receive requests */
44: PetscInt nsends, nrecvs; /* numbers of sends and receives */
45: PetscScalar *svalues, *rvalues; /* sending and receiving data */
46: PetscInt rmax; /* maximum message length */
47: #if defined(PETSC_USE_CTABLE)
48: PetscTable colmap;
49: #else
50: PetscInt *colmap; /* local col number of off-diag col */
51: #endif
52: PetscInt *garray; /* global index of all off-processor columns */
54: /* The following variables are used for matrix-vector products */
55: Vec lvec; /* local vector */
56: Vec diag;
57: VecScatter Mvctx; /* scatter context for vector */
58: PetscBool roworiented; /* if true, row-oriented input, default true */
60: /* The following variables are for MatGetRow() */
61: PetscInt *rowindices; /* column indices for row */
62: PetscScalar *rowvalues; /* nonzero values in row */
63: PetscBool getrowactive; /* indicates MatGetRow(), not restored */
65: PetscInt *ld; /* number of entries per row left of diagonal block */
67: /* Used by device classes */
68: void *spptr;
70: /* MatSetValuesCOO() related stuff */
71: PetscCount coo_n; /* Number of COOs passed to MatSetPreallocationCOO)() */
72: PetscSF coo_sf; /* SF to send/recv remote values in MatSetValuesCOO() */
73: PetscCount Annz, Bnnz; /* Number of entries in diagonal A and off-diagonal B */
74: PetscCount Annz2, Bnnz2; /* Number of unique remote entries belonging to A and B */
75: PetscCount Atot1, Atot2, Btot1, Btot2; /* Total local (tot1) and remote (tot2) entries (which might contain repeats) belonging to A and B */
76: PetscCount *Ajmap1, *Aperm1; /* Lengths: [Annz+1], [Atot1]. Local entries to diag */
77: PetscCount *Bjmap1, *Bperm1; /* Lengths: [Bnnz+1], [Btot1]. Local entries to offdiag */
78: PetscCount *Aimap2, *Ajmap2, *Aperm2; /* Lengths: [Annz2], [Annz2+1], [Atot2]. Remote entries to diag */
79: PetscCount *Bimap2, *Bjmap2, *Bperm2; /* Lengths: [Bnnz2], [Bnnz2+1], [Btot2]. Remote entries to offdiag */
80: PetscCount *Cperm1; /* [sendlen] Permutation to fill MPI send buffer. 'C' for communication */
81: PetscScalar *sendbuf, *recvbuf; /* Buffers for remote values in MatSetValuesCOO() */
82: PetscInt sendlen, recvlen; /* Lengths (in unit of PetscScalar) of send/recvbuf */
83: } Mat_MPIAIJ;
85: PETSC_EXTERN PetscErrorCode MatCreate_MPIAIJ(Mat);
87: PETSC_INTERN PetscErrorCode MatAssemblyEnd_MPIAIJ(Mat, MatAssemblyType);
89: PETSC_INTERN PetscErrorCode MatSetUpMultiply_MPIAIJ(Mat);
90: PETSC_INTERN PetscErrorCode MatDisAssemble_MPIAIJ(Mat);
91: PETSC_INTERN PetscErrorCode MatDuplicate_MPIAIJ(Mat, MatDuplicateOption, Mat *);
92: PETSC_INTERN PetscErrorCode MatIncreaseOverlap_MPIAIJ(Mat, PetscInt, IS[], PetscInt);
93: PETSC_INTERN PetscErrorCode MatIncreaseOverlap_MPIAIJ_Scalable(Mat, PetscInt, IS[], PetscInt);
94: PETSC_INTERN PetscErrorCode MatFDColoringCreate_MPIXAIJ(Mat, ISColoring, MatFDColoring);
95: PETSC_INTERN PetscErrorCode MatFDColoringSetUp_MPIXAIJ(Mat, ISColoring, MatFDColoring);
96: PETSC_INTERN PetscErrorCode MatCreateSubMatrices_MPIAIJ(Mat, PetscInt, const IS[], const IS[], MatReuse, Mat *[]);
97: PETSC_INTERN PetscErrorCode MatCreateSubMatricesMPI_MPIAIJ(Mat, PetscInt, const IS[], const IS[], MatReuse, Mat *[]);
98: PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_All(Mat, MatCreateSubMatrixOption, MatReuse, Mat *[]);
99: PETSC_INTERN PetscErrorCode MatView_MPIAIJ(Mat, PetscViewer);
101: PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ(Mat, IS, IS, MatReuse, Mat *);
102: PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_nonscalable(Mat, IS, IS, PetscInt, MatReuse, Mat *);
103: PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_SameRowDist(Mat, IS, IS, IS, MatReuse, Mat *);
104: PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_SameRowColDist(Mat, IS, IS, MatReuse, Mat *);
105: PETSC_INTERN PetscErrorCode MatGetMultiProcBlock_MPIAIJ(Mat, MPI_Comm, MatReuse, Mat *);
107: PETSC_INTERN PetscErrorCode MatLoad_MPIAIJ(Mat, PetscViewer);
108: PETSC_INTERN PetscErrorCode MatLoad_MPIAIJ_Binary(Mat, PetscViewer);
109: PETSC_INTERN PetscErrorCode MatCreateColmap_MPIAIJ_Private(Mat);
111: PETSC_INTERN PetscErrorCode MatProductSetFromOptions_MPIAIJ(Mat);
112: PETSC_INTERN PetscErrorCode MatProductSetFromOptions_MPIAIJBACKEND(Mat);
113: PETSC_INTERN PetscErrorCode MatProductSymbolic_MPIAIJBACKEND(Mat);
114: PETSC_INTERN PetscErrorCode MatProductSymbolic_AB_MPIAIJ_MPIAIJ(Mat);
116: PETSC_INTERN PetscErrorCode MatProductSymbolic_PtAP_MPIAIJ_MPIAIJ(Mat);
118: PETSC_INTERN PetscErrorCode MatProductSymbolic_RARt_MPIAIJ_MPIAIJ(Mat);
119: PETSC_INTERN PetscErrorCode MatProductNumeric_RARt_MPIAIJ_MPIAIJ(Mat);
121: PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ_nonscalable(Mat, Mat, PetscReal, Mat);
122: PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ_seqMPI(Mat, Mat, PetscReal, Mat);
123: PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ(Mat, Mat, PetscReal, Mat);
124: PETSC_INTERN PetscErrorCode MatMatMultNumeric_MPIAIJ_MPIAIJ(Mat, Mat, Mat);
125: PETSC_INTERN PetscErrorCode MatMatMultNumeric_MPIAIJ_MPIAIJ_nonscalable(Mat, Mat, Mat);
127: PETSC_INTERN PetscErrorCode MatMatMatMultSymbolic_MPIAIJ_MPIAIJ_MPIAIJ(Mat, Mat, Mat, PetscReal, Mat);
128: PETSC_INTERN PetscErrorCode MatMatMatMultNumeric_MPIAIJ_MPIAIJ_MPIAIJ(Mat, Mat, Mat, Mat);
130: PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ(Mat, Mat, PetscReal, Mat);
131: PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ(Mat, Mat, Mat);
133: PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_scalable(Mat, Mat, PetscReal, Mat);
134: PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_allatonce(Mat, Mat, PetscReal, Mat);
135: PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_allatonce_merged(Mat, Mat, PetscReal, Mat);
136: PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_scalable(Mat, Mat, Mat);
137: PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_allatonce(Mat, Mat, Mat);
138: PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_allatonce_merged(Mat, Mat, Mat);
140: #if defined(PETSC_HAVE_HYPRE)
141: PETSC_INTERN PetscErrorCode MatPtAPSymbolic_AIJ_AIJ_wHYPRE(Mat, Mat, PetscReal, Mat);
142: #endif
143: PETSC_INTERN PetscErrorCode MatConvert_MPIAIJ_MPIDense(Mat, MatType, MatReuse, Mat *);
144: #if defined(PETSC_HAVE_SCALAPACK)
145: PETSC_INTERN PetscErrorCode MatConvert_AIJ_ScaLAPACK(Mat, MatType, MatReuse, Mat *);
146: #endif
148: PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ(Mat);
149: PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ_PtAP(void *);
150: PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ_MatMatMult(void *);
152: PETSC_INTERN PetscErrorCode MatGetBrowsOfAoCols_MPIAIJ(Mat, Mat, MatReuse, PetscInt **, PetscInt **, MatScalar **, Mat *);
153: PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
154: PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ_CopyFromCSRFormat(Mat, const PetscInt[], const PetscInt[], const PetscScalar[]);
155: PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ_CopyFromCSRFormat_Symbolic(Mat, const PetscInt[], const PetscInt[]);
156: PETSC_INTERN PetscErrorCode MatSetOption_MPIAIJ(Mat, MatOption, PetscBool);
158: PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIAIJ_nonscalable(Mat, Mat, PetscReal, Mat);
159: PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIAIJ(Mat, Mat, PetscReal, Mat);
160: PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ(Mat, Mat, Mat);
161: PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ_nonscalable(Mat, Mat, Mat);
162: PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ_matmatmult(Mat, Mat, Mat);
163: PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIDense(Mat, Mat, PetscReal, Mat);
164: PETSC_INTERN PetscErrorCode MatGetSeqNonzeroStructure_MPIAIJ(Mat, Mat *);
166: PETSC_INTERN PetscErrorCode MatSetFromOptions_MPIAIJ(Mat, PetscOptionItems *);
167: PETSC_INTERN PetscErrorCode MatMPIAIJSetPreallocation_MPIAIJ(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[]);
169: #if !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_REAL_SINGLE) && !defined(PETSC_USE_REAL___FLOAT128) && !defined(PETSC_USE_REAL___FP16)
170: PETSC_INTERN PetscErrorCode MatLUFactorSymbolic_MPIAIJ_TFS(Mat, IS, IS, const MatFactorInfo *, Mat *);
171: #endif
172: PETSC_INTERN PetscErrorCode MatSolve_MPIAIJ(Mat, Vec, Vec);
173: PETSC_INTERN PetscErrorCode MatILUFactor_MPIAIJ(Mat, IS, IS, const MatFactorInfo *);
175: PETSC_INTERN PetscErrorCode MatAXPYGetPreallocation_MPIX_private(PetscInt, const PetscInt *, const PetscInt *, const PetscInt *, const PetscInt *, const PetscInt *, const PetscInt *, PetscInt *);
177: extern PetscErrorCode MatGetDiagonalBlock_MPIAIJ(Mat, Mat *);
178: extern PetscErrorCode MatDiagonalScaleLocal_MPIAIJ(Mat, Vec);
180: PETSC_INTERN PetscErrorCode MatGetSeqMats_MPIAIJ(Mat, Mat *, Mat *);
181: PETSC_INTERN PetscErrorCode MatSetSeqMats_MPIAIJ(Mat, IS, IS, IS, MatStructure, Mat, Mat);
183: PETSC_INTERN PetscErrorCode MatSetPreallocationCOO_MPIAIJ(Mat, PetscCount, PetscInt[], PetscInt[]);
184: PETSC_INTERN PetscErrorCode MatResetPreallocationCOO_MPIAIJ(Mat);
186: /* compute apa = A[i,:]*P = Ad[i,:]*P_loc + Ao*[i,:]*P_oth using sparse axpy */
187: #define AProw_scalable(i, ad, ao, p_loc, p_oth, api, apj, apa) \
188: { \
189: PetscInt _anz, _pnz, _j, _k, *_ai, *_aj, _row, *_pi, *_pj, _nextp, *_apJ; \
190: PetscScalar *_aa, _valtmp, *_pa; \
191: _apJ = apj + api[i]; \
192: /* diagonal portion of A */ \
193: _ai = ad->i; \
194: _anz = _ai[i + 1] - _ai[i]; \
195: _aj = ad->j + _ai[i]; \
196: _aa = ad->a + _ai[i]; \
197: for (_j = 0; _j < _anz; _j++) { \
198: _row = _aj[_j]; \
199: _pi = p_loc->i; \
200: _pnz = _pi[_row + 1] - _pi[_row]; \
201: _pj = p_loc->j + _pi[_row]; \
202: _pa = p_loc->a + _pi[_row]; \
203: /* perform sparse axpy */ \
204: _valtmp = _aa[_j]; \
205: _nextp = 0; \
206: for (_k = 0; _nextp < _pnz; _k++) { \
207: if (_apJ[_k] == _pj[_nextp]) { /* column of AP == column of P */ \
208: apa[_k] += _valtmp * _pa[_nextp++]; \
209: } \
210: } \
211: (void)PetscLogFlops(2.0 * _pnz); \
212: } \
213: /* off-diagonal portion of A */ \
214: if (p_oth) { \
215: _ai = ao->i; \
216: _anz = _ai[i + 1] - _ai[i]; \
217: _aj = ao->j + _ai[i]; \
218: _aa = ao->a + _ai[i]; \
219: for (_j = 0; _j < _anz; _j++) { \
220: _row = _aj[_j]; \
221: _pi = p_oth->i; \
222: _pnz = _pi[_row + 1] - _pi[_row]; \
223: _pj = p_oth->j + _pi[_row]; \
224: _pa = p_oth->a + _pi[_row]; \
225: /* perform sparse axpy */ \
226: _valtmp = _aa[_j]; \
227: _nextp = 0; \
228: for (_k = 0; _nextp < _pnz; _k++) { \
229: if (_apJ[_k] == _pj[_nextp]) { /* column of AP == column of P */ \
230: apa[_k] += _valtmp * _pa[_nextp++]; \
231: } \
232: } \
233: (void)PetscLogFlops(2.0 * _pnz); \
234: } \
235: } \
236: }
238: #define AProw_nonscalable(i, ad, ao, p_loc, p_oth, apa) \
239: { \
240: PetscInt _anz, _pnz, _j, _k, *_ai, *_aj, _row, *_pi, *_pj; \
241: PetscScalar *_aa, _valtmp, *_pa; \
242: /* diagonal portion of A */ \
243: _ai = ad->i; \
244: _anz = _ai[i + 1] - _ai[i]; \
245: _aj = ad->j + _ai[i]; \
246: _aa = ad->a + _ai[i]; \
247: for (_j = 0; _j < _anz; _j++) { \
248: _row = _aj[_j]; \
249: _pi = p_loc->i; \
250: _pnz = _pi[_row + 1] - _pi[_row]; \
251: _pj = p_loc->j + _pi[_row]; \
252: _pa = p_loc->a + _pi[_row]; \
253: /* perform dense axpy */ \
254: _valtmp = _aa[_j]; \
255: for (_k = 0; _k < _pnz; _k++) apa[_pj[_k]] += _valtmp * _pa[_k]; \
256: (void)PetscLogFlops(2.0 * _pnz); \
257: } \
258: /* off-diagonal portion of A */ \
259: if (p_oth) { \
260: _ai = ao->i; \
261: _anz = _ai[i + 1] - _ai[i]; \
262: _aj = ao->j + _ai[i]; \
263: _aa = ao->a + _ai[i]; \
264: for (_j = 0; _j < _anz; _j++) { \
265: _row = _aj[_j]; \
266: _pi = p_oth->i; \
267: _pnz = _pi[_row + 1] - _pi[_row]; \
268: _pj = p_oth->j + _pi[_row]; \
269: _pa = p_oth->a + _pi[_row]; \
270: /* perform dense axpy */ \
271: _valtmp = _aa[_j]; \
272: for (_k = 0; _k < _pnz; _k++) apa[_pj[_k]] += _valtmp * _pa[_k]; \
273: (void)PetscLogFlops(2.0 * _pnz); \
274: } \
275: } \
276: }
278: #endif