xref: /petsc/src/mat/impls/aij/mpi/mpiaij.h (revision 4e8afd12df985612b40e26aef947da2f566aee4e)
1 
2 
3 #if !defined(__MPIAIJ_H)
4 #define __MPIAIJ_H
5 
6 #include <../src/mat/impls/aij/seq/aij.h>
7 
8 typedef struct { /* used by MatCreateMPIAIJSumSeqAIJ for reusing the merged matrix */
9   PetscLayout rowmap;
10   PetscInt    **buf_ri,**buf_rj;
11   PetscMPIInt *len_s,*len_r,*id_r;    /* array of length of comm->size, store send/recv matrix values */
12   PetscMPIInt nsend,nrecv;
13   PetscInt    *bi,*bj;    /* i and j array of the local portion of mpi C (matrix product) - rename to ci, cj! */
14   PetscInt    *owners_co,*coi,*coj;    /* i and j array of (p->B)^T*A*P - used in the communication */
15   PetscErrorCode (*destroy)(Mat);
16   PetscErrorCode (*duplicate)(Mat,MatDuplicateOption,Mat*);
17 } Mat_Merge_SeqsToMPI;
18 
19 typedef struct { /* used by MatPtAPXXX_MPIAIJ_MPIAIJ() and MatMatMultXXX_MPIAIJ_MPIAIJ() */
20   PetscInt               *startsj_s,*startsj_r;    /* used by MatGetBrowsOfAoCols_MPIAIJ */
21   PetscScalar            *bufa;                    /* used by MatGetBrowsOfAoCols_MPIAIJ */
22   Mat                     P_loc,P_oth;             /* partial B_seq -- intend to replace B_seq */
23   PetscInt                *api,*apj;               /* symbolic i and j arrays of the local product A_loc*B_seq */
24   PetscScalar             *apv;
25   MatReuse                reuse;                   /* flag to skip MatGetBrowsOfAoCols_MPIAIJ() and MatMPIAIJGetLocalMat() in 1st call of MatPtAPNumeric_MPIAIJ_MPIAIJ() */
26   PetscScalar             *apa;                    /* tmp array for store a row of A*P used in MatMatMult() */
27   Mat                     A_loc;                   /* used by MatTransposeMatMult(), contains api and apj */
28   ISLocalToGlobalMapping  ltog;                    /* mapping from local column indices to global column indices for A_loc */
29   Mat                     Pt;                      /* used by MatTransposeMatMult(), Pt = P^T */
30   PetscBool               freestruct;              /* flag for MatFreeIntermediateDataStructures() */
31   Mat                     Rd,Ro,AP_loc,C_loc,C_oth;
32   PetscInt                algType;                 /* implementation algorithm */
33   PetscSF                 sf;                      /* use it to communicate remote part of C */
34   PetscInt                *c_othi,*c_rmti;
35 
36   Mat_Merge_SeqsToMPI *merge;
37   PetscErrorCode (*destroy)(Mat);
38   PetscErrorCode (*duplicate)(Mat,MatDuplicateOption,Mat*);
39   PetscErrorCode (*view)(Mat,PetscViewer);
40 } Mat_APMPI;
41 
42 typedef struct {
43   Mat A,B;                             /* local submatrices: A (diag part),
44                                            B (off-diag part) */
45   PetscMPIInt size;                     /* size of communicator */
46   PetscMPIInt rank;                     /* rank of proc in communicator */
47 
48   /* The following variables are used for matrix assembly */
49   PetscBool   donotstash;               /* PETSC_TRUE if off processor entries dropped */
50   MPI_Request *send_waits;              /* array of send requests */
51   MPI_Request *recv_waits;              /* array of receive requests */
52   PetscInt    nsends,nrecvs;           /* numbers of sends and receives */
53   PetscScalar *svalues,*rvalues;       /* sending and receiving data */
54   PetscInt    rmax;                     /* maximum message length */
55 #if defined(PETSC_USE_CTABLE)
56   PetscTable colmap;
57 #else
58   PetscInt *colmap;                     /* local col number of off-diag col */
59 #endif
60   PetscInt *garray;                     /* global index of all off-processor columns */
61 
62   /* The following variables are used for matrix-vector products */
63   Vec        lvec;                 /* local vector */
64   Vec        diag;
65   VecScatter Mvctx,Mvctx_mpi1;     /* scatter context for vector */
66   PetscBool  Mvctx_mpi1_flg;       /* if true, additional Mvctx_mpi1 is requested for mat-mat ops, default false */
67   PetscBool  roworiented;          /* if true, row-oriented input, default true */
68 
69   /* The following variables are for MatGetRow() */
70   PetscInt    *rowindices;         /* column indices for row */
71   PetscScalar *rowvalues;          /* nonzero values in row */
72   PetscBool   getrowactive;        /* indicates MatGetRow(), not restored */
73 
74   /* Used by MatDistribute_MPIAIJ() to allow reuse of previous matrix allocation  and nonzero pattern */
75   PetscInt *ld;                    /* number of entries per row left of diagona block */
76 
77   Mat_APMPI         *ap;              /* used by MatMatMult() and MatPtAP() */
78   Mat_RARt          *rart;            /* used by MatRARt() */
79   Mat_MatMatMatMult *matmatmatmult;   /* used by MatMatMatMult() */
80 
81   /* Used by MPICUSP and MPICUSPARSE classes */
82   void * spptr;
83 
84 } Mat_MPIAIJ;
85 
86 PETSC_EXTERN PetscErrorCode MatCreate_MPIAIJ(Mat);
87 
88 PETSC_INTERN PetscErrorCode MatAssemblyEnd_MPIAIJ(Mat,MatAssemblyType);
89 
90 PETSC_INTERN PetscErrorCode MatSetUpMultiply_MPIAIJ(Mat);
91 PETSC_INTERN PetscErrorCode MatDisAssemble_MPIAIJ(Mat);
92 PETSC_INTERN PetscErrorCode MatDuplicate_MPIAIJ(Mat,MatDuplicateOption,Mat*);
93 PETSC_INTERN PetscErrorCode MatIncreaseOverlap_MPIAIJ(Mat,PetscInt,IS [],PetscInt);
94 PETSC_INTERN PetscErrorCode MatIncreaseOverlap_MPIAIJ_Scalable(Mat,PetscInt,IS [],PetscInt);
95 PETSC_INTERN PetscErrorCode MatFDColoringCreate_MPIXAIJ(Mat,ISColoring,MatFDColoring);
96 PETSC_INTERN PetscErrorCode MatFDColoringSetUp_MPIXAIJ(Mat,ISColoring,MatFDColoring);
97 PETSC_INTERN PetscErrorCode MatCreateSubMatrices_MPIAIJ (Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
98 PETSC_INTERN PetscErrorCode MatCreateSubMatricesMPI_MPIAIJ (Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
99 PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_All(Mat,MatCreateSubMatrixOption,MatReuse,Mat *[]);
100 PETSC_INTERN PetscErrorCode MatView_MPIAIJ(Mat,PetscViewer);
101 
102 PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ(Mat,IS,IS,MatReuse,Mat*);
103 PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_nonscalable(Mat,IS,IS,PetscInt,MatReuse,Mat*);
104 PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_SameRowDist(Mat,IS,IS,IS,MatReuse,Mat*);
105 PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_SameRowColDist(Mat,IS,IS,MatReuse,Mat*);
106 PETSC_INTERN PetscErrorCode MatGetMultiProcBlock_MPIAIJ(Mat,MPI_Comm,MatReuse,Mat*);
107 
108 PETSC_INTERN PetscErrorCode MatLoad_MPIAIJ(Mat,PetscViewer);
109 PETSC_INTERN PetscErrorCode MatLoad_MPIAIJ_Binary(Mat,PetscViewer);
110 PETSC_INTERN PetscErrorCode MatCreateColmap_MPIAIJ_Private(Mat);
111 
112 PETSC_INTERN PetscErrorCode MatProductSetFromOptions_MPIAIJ(Mat);
113 PETSC_INTERN PetscErrorCode MatProductSymbolic_AB_MPIAIJ_MPIAIJ(Mat);
114 
115 PETSC_INTERN PetscErrorCode MatProductSymbolic_PtAP_MPIAIJ_MPIAIJ(Mat);
116 
117 PETSC_INTERN PetscErrorCode MatProductSymbolic_RARt_MPIAIJ_MPIAIJ(Mat);
118 PETSC_INTERN PetscErrorCode MatProductNumeric_RARt_MPIAIJ_MPIAIJ(Mat);
119 
120 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,PetscReal,Mat);
121 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ_seqMPI(Mat,Mat,PetscReal,Mat);
122 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat);
123 PETSC_INTERN PetscErrorCode MatMatMultNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat);
124 PETSC_INTERN PetscErrorCode MatMatMultNumeric_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,Mat);
125 
126 PETSC_INTERN PetscErrorCode MatMatMatMultSymbolic_MPIAIJ_MPIAIJ_MPIAIJ(Mat,Mat,Mat,PetscReal,Mat);
127 PETSC_INTERN PetscErrorCode MatMatMatMultNumeric_MPIAIJ_MPIAIJ_MPIAIJ(Mat,Mat,Mat,Mat);
128 
129 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat);
130 PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat);
131 
132 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_scalable(Mat,Mat,PetscReal,Mat);
133 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_allatonce(Mat,Mat,PetscReal,Mat);
134 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_allatonce_merged(Mat,Mat,PetscReal,Mat);
135 PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_scalable(Mat,Mat,Mat);
136 PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_allatonce(Mat,Mat,Mat);
137 PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_allatonce_merged(Mat,Mat,Mat);
138 PETSC_INTERN PetscErrorCode MatFreeIntermediateDataStructures_MPIAIJ_AP(Mat);
139 PETSC_INTERN PetscErrorCode MatFreeIntermediateDataStructures_MPIAIJ_BC(Mat);
140 
141 #if defined(PETSC_HAVE_HYPRE)
142 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_AIJ_AIJ_wHYPRE(Mat,Mat,PetscReal,Mat);
143 #endif
144 
145 PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ_PtAP(Mat);
146 PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ(Mat);
147 
148 PETSC_INTERN PetscErrorCode MatGetBrowsOfAoCols_MPIAIJ(Mat,Mat,MatReuse,PetscInt**,PetscInt**,MatScalar**,Mat*);
149 PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar [],InsertMode);
150 PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ_CopyFromCSRFormat(Mat,const PetscInt[],const PetscInt[],const PetscScalar[]);
151 PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ_CopyFromCSRFormat_Symbolic(Mat,const PetscInt[],const PetscInt[]);
152 PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ_MatMatMult(Mat);
153 PETSC_INTERN PetscErrorCode PetscContainerDestroy_Mat_MatMatMultMPI(void*);
154 PETSC_INTERN PetscErrorCode MatSetOption_MPIAIJ(Mat,MatOption,PetscBool);
155 
156 PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,PetscReal,Mat);
157 PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat);
158 PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat);
159 PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,Mat);
160 PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ_matmatmult(Mat,Mat,Mat);
161 PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIDense(Mat,Mat,PetscReal,Mat);
162 PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIDense(Mat,Mat,Mat);
163 PETSC_INTERN PetscErrorCode MatGetSeqNonzeroStructure_MPIAIJ(Mat,Mat*);
164 
165 PETSC_INTERN PetscErrorCode MatSetFromOptions_MPIAIJ(PetscOptionItems*,Mat);
166 PETSC_INTERN PetscErrorCode MatMPIAIJSetPreallocation_MPIAIJ(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
167 
168 #if !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_REAL_SINGLE) && !defined(PETSC_USE_REAL___FLOAT128) && !defined(PETSC_USE_REAL___FP16)
169 PETSC_INTERN PetscErrorCode MatLUFactorSymbolic_MPIAIJ_TFS(Mat,IS,IS,const MatFactorInfo*,Mat*);
170 #endif
171 PETSC_INTERN PetscErrorCode MatSolve_MPIAIJ(Mat,Vec,Vec);
172 PETSC_INTERN PetscErrorCode MatILUFactor_MPIAIJ(Mat,IS,IS,const MatFactorInfo*);
173 
174 PETSC_INTERN PetscErrorCode MatAXPYGetPreallocation_MPIX_private(PetscInt,const PetscInt*,const PetscInt*,const PetscInt*,const PetscInt*,const PetscInt*,const PetscInt*,PetscInt*);
175 
176 extern PetscErrorCode MatGetDiagonalBlock_MPIAIJ(Mat,Mat*);
177 extern PetscErrorCode MatDiagonalScaleLocal_MPIAIJ(Mat,Vec);
178 
179 PETSC_INTERN PetscErrorCode MatGetSeqMats_MPIAIJ(Mat,Mat*,Mat*);
180 PETSC_INTERN PetscErrorCode MatSetSeqMats_MPIAIJ(Mat,IS,IS,IS,MatStructure,Mat,Mat);
181 
182 /* compute apa = A[i,:]*P = Ad[i,:]*P_loc + Ao*[i,:]*P_oth using sparse axpy */
183 #define AProw_scalable(i,ad,ao,p_loc,p_oth,api,apj,apa) \
184 {\
185   PetscInt    _anz,_pnz,_j,_k,*_ai,*_aj,_row,*_pi,*_pj,_nextp,*_apJ;\
186   PetscScalar *_aa,_valtmp,*_pa;\
187   _apJ = apj + api[i];\
188   /* diagonal portion of A */\
189   _ai  = ad->i;\
190   _anz = _ai[i+1] - _ai[i];\
191   _aj  = ad->j + _ai[i];\
192   _aa  = ad->a + _ai[i];\
193   for (_j=0; _j<_anz; _j++) {\
194     _row = _aj[_j]; \
195     _pi  = p_loc->i;                             \
196     _pnz = _pi[_row+1] - _pi[_row];              \
197     _pj  = p_loc->j + _pi[_row];                 \
198     _pa  = p_loc->a + _pi[_row];                 \
199     /* perform sparse axpy */                    \
200     _valtmp = _aa[_j];                           \
201     _nextp  = 0; \
202     for (_k=0; _nextp<_pnz; _k++) {                    \
203       if (_apJ[_k] == _pj[_nextp]) { /* column of AP == column of P */\
204         apa[_k] += _valtmp*_pa[_nextp++];                             \
205       } \
206     }                                           \
207     (void)PetscLogFlops(2.0*_pnz);              \
208   }                                             \
209   /* off-diagonal portion of A */               \
210   if (p_oth){ \
211     _ai  = ao->i;\
212     _anz = _ai[i+1] - _ai[i];                   \
213     _aj  = ao->j + _ai[i];                      \
214     _aa  = ao->a + _ai[i];                      \
215     for (_j=0; _j<_anz; _j++) {                 \
216       _row = _aj[_j];    \
217       _pi  = p_oth->i;                         \
218       _pnz = _pi[_row+1] - _pi[_row];          \
219       _pj  = p_oth->j + _pi[_row];             \
220       _pa  = p_oth->a + _pi[_row];             \
221       /* perform sparse axpy */                \
222       _valtmp = _aa[_j];                       \
223       _nextp  = 0; \
224       for (_k=0; _nextp<_pnz; _k++) {          \
225         if (_apJ[_k] == _pj[_nextp]) { /* column of AP == column of P */\
226           apa[_k] += _valtmp*_pa[_nextp++];    \
227         }                                      \
228       }                                        \
229       (void)PetscLogFlops(2.0*_pnz);           \
230     } \
231   }\
232 }
233 
234 #define AProw_nonscalable(i,ad,ao,p_loc,p_oth,apa) \
235 {\
236   PetscInt    _anz,_pnz,_j,_k,*_ai,*_aj,_row,*_pi,*_pj;\
237   PetscScalar *_aa,_valtmp,*_pa;                       \
238   /* diagonal portion of A */\
239   _ai  = ad->i;\
240   _anz = _ai[i+1] - _ai[i];\
241   _aj  = ad->j + _ai[i];\
242   _aa  = ad->a + _ai[i];\
243   for (_j=0; _j<_anz; _j++) {\
244     _row = _aj[_j]; \
245     _pi  = p_loc->i;                        \
246     _pnz = _pi[_row+1] - _pi[_row];         \
247     _pj  = p_loc->j + _pi[_row];            \
248     _pa  = p_loc->a + _pi[_row];            \
249     /* perform dense axpy */                \
250     _valtmp = _aa[_j];                      \
251     for (_k=0; _k<_pnz; _k++) {             \
252       apa[_pj[_k]] += _valtmp*_pa[_k];      \
253     }                                       \
254     (void)PetscLogFlops(2.0*_pnz);          \
255   }                                         \
256   /* off-diagonal portion of A */           \
257   if (p_oth){ \
258     _ai  = ao->i;\
259     _anz = _ai[i+1] - _ai[i];               \
260     _aj  = ao->j + _ai[i];                  \
261     _aa  = ao->a + _ai[i];                  \
262     for (_j=0; _j<_anz; _j++) {             \
263       _row = _aj[_j];    \
264       _pi  = p_oth->i;                      \
265       _pnz = _pi[_row+1] - _pi[_row];       \
266       _pj  = p_oth->j + _pi[_row];          \
267       _pa  = p_oth->a + _pi[_row];          \
268       /* perform dense axpy */              \
269       _valtmp = _aa[_j];                    \
270       for (_k=0; _k<_pnz; _k++) {           \
271         apa[_pj[_k]] += _valtmp*_pa[_k];    \
272       }                                     \
273       (void)PetscLogFlops(2.0*_pnz);        \
274     }                                       \
275   }\
276 }
277 
278 #endif
279