xref: /petsc/src/mat/impls/aij/mpi/mpiaij.h (revision d60b7d5cda9a3148fab971d2544cf20a2ffedfa6)
1 #if !defined(__MPIAIJ_H)
2 #define __MPIAIJ_H
3 
4 #include <../src/mat/impls/aij/seq/aij.h>
5 
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;
14 
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;
30 
31   Mat_Merge_SeqsToMPI *merge;
32 } Mat_APMPI;
33 
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 */
39 
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 */
53 
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 */
59 
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 */
64 
65   /* Used by MatDistribute_MPIAIJ() to allow reuse of previous matrix allocation  and nonzero pattern */
66   PetscInt *ld;                    /* number of entries per row left of diagona block */
67 
68   /* Used by MPICUSPARSE classes */
69   void * spptr;
70 
71 } Mat_MPIAIJ;
72 
73 PETSC_EXTERN PetscErrorCode MatCreate_MPIAIJ(Mat);
74 
75 PETSC_INTERN PetscErrorCode MatAssemblyEnd_MPIAIJ(Mat,MatAssemblyType);
76 
77 PETSC_INTERN PetscErrorCode MatSetUpMultiply_MPIAIJ(Mat);
78 PETSC_INTERN PetscErrorCode MatDisAssemble_MPIAIJ(Mat);
79 PETSC_INTERN PetscErrorCode MatDuplicate_MPIAIJ(Mat,MatDuplicateOption,Mat*);
80 PETSC_INTERN PetscErrorCode MatIncreaseOverlap_MPIAIJ(Mat,PetscInt,IS [],PetscInt);
81 PETSC_INTERN PetscErrorCode MatIncreaseOverlap_MPIAIJ_Scalable(Mat,PetscInt,IS [],PetscInt);
82 PETSC_INTERN PetscErrorCode MatFDColoringCreate_MPIXAIJ(Mat,ISColoring,MatFDColoring);
83 PETSC_INTERN PetscErrorCode MatFDColoringSetUp_MPIXAIJ(Mat,ISColoring,MatFDColoring);
84 PETSC_INTERN PetscErrorCode MatCreateSubMatrices_MPIAIJ (Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
85 PETSC_INTERN PetscErrorCode MatCreateSubMatricesMPI_MPIAIJ (Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
86 PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_All(Mat,MatCreateSubMatrixOption,MatReuse,Mat *[]);
87 PETSC_INTERN PetscErrorCode MatView_MPIAIJ(Mat,PetscViewer);
88 
89 PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ(Mat,IS,IS,MatReuse,Mat*);
90 PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_nonscalable(Mat,IS,IS,PetscInt,MatReuse,Mat*);
91 PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_SameRowDist(Mat,IS,IS,IS,MatReuse,Mat*);
92 PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_SameRowColDist(Mat,IS,IS,MatReuse,Mat*);
93 PETSC_INTERN PetscErrorCode MatGetMultiProcBlock_MPIAIJ(Mat,MPI_Comm,MatReuse,Mat*);
94 
95 PETSC_INTERN PetscErrorCode MatLoad_MPIAIJ(Mat,PetscViewer);
96 PETSC_INTERN PetscErrorCode MatLoad_MPIAIJ_Binary(Mat,PetscViewer);
97 PETSC_INTERN PetscErrorCode MatCreateColmap_MPIAIJ_Private(Mat);
98 
99 PETSC_INTERN PetscErrorCode MatProductSetFromOptions_MPIAIJ(Mat);
100 PETSC_INTERN PetscErrorCode MatProductSymbolic_AB_MPIAIJ_MPIAIJ(Mat);
101 
102 PETSC_INTERN PetscErrorCode MatProductSymbolic_PtAP_MPIAIJ_MPIAIJ(Mat);
103 
104 PETSC_INTERN PetscErrorCode MatProductSymbolic_RARt_MPIAIJ_MPIAIJ(Mat);
105 PETSC_INTERN PetscErrorCode MatProductNumeric_RARt_MPIAIJ_MPIAIJ(Mat);
106 
107 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,PetscReal,Mat);
108 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ_seqMPI(Mat,Mat,PetscReal,Mat);
109 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat);
110 PETSC_INTERN PetscErrorCode MatMatMultNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat);
111 PETSC_INTERN PetscErrorCode MatMatMultNumeric_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,Mat);
112 
113 PETSC_INTERN PetscErrorCode MatMatMatMultSymbolic_MPIAIJ_MPIAIJ_MPIAIJ(Mat,Mat,Mat,PetscReal,Mat);
114 PETSC_INTERN PetscErrorCode MatMatMatMultNumeric_MPIAIJ_MPIAIJ_MPIAIJ(Mat,Mat,Mat,Mat);
115 
116 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat);
117 PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat);
118 
119 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_scalable(Mat,Mat,PetscReal,Mat);
120 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_allatonce(Mat,Mat,PetscReal,Mat);
121 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_allatonce_merged(Mat,Mat,PetscReal,Mat);
122 PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_scalable(Mat,Mat,Mat);
123 PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_allatonce(Mat,Mat,Mat);
124 PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_allatonce_merged(Mat,Mat,Mat);
125 
126 #if defined(PETSC_HAVE_HYPRE)
127 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_AIJ_AIJ_wHYPRE(Mat,Mat,PetscReal,Mat);
128 #endif
129 #if defined(PETSC_HAVE_SCALAPACK)
130 PETSC_INTERN PetscErrorCode MatConvert_AIJ_ScaLAPACK(Mat,MatType,MatReuse,Mat*);
131 #endif
132 
133 PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ(Mat);
134 PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ_PtAP(void*);
135 PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ_MatMatMult(void*);
136 
137 PETSC_INTERN PetscErrorCode MatGetBrowsOfAoCols_MPIAIJ(Mat,Mat,MatReuse,PetscInt**,PetscInt**,MatScalar**,Mat*);
138 PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar [],InsertMode);
139 PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ_CopyFromCSRFormat(Mat,const PetscInt[],const PetscInt[],const PetscScalar[]);
140 PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ_CopyFromCSRFormat_Symbolic(Mat,const PetscInt[],const PetscInt[]);
141 PETSC_INTERN PetscErrorCode MatSetOption_MPIAIJ(Mat,MatOption,PetscBool);
142 
143 PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,PetscReal,Mat);
144 PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat);
145 PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat);
146 PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,Mat);
147 PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ_matmatmult(Mat,Mat,Mat);
148 PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIDense(Mat,Mat,PetscReal,Mat);
149 PETSC_INTERN PetscErrorCode MatGetSeqNonzeroStructure_MPIAIJ(Mat,Mat*);
150 
151 PETSC_INTERN PetscErrorCode MatSetFromOptions_MPIAIJ(PetscOptionItems*,Mat);
152 PETSC_INTERN PetscErrorCode MatMPIAIJSetPreallocation_MPIAIJ(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);
153 
154 #if !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_REAL_SINGLE) && !defined(PETSC_USE_REAL___FLOAT128) && !defined(PETSC_USE_REAL___FP16)
155 PETSC_INTERN PetscErrorCode MatLUFactorSymbolic_MPIAIJ_TFS(Mat,IS,IS,const MatFactorInfo*,Mat*);
156 #endif
157 PETSC_INTERN PetscErrorCode MatSolve_MPIAIJ(Mat,Vec,Vec);
158 PETSC_INTERN PetscErrorCode MatILUFactor_MPIAIJ(Mat,IS,IS,const MatFactorInfo*);
159 
160 PETSC_INTERN PetscErrorCode MatAXPYGetPreallocation_MPIX_private(PetscInt,const PetscInt*,const PetscInt*,const PetscInt*,const PetscInt*,const PetscInt*,const PetscInt*,PetscInt*);
161 
162 extern PetscErrorCode MatGetDiagonalBlock_MPIAIJ(Mat,Mat*);
163 extern PetscErrorCode MatDiagonalScaleLocal_MPIAIJ(Mat,Vec);
164 
165 PETSC_INTERN PetscErrorCode MatGetSeqMats_MPIAIJ(Mat,Mat*,Mat*);
166 PETSC_INTERN PetscErrorCode MatSetSeqMats_MPIAIJ(Mat,IS,IS,IS,MatStructure,Mat,Mat);
167 
168 /* compute apa = A[i,:]*P = Ad[i,:]*P_loc + Ao*[i,:]*P_oth using sparse axpy */
169 #define AProw_scalable(i,ad,ao,p_loc,p_oth,api,apj,apa) \
170 {\
171   PetscInt    _anz,_pnz,_j,_k,*_ai,*_aj,_row,*_pi,*_pj,_nextp,*_apJ;\
172   PetscScalar *_aa,_valtmp,*_pa;\
173   _apJ = apj + api[i];\
174   /* diagonal portion of A */\
175   _ai  = ad->i;\
176   _anz = _ai[i+1] - _ai[i];\
177   _aj  = ad->j + _ai[i];\
178   _aa  = ad->a + _ai[i];\
179   for (_j=0; _j<_anz; _j++) {\
180     _row = _aj[_j]; \
181     _pi  = p_loc->i;                             \
182     _pnz = _pi[_row+1] - _pi[_row];              \
183     _pj  = p_loc->j + _pi[_row];                 \
184     _pa  = p_loc->a + _pi[_row];                 \
185     /* perform sparse axpy */                    \
186     _valtmp = _aa[_j];                           \
187     _nextp  = 0; \
188     for (_k=0; _nextp<_pnz; _k++) {                    \
189       if (_apJ[_k] == _pj[_nextp]) { /* column of AP == column of P */\
190         apa[_k] += _valtmp*_pa[_nextp++];                             \
191       } \
192     }                                           \
193     (void)PetscLogFlops(2.0*_pnz);              \
194   }                                             \
195   /* off-diagonal portion of A */               \
196   if (p_oth){ \
197     _ai  = ao->i;\
198     _anz = _ai[i+1] - _ai[i];                   \
199     _aj  = ao->j + _ai[i];                      \
200     _aa  = ao->a + _ai[i];                      \
201     for (_j=0; _j<_anz; _j++) {                 \
202       _row = _aj[_j];    \
203       _pi  = p_oth->i;                         \
204       _pnz = _pi[_row+1] - _pi[_row];          \
205       _pj  = p_oth->j + _pi[_row];             \
206       _pa  = p_oth->a + _pi[_row];             \
207       /* perform sparse axpy */                \
208       _valtmp = _aa[_j];                       \
209       _nextp  = 0; \
210       for (_k=0; _nextp<_pnz; _k++) {          \
211         if (_apJ[_k] == _pj[_nextp]) { /* column of AP == column of P */\
212           apa[_k] += _valtmp*_pa[_nextp++];    \
213         }                                      \
214       }                                        \
215       (void)PetscLogFlops(2.0*_pnz);           \
216     } \
217   }\
218 }
219 
220 #define AProw_nonscalable(i,ad,ao,p_loc,p_oth,apa) \
221 {\
222   PetscInt    _anz,_pnz,_j,_k,*_ai,*_aj,_row,*_pi,*_pj;\
223   PetscScalar *_aa,_valtmp,*_pa;                       \
224   /* diagonal portion of A */\
225   _ai  = ad->i;\
226   _anz = _ai[i+1] - _ai[i];\
227   _aj  = ad->j + _ai[i];\
228   _aa  = ad->a + _ai[i];\
229   for (_j=0; _j<_anz; _j++) {\
230     _row = _aj[_j]; \
231     _pi  = p_loc->i;                        \
232     _pnz = _pi[_row+1] - _pi[_row];         \
233     _pj  = p_loc->j + _pi[_row];            \
234     _pa  = p_loc->a + _pi[_row];            \
235     /* perform dense axpy */                \
236     _valtmp = _aa[_j];                      \
237     for (_k=0; _k<_pnz; _k++) {             \
238       apa[_pj[_k]] += _valtmp*_pa[_k];      \
239     }                                       \
240     (void)PetscLogFlops(2.0*_pnz);          \
241   }                                         \
242   /* off-diagonal portion of A */           \
243   if (p_oth){ \
244     _ai  = ao->i;\
245     _anz = _ai[i+1] - _ai[i];               \
246     _aj  = ao->j + _ai[i];                  \
247     _aa  = ao->a + _ai[i];                  \
248     for (_j=0; _j<_anz; _j++) {             \
249       _row = _aj[_j];    \
250       _pi  = p_oth->i;                      \
251       _pnz = _pi[_row+1] - _pi[_row];       \
252       _pj  = p_oth->j + _pi[_row];          \
253       _pa  = p_oth->a + _pi[_row];          \
254       /* perform dense axpy */              \
255       _valtmp = _aa[_j];                    \
256       for (_k=0; _k<_pnz; _k++) {           \
257         apa[_pj[_k]] += _valtmp*_pa[_k];    \
258       }                                     \
259       (void)PetscLogFlops(2.0*_pnz);        \
260     }                                       \
261   }\
262 }
263 
264 #endif
265