Actual source code: mpiaij.h

petsc-3.11.3 2019-06-26
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  5:  #include <../src/mat/impls/aij/seq/aij.h>

  7: typedef struct { /* used by MatCreateMPIAIJSumSeqAIJ for reusing the merged matrix */
  8:   PetscLayout rowmap;
  9:   PetscInt    **buf_ri,**buf_rj;
 10:   PetscMPIInt *len_s,*len_r,*id_r;    /* array of length of comm->size, store send/recv matrix values */
 11:   PetscMPIInt nsend,nrecv;
 12:   PetscInt    *bi,*bj;    /* i and j array of the local portion of mpi C (matrix product) - rename to ci, cj! */
 13:   PetscInt    *owners_co,*coi,*coj;    /* i and j array of (p->B)^T*A*P - used in the communication */
 14:   PetscErrorCode (*destroy)(Mat);
 15:   PetscErrorCode (*duplicate)(Mat,MatDuplicateOption,Mat*);
 16: } Mat_Merge_SeqsToMPI;

 18: typedef struct { /* used by MatPtAP_MPIAIJ_MPIAIJ() and MatMatMult_MPIAIJ_MPIAIJ() */
 19:   PetscInt               *startsj_s,*startsj_r;    /* used by MatGetBrowsOfAoCols_MPIAIJ */
 20:   PetscScalar            *bufa;                    /* used by MatGetBrowsOfAoCols_MPIAIJ */
 21:   Mat                     P_loc,P_oth;             /* partial B_seq -- intend to replace B_seq */
 22:   PetscInt                *api,*apj;               /* symbolic i and j arrays of the local product A_loc*B_seq */
 23:   PetscScalar             *apv;
 24:   MatReuse                reuse;                   /* flag to skip MatGetBrowsOfAoCols_MPIAIJ() and MatMPIAIJGetLocalMat() in 1st call of MatPtAPNumeric_MPIAIJ_MPIAIJ() */
 25:   PetscScalar             *apa;                    /* tmp array for store a row of A*P used in MatMatMult() */
 26:   Mat                     A_loc;                   /* used by MatTransposeMatMult(), contains api and apj */
 27:   ISLocalToGlobalMapping  ltog;                    /* mapping from local column indices to global column indices for A_loc */
 28:   Mat                     Pt;                      /* used by MatTransposeMatMult(), Pt = P^T */
 29:   PetscBool               freestruct;              /* flag for MatFreeIntermediateDataStructures() */
 30:   Mat                     Rd,Ro,AP_loc,C_loc,C_oth;
 31:   PetscInt                algType;                 /* implementation algorithm */

 33:   Mat_Merge_SeqsToMPI *merge;
 34:   PetscErrorCode (*destroy)(Mat);
 35:   PetscErrorCode (*duplicate)(Mat,MatDuplicateOption,Mat*);
 36:   PetscErrorCode (*view)(Mat,PetscViewer);
 37: } Mat_APMPI;

 39: typedef struct {
 40:   Mat A,B;                             /* local submatrices: A (diag part),
 41:                                            B (off-diag part) */
 42:   PetscMPIInt size;                     /* size of communicator */
 43:   PetscMPIInt rank;                     /* rank of proc in communicator */

 45:   /* The following variables are used for matrix assembly */
 46:   PetscBool   donotstash;               /* PETSC_TRUE if off processor entries dropped */
 47:   MPI_Request *send_waits;              /* array of send requests */
 48:   MPI_Request *recv_waits;              /* array of receive requests */
 49:   PetscInt    nsends,nrecvs;           /* numbers of sends and receives */
 50:   PetscScalar *svalues,*rvalues;       /* sending and receiving data */
 51:   PetscInt    rmax;                     /* maximum message length */
 52: #if defined(PETSC_USE_CTABLE)
 53:   PetscTable colmap;
 54: #else
 55:   PetscInt *colmap;                     /* local col number of off-diag col */
 56: #endif
 57:   PetscInt *garray;                     /* global index of all off-processor columns */

 59:   /* The following variables are used for matrix-vector products */
 60:   Vec        lvec;                 /* local vector */
 61:   Vec        diag;
 62:   VecScatter Mvctx,Mvctx_mpi1;     /* scatter context for vector */
 63:   PetscBool  Mvctx_mpi1_flg;       /* if true, additional Mvctx_mpi1 is requested for mat-mat ops, default false */
 64:   PetscBool  roworiented;          /* if true, row-oriented input, default true */

 66:   /* The following variables are for MatGetRow() */
 67:   PetscInt    *rowindices;         /* column indices for row */
 68:   PetscScalar *rowvalues;          /* nonzero values in row */
 69:   PetscBool   getrowactive;        /* indicates MatGetRow(), not restored */

 71:   /* Used by MatDistribute_MPIAIJ() to allow reuse of previous matrix allocation  and nonzero pattern */
 72:   PetscInt *ld;                    /* number of entries per row left of diagona block */

 74:   /* Used by MatMatMult() and MatPtAP() */
 75:   Mat_APMPI *ap;

 77:   /* used by MatMatMatMult() */
 78:   Mat_MatMatMatMult *matmatmatmult;

 80:   /* Used by MPICUSP and MPICUSPARSE classes */
 81:   void * spptr;

 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);
110: PETSC_INTERN PetscErrorCode MatMatMult_MPIDense_MPIAIJ(Mat,Mat,MatReuse,PetscReal,Mat*);
111: PETSC_INTERN PetscErrorCode MatMatMult_MPIAIJ_MPIAIJ(Mat,Mat,MatReuse,PetscReal,Mat*);
112: PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,PetscReal,Mat*);
113: PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ_seqMPI(Mat,Mat,PetscReal,Mat*);
114: PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat*);
115: PETSC_INTERN PetscErrorCode MatMatMultNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat);
116: PETSC_INTERN PetscErrorCode MatMatMultNumeric_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,Mat);

118: PETSC_INTERN PetscErrorCode MatMatMatMult_MPIAIJ_MPIAIJ_MPIAIJ(Mat,Mat,Mat,MatReuse,PetscReal,Mat*);
119: PETSC_INTERN PetscErrorCode MatMatMatMultSymbolic_MPIAIJ_MPIAIJ_MPIAIJ(Mat,Mat,Mat,PetscReal,Mat*);
120: PETSC_INTERN PetscErrorCode MatMatMatMultNumeric_MPIAIJ_MPIAIJ_MPIAIJ(Mat,Mat,Mat,Mat);

122: PETSC_INTERN PetscErrorCode MatPtAP_MPIAIJ_MPIAIJ(Mat,Mat,MatReuse,PetscReal,Mat*);
123: PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat*);
124: PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat);

126: PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_scalable(Mat,Mat,PetscReal,Mat*);
127: PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_scalable(Mat,Mat,Mat);
128: PETSC_INTERN PetscErrorCode MatFreeIntermediateDataStructures_MPIAIJ_AP(Mat);
129: PETSC_INTERN PetscErrorCode MatFreeIntermediateDataStructures_MPIAIJ_BC(Mat);

131: #if defined(PETSC_HAVE_HYPRE)
132: PETSC_INTERN PetscErrorCode MatPtAPSymbolic_AIJ_AIJ_wHYPRE(Mat,Mat,PetscReal,Mat*);
133: #endif

135: PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ_PtAP(Mat);
136: PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ(Mat);

138: PETSC_INTERN PetscErrorCode MatRARt_MPIAIJ_MPIAIJ(Mat,Mat,MatReuse,PetscReal,Mat*);

140: PETSC_INTERN PetscErrorCode MatGetBrowsOfAoCols_MPIAIJ(Mat,Mat,MatReuse,PetscInt**,PetscInt**,MatScalar**,Mat*);
141: PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar [],InsertMode);
142: PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ_CopyFromCSRFormat(Mat,const PetscInt[],const PetscInt[],const PetscScalar[]);
143: PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ_CopyFromCSRFormat_Symbolic(Mat,const PetscInt[],const PetscInt[]);
144: PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ_MatMatMult(Mat);
145: PETSC_INTERN PetscErrorCode PetscContainerDestroy_Mat_MatMatMultMPI(void*);
146: PETSC_INTERN PetscErrorCode MatSetOption_MPIAIJ(Mat,MatOption,PetscBool);

148: PETSC_INTERN PetscErrorCode MatTransposeMatMult_MPIAIJ_MPIAIJ(Mat,Mat,MatReuse,PetscReal,Mat*);
149: PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,PetscReal,Mat*);
150: PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat*);
151: PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat);
152: PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,Mat);
153: PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ_matmatmult(Mat,Mat,Mat);
154: PETSC_INTERN PetscErrorCode MatTransposeMatMult_MPIAIJ_MPIDense(Mat,Mat,MatReuse,PetscReal,Mat*);
155: PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIDense(Mat,Mat,PetscReal,Mat*);
156: PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIDense(Mat,Mat,Mat);
157: PETSC_INTERN PetscErrorCode MatGetSeqNonzeroStructure_MPIAIJ(Mat,Mat*);

159: PETSC_INTERN PetscErrorCode MatSetFromOptions_MPIAIJ(PetscOptionItems*,Mat);
160: PETSC_INTERN PetscErrorCode MatMPIAIJSetPreallocation_MPIAIJ(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]);

162: #if !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_REAL_SINGLE) && !defined(PETSC_USE_REAL___FLOAT128) && !defined(PETSC_USE_REAL___FP16)
163: PETSC_INTERN PetscErrorCode MatLUFactorSymbolic_MPIAIJ_TFS(Mat,IS,IS,const MatFactorInfo*,Mat*);
164: #endif
165: PETSC_INTERN PetscErrorCode MatSolve_MPIAIJ(Mat,Vec,Vec);
166: PETSC_INTERN PetscErrorCode MatILUFactor_MPIAIJ(Mat,IS,IS,const MatFactorInfo*);

168: PETSC_INTERN PetscErrorCode MatAXPYGetPreallocation_MPIX_private(PetscInt,const PetscInt*,const PetscInt*,const PetscInt*,const PetscInt*,const PetscInt*,const PetscInt*,PetscInt*);

170: extern PetscErrorCode MatGetDiagonalBlock_MPIAIJ(Mat,Mat*);
171: extern PetscErrorCode MatDiagonalScaleLocal_MPIAIJ(Mat,Vec);

173: PETSC_INTERN PetscErrorCode MatGetSeqMats_MPIAIJ(Mat,Mat*,Mat*);
174: PETSC_INTERN PetscErrorCode MatSetSeqMats_MPIAIJ(Mat,IS,IS,IS,MatStructure,Mat,Mat);

176: /* compute apa = A[i,:]*P = Ad[i,:]*P_loc + Ao*[i,:]*P_oth using sparse axpy */
177: #define AProw_scalable(i,ad,ao,p_loc,p_oth,api,apj,apa) \
178: {\
179:   PetscInt    _anz,_pnz,_j,_k,*_ai,*_aj,_row,*_pi,*_pj,_nextp,*_apJ;      \
180:   PetscScalar *_aa,_valtmp,*_pa;                             \
181:   _apJ = apj + api[i];\
182:   /* diagonal portion of A */\
183:   _ai  = ad->i;\
184:   _anz = _ai[i+1] - _ai[i];\
185:   _aj  = ad->j + _ai[i];\
186:   _aa  = ad->a + _ai[i];\
187:   for (_j=0; _j<_anz; _j++) {\
188:     _row = _aj[_j]; \
189:     _pi  = p_loc->i;                                 \
190:     _pnz = _pi[_row+1] - _pi[_row];         \
191:     _pj  = p_loc->j + _pi[_row];                 \
192:     _pa  = p_loc->a + _pi[_row];                 \
193:     /* perform sparse axpy */                    \
194:     _valtmp = _aa[_j];                           \
195:     _nextp  = 0; \
196:     for (_k=0; _nextp<_pnz; _k++) {                    \
197:       if (_apJ[_k] == _pj[_nextp]) { /* column of AP == column of P */   \
198:         apa[_k] += _valtmp*_pa[_nextp++];                                \
199:       } \
200:     }                                           \
201:     (void)PetscLogFlops(2.0*_pnz);              \
202:   }                                             \
203:   /* off-diagonal portion of A */               \
204:   _ai  = ao->i;\
205:   _anz = _ai[i+1] - _ai[i];                     \
206:   _aj  = ao->j + _ai[i];                         \
207:   _aa  = ao->a + _ai[i];                         \
208:   for (_j=0; _j<_anz; _j++) {                      \
209:     _row = _aj[_j];    \
210:     _pi  = p_oth->i;                         \
211:     _pnz = _pi[_row+1] - _pi[_row];          \
212:     _pj  = p_oth->j + _pi[_row];                  \
213:     _pa  = p_oth->a + _pi[_row];                  \
214:     /* perform sparse axpy */                     \
215:     _valtmp = _aa[_j];                             \
216:     _nextp  = 0; \
217:     for (_k=0; _nextp<_pnz; _k++) {                     \
218:       if (_apJ[_k] == _pj[_nextp]) { /* column of AP == column of P */\
219:         apa[_k] += _valtmp*_pa[_nextp++];                       \
220:       }                                                     \
221:     }                                            \
222:     (void)PetscLogFlops(2.0*_pnz);               \
223:   } \
224: }

226: #define AProw_nonscalable(i,ad,ao,p_loc,p_oth,apa) \
227: {\
228:   PetscInt    _anz,_pnz,_j,_k,*_ai,*_aj,_row,*_pi,*_pj;      \
229:   PetscScalar *_aa,_valtmp,*_pa;                             \
230:   /* diagonal portion of A */\
231:   _ai  = ad->i;\
232:   _anz = _ai[i+1] - _ai[i];\
233:   _aj  = ad->j + _ai[i];\
234:   _aa  = ad->a + _ai[i];\
235:   for (_j=0; _j<_anz; _j++) {\
236:     _row = _aj[_j]; \
237:     _pi  = p_loc->i;                                 \
238:     _pnz = _pi[_row+1] - _pi[_row];         \
239:     _pj  = p_loc->j + _pi[_row];                 \
240:     _pa  = p_loc->a + _pi[_row];                 \
241:     /* perform dense axpy */                    \
242:     _valtmp = _aa[_j];                           \
243:     for (_k=0; _k<_pnz; _k++) {                    \
244:       apa[_pj[_k]] += _valtmp*_pa[_k];               \
245:     }                                           \
246:     (void)PetscLogFlops(2.0*_pnz);              \
247:   }                                             \
248:   /* off-diagonal portion of A */               \
249:   _ai  = ao->i;\
250:   _anz = _ai[i+1] - _ai[i];                     \
251:   _aj  = ao->j + _ai[i];                         \
252:   _aa  = ao->a + _ai[i];                         \
253:   for (_j=0; _j<_anz; _j++) {                      \
254:     _row = _aj[_j];    \
255:     _pi  = p_oth->i;                         \
256:     _pnz = _pi[_row+1] - _pi[_row];          \
257:     _pj  = p_oth->j + _pi[_row];                  \
258:     _pa  = p_oth->a + _pi[_row];                  \
259:     /* perform dense axpy */                     \
260:     _valtmp = _aa[_j];                             \
261:     for (_k=0; _k<_pnz; _k++) {                     \
262:       apa[_pj[_k]] += _valtmp*_pa[_k];                \
263:     }                                            \
264:     (void)PetscLogFlops(2.0*_pnz);               \
265:   } \
266: }

268: #endif