Actual source code: mpiaij.h

petsc-3.8.4 2018-03-24
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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:   Mat         Pt;              /* used by MatTransposeMatMult(), Pt = P^T */
 28:   PetscBool   scalable;        /* flag determines scalable or non-scalable implementation */
 29:   Mat         Rd,Ro,AP_loc,C_loc,C_oth;
 30:   PetscInt    algType;         /* implementation algorithm */

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

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

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

 58:   /* The following variables are used for matrix-vector products */
 59:   Vec        lvec;                 /* local vector */
 60:   Vec        diag;
 61:   VecScatter Mvctx;                /* scatter context for vector */
 62:   PetscBool  roworiented;          /* if true, row-oriented input, default true */

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

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

 72:   /* Used by MatMatMult() and MatPtAP() */
 73:   Mat_PtAPMPI *ptap;

 75:   /* used by MatMatMatMult() */
 76:   Mat_MatMatMatMult *matmatmatmult;

 78:   /* Used by MPICUSP and MPICUSPARSE classes */
 79:   void * spptr;

 81: } Mat_MPIAIJ;

 83: PETSC_EXTERN PetscErrorCode MatCreate_MPIAIJ(Mat);

 85: PETSC_INTERN PetscErrorCode MatAssemblyEnd_MPIAIJ(Mat,MatAssemblyType);

 87: PETSC_INTERN PetscErrorCode MatSetUpMultiply_MPIAIJ(Mat);
 88: PETSC_INTERN PetscErrorCode MatDisAssemble_MPIAIJ(Mat);
 89: PETSC_INTERN PetscErrorCode MatDuplicate_MPIAIJ(Mat,MatDuplicateOption,Mat*);
 90: PETSC_INTERN PetscErrorCode MatIncreaseOverlap_MPIAIJ(Mat,PetscInt,IS [],PetscInt);
 91: PETSC_INTERN PetscErrorCode MatIncreaseOverlap_MPIAIJ_Scalable(Mat,PetscInt,IS [],PetscInt);
 92: PETSC_INTERN PetscErrorCode MatFDColoringCreate_MPIXAIJ(Mat,ISColoring,MatFDColoring);
 93: PETSC_INTERN PetscErrorCode MatFDColoringSetUp_MPIXAIJ(Mat,ISColoring,MatFDColoring);
 94: PETSC_INTERN PetscErrorCode MatCreateSubMatrices_MPIAIJ (Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
 95: PETSC_INTERN PetscErrorCode MatCreateSubMatricesMPI_MPIAIJ (Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]);
 96: PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_All(Mat,MatCreateSubMatrixOption,MatReuse,Mat *[]);


 99: PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ(Mat,IS,IS,MatReuse,Mat*);
100: PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_nonscalable(Mat,IS,IS,PetscInt,MatReuse,Mat*);
101: PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_SameRowDist(Mat,IS,IS,IS,MatReuse,Mat*);
102: PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_SameRowColDist(Mat,IS,IS,MatReuse,Mat*);
103: PETSC_INTERN PetscErrorCode MatGetMultiProcBlock_MPIAIJ(Mat,MPI_Comm,MatReuse,Mat*);

105: PETSC_INTERN PetscErrorCode MatLoad_MPIAIJ(Mat,PetscViewer);
106: PETSC_INTERN PetscErrorCode MatCreateColmap_MPIAIJ_Private(Mat);
107: PETSC_INTERN PetscErrorCode MatMatMult_MPIDense_MPIAIJ(Mat,Mat,MatReuse,PetscReal,Mat*);
108: PETSC_INTERN PetscErrorCode MatMatMult_MPIAIJ_MPIAIJ(Mat,Mat,MatReuse,PetscReal,Mat*);
109: PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,PetscReal,Mat*);
110: PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat*);
111: PETSC_INTERN PetscErrorCode MatMatMultNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat);
112: PETSC_INTERN PetscErrorCode MatMatMultNumeric_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,Mat);

114: PETSC_INTERN PetscErrorCode MatMatMatMult_MPIAIJ_MPIAIJ_MPIAIJ(Mat,Mat,Mat,MatReuse,PetscReal,Mat*);
115: PETSC_INTERN PetscErrorCode MatMatMatMultSymbolic_MPIAIJ_MPIAIJ_MPIAIJ(Mat,Mat,Mat,PetscReal,Mat*);
116: PETSC_INTERN PetscErrorCode MatMatMatMultNumeric_MPIAIJ_MPIAIJ_MPIAIJ(Mat,Mat,Mat,Mat);

118: PETSC_INTERN PetscErrorCode MatPtAP_MPIAIJ_MPIAIJ(Mat,Mat,MatReuse,PetscReal,Mat*);
119: PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat*);
120: PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat);

122: PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_ptap(Mat,Mat,PetscReal,Mat*);
123: PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_ptap(Mat,Mat,Mat);

125: PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ_PtAP(Mat);
126: PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ(Mat);

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

130: PETSC_INTERN PetscErrorCode MatGetBrowsOfAoCols_MPIAIJ(Mat,Mat,MatReuse,PetscInt**,PetscInt**,MatScalar**,Mat*);
131: PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar [],InsertMode);
132: PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ_MatMatMult(Mat);
133: PETSC_INTERN PetscErrorCode PetscContainerDestroy_Mat_MatMatMultMPI(void*);
134: PETSC_INTERN PetscErrorCode MatSetOption_MPIAIJ(Mat,MatOption,PetscBool);

136: PETSC_INTERN PetscErrorCode MatTransposeMatMult_MPIAIJ_MPIAIJ(Mat,Mat,MatReuse,PetscReal,Mat*);
137: PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,PetscReal,Mat*);
138: PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat*);
139: PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat);
140: PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,Mat);
141: PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ_matmatmult(Mat,Mat,Mat);
142: PETSC_INTERN PetscErrorCode MatTransposeMatMult_MPIAIJ_MPIDense(Mat,Mat,MatReuse,PetscReal,Mat*);
143: PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIDense(Mat,Mat,PetscReal,Mat*);
144: PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIDense(Mat,Mat,Mat);
145: PETSC_INTERN PetscErrorCode MatGetSeqNonzeroStructure_MPIAIJ(Mat,Mat*);

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

150: #if !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_REAL_SINGLE) && !defined(PETSC_USE_REAL___FLOAT128) && !defined(PETSC_USE_REAL___FP16)
151: PETSC_INTERN PetscErrorCode MatLUFactorSymbolic_MPIAIJ_TFS(Mat,IS,IS,const MatFactorInfo*,Mat*);
152: #endif
153: PETSC_INTERN PetscErrorCode MatSolve_MPIAIJ(Mat,Vec,Vec);
154: PETSC_INTERN PetscErrorCode MatILUFactor_MPIAIJ(Mat,IS,IS,const MatFactorInfo*);

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

158: extern PetscErrorCode MatGetDiagonalBlock_MPIAIJ(Mat,Mat*);
159: extern PetscErrorCode MatDiagonalScaleLocal_MPIAIJ(Mat,Vec);

161: PETSC_INTERN PetscErrorCode MatGetSeqMats_MPIAIJ(Mat,Mat*,Mat*);
162: PETSC_INTERN PetscErrorCode MatSetSeqMats_MPIAIJ(Mat,IS,IS,IS,MatStructure,Mat,Mat);

164: /* compute apa = A[i,:]*P = Ad[i,:]*P_loc + Ao*[i,:]*P_oth using sparse axpy */
165: #define AProw_scalable(i,ad,ao,p_loc,p_oth,api,apj,apa) \
166: {\
167:   PetscInt    _anz,_pnz,_j,_k,*_ai,*_aj,_row,*_pi,*_pj,_nextp,*_apJ;      \
168:   PetscScalar *_aa,_valtmp,*_pa;                             \
169:   _apJ = apj + api[i];\
170:   /* diagonal portion of A */\
171:   _ai  = ad->i;\
172:   _anz = _ai[i+1] - _ai[i];\
173:   _aj  = ad->j + _ai[i];\
174:   _aa  = ad->a + _ai[i];\
175:   for (_j=0; _j<_anz; _j++) {\
176:     _row = _aj[_j]; \
177:     _pi  = p_loc->i;                                 \
178:     _pnz = _pi[_row+1] - _pi[_row];         \
179:     _pj  = p_loc->j + _pi[_row];                 \
180:     _pa  = p_loc->a + _pi[_row];                 \
181:     /* perform sparse axpy */                    \
182:     _valtmp = _aa[_j];                           \
183:     _nextp  = 0; \
184:     for (_k=0; _nextp<_pnz; _k++) {                    \
185:       if (_apJ[_k] == _pj[_nextp]) { /* column of AP == column of P */   \
186:         apa[_k] += _valtmp*_pa[_nextp++];                                \
187:       } \
188:     }                                           \
189:     (void)PetscLogFlops(2.0*_pnz);              \
190:   }                                             \
191:   /* off-diagonal portion of A */               \
192:   _ai  = ao->i;\
193:   _anz = _ai[i+1] - _ai[i];                     \
194:   _aj  = ao->j + _ai[i];                         \
195:   _aa  = ao->a + _ai[i];                         \
196:   for (_j=0; _j<_anz; _j++) {                      \
197:     _row = _aj[_j];    \
198:     _pi  = p_oth->i;                         \
199:     _pnz = _pi[_row+1] - _pi[_row];          \
200:     _pj  = p_oth->j + _pi[_row];                  \
201:     _pa  = p_oth->a + _pi[_row];                  \
202:     /* perform sparse axpy */                     \
203:     _valtmp = _aa[_j];                             \
204:     _nextp  = 0; \
205:     for (_k=0; _nextp<_pnz; _k++) {                     \
206:       if (_apJ[_k] == _pj[_nextp]) { /* column of AP == column of P */\
207:         apa[_k] += _valtmp*_pa[_nextp++];                       \
208:       }                                                     \
209:     }                                            \
210:     (void)PetscLogFlops(2.0*_pnz);               \
211:   } \
212: }

214: #define AProw_nonscalable(i,ad,ao,p_loc,p_oth,apa) \
215: {\
216:   PetscInt    _anz,_pnz,_j,_k,*_ai,*_aj,_row,*_pi,*_pj;      \
217:   PetscScalar *_aa,_valtmp,*_pa;                             \
218:   /* diagonal portion of A */\
219:   _ai  = ad->i;\
220:   _anz = _ai[i+1] - _ai[i];\
221:   _aj  = ad->j + _ai[i];\
222:   _aa  = ad->a + _ai[i];\
223:   for (_j=0; _j<_anz; _j++) {\
224:     _row = _aj[_j]; \
225:     _pi  = p_loc->i;                                 \
226:     _pnz = _pi[_row+1] - _pi[_row];         \
227:     _pj  = p_loc->j + _pi[_row];                 \
228:     _pa  = p_loc->a + _pi[_row];                 \
229:     /* perform dense axpy */                    \
230:     _valtmp = _aa[_j];                           \
231:     for (_k=0; _k<_pnz; _k++) {                    \
232:       apa[_pj[_k]] += _valtmp*_pa[_k];               \
233:     }                                           \
234:     (void)PetscLogFlops(2.0*_pnz);              \
235:   }                                             \
236:   /* off-diagonal portion of A */               \
237:   _ai  = ao->i;\
238:   _anz = _ai[i+1] - _ai[i];                     \
239:   _aj  = ao->j + _ai[i];                         \
240:   _aa  = ao->a + _ai[i];                         \
241:   for (_j=0; _j<_anz; _j++) {                      \
242:     _row = _aj[_j];    \
243:     _pi  = p_oth->i;                         \
244:     _pnz = _pi[_row+1] - _pi[_row];          \
245:     _pj  = p_oth->j + _pi[_row];                  \
246:     _pa  = p_oth->a + _pi[_row];                  \
247:     /* perform dense axpy */                     \
248:     _valtmp = _aa[_j];                             \
249:     for (_k=0; _k<_pnz; _k++) {                     \
250:       apa[_pj[_k]] += _valtmp*_pa[_k];                \
251:     }                                            \
252:     (void)PetscLogFlops(2.0*_pnz);               \
253:   } \
254: }

256: #endif