1 2 #if !defined(__MPIAIJ_H) 3 #define __MPIAIJ_H 4 5 #include <../src/mat/impls/aij/seq/aij.h> 6 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; 17 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 */ 32 PetscSF sf; /* use it to communicate remote part of C */ 33 PetscInt *c_othi,*c_rmti; 34 35 Mat_Merge_SeqsToMPI *merge; 36 PetscErrorCode (*destroy)(Mat); 37 PetscErrorCode (*duplicate)(Mat,MatDuplicateOption,Mat*); 38 PetscErrorCode (*view)(Mat,PetscViewer); 39 } Mat_APMPI; 40 41 typedef struct { 42 Mat A,B; /* local submatrices: A (diag part), 43 B (off-diag part) */ 44 PetscMPIInt size; /* size of communicator */ 45 PetscMPIInt rank; /* rank of proc in communicator */ 46 47 /* The following variables are used for matrix assembly */ 48 PetscBool donotstash; /* PETSC_TRUE if off processor entries dropped */ 49 MPI_Request *send_waits; /* array of send requests */ 50 MPI_Request *recv_waits; /* array of receive requests */ 51 PetscInt nsends,nrecvs; /* numbers of sends and receives */ 52 PetscScalar *svalues,*rvalues; /* sending and receiving data */ 53 PetscInt rmax; /* maximum message length */ 54 #if defined(PETSC_USE_CTABLE) 55 PetscTable colmap; 56 #else 57 PetscInt *colmap; /* local col number of off-diag col */ 58 #endif 59 PetscInt *garray; /* global index of all off-processor columns */ 60 61 /* The following variables are used for matrix-vector products */ 62 Vec lvec; /* local vector */ 63 Vec diag; 64 VecScatter Mvctx,Mvctx_mpi1; /* scatter context for vector */ 65 PetscBool Mvctx_mpi1_flg; /* if true, additional Mvctx_mpi1 is requested for mat-mat ops, default false */ 66 PetscBool roworiented; /* if true, row-oriented input, default true */ 67 68 /* The following variables are for MatGetRow() */ 69 PetscInt *rowindices; /* column indices for row */ 70 PetscScalar *rowvalues; /* nonzero values in row */ 71 PetscBool getrowactive; /* indicates MatGetRow(), not restored */ 72 73 /* Used by MatDistribute_MPIAIJ() to allow reuse of previous matrix allocation and nonzero pattern */ 74 PetscInt *ld; /* number of entries per row left of diagona block */ 75 76 /* Used by MatMatMult() and MatPtAP() */ 77 Mat_APMPI *ap; 78 79 /* used by MatMatMatMult() */ 80 Mat_MatMatMatMult *matmatmatmult; 81 82 /* Used by MPICUSP and MPICUSPARSE classes */ 83 void * spptr; 84 85 } Mat_MPIAIJ; 86 87 PETSC_EXTERN PetscErrorCode MatCreate_MPIAIJ(Mat); 88 89 PETSC_INTERN PetscErrorCode MatAssemblyEnd_MPIAIJ(Mat,MatAssemblyType); 90 91 PETSC_INTERN PetscErrorCode MatSetUpMultiply_MPIAIJ(Mat); 92 PETSC_INTERN PetscErrorCode MatDisAssemble_MPIAIJ(Mat); 93 PETSC_INTERN PetscErrorCode MatDuplicate_MPIAIJ(Mat,MatDuplicateOption,Mat*); 94 PETSC_INTERN PetscErrorCode MatIncreaseOverlap_MPIAIJ(Mat,PetscInt,IS [],PetscInt); 95 PETSC_INTERN PetscErrorCode MatIncreaseOverlap_MPIAIJ_Scalable(Mat,PetscInt,IS [],PetscInt); 96 PETSC_INTERN PetscErrorCode MatFDColoringCreate_MPIXAIJ(Mat,ISColoring,MatFDColoring); 97 PETSC_INTERN PetscErrorCode MatFDColoringSetUp_MPIXAIJ(Mat,ISColoring,MatFDColoring); 98 PETSC_INTERN PetscErrorCode MatCreateSubMatrices_MPIAIJ (Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]); 99 PETSC_INTERN PetscErrorCode MatCreateSubMatricesMPI_MPIAIJ (Mat,PetscInt,const IS[],const IS[],MatReuse,Mat *[]); 100 PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_All(Mat,MatCreateSubMatrixOption,MatReuse,Mat *[]); 101 PETSC_INTERN PetscErrorCode MatView_MPIAIJ(Mat,PetscViewer); 102 103 PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ(Mat,IS,IS,MatReuse,Mat*); 104 PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_nonscalable(Mat,IS,IS,PetscInt,MatReuse,Mat*); 105 PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_SameRowDist(Mat,IS,IS,IS,MatReuse,Mat*); 106 PETSC_INTERN PetscErrorCode MatCreateSubMatrix_MPIAIJ_SameRowColDist(Mat,IS,IS,MatReuse,Mat*); 107 PETSC_INTERN PetscErrorCode MatGetMultiProcBlock_MPIAIJ(Mat,MPI_Comm,MatReuse,Mat*); 108 109 PETSC_INTERN PetscErrorCode MatLoad_MPIAIJ(Mat,PetscViewer); 110 PETSC_INTERN PetscErrorCode MatLoad_MPIAIJ_Binary(Mat,PetscViewer); 111 PETSC_INTERN PetscErrorCode MatCreateColmap_MPIAIJ_Private(Mat); 112 PETSC_INTERN PetscErrorCode MatMatMult_MPIDense_MPIAIJ(Mat,Mat,MatReuse,PetscReal,Mat*); 113 PETSC_INTERN PetscErrorCode MatMatMult_MPIAIJ_MPIAIJ(Mat,Mat,MatReuse,PetscReal,Mat*); 114 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,PetscReal,Mat*); 115 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ_seqMPI(Mat,Mat,PetscReal,Mat*); 116 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat*); 117 PETSC_INTERN PetscErrorCode MatMatMultNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat); 118 PETSC_INTERN PetscErrorCode MatMatMultNumeric_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,Mat); 119 120 PETSC_INTERN PetscErrorCode MatMatMatMult_MPIAIJ_MPIAIJ_MPIAIJ(Mat,Mat,Mat,MatReuse,PetscReal,Mat*); 121 PETSC_INTERN PetscErrorCode MatMatMatMultSymbolic_MPIAIJ_MPIAIJ_MPIAIJ(Mat,Mat,Mat,PetscReal,Mat*); 122 PETSC_INTERN PetscErrorCode MatMatMatMultNumeric_MPIAIJ_MPIAIJ_MPIAIJ(Mat,Mat,Mat,Mat); 123 124 PETSC_INTERN PetscErrorCode MatPtAP_MPIAIJ_MPIAIJ(Mat,Mat,MatReuse,PetscReal,Mat*); 125 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat*); 126 PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat); 127 128 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_scalable(Mat,Mat,PetscReal,Mat*); 129 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_allatonce(Mat,Mat,PetscReal,Mat*); 130 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_allatonce_merged(Mat,Mat,PetscReal,Mat*); 131 PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_scalable(Mat,Mat,Mat); 132 PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_allatonce(Mat,Mat,Mat); 133 PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_allatonce_merged(Mat,Mat,Mat); 134 PETSC_INTERN PetscErrorCode MatFreeIntermediateDataStructures_MPIAIJ_AP(Mat); 135 PETSC_INTERN PetscErrorCode MatFreeIntermediateDataStructures_MPIAIJ_BC(Mat); 136 137 #if defined(PETSC_HAVE_HYPRE) 138 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_AIJ_AIJ_wHYPRE(Mat,Mat,PetscReal,Mat*); 139 #endif 140 141 PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ_PtAP(Mat); 142 PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ(Mat); 143 144 PETSC_INTERN PetscErrorCode MatRARt_MPIAIJ_MPIAIJ(Mat,Mat,MatReuse,PetscReal,Mat*); 145 146 PETSC_INTERN PetscErrorCode MatGetBrowsOfAoCols_MPIAIJ(Mat,Mat,MatReuse,PetscInt**,PetscInt**,MatScalar**,Mat*); 147 PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar [],InsertMode); 148 PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ_CopyFromCSRFormat(Mat,const PetscInt[],const PetscInt[],const PetscScalar[]); 149 PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ_CopyFromCSRFormat_Symbolic(Mat,const PetscInt[],const PetscInt[]); 150 PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ_MatMatMult(Mat); 151 PETSC_INTERN PetscErrorCode PetscContainerDestroy_Mat_MatMatMultMPI(void*); 152 PETSC_INTERN PetscErrorCode MatSetOption_MPIAIJ(Mat,MatOption,PetscBool); 153 154 PETSC_INTERN PetscErrorCode MatTransposeMatMult_MPIAIJ_MPIAIJ(Mat,Mat,MatReuse,PetscReal,Mat*); 155 PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,PetscReal,Mat*); 156 PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat*); 157 PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat); 158 PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,Mat); 159 PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ_matmatmult(Mat,Mat,Mat); 160 PETSC_INTERN PetscErrorCode MatTransposeMatMult_MPIAIJ_MPIDense(Mat,Mat,MatReuse,PetscReal,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