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 PetscInt *ld; /* number of entries per row left of diagonal block */ 66 67 /* Used by device classes */ 68 void * spptr; 69 70 /* MatSetValuesCOO() related stuff */ 71 PetscCount coo_n; /* Number of COOs passed to MatSetPreallocationCOO)() */ 72 PetscSF coo_sf; /* SF to send/recv remote values in MatSetValuesCOO() */ 73 PetscCount Annz,Bnnz; /* Number of entries in diagonal A and off-diagonal B */ 74 PetscCount Annz2,Bnnz2; /* Number of unique remote entries belonging to A and B */ 75 PetscCount Atot1,Atot2,Btot1,Btot2; /* Total local (tot1) and remote (tot2) entries (which might contain repeats) belonging to A and B */ 76 PetscCount *Ajmap1,*Aperm1; /* Lengths: [Annz+1], [Atot1]. Local entries to diag */ 77 PetscCount *Bjmap1,*Bperm1; /* Lengths: [Bnnz+1], [Btot1]. Local entries to offdiag */ 78 PetscCount *Aimap2,*Ajmap2,*Aperm2; /* Lengths: [Annz2], [Annz2+1], [Atot2]. Remote entries to diag */ 79 PetscCount *Bimap2,*Bjmap2,*Bperm2; /* Lengths: [Bnnz2], [Bnnz2+1], [Btot2]. Remote entries to offdiag */ 80 PetscCount *Cperm1; /* [sendlen] Permutation to fill MPI send buffer. 'C' for communication */ 81 PetscScalar *sendbuf,*recvbuf; /* Buffers for remote values in MatSetValuesCOO() */ 82 PetscInt sendlen,recvlen; /* Lengths (in unit of PetscScalar) of send/recvbuf */ 83 } Mat_MPIAIJ; 84 85 PETSC_EXTERN PetscErrorCode MatCreate_MPIAIJ(Mat); 86 87 PETSC_INTERN PetscErrorCode MatAssemblyEnd_MPIAIJ(Mat,MatAssemblyType); 88 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); 100 101 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*); 106 107 PETSC_INTERN PetscErrorCode MatLoad_MPIAIJ(Mat,PetscViewer); 108 PETSC_INTERN PetscErrorCode MatLoad_MPIAIJ_Binary(Mat,PetscViewer); 109 PETSC_INTERN PetscErrorCode MatCreateColmap_MPIAIJ_Private(Mat); 110 111 PETSC_INTERN PetscErrorCode MatProductSetFromOptions_MPIAIJ(Mat); 112 PETSC_INTERN PetscErrorCode MatProductSetFromOptions_MPIAIJBACKEND(Mat); 113 PETSC_INTERN PetscErrorCode MatProductSymbolic_MPIAIJBACKEND(Mat); 114 PETSC_INTERN PetscErrorCode MatProductSymbolic_AB_MPIAIJ_MPIAIJ(Mat); 115 116 PETSC_INTERN PetscErrorCode MatProductSymbolic_PtAP_MPIAIJ_MPIAIJ(Mat); 117 118 PETSC_INTERN PetscErrorCode MatProductSymbolic_RARt_MPIAIJ_MPIAIJ(Mat); 119 PETSC_INTERN PetscErrorCode MatProductNumeric_RARt_MPIAIJ_MPIAIJ(Mat); 120 121 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,PetscReal,Mat); 122 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ_seqMPI(Mat,Mat,PetscReal,Mat); 123 PETSC_INTERN PetscErrorCode MatMatMultSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat); 124 PETSC_INTERN PetscErrorCode MatMatMultNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat); 125 PETSC_INTERN PetscErrorCode MatMatMultNumeric_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,Mat); 126 127 PETSC_INTERN PetscErrorCode MatMatMatMultSymbolic_MPIAIJ_MPIAIJ_MPIAIJ(Mat,Mat,Mat,PetscReal,Mat); 128 PETSC_INTERN PetscErrorCode MatMatMatMultNumeric_MPIAIJ_MPIAIJ_MPIAIJ(Mat,Mat,Mat,Mat); 129 130 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat); 131 PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat); 132 133 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_scalable(Mat,Mat,PetscReal,Mat); 134 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_allatonce(Mat,Mat,PetscReal,Mat); 135 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_allatonce_merged(Mat,Mat,PetscReal,Mat); 136 PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_scalable(Mat,Mat,Mat); 137 PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_allatonce(Mat,Mat,Mat); 138 PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_allatonce_merged(Mat,Mat,Mat); 139 140 #if defined(PETSC_HAVE_HYPRE) 141 PETSC_INTERN PetscErrorCode MatPtAPSymbolic_AIJ_AIJ_wHYPRE(Mat,Mat,PetscReal,Mat); 142 #endif 143 PETSC_INTERN PetscErrorCode MatConvert_MPIAIJ_MPIDense(Mat,MatType,MatReuse,Mat*); 144 #if defined(PETSC_HAVE_SCALAPACK) 145 PETSC_INTERN PetscErrorCode MatConvert_AIJ_ScaLAPACK(Mat,MatType,MatReuse,Mat*); 146 #endif 147 148 PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ(Mat); 149 PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ_PtAP(void*); 150 PETSC_INTERN PetscErrorCode MatDestroy_MPIAIJ_MatMatMult(void*); 151 152 PETSC_INTERN PetscErrorCode MatGetBrowsOfAoCols_MPIAIJ(Mat,Mat,MatReuse,PetscInt**,PetscInt**,MatScalar**,Mat*); 153 PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[],const PetscScalar [],InsertMode); 154 PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ_CopyFromCSRFormat(Mat,const PetscInt[],const PetscInt[],const PetscScalar[]); 155 PETSC_INTERN PetscErrorCode MatSetValues_MPIAIJ_CopyFromCSRFormat_Symbolic(Mat,const PetscInt[],const PetscInt[]); 156 PETSC_INTERN PetscErrorCode MatSetOption_MPIAIJ(Mat,MatOption,PetscBool); 157 158 PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,PetscReal,Mat); 159 PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIAIJ(Mat,Mat,PetscReal,Mat); 160 PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ(Mat,Mat,Mat); 161 PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ_nonscalable(Mat,Mat,Mat); 162 PETSC_INTERN PetscErrorCode MatTransposeMatMultNumeric_MPIAIJ_MPIAIJ_matmatmult(Mat,Mat,Mat); 163 PETSC_INTERN PetscErrorCode MatTransposeMatMultSymbolic_MPIAIJ_MPIDense(Mat,Mat,PetscReal,Mat); 164 PETSC_INTERN PetscErrorCode MatGetSeqNonzeroStructure_MPIAIJ(Mat,Mat*); 165 166 PETSC_INTERN PetscErrorCode MatSetFromOptions_MPIAIJ(PetscOptionItems*,Mat); 167 PETSC_INTERN PetscErrorCode MatMPIAIJSetPreallocation_MPIAIJ(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]); 168 169 #if !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_REAL_SINGLE) && !defined(PETSC_USE_REAL___FLOAT128) && !defined(PETSC_USE_REAL___FP16) 170 PETSC_INTERN PetscErrorCode MatLUFactorSymbolic_MPIAIJ_TFS(Mat,IS,IS,const MatFactorInfo*,Mat*); 171 #endif 172 PETSC_INTERN PetscErrorCode MatSolve_MPIAIJ(Mat,Vec,Vec); 173 PETSC_INTERN PetscErrorCode MatILUFactor_MPIAIJ(Mat,IS,IS,const MatFactorInfo*); 174 175 PETSC_INTERN PetscErrorCode MatAXPYGetPreallocation_MPIX_private(PetscInt,const PetscInt*,const PetscInt*,const PetscInt*,const PetscInt*,const PetscInt*,const PetscInt*,PetscInt*); 176 177 extern PetscErrorCode MatGetDiagonalBlock_MPIAIJ(Mat,Mat*); 178 extern PetscErrorCode MatDiagonalScaleLocal_MPIAIJ(Mat,Vec); 179 180 PETSC_INTERN PetscErrorCode MatGetSeqMats_MPIAIJ(Mat,Mat*,Mat*); 181 PETSC_INTERN PetscErrorCode MatSetSeqMats_MPIAIJ(Mat,IS,IS,IS,MatStructure,Mat,Mat); 182 183 PETSC_INTERN PetscErrorCode MatSetPreallocationCOO_MPIAIJ(Mat,PetscCount,PetscInt[],PetscInt[]); 184 PETSC_INTERN PetscErrorCode MatResetPreallocationCOO_MPIAIJ(Mat); 185 186 /* compute apa = A[i,:]*P = Ad[i,:]*P_loc + Ao*[i,:]*P_oth using sparse axpy */ 187 #define AProw_scalable(i,ad,ao,p_loc,p_oth,api,apj,apa) \ 188 {\ 189 PetscInt _anz,_pnz,_j,_k,*_ai,*_aj,_row,*_pi,*_pj,_nextp,*_apJ;\ 190 PetscScalar *_aa,_valtmp,*_pa;\ 191 _apJ = apj + api[i];\ 192 /* diagonal portion of A */\ 193 _ai = ad->i;\ 194 _anz = _ai[i+1] - _ai[i];\ 195 _aj = ad->j + _ai[i];\ 196 _aa = ad->a + _ai[i];\ 197 for (_j=0; _j<_anz; _j++) {\ 198 _row = _aj[_j]; \ 199 _pi = p_loc->i; \ 200 _pnz = _pi[_row+1] - _pi[_row]; \ 201 _pj = p_loc->j + _pi[_row]; \ 202 _pa = p_loc->a + _pi[_row]; \ 203 /* perform sparse axpy */ \ 204 _valtmp = _aa[_j]; \ 205 _nextp = 0; \ 206 for (_k=0; _nextp<_pnz; _k++) { \ 207 if (_apJ[_k] == _pj[_nextp]) { /* column of AP == column of P */\ 208 apa[_k] += _valtmp*_pa[_nextp++]; \ 209 } \ 210 } \ 211 (void)PetscLogFlops(2.0*_pnz); \ 212 } \ 213 /* off-diagonal portion of A */ \ 214 if (p_oth){ \ 215 _ai = ao->i;\ 216 _anz = _ai[i+1] - _ai[i]; \ 217 _aj = ao->j + _ai[i]; \ 218 _aa = ao->a + _ai[i]; \ 219 for (_j=0; _j<_anz; _j++) { \ 220 _row = _aj[_j]; \ 221 _pi = p_oth->i; \ 222 _pnz = _pi[_row+1] - _pi[_row]; \ 223 _pj = p_oth->j + _pi[_row]; \ 224 _pa = p_oth->a + _pi[_row]; \ 225 /* perform sparse axpy */ \ 226 _valtmp = _aa[_j]; \ 227 _nextp = 0; \ 228 for (_k=0; _nextp<_pnz; _k++) { \ 229 if (_apJ[_k] == _pj[_nextp]) { /* column of AP == column of P */\ 230 apa[_k] += _valtmp*_pa[_nextp++]; \ 231 } \ 232 } \ 233 (void)PetscLogFlops(2.0*_pnz); \ 234 } \ 235 }\ 236 } 237 238 #define AProw_nonscalable(i,ad,ao,p_loc,p_oth,apa) \ 239 {\ 240 PetscInt _anz,_pnz,_j,_k,*_ai,*_aj,_row,*_pi,*_pj;\ 241 PetscScalar *_aa,_valtmp,*_pa; \ 242 /* diagonal portion of A */\ 243 _ai = ad->i;\ 244 _anz = _ai[i+1] - _ai[i];\ 245 _aj = ad->j + _ai[i];\ 246 _aa = ad->a + _ai[i];\ 247 for (_j=0; _j<_anz; _j++) {\ 248 _row = _aj[_j]; \ 249 _pi = p_loc->i; \ 250 _pnz = _pi[_row+1] - _pi[_row]; \ 251 _pj = p_loc->j + _pi[_row]; \ 252 _pa = p_loc->a + _pi[_row]; \ 253 /* perform dense axpy */ \ 254 _valtmp = _aa[_j]; \ 255 for (_k=0; _k<_pnz; _k++) { \ 256 apa[_pj[_k]] += _valtmp*_pa[_k]; \ 257 } \ 258 (void)PetscLogFlops(2.0*_pnz); \ 259 } \ 260 /* off-diagonal portion of A */ \ 261 if (p_oth){ \ 262 _ai = ao->i;\ 263 _anz = _ai[i+1] - _ai[i]; \ 264 _aj = ao->j + _ai[i]; \ 265 _aa = ao->a + _ai[i]; \ 266 for (_j=0; _j<_anz; _j++) { \ 267 _row = _aj[_j]; \ 268 _pi = p_oth->i; \ 269 _pnz = _pi[_row+1] - _pi[_row]; \ 270 _pj = p_oth->j + _pi[_row]; \ 271 _pa = p_oth->a + _pi[_row]; \ 272 /* perform dense axpy */ \ 273 _valtmp = _aa[_j]; \ 274 for (_k=0; _k<_pnz; _k++) { \ 275 apa[_pj[_k]] += _valtmp*_pa[_k]; \ 276 } \ 277 (void)PetscLogFlops(2.0*_pnz); \ 278 } \ 279 }\ 280 } 281 282 #endif 283