1 #include <../src/mat/impls/baij/mpi/mpibaij.h> /*I "petscmat.h" I*/ 2 #include <../src/mat/impls/sbaij/mpi/mpisbaij.h> 3 #include <../src/mat/impls/sbaij/seq/sbaij.h> 4 #include <petscblaslapack.h> 5 6 static PetscErrorCode MatDestroy_MPISBAIJ(Mat mat) 7 { 8 Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data; 9 10 PetscFunctionBegin; 11 PetscCall(PetscLogObjectState((PetscObject)mat, "Rows=%" PetscInt_FMT ",Cols=%" PetscInt_FMT, mat->rmap->N, mat->cmap->N)); 12 PetscCall(MatStashDestroy_Private(&mat->stash)); 13 PetscCall(MatStashDestroy_Private(&mat->bstash)); 14 PetscCall(MatDestroy(&baij->A)); 15 PetscCall(MatDestroy(&baij->B)); 16 #if defined(PETSC_USE_CTABLE) 17 PetscCall(PetscHMapIDestroy(&baij->colmap)); 18 #else 19 PetscCall(PetscFree(baij->colmap)); 20 #endif 21 PetscCall(PetscFree(baij->garray)); 22 PetscCall(VecDestroy(&baij->lvec)); 23 PetscCall(VecScatterDestroy(&baij->Mvctx)); 24 PetscCall(VecDestroy(&baij->slvec0)); 25 PetscCall(VecDestroy(&baij->slvec0b)); 26 PetscCall(VecDestroy(&baij->slvec1)); 27 PetscCall(VecDestroy(&baij->slvec1a)); 28 PetscCall(VecDestroy(&baij->slvec1b)); 29 PetscCall(VecScatterDestroy(&baij->sMvctx)); 30 PetscCall(PetscFree2(baij->rowvalues, baij->rowindices)); 31 PetscCall(PetscFree(baij->barray)); 32 PetscCall(PetscFree(baij->hd)); 33 PetscCall(VecDestroy(&baij->diag)); 34 PetscCall(VecDestroy(&baij->bb1)); 35 PetscCall(VecDestroy(&baij->xx1)); 36 #if defined(PETSC_USE_REAL_MAT_SINGLE) 37 PetscCall(PetscFree(baij->setvaluescopy)); 38 #endif 39 PetscCall(PetscFree(baij->in_loc)); 40 PetscCall(PetscFree(baij->v_loc)); 41 PetscCall(PetscFree(baij->rangebs)); 42 PetscCall(PetscFree(mat->data)); 43 44 PetscCall(PetscObjectChangeTypeName((PetscObject)mat, NULL)); 45 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatStoreValues_C", NULL)); 46 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatRetrieveValues_C", NULL)); 47 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMPISBAIJSetPreallocation_C", NULL)); 48 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMPISBAIJSetPreallocationCSR_C", NULL)); 49 #if defined(PETSC_HAVE_ELEMENTAL) 50 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpisbaij_elemental_C", NULL)); 51 #endif 52 #if defined(PETSC_HAVE_SCALAPACK) 53 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpisbaij_scalapack_C", NULL)); 54 #endif 55 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpisbaij_mpiaij_C", NULL)); 56 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpisbaij_mpibaij_C", NULL)); 57 PetscFunctionReturn(PETSC_SUCCESS); 58 } 59 60 /* defines MatSetValues_MPI_Hash(), MatAssemblyBegin_MPI_Hash(), MatAssemblyEnd_MPI_Hash(), MatSetUp_MPI_Hash() */ 61 #define TYPE SBAIJ 62 #define TYPE_SBAIJ 63 #include "../src/mat/impls/aij/mpi/mpihashmat.h" 64 #undef TYPE 65 #undef TYPE_SBAIJ 66 67 #if defined(PETSC_HAVE_ELEMENTAL) 68 PETSC_INTERN PetscErrorCode MatConvert_MPISBAIJ_Elemental(Mat, MatType, MatReuse, Mat *); 69 #endif 70 #if defined(PETSC_HAVE_SCALAPACK) 71 PETSC_INTERN PetscErrorCode MatConvert_SBAIJ_ScaLAPACK(Mat, MatType, MatReuse, Mat *); 72 #endif 73 74 /* This could be moved to matimpl.h */ 75 static PetscErrorCode MatPreallocateWithMats_Private(Mat B, PetscInt nm, Mat X[], PetscBool symm[], PetscBool fill) 76 { 77 Mat preallocator; 78 PetscInt r, rstart, rend; 79 PetscInt bs, i, m, n, M, N; 80 PetscBool cong = PETSC_TRUE; 81 82 PetscFunctionBegin; 83 PetscValidHeaderSpecific(B, MAT_CLASSID, 1); 84 PetscValidLogicalCollectiveInt(B, nm, 2); 85 for (i = 0; i < nm; i++) { 86 PetscValidHeaderSpecific(X[i], MAT_CLASSID, 3); 87 PetscCall(PetscLayoutCompare(B->rmap, X[i]->rmap, &cong)); 88 PetscCheck(cong, PetscObjectComm((PetscObject)B), PETSC_ERR_SUP, "Not for different layouts"); 89 } 90 PetscValidLogicalCollectiveBool(B, fill, 5); 91 PetscCall(MatGetBlockSize(B, &bs)); 92 PetscCall(MatGetSize(B, &M, &N)); 93 PetscCall(MatGetLocalSize(B, &m, &n)); 94 PetscCall(MatCreate(PetscObjectComm((PetscObject)B), &preallocator)); 95 PetscCall(MatSetType(preallocator, MATPREALLOCATOR)); 96 PetscCall(MatSetBlockSize(preallocator, bs)); 97 PetscCall(MatSetSizes(preallocator, m, n, M, N)); 98 PetscCall(MatSetUp(preallocator)); 99 PetscCall(MatGetOwnershipRange(preallocator, &rstart, &rend)); 100 for (r = rstart; r < rend; ++r) { 101 PetscInt ncols; 102 const PetscInt *row; 103 const PetscScalar *vals; 104 105 for (i = 0; i < nm; i++) { 106 PetscCall(MatGetRow(X[i], r, &ncols, &row, &vals)); 107 PetscCall(MatSetValues(preallocator, 1, &r, ncols, row, vals, INSERT_VALUES)); 108 if (symm && symm[i]) PetscCall(MatSetValues(preallocator, ncols, row, 1, &r, vals, INSERT_VALUES)); 109 PetscCall(MatRestoreRow(X[i], r, &ncols, &row, &vals)); 110 } 111 } 112 PetscCall(MatAssemblyBegin(preallocator, MAT_FINAL_ASSEMBLY)); 113 PetscCall(MatAssemblyEnd(preallocator, MAT_FINAL_ASSEMBLY)); 114 PetscCall(MatPreallocatorPreallocate(preallocator, fill, B)); 115 PetscCall(MatDestroy(&preallocator)); 116 PetscFunctionReturn(PETSC_SUCCESS); 117 } 118 119 PETSC_INTERN PetscErrorCode MatConvert_MPISBAIJ_Basic(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) 120 { 121 Mat B; 122 PetscInt r; 123 124 PetscFunctionBegin; 125 if (reuse != MAT_REUSE_MATRIX) { 126 PetscBool symm = PETSC_TRUE, isdense; 127 PetscInt bs; 128 129 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &B)); 130 PetscCall(MatSetSizes(B, A->rmap->n, A->cmap->n, A->rmap->N, A->cmap->N)); 131 PetscCall(MatSetType(B, newtype)); 132 PetscCall(MatGetBlockSize(A, &bs)); 133 PetscCall(MatSetBlockSize(B, bs)); 134 PetscCall(PetscLayoutSetUp(B->rmap)); 135 PetscCall(PetscLayoutSetUp(B->cmap)); 136 PetscCall(PetscObjectTypeCompareAny((PetscObject)B, &isdense, MATSEQDENSE, MATMPIDENSE, MATSEQDENSECUDA, "")); 137 if (!isdense) { 138 PetscCall(MatGetRowUpperTriangular(A)); 139 PetscCall(MatPreallocateWithMats_Private(B, 1, &A, &symm, PETSC_TRUE)); 140 PetscCall(MatRestoreRowUpperTriangular(A)); 141 } else { 142 PetscCall(MatSetUp(B)); 143 } 144 } else { 145 B = *newmat; 146 PetscCall(MatZeroEntries(B)); 147 } 148 149 PetscCall(MatGetRowUpperTriangular(A)); 150 for (r = A->rmap->rstart; r < A->rmap->rend; r++) { 151 PetscInt ncols; 152 const PetscInt *row; 153 const PetscScalar *vals; 154 155 PetscCall(MatGetRow(A, r, &ncols, &row, &vals)); 156 PetscCall(MatSetValues(B, 1, &r, ncols, row, vals, INSERT_VALUES)); 157 #if defined(PETSC_USE_COMPLEX) 158 if (A->hermitian == PETSC_BOOL3_TRUE) { 159 PetscInt i; 160 for (i = 0; i < ncols; i++) PetscCall(MatSetValue(B, row[i], r, PetscConj(vals[i]), INSERT_VALUES)); 161 } else { 162 PetscCall(MatSetValues(B, ncols, row, 1, &r, vals, INSERT_VALUES)); 163 } 164 #else 165 PetscCall(MatSetValues(B, ncols, row, 1, &r, vals, INSERT_VALUES)); 166 #endif 167 PetscCall(MatRestoreRow(A, r, &ncols, &row, &vals)); 168 } 169 PetscCall(MatRestoreRowUpperTriangular(A)); 170 PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY)); 171 PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY)); 172 173 if (reuse == MAT_INPLACE_MATRIX) { 174 PetscCall(MatHeaderReplace(A, &B)); 175 } else { 176 *newmat = B; 177 } 178 PetscFunctionReturn(PETSC_SUCCESS); 179 } 180 181 static PetscErrorCode MatStoreValues_MPISBAIJ(Mat mat) 182 { 183 Mat_MPISBAIJ *aij = (Mat_MPISBAIJ *)mat->data; 184 185 PetscFunctionBegin; 186 PetscCall(MatStoreValues(aij->A)); 187 PetscCall(MatStoreValues(aij->B)); 188 PetscFunctionReturn(PETSC_SUCCESS); 189 } 190 191 static PetscErrorCode MatRetrieveValues_MPISBAIJ(Mat mat) 192 { 193 Mat_MPISBAIJ *aij = (Mat_MPISBAIJ *)mat->data; 194 195 PetscFunctionBegin; 196 PetscCall(MatRetrieveValues(aij->A)); 197 PetscCall(MatRetrieveValues(aij->B)); 198 PetscFunctionReturn(PETSC_SUCCESS); 199 } 200 201 #define MatSetValues_SeqSBAIJ_A_Private(row, col, value, addv, orow, ocol) \ 202 do { \ 203 brow = row / bs; \ 204 rp = aj + ai[brow]; \ 205 ap = aa + bs2 * ai[brow]; \ 206 rmax = aimax[brow]; \ 207 nrow = ailen[brow]; \ 208 bcol = col / bs; \ 209 ridx = row % bs; \ 210 cidx = col % bs; \ 211 low = 0; \ 212 high = nrow; \ 213 while (high - low > 3) { \ 214 t = (low + high) / 2; \ 215 if (rp[t] > bcol) high = t; \ 216 else low = t; \ 217 } \ 218 for (_i = low; _i < high; _i++) { \ 219 if (rp[_i] > bcol) break; \ 220 if (rp[_i] == bcol) { \ 221 bap = ap + bs2 * _i + bs * cidx + ridx; \ 222 if (addv == ADD_VALUES) *bap += value; \ 223 else *bap = value; \ 224 goto a_noinsert; \ 225 } \ 226 } \ 227 if (a->nonew == 1) goto a_noinsert; \ 228 PetscCheck(a->nonew != -1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Inserting a new nonzero at global row/column (%" PetscInt_FMT ", %" PetscInt_FMT ") into matrix", orow, ocol); \ 229 MatSeqXAIJReallocateAIJ(A, a->mbs, bs2, nrow, brow, bcol, rmax, aa, ai, aj, rp, ap, aimax, a->nonew, MatScalar); \ 230 N = nrow++ - 1; \ 231 /* shift up all the later entries in this row */ \ 232 PetscCall(PetscArraymove(rp + _i + 1, rp + _i, N - _i + 1)); \ 233 PetscCall(PetscArraymove(ap + bs2 * (_i + 1), ap + bs2 * _i, bs2 * (N - _i + 1))); \ 234 PetscCall(PetscArrayzero(ap + bs2 * _i, bs2)); \ 235 rp[_i] = bcol; \ 236 ap[bs2 * _i + bs * cidx + ridx] = value; \ 237 A->nonzerostate++; \ 238 a_noinsert:; \ 239 ailen[brow] = nrow; \ 240 } while (0) 241 242 #define MatSetValues_SeqSBAIJ_B_Private(row, col, value, addv, orow, ocol) \ 243 do { \ 244 brow = row / bs; \ 245 rp = bj + bi[brow]; \ 246 ap = ba + bs2 * bi[brow]; \ 247 rmax = bimax[brow]; \ 248 nrow = bilen[brow]; \ 249 bcol = col / bs; \ 250 ridx = row % bs; \ 251 cidx = col % bs; \ 252 low = 0; \ 253 high = nrow; \ 254 while (high - low > 3) { \ 255 t = (low + high) / 2; \ 256 if (rp[t] > bcol) high = t; \ 257 else low = t; \ 258 } \ 259 for (_i = low; _i < high; _i++) { \ 260 if (rp[_i] > bcol) break; \ 261 if (rp[_i] == bcol) { \ 262 bap = ap + bs2 * _i + bs * cidx + ridx; \ 263 if (addv == ADD_VALUES) *bap += value; \ 264 else *bap = value; \ 265 goto b_noinsert; \ 266 } \ 267 } \ 268 if (b->nonew == 1) goto b_noinsert; \ 269 PetscCheck(b->nonew != -1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Inserting a new nonzero at global row/column (%" PetscInt_FMT ", %" PetscInt_FMT ") into matrix", orow, ocol); \ 270 MatSeqXAIJReallocateAIJ(B, b->mbs, bs2, nrow, brow, bcol, rmax, ba, bi, bj, rp, ap, bimax, b->nonew, MatScalar); \ 271 N = nrow++ - 1; \ 272 /* shift up all the later entries in this row */ \ 273 PetscCall(PetscArraymove(rp + _i + 1, rp + _i, N - _i + 1)); \ 274 PetscCall(PetscArraymove(ap + bs2 * (_i + 1), ap + bs2 * _i, bs2 * (N - _i + 1))); \ 275 PetscCall(PetscArrayzero(ap + bs2 * _i, bs2)); \ 276 rp[_i] = bcol; \ 277 ap[bs2 * _i + bs * cidx + ridx] = value; \ 278 B->nonzerostate++; \ 279 b_noinsert:; \ 280 bilen[brow] = nrow; \ 281 } while (0) 282 283 /* Only add/insert a(i,j) with i<=j (blocks). 284 Any a(i,j) with i>j input by user is ignored or generates an error 285 */ 286 static PetscErrorCode MatSetValues_MPISBAIJ(Mat mat, PetscInt m, const PetscInt im[], PetscInt n, const PetscInt in[], const PetscScalar v[], InsertMode addv) 287 { 288 Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data; 289 MatScalar value; 290 PetscBool roworiented = baij->roworiented; 291 PetscInt i, j, row, col; 292 PetscInt rstart_orig = mat->rmap->rstart; 293 PetscInt rend_orig = mat->rmap->rend, cstart_orig = mat->cmap->rstart; 294 PetscInt cend_orig = mat->cmap->rend, bs = mat->rmap->bs; 295 296 /* Some Variables required in the macro */ 297 Mat A = baij->A; 298 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)(A)->data; 299 PetscInt *aimax = a->imax, *ai = a->i, *ailen = a->ilen, *aj = a->j; 300 MatScalar *aa = a->a; 301 302 Mat B = baij->B; 303 Mat_SeqBAIJ *b = (Mat_SeqBAIJ *)(B)->data; 304 PetscInt *bimax = b->imax, *bi = b->i, *bilen = b->ilen, *bj = b->j; 305 MatScalar *ba = b->a; 306 307 PetscInt *rp, ii, nrow, _i, rmax, N, brow, bcol; 308 PetscInt low, high, t, ridx, cidx, bs2 = a->bs2; 309 MatScalar *ap, *bap; 310 311 /* for stash */ 312 PetscInt n_loc, *in_loc = NULL; 313 MatScalar *v_loc = NULL; 314 315 PetscFunctionBegin; 316 if (!baij->donotstash) { 317 if (n > baij->n_loc) { 318 PetscCall(PetscFree(baij->in_loc)); 319 PetscCall(PetscFree(baij->v_loc)); 320 PetscCall(PetscMalloc1(n, &baij->in_loc)); 321 PetscCall(PetscMalloc1(n, &baij->v_loc)); 322 323 baij->n_loc = n; 324 } 325 in_loc = baij->in_loc; 326 v_loc = baij->v_loc; 327 } 328 329 for (i = 0; i < m; i++) { 330 if (im[i] < 0) continue; 331 PetscCheck(im[i] < mat->rmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Row too large: row %" PetscInt_FMT " max %" PetscInt_FMT, im[i], mat->rmap->N - 1); 332 if (im[i] >= rstart_orig && im[i] < rend_orig) { /* this processor entry */ 333 row = im[i] - rstart_orig; /* local row index */ 334 for (j = 0; j < n; j++) { 335 if (im[i] / bs > in[j] / bs) { 336 if (a->ignore_ltriangular) { 337 continue; /* ignore lower triangular blocks */ 338 } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_USER, "Lower triangular value cannot be set for sbaij format. Ignoring these values, run with -mat_ignore_lower_triangular or call MatSetOption(mat,MAT_IGNORE_LOWER_TRIANGULAR,PETSC_TRUE)"); 339 } 340 if (in[j] >= cstart_orig && in[j] < cend_orig) { /* diag entry (A) */ 341 col = in[j] - cstart_orig; /* local col index */ 342 brow = row / bs; 343 bcol = col / bs; 344 if (brow > bcol) continue; /* ignore lower triangular blocks of A */ 345 if (roworiented) value = v[i * n + j]; 346 else value = v[i + j * m]; 347 MatSetValues_SeqSBAIJ_A_Private(row, col, value, addv, im[i], in[j]); 348 /* PetscCall(MatSetValues_SeqBAIJ(baij->A,1,&row,1,&col,&value,addv)); */ 349 } else if (in[j] < 0) { 350 continue; 351 } else { 352 PetscCheck(in[j] < mat->cmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Column too large: col %" PetscInt_FMT " max %" PetscInt_FMT, in[j], mat->cmap->N - 1); 353 /* off-diag entry (B) */ 354 if (mat->was_assembled) { 355 if (!baij->colmap) PetscCall(MatCreateColmap_MPIBAIJ_Private(mat)); 356 #if defined(PETSC_USE_CTABLE) 357 PetscCall(PetscHMapIGetWithDefault(baij->colmap, in[j] / bs + 1, 0, &col)); 358 col = col - 1; 359 #else 360 col = baij->colmap[in[j] / bs] - 1; 361 #endif 362 if (col < 0 && !((Mat_SeqSBAIJ *)(baij->A->data))->nonew) { 363 PetscCall(MatDisAssemble_MPISBAIJ(mat)); 364 col = in[j]; 365 /* Reinitialize the variables required by MatSetValues_SeqBAIJ_B_Private() */ 366 B = baij->B; 367 b = (Mat_SeqBAIJ *)(B)->data; 368 bimax = b->imax; 369 bi = b->i; 370 bilen = b->ilen; 371 bj = b->j; 372 ba = b->a; 373 } else col += in[j] % bs; 374 } else col = in[j]; 375 if (roworiented) value = v[i * n + j]; 376 else value = v[i + j * m]; 377 MatSetValues_SeqSBAIJ_B_Private(row, col, value, addv, im[i], in[j]); 378 /* PetscCall(MatSetValues_SeqBAIJ(baij->B,1,&row,1,&col,&value,addv)); */ 379 } 380 } 381 } else { /* off processor entry */ 382 PetscCheck(!mat->nooffprocentries, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Setting off process row %" PetscInt_FMT " even though MatSetOption(,MAT_NO_OFF_PROC_ENTRIES,PETSC_TRUE) was set", im[i]); 383 if (!baij->donotstash) { 384 mat->assembled = PETSC_FALSE; 385 n_loc = 0; 386 for (j = 0; j < n; j++) { 387 if (im[i] / bs > in[j] / bs) continue; /* ignore lower triangular blocks */ 388 in_loc[n_loc] = in[j]; 389 if (roworiented) { 390 v_loc[n_loc] = v[i * n + j]; 391 } else { 392 v_loc[n_loc] = v[j * m + i]; 393 } 394 n_loc++; 395 } 396 PetscCall(MatStashValuesRow_Private(&mat->stash, im[i], n_loc, in_loc, v_loc, PETSC_FALSE)); 397 } 398 } 399 } 400 PetscFunctionReturn(PETSC_SUCCESS); 401 } 402 403 static inline PetscErrorCode MatSetValuesBlocked_SeqSBAIJ_Inlined(Mat A, PetscInt row, PetscInt col, const PetscScalar v[], InsertMode is, PetscInt orow, PetscInt ocol) 404 { 405 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 406 PetscInt *rp, low, high, t, ii, jj, nrow, i, rmax, N; 407 PetscInt *imax = a->imax, *ai = a->i, *ailen = a->ilen; 408 PetscInt *aj = a->j, nonew = a->nonew, bs2 = a->bs2, bs = A->rmap->bs; 409 PetscBool roworiented = a->roworiented; 410 const PetscScalar *value = v; 411 MatScalar *ap, *aa = a->a, *bap; 412 413 PetscFunctionBegin; 414 if (col < row) { 415 if (a->ignore_ltriangular) PetscFunctionReturn(PETSC_SUCCESS); /* ignore lower triangular block */ 416 else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_USER, "Lower triangular value cannot be set for sbaij format. Ignoring these values, run with -mat_ignore_lower_triangular or call MatSetOption(mat,MAT_IGNORE_LOWER_TRIANGULAR,PETSC_TRUE)"); 417 } 418 rp = aj + ai[row]; 419 ap = aa + bs2 * ai[row]; 420 rmax = imax[row]; 421 nrow = ailen[row]; 422 value = v; 423 low = 0; 424 high = nrow; 425 426 while (high - low > 7) { 427 t = (low + high) / 2; 428 if (rp[t] > col) high = t; 429 else low = t; 430 } 431 for (i = low; i < high; i++) { 432 if (rp[i] > col) break; 433 if (rp[i] == col) { 434 bap = ap + bs2 * i; 435 if (roworiented) { 436 if (is == ADD_VALUES) { 437 for (ii = 0; ii < bs; ii++) { 438 for (jj = ii; jj < bs2; jj += bs) bap[jj] += *value++; 439 } 440 } else { 441 for (ii = 0; ii < bs; ii++) { 442 for (jj = ii; jj < bs2; jj += bs) bap[jj] = *value++; 443 } 444 } 445 } else { 446 if (is == ADD_VALUES) { 447 for (ii = 0; ii < bs; ii++) { 448 for (jj = 0; jj < bs; jj++) *bap++ += *value++; 449 } 450 } else { 451 for (ii = 0; ii < bs; ii++) { 452 for (jj = 0; jj < bs; jj++) *bap++ = *value++; 453 } 454 } 455 } 456 goto noinsert2; 457 } 458 } 459 if (nonew == 1) goto noinsert2; 460 PetscCheck(nonew != -1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Inserting a new block index nonzero block (%" PetscInt_FMT ", %" PetscInt_FMT ") in the matrix", orow, ocol); 461 MatSeqXAIJReallocateAIJ(A, a->mbs, bs2, nrow, row, col, rmax, aa, ai, aj, rp, ap, imax, nonew, MatScalar); 462 N = nrow++ - 1; 463 high++; 464 /* shift up all the later entries in this row */ 465 PetscCall(PetscArraymove(rp + i + 1, rp + i, N - i + 1)); 466 PetscCall(PetscArraymove(ap + bs2 * (i + 1), ap + bs2 * i, bs2 * (N - i + 1))); 467 rp[i] = col; 468 bap = ap + bs2 * i; 469 if (roworiented) { 470 for (ii = 0; ii < bs; ii++) { 471 for (jj = ii; jj < bs2; jj += bs) bap[jj] = *value++; 472 } 473 } else { 474 for (ii = 0; ii < bs; ii++) { 475 for (jj = 0; jj < bs; jj++) *bap++ = *value++; 476 } 477 } 478 noinsert2:; 479 ailen[row] = nrow; 480 PetscFunctionReturn(PETSC_SUCCESS); 481 } 482 483 /* 484 This routine is exactly duplicated in mpibaij.c 485 */ 486 static inline PetscErrorCode MatSetValuesBlocked_SeqBAIJ_Inlined(Mat A, PetscInt row, PetscInt col, const PetscScalar v[], InsertMode is, PetscInt orow, PetscInt ocol) 487 { 488 Mat_SeqBAIJ *a = (Mat_SeqBAIJ *)A->data; 489 PetscInt *rp, low, high, t, ii, jj, nrow, i, rmax, N; 490 PetscInt *imax = a->imax, *ai = a->i, *ailen = a->ilen; 491 PetscInt *aj = a->j, nonew = a->nonew, bs2 = a->bs2, bs = A->rmap->bs; 492 PetscBool roworiented = a->roworiented; 493 const PetscScalar *value = v; 494 MatScalar *ap, *aa = a->a, *bap; 495 496 PetscFunctionBegin; 497 rp = aj + ai[row]; 498 ap = aa + bs2 * ai[row]; 499 rmax = imax[row]; 500 nrow = ailen[row]; 501 low = 0; 502 high = nrow; 503 value = v; 504 while (high - low > 7) { 505 t = (low + high) / 2; 506 if (rp[t] > col) high = t; 507 else low = t; 508 } 509 for (i = low; i < high; i++) { 510 if (rp[i] > col) break; 511 if (rp[i] == col) { 512 bap = ap + bs2 * i; 513 if (roworiented) { 514 if (is == ADD_VALUES) { 515 for (ii = 0; ii < bs; ii++) { 516 for (jj = ii; jj < bs2; jj += bs) bap[jj] += *value++; 517 } 518 } else { 519 for (ii = 0; ii < bs; ii++) { 520 for (jj = ii; jj < bs2; jj += bs) bap[jj] = *value++; 521 } 522 } 523 } else { 524 if (is == ADD_VALUES) { 525 for (ii = 0; ii < bs; ii++, value += bs) { 526 for (jj = 0; jj < bs; jj++) bap[jj] += value[jj]; 527 bap += bs; 528 } 529 } else { 530 for (ii = 0; ii < bs; ii++, value += bs) { 531 for (jj = 0; jj < bs; jj++) bap[jj] = value[jj]; 532 bap += bs; 533 } 534 } 535 } 536 goto noinsert2; 537 } 538 } 539 if (nonew == 1) goto noinsert2; 540 PetscCheck(nonew != -1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Inserting a new global block indexed nonzero block (%" PetscInt_FMT ", %" PetscInt_FMT ") in the matrix", orow, ocol); 541 MatSeqXAIJReallocateAIJ(A, a->mbs, bs2, nrow, row, col, rmax, aa, ai, aj, rp, ap, imax, nonew, MatScalar); 542 N = nrow++ - 1; 543 high++; 544 /* shift up all the later entries in this row */ 545 PetscCall(PetscArraymove(rp + i + 1, rp + i, N - i + 1)); 546 PetscCall(PetscArraymove(ap + bs2 * (i + 1), ap + bs2 * i, bs2 * (N - i + 1))); 547 rp[i] = col; 548 bap = ap + bs2 * i; 549 if (roworiented) { 550 for (ii = 0; ii < bs; ii++) { 551 for (jj = ii; jj < bs2; jj += bs) bap[jj] = *value++; 552 } 553 } else { 554 for (ii = 0; ii < bs; ii++) { 555 for (jj = 0; jj < bs; jj++) *bap++ = *value++; 556 } 557 } 558 noinsert2:; 559 ailen[row] = nrow; 560 PetscFunctionReturn(PETSC_SUCCESS); 561 } 562 563 /* 564 This routine could be optimized by removing the need for the block copy below and passing stride information 565 to the above inline routines; similarly in MatSetValuesBlocked_MPIBAIJ() 566 */ 567 static PetscErrorCode MatSetValuesBlocked_MPISBAIJ(Mat mat, PetscInt m, const PetscInt im[], PetscInt n, const PetscInt in[], const MatScalar v[], InsertMode addv) 568 { 569 Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data; 570 const MatScalar *value; 571 MatScalar *barray = baij->barray; 572 PetscBool roworiented = baij->roworiented, ignore_ltriangular = ((Mat_SeqSBAIJ *)baij->A->data)->ignore_ltriangular; 573 PetscInt i, j, ii, jj, row, col, rstart = baij->rstartbs; 574 PetscInt rend = baij->rendbs, cstart = baij->cstartbs, stepval; 575 PetscInt cend = baij->cendbs, bs = mat->rmap->bs, bs2 = baij->bs2; 576 577 PetscFunctionBegin; 578 if (!barray) { 579 PetscCall(PetscMalloc1(bs2, &barray)); 580 baij->barray = barray; 581 } 582 583 if (roworiented) { 584 stepval = (n - 1) * bs; 585 } else { 586 stepval = (m - 1) * bs; 587 } 588 for (i = 0; i < m; i++) { 589 if (im[i] < 0) continue; 590 PetscCheck(im[i] < baij->Mbs, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Block indexed row too large %" PetscInt_FMT " max %" PetscInt_FMT, im[i], baij->Mbs - 1); 591 if (im[i] >= rstart && im[i] < rend) { 592 row = im[i] - rstart; 593 for (j = 0; j < n; j++) { 594 if (im[i] > in[j]) { 595 if (ignore_ltriangular) continue; /* ignore lower triangular blocks */ 596 else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_USER, "Lower triangular value cannot be set for sbaij format. Ignoring these values, run with -mat_ignore_lower_triangular or call MatSetOption(mat,MAT_IGNORE_LOWER_TRIANGULAR,PETSC_TRUE)"); 597 } 598 /* If NumCol = 1 then a copy is not required */ 599 if ((roworiented) && (n == 1)) { 600 barray = (MatScalar *)v + i * bs2; 601 } else if ((!roworiented) && (m == 1)) { 602 barray = (MatScalar *)v + j * bs2; 603 } else { /* Here a copy is required */ 604 if (roworiented) { 605 value = v + i * (stepval + bs) * bs + j * bs; 606 } else { 607 value = v + j * (stepval + bs) * bs + i * bs; 608 } 609 for (ii = 0; ii < bs; ii++, value += stepval) { 610 for (jj = 0; jj < bs; jj++) *barray++ = *value++; 611 } 612 barray -= bs2; 613 } 614 615 if (in[j] >= cstart && in[j] < cend) { 616 col = in[j] - cstart; 617 PetscCall(MatSetValuesBlocked_SeqSBAIJ_Inlined(baij->A, row, col, barray, addv, im[i], in[j])); 618 } else if (in[j] < 0) { 619 continue; 620 } else { 621 PetscCheck(in[j] < baij->Nbs, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Block indexed column too large %" PetscInt_FMT " max %" PetscInt_FMT, in[j], baij->Nbs - 1); 622 if (mat->was_assembled) { 623 if (!baij->colmap) PetscCall(MatCreateColmap_MPIBAIJ_Private(mat)); 624 625 #if defined(PETSC_USE_DEBUG) 626 #if defined(PETSC_USE_CTABLE) 627 { 628 PetscInt data; 629 PetscCall(PetscHMapIGetWithDefault(baij->colmap, in[j] + 1, 0, &data)); 630 PetscCheck((data - 1) % bs == 0, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Incorrect colmap"); 631 } 632 #else 633 PetscCheck((baij->colmap[in[j]] - 1) % bs == 0, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Incorrect colmap"); 634 #endif 635 #endif 636 #if defined(PETSC_USE_CTABLE) 637 PetscCall(PetscHMapIGetWithDefault(baij->colmap, in[j] + 1, 0, &col)); 638 col = (col - 1) / bs; 639 #else 640 col = (baij->colmap[in[j]] - 1) / bs; 641 #endif 642 if (col < 0 && !((Mat_SeqBAIJ *)(baij->A->data))->nonew) { 643 PetscCall(MatDisAssemble_MPISBAIJ(mat)); 644 col = in[j]; 645 } 646 } else col = in[j]; 647 PetscCall(MatSetValuesBlocked_SeqBAIJ_Inlined(baij->B, row, col, barray, addv, im[i], in[j])); 648 } 649 } 650 } else { 651 PetscCheck(!mat->nooffprocentries, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Setting off process block indexed row %" PetscInt_FMT " even though MatSetOption(,MAT_NO_OFF_PROC_ENTRIES,PETSC_TRUE) was set", im[i]); 652 if (!baij->donotstash) { 653 if (roworiented) { 654 PetscCall(MatStashValuesRowBlocked_Private(&mat->bstash, im[i], n, in, v, m, n, i)); 655 } else { 656 PetscCall(MatStashValuesColBlocked_Private(&mat->bstash, im[i], n, in, v, m, n, i)); 657 } 658 } 659 } 660 } 661 PetscFunctionReturn(PETSC_SUCCESS); 662 } 663 664 static PetscErrorCode MatGetValues_MPISBAIJ(Mat mat, PetscInt m, const PetscInt idxm[], PetscInt n, const PetscInt idxn[], PetscScalar v[]) 665 { 666 Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data; 667 PetscInt bs = mat->rmap->bs, i, j, bsrstart = mat->rmap->rstart, bsrend = mat->rmap->rend; 668 PetscInt bscstart = mat->cmap->rstart, bscend = mat->cmap->rend, row, col, data; 669 670 PetscFunctionBegin; 671 for (i = 0; i < m; i++) { 672 if (idxm[i] < 0) continue; /* negative row */ 673 PetscCheck(idxm[i] < mat->rmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Row too large: row %" PetscInt_FMT " max %" PetscInt_FMT, idxm[i], mat->rmap->N - 1); 674 if (idxm[i] >= bsrstart && idxm[i] < bsrend) { 675 row = idxm[i] - bsrstart; 676 for (j = 0; j < n; j++) { 677 if (idxn[j] < 0) continue; /* negative column */ 678 PetscCheck(idxn[j] < mat->cmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Column too large: col %" PetscInt_FMT " max %" PetscInt_FMT, idxn[j], mat->cmap->N - 1); 679 if (idxn[j] >= bscstart && idxn[j] < bscend) { 680 col = idxn[j] - bscstart; 681 PetscCall(MatGetValues_SeqSBAIJ(baij->A, 1, &row, 1, &col, v + i * n + j)); 682 } else { 683 if (!baij->colmap) PetscCall(MatCreateColmap_MPIBAIJ_Private(mat)); 684 #if defined(PETSC_USE_CTABLE) 685 PetscCall(PetscHMapIGetWithDefault(baij->colmap, idxn[j] / bs + 1, 0, &data)); 686 data--; 687 #else 688 data = baij->colmap[idxn[j] / bs] - 1; 689 #endif 690 if ((data < 0) || (baij->garray[data / bs] != idxn[j] / bs)) *(v + i * n + j) = 0.0; 691 else { 692 col = data + idxn[j] % bs; 693 PetscCall(MatGetValues_SeqBAIJ(baij->B, 1, &row, 1, &col, v + i * n + j)); 694 } 695 } 696 } 697 } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "Only local values currently supported"); 698 } 699 PetscFunctionReturn(PETSC_SUCCESS); 700 } 701 702 static PetscErrorCode MatNorm_MPISBAIJ(Mat mat, NormType type, PetscReal *norm) 703 { 704 Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data; 705 PetscReal sum[2], *lnorm2; 706 707 PetscFunctionBegin; 708 if (baij->size == 1) { 709 PetscCall(MatNorm(baij->A, type, norm)); 710 } else { 711 if (type == NORM_FROBENIUS) { 712 PetscCall(PetscMalloc1(2, &lnorm2)); 713 PetscCall(MatNorm(baij->A, type, lnorm2)); 714 *lnorm2 = (*lnorm2) * (*lnorm2); 715 lnorm2++; /* squar power of norm(A) */ 716 PetscCall(MatNorm(baij->B, type, lnorm2)); 717 *lnorm2 = (*lnorm2) * (*lnorm2); 718 lnorm2--; /* squar power of norm(B) */ 719 PetscCall(MPIU_Allreduce(lnorm2, sum, 2, MPIU_REAL, MPIU_SUM, PetscObjectComm((PetscObject)mat))); 720 *norm = PetscSqrtReal(sum[0] + 2 * sum[1]); 721 PetscCall(PetscFree(lnorm2)); 722 } else if (type == NORM_INFINITY || type == NORM_1) { /* max row/column sum */ 723 Mat_SeqSBAIJ *amat = (Mat_SeqSBAIJ *)baij->A->data; 724 Mat_SeqBAIJ *bmat = (Mat_SeqBAIJ *)baij->B->data; 725 PetscReal *rsum, *rsum2, vabs; 726 PetscInt *jj, *garray = baij->garray, rstart = baij->rstartbs, nz; 727 PetscInt brow, bcol, col, bs = baij->A->rmap->bs, row, grow, gcol, mbs = amat->mbs; 728 MatScalar *v; 729 730 PetscCall(PetscMalloc2(mat->cmap->N, &rsum, mat->cmap->N, &rsum2)); 731 PetscCall(PetscArrayzero(rsum, mat->cmap->N)); 732 /* Amat */ 733 v = amat->a; 734 jj = amat->j; 735 for (brow = 0; brow < mbs; brow++) { 736 grow = bs * (rstart + brow); 737 nz = amat->i[brow + 1] - amat->i[brow]; 738 for (bcol = 0; bcol < nz; bcol++) { 739 gcol = bs * (rstart + *jj); 740 jj++; 741 for (col = 0; col < bs; col++) { 742 for (row = 0; row < bs; row++) { 743 vabs = PetscAbsScalar(*v); 744 v++; 745 rsum[gcol + col] += vabs; 746 /* non-diagonal block */ 747 if (bcol > 0 && vabs > 0.0) rsum[grow + row] += vabs; 748 } 749 } 750 } 751 PetscCall(PetscLogFlops(nz * bs * bs)); 752 } 753 /* Bmat */ 754 v = bmat->a; 755 jj = bmat->j; 756 for (brow = 0; brow < mbs; brow++) { 757 grow = bs * (rstart + brow); 758 nz = bmat->i[brow + 1] - bmat->i[brow]; 759 for (bcol = 0; bcol < nz; bcol++) { 760 gcol = bs * garray[*jj]; 761 jj++; 762 for (col = 0; col < bs; col++) { 763 for (row = 0; row < bs; row++) { 764 vabs = PetscAbsScalar(*v); 765 v++; 766 rsum[gcol + col] += vabs; 767 rsum[grow + row] += vabs; 768 } 769 } 770 } 771 PetscCall(PetscLogFlops(nz * bs * bs)); 772 } 773 PetscCall(MPIU_Allreduce(rsum, rsum2, mat->cmap->N, MPIU_REAL, MPIU_SUM, PetscObjectComm((PetscObject)mat))); 774 *norm = 0.0; 775 for (col = 0; col < mat->cmap->N; col++) { 776 if (rsum2[col] > *norm) *norm = rsum2[col]; 777 } 778 PetscCall(PetscFree2(rsum, rsum2)); 779 } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "No support for this norm yet"); 780 } 781 PetscFunctionReturn(PETSC_SUCCESS); 782 } 783 784 static PetscErrorCode MatAssemblyBegin_MPISBAIJ(Mat mat, MatAssemblyType mode) 785 { 786 Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data; 787 PetscInt nstash, reallocs; 788 789 PetscFunctionBegin; 790 if (baij->donotstash || mat->nooffprocentries) PetscFunctionReturn(PETSC_SUCCESS); 791 792 PetscCall(MatStashScatterBegin_Private(mat, &mat->stash, mat->rmap->range)); 793 PetscCall(MatStashScatterBegin_Private(mat, &mat->bstash, baij->rangebs)); 794 PetscCall(MatStashGetInfo_Private(&mat->stash, &nstash, &reallocs)); 795 PetscCall(PetscInfo(mat, "Stash has %" PetscInt_FMT " entries,uses %" PetscInt_FMT " mallocs.\n", nstash, reallocs)); 796 PetscCall(MatStashGetInfo_Private(&mat->stash, &nstash, &reallocs)); 797 PetscCall(PetscInfo(mat, "Block-Stash has %" PetscInt_FMT " entries, uses %" PetscInt_FMT " mallocs.\n", nstash, reallocs)); 798 PetscFunctionReturn(PETSC_SUCCESS); 799 } 800 801 static PetscErrorCode MatAssemblyEnd_MPISBAIJ(Mat mat, MatAssemblyType mode) 802 { 803 Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data; 804 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)baij->A->data; 805 PetscInt i, j, rstart, ncols, flg, bs2 = baij->bs2; 806 PetscInt *row, *col; 807 PetscBool other_disassembled; 808 PetscMPIInt n; 809 PetscBool r1, r2, r3; 810 MatScalar *val; 811 812 /* do not use 'b=(Mat_SeqBAIJ*)baij->B->data' as B can be reset in disassembly */ 813 PetscFunctionBegin; 814 if (!baij->donotstash && !mat->nooffprocentries) { 815 while (1) { 816 PetscCall(MatStashScatterGetMesg_Private(&mat->stash, &n, &row, &col, &val, &flg)); 817 if (!flg) break; 818 819 for (i = 0; i < n;) { 820 /* Now identify the consecutive vals belonging to the same row */ 821 for (j = i, rstart = row[j]; j < n; j++) { 822 if (row[j] != rstart) break; 823 } 824 if (j < n) ncols = j - i; 825 else ncols = n - i; 826 /* Now assemble all these values with a single function call */ 827 PetscCall(MatSetValues_MPISBAIJ(mat, 1, row + i, ncols, col + i, val + i, mat->insertmode)); 828 i = j; 829 } 830 } 831 PetscCall(MatStashScatterEnd_Private(&mat->stash)); 832 /* Now process the block-stash. Since the values are stashed column-oriented, 833 set the row-oriented flag to column-oriented, and after MatSetValues() 834 restore the original flags */ 835 r1 = baij->roworiented; 836 r2 = a->roworiented; 837 r3 = ((Mat_SeqBAIJ *)baij->B->data)->roworiented; 838 839 baij->roworiented = PETSC_FALSE; 840 a->roworiented = PETSC_FALSE; 841 842 ((Mat_SeqBAIJ *)baij->B->data)->roworiented = PETSC_FALSE; /* b->roworinted */ 843 while (1) { 844 PetscCall(MatStashScatterGetMesg_Private(&mat->bstash, &n, &row, &col, &val, &flg)); 845 if (!flg) break; 846 847 for (i = 0; i < n;) { 848 /* Now identify the consecutive vals belonging to the same row */ 849 for (j = i, rstart = row[j]; j < n; j++) { 850 if (row[j] != rstart) break; 851 } 852 if (j < n) ncols = j - i; 853 else ncols = n - i; 854 PetscCall(MatSetValuesBlocked_MPISBAIJ(mat, 1, row + i, ncols, col + i, val + i * bs2, mat->insertmode)); 855 i = j; 856 } 857 } 858 PetscCall(MatStashScatterEnd_Private(&mat->bstash)); 859 860 baij->roworiented = r1; 861 a->roworiented = r2; 862 863 ((Mat_SeqBAIJ *)baij->B->data)->roworiented = r3; /* b->roworinted */ 864 } 865 866 PetscCall(MatAssemblyBegin(baij->A, mode)); 867 PetscCall(MatAssemblyEnd(baij->A, mode)); 868 869 /* determine if any processor has disassembled, if so we must 870 also disassemble ourselves, in order that we may reassemble. */ 871 /* 872 if nonzero structure of submatrix B cannot change then we know that 873 no processor disassembled thus we can skip this stuff 874 */ 875 if (!((Mat_SeqBAIJ *)baij->B->data)->nonew) { 876 PetscCall(MPIU_Allreduce(&mat->was_assembled, &other_disassembled, 1, MPIU_BOOL, MPI_LAND, PetscObjectComm((PetscObject)mat))); 877 if (mat->was_assembled && !other_disassembled) PetscCall(MatDisAssemble_MPISBAIJ(mat)); 878 } 879 880 if (!mat->was_assembled && mode == MAT_FINAL_ASSEMBLY) { PetscCall(MatSetUpMultiply_MPISBAIJ(mat)); /* setup Mvctx and sMvctx */ } 881 PetscCall(MatAssemblyBegin(baij->B, mode)); 882 PetscCall(MatAssemblyEnd(baij->B, mode)); 883 884 PetscCall(PetscFree2(baij->rowvalues, baij->rowindices)); 885 886 baij->rowvalues = NULL; 887 888 /* if no new nonzero locations are allowed in matrix then only set the matrix state the first time through */ 889 if ((!mat->was_assembled && mode == MAT_FINAL_ASSEMBLY) || !((Mat_SeqBAIJ *)(baij->A->data))->nonew) { 890 PetscObjectState state = baij->A->nonzerostate + baij->B->nonzerostate; 891 PetscCall(MPIU_Allreduce(&state, &mat->nonzerostate, 1, MPIU_INT64, MPI_SUM, PetscObjectComm((PetscObject)mat))); 892 } 893 PetscFunctionReturn(PETSC_SUCCESS); 894 } 895 896 extern PetscErrorCode MatSetValues_MPIBAIJ(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode); 897 #include <petscdraw.h> 898 static PetscErrorCode MatView_MPISBAIJ_ASCIIorDraworSocket(Mat mat, PetscViewer viewer) 899 { 900 Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data; 901 PetscInt bs = mat->rmap->bs; 902 PetscMPIInt rank = baij->rank; 903 PetscBool iascii, isdraw; 904 PetscViewer sviewer; 905 PetscViewerFormat format; 906 907 PetscFunctionBegin; 908 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &iascii)); 909 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERDRAW, &isdraw)); 910 if (iascii) { 911 PetscCall(PetscViewerGetFormat(viewer, &format)); 912 if (format == PETSC_VIEWER_ASCII_INFO_DETAIL) { 913 MatInfo info; 914 PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)mat), &rank)); 915 PetscCall(MatGetInfo(mat, MAT_LOCAL, &info)); 916 PetscCall(PetscViewerASCIIPushSynchronized(viewer)); 917 PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "[%d] Local rows %" PetscInt_FMT " nz %" PetscInt_FMT " nz alloced %" PetscInt_FMT " bs %" PetscInt_FMT " mem %g\n", rank, mat->rmap->n, (PetscInt)info.nz_used, (PetscInt)info.nz_allocated, 918 mat->rmap->bs, (double)info.memory)); 919 PetscCall(MatGetInfo(baij->A, MAT_LOCAL, &info)); 920 PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "[%d] on-diagonal part: nz %" PetscInt_FMT " \n", rank, (PetscInt)info.nz_used)); 921 PetscCall(MatGetInfo(baij->B, MAT_LOCAL, &info)); 922 PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "[%d] off-diagonal part: nz %" PetscInt_FMT " \n", rank, (PetscInt)info.nz_used)); 923 PetscCall(PetscViewerFlush(viewer)); 924 PetscCall(PetscViewerASCIIPopSynchronized(viewer)); 925 PetscCall(PetscViewerASCIIPrintf(viewer, "Information on VecScatter used in matrix-vector product: \n")); 926 PetscCall(VecScatterView(baij->Mvctx, viewer)); 927 PetscFunctionReturn(PETSC_SUCCESS); 928 } else if (format == PETSC_VIEWER_ASCII_INFO) { 929 PetscCall(PetscViewerASCIIPrintf(viewer, " block size is %" PetscInt_FMT "\n", bs)); 930 PetscFunctionReturn(PETSC_SUCCESS); 931 } else if (format == PETSC_VIEWER_ASCII_FACTOR_INFO) { 932 PetscFunctionReturn(PETSC_SUCCESS); 933 } 934 } 935 936 if (isdraw) { 937 PetscDraw draw; 938 PetscBool isnull; 939 PetscCall(PetscViewerDrawGetDraw(viewer, 0, &draw)); 940 PetscCall(PetscDrawIsNull(draw, &isnull)); 941 if (isnull) PetscFunctionReturn(PETSC_SUCCESS); 942 } 943 944 { 945 /* assemble the entire matrix onto first processor. */ 946 Mat A; 947 Mat_SeqSBAIJ *Aloc; 948 Mat_SeqBAIJ *Bloc; 949 PetscInt M = mat->rmap->N, N = mat->cmap->N, *ai, *aj, col, i, j, k, *rvals, mbs = baij->mbs; 950 MatScalar *a; 951 const char *matname; 952 953 /* Should this be the same type as mat? */ 954 PetscCall(MatCreate(PetscObjectComm((PetscObject)mat), &A)); 955 if (rank == 0) { 956 PetscCall(MatSetSizes(A, M, N, M, N)); 957 } else { 958 PetscCall(MatSetSizes(A, 0, 0, M, N)); 959 } 960 PetscCall(MatSetType(A, MATMPISBAIJ)); 961 PetscCall(MatMPISBAIJSetPreallocation(A, mat->rmap->bs, 0, NULL, 0, NULL)); 962 PetscCall(MatSetOption(A, MAT_NEW_NONZERO_LOCATION_ERR, PETSC_FALSE)); 963 964 /* copy over the A part */ 965 Aloc = (Mat_SeqSBAIJ *)baij->A->data; 966 ai = Aloc->i; 967 aj = Aloc->j; 968 a = Aloc->a; 969 PetscCall(PetscMalloc1(bs, &rvals)); 970 971 for (i = 0; i < mbs; i++) { 972 rvals[0] = bs * (baij->rstartbs + i); 973 for (j = 1; j < bs; j++) rvals[j] = rvals[j - 1] + 1; 974 for (j = ai[i]; j < ai[i + 1]; j++) { 975 col = (baij->cstartbs + aj[j]) * bs; 976 for (k = 0; k < bs; k++) { 977 PetscCall(MatSetValues_MPISBAIJ(A, bs, rvals, 1, &col, a, INSERT_VALUES)); 978 col++; 979 a += bs; 980 } 981 } 982 } 983 /* copy over the B part */ 984 Bloc = (Mat_SeqBAIJ *)baij->B->data; 985 ai = Bloc->i; 986 aj = Bloc->j; 987 a = Bloc->a; 988 for (i = 0; i < mbs; i++) { 989 rvals[0] = bs * (baij->rstartbs + i); 990 for (j = 1; j < bs; j++) rvals[j] = rvals[j - 1] + 1; 991 for (j = ai[i]; j < ai[i + 1]; j++) { 992 col = baij->garray[aj[j]] * bs; 993 for (k = 0; k < bs; k++) { 994 PetscCall(MatSetValues_MPIBAIJ(A, bs, rvals, 1, &col, a, INSERT_VALUES)); 995 col++; 996 a += bs; 997 } 998 } 999 } 1000 PetscCall(PetscFree(rvals)); 1001 PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY)); 1002 PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY)); 1003 /* 1004 Everyone has to call to draw the matrix since the graphics waits are 1005 synchronized across all processors that share the PetscDraw object 1006 */ 1007 PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 1008 if (((PetscObject)mat)->name) PetscCall(PetscObjectGetName((PetscObject)mat, &matname)); 1009 if (rank == 0) { 1010 if (((PetscObject)mat)->name) PetscCall(PetscObjectSetName((PetscObject)((Mat_MPISBAIJ *)(A->data))->A, matname)); 1011 PetscCall(MatView_SeqSBAIJ(((Mat_MPISBAIJ *)(A->data))->A, sviewer)); 1012 } 1013 PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 1014 PetscCall(MatDestroy(&A)); 1015 } 1016 PetscFunctionReturn(PETSC_SUCCESS); 1017 } 1018 1019 /* Used for both MPIBAIJ and MPISBAIJ matrices */ 1020 #define MatView_MPISBAIJ_Binary MatView_MPIBAIJ_Binary 1021 1022 static PetscErrorCode MatView_MPISBAIJ(Mat mat, PetscViewer viewer) 1023 { 1024 PetscBool iascii, isdraw, issocket, isbinary; 1025 1026 PetscFunctionBegin; 1027 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &iascii)); 1028 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERDRAW, &isdraw)); 1029 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERSOCKET, &issocket)); 1030 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary)); 1031 if (iascii || isdraw || issocket) { 1032 PetscCall(MatView_MPISBAIJ_ASCIIorDraworSocket(mat, viewer)); 1033 } else if (isbinary) PetscCall(MatView_MPISBAIJ_Binary(mat, viewer)); 1034 PetscFunctionReturn(PETSC_SUCCESS); 1035 } 1036 1037 PetscErrorCode MatMult_MPISBAIJ_Hermitian(Mat A, Vec xx, Vec yy) 1038 { 1039 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data; 1040 PetscInt mbs = a->mbs, bs = A->rmap->bs; 1041 PetscScalar *from; 1042 const PetscScalar *x; 1043 1044 PetscFunctionBegin; 1045 /* diagonal part */ 1046 PetscCall((*a->A->ops->mult)(a->A, xx, a->slvec1a)); 1047 /* since a->slvec1b shares memory (dangerously) with a->slec1 changes to a->slec1 will affect it */ 1048 PetscCall(PetscObjectStateIncrease((PetscObject)a->slvec1b)); 1049 PetscCall(VecZeroEntries(a->slvec1b)); 1050 1051 /* subdiagonal part */ 1052 PetscCheck(a->B->ops->multhermitiantranspose, PetscObjectComm((PetscObject)a->B), PETSC_ERR_SUP, "Not for type %s", ((PetscObject)a->B)->type_name); 1053 PetscCall((*a->B->ops->multhermitiantranspose)(a->B, xx, a->slvec0b)); 1054 1055 /* copy x into the vec slvec0 */ 1056 PetscCall(VecGetArray(a->slvec0, &from)); 1057 PetscCall(VecGetArrayRead(xx, &x)); 1058 1059 PetscCall(PetscArraycpy(from, x, bs * mbs)); 1060 PetscCall(VecRestoreArray(a->slvec0, &from)); 1061 PetscCall(VecRestoreArrayRead(xx, &x)); 1062 1063 PetscCall(VecScatterBegin(a->sMvctx, a->slvec0, a->slvec1, ADD_VALUES, SCATTER_FORWARD)); 1064 PetscCall(VecScatterEnd(a->sMvctx, a->slvec0, a->slvec1, ADD_VALUES, SCATTER_FORWARD)); 1065 /* supperdiagonal part */ 1066 PetscCall((*a->B->ops->multadd)(a->B, a->slvec1b, a->slvec1a, yy)); 1067 PetscFunctionReturn(PETSC_SUCCESS); 1068 } 1069 1070 static PetscErrorCode MatMult_MPISBAIJ(Mat A, Vec xx, Vec yy) 1071 { 1072 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data; 1073 PetscInt mbs = a->mbs, bs = A->rmap->bs; 1074 PetscScalar *from; 1075 const PetscScalar *x; 1076 1077 PetscFunctionBegin; 1078 /* diagonal part */ 1079 PetscCall((*a->A->ops->mult)(a->A, xx, a->slvec1a)); 1080 /* since a->slvec1b shares memory (dangerously) with a->slec1 changes to a->slec1 will affect it */ 1081 PetscCall(PetscObjectStateIncrease((PetscObject)a->slvec1b)); 1082 PetscCall(VecZeroEntries(a->slvec1b)); 1083 1084 /* subdiagonal part */ 1085 PetscCall((*a->B->ops->multtranspose)(a->B, xx, a->slvec0b)); 1086 1087 /* copy x into the vec slvec0 */ 1088 PetscCall(VecGetArray(a->slvec0, &from)); 1089 PetscCall(VecGetArrayRead(xx, &x)); 1090 1091 PetscCall(PetscArraycpy(from, x, bs * mbs)); 1092 PetscCall(VecRestoreArray(a->slvec0, &from)); 1093 PetscCall(VecRestoreArrayRead(xx, &x)); 1094 1095 PetscCall(VecScatterBegin(a->sMvctx, a->slvec0, a->slvec1, ADD_VALUES, SCATTER_FORWARD)); 1096 PetscCall(VecScatterEnd(a->sMvctx, a->slvec0, a->slvec1, ADD_VALUES, SCATTER_FORWARD)); 1097 /* supperdiagonal part */ 1098 PetscCall((*a->B->ops->multadd)(a->B, a->slvec1b, a->slvec1a, yy)); 1099 PetscFunctionReturn(PETSC_SUCCESS); 1100 } 1101 1102 #if PetscDefined(USE_COMPLEX) 1103 static PetscErrorCode MatMultAdd_MPISBAIJ_Hermitian(Mat A, Vec xx, Vec yy, Vec zz) 1104 { 1105 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data; 1106 PetscInt mbs = a->mbs, bs = A->rmap->bs; 1107 PetscScalar *from; 1108 const PetscScalar *x; 1109 1110 PetscFunctionBegin; 1111 /* diagonal part */ 1112 PetscCall((*a->A->ops->multadd)(a->A, xx, yy, a->slvec1a)); 1113 PetscCall(PetscObjectStateIncrease((PetscObject)a->slvec1b)); 1114 PetscCall(VecZeroEntries(a->slvec1b)); 1115 1116 /* subdiagonal part */ 1117 PetscCheck(a->B->ops->multhermitiantranspose, PetscObjectComm((PetscObject)a->B), PETSC_ERR_SUP, "Not for type %s", ((PetscObject)a->B)->type_name); 1118 PetscCall((*a->B->ops->multhermitiantranspose)(a->B, xx, a->slvec0b)); 1119 1120 /* copy x into the vec slvec0 */ 1121 PetscCall(VecGetArray(a->slvec0, &from)); 1122 PetscCall(VecGetArrayRead(xx, &x)); 1123 PetscCall(PetscArraycpy(from, x, bs * mbs)); 1124 PetscCall(VecRestoreArray(a->slvec0, &from)); 1125 1126 PetscCall(VecScatterBegin(a->sMvctx, a->slvec0, a->slvec1, ADD_VALUES, SCATTER_FORWARD)); 1127 PetscCall(VecRestoreArrayRead(xx, &x)); 1128 PetscCall(VecScatterEnd(a->sMvctx, a->slvec0, a->slvec1, ADD_VALUES, SCATTER_FORWARD)); 1129 1130 /* supperdiagonal part */ 1131 PetscCall((*a->B->ops->multadd)(a->B, a->slvec1b, a->slvec1a, zz)); 1132 PetscFunctionReturn(PETSC_SUCCESS); 1133 } 1134 #endif 1135 1136 static PetscErrorCode MatMultAdd_MPISBAIJ(Mat A, Vec xx, Vec yy, Vec zz) 1137 { 1138 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data; 1139 PetscInt mbs = a->mbs, bs = A->rmap->bs; 1140 PetscScalar *from; 1141 const PetscScalar *x; 1142 1143 PetscFunctionBegin; 1144 /* diagonal part */ 1145 PetscCall((*a->A->ops->multadd)(a->A, xx, yy, a->slvec1a)); 1146 PetscCall(PetscObjectStateIncrease((PetscObject)a->slvec1b)); 1147 PetscCall(VecZeroEntries(a->slvec1b)); 1148 1149 /* subdiagonal part */ 1150 PetscCall((*a->B->ops->multtranspose)(a->B, xx, a->slvec0b)); 1151 1152 /* copy x into the vec slvec0 */ 1153 PetscCall(VecGetArray(a->slvec0, &from)); 1154 PetscCall(VecGetArrayRead(xx, &x)); 1155 PetscCall(PetscArraycpy(from, x, bs * mbs)); 1156 PetscCall(VecRestoreArray(a->slvec0, &from)); 1157 1158 PetscCall(VecScatterBegin(a->sMvctx, a->slvec0, a->slvec1, ADD_VALUES, SCATTER_FORWARD)); 1159 PetscCall(VecRestoreArrayRead(xx, &x)); 1160 PetscCall(VecScatterEnd(a->sMvctx, a->slvec0, a->slvec1, ADD_VALUES, SCATTER_FORWARD)); 1161 1162 /* supperdiagonal part */ 1163 PetscCall((*a->B->ops->multadd)(a->B, a->slvec1b, a->slvec1a, zz)); 1164 PetscFunctionReturn(PETSC_SUCCESS); 1165 } 1166 1167 /* 1168 This only works correctly for square matrices where the subblock A->A is the 1169 diagonal block 1170 */ 1171 static PetscErrorCode MatGetDiagonal_MPISBAIJ(Mat A, Vec v) 1172 { 1173 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data; 1174 1175 PetscFunctionBegin; 1176 /* PetscCheck(a->rmap->N == a->cmap->N,PETSC_COMM_SELF,PETSC_ERR_SUP,"Supports only square matrix where A->A is diag block"); */ 1177 PetscCall(MatGetDiagonal(a->A, v)); 1178 PetscFunctionReturn(PETSC_SUCCESS); 1179 } 1180 1181 static PetscErrorCode MatScale_MPISBAIJ(Mat A, PetscScalar aa) 1182 { 1183 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data; 1184 1185 PetscFunctionBegin; 1186 PetscCall(MatScale(a->A, aa)); 1187 PetscCall(MatScale(a->B, aa)); 1188 PetscFunctionReturn(PETSC_SUCCESS); 1189 } 1190 1191 static PetscErrorCode MatGetRow_MPISBAIJ(Mat matin, PetscInt row, PetscInt *nz, PetscInt **idx, PetscScalar **v) 1192 { 1193 Mat_MPISBAIJ *mat = (Mat_MPISBAIJ *)matin->data; 1194 PetscScalar *vworkA, *vworkB, **pvA, **pvB, *v_p; 1195 PetscInt bs = matin->rmap->bs, bs2 = mat->bs2, i, *cworkA, *cworkB, **pcA, **pcB; 1196 PetscInt nztot, nzA, nzB, lrow, brstart = matin->rmap->rstart, brend = matin->rmap->rend; 1197 PetscInt *cmap, *idx_p, cstart = mat->rstartbs; 1198 1199 PetscFunctionBegin; 1200 PetscCheck(!mat->getrowactive, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Already active"); 1201 mat->getrowactive = PETSC_TRUE; 1202 1203 if (!mat->rowvalues && (idx || v)) { 1204 /* 1205 allocate enough space to hold information from the longest row. 1206 */ 1207 Mat_SeqSBAIJ *Aa = (Mat_SeqSBAIJ *)mat->A->data; 1208 Mat_SeqBAIJ *Ba = (Mat_SeqBAIJ *)mat->B->data; 1209 PetscInt max = 1, mbs = mat->mbs, tmp; 1210 for (i = 0; i < mbs; i++) { 1211 tmp = Aa->i[i + 1] - Aa->i[i] + Ba->i[i + 1] - Ba->i[i]; /* row length */ 1212 if (max < tmp) max = tmp; 1213 } 1214 PetscCall(PetscMalloc2(max * bs2, &mat->rowvalues, max * bs2, &mat->rowindices)); 1215 } 1216 1217 PetscCheck(row >= brstart && row < brend, PETSC_COMM_SELF, PETSC_ERR_SUP, "Only local rows"); 1218 lrow = row - brstart; /* local row index */ 1219 1220 pvA = &vworkA; 1221 pcA = &cworkA; 1222 pvB = &vworkB; 1223 pcB = &cworkB; 1224 if (!v) { 1225 pvA = NULL; 1226 pvB = NULL; 1227 } 1228 if (!idx) { 1229 pcA = NULL; 1230 if (!v) pcB = NULL; 1231 } 1232 PetscCall((*mat->A->ops->getrow)(mat->A, lrow, &nzA, pcA, pvA)); 1233 PetscCall((*mat->B->ops->getrow)(mat->B, lrow, &nzB, pcB, pvB)); 1234 nztot = nzA + nzB; 1235 1236 cmap = mat->garray; 1237 if (v || idx) { 1238 if (nztot) { 1239 /* Sort by increasing column numbers, assuming A and B already sorted */ 1240 PetscInt imark = -1; 1241 if (v) { 1242 *v = v_p = mat->rowvalues; 1243 for (i = 0; i < nzB; i++) { 1244 if (cmap[cworkB[i] / bs] < cstart) v_p[i] = vworkB[i]; 1245 else break; 1246 } 1247 imark = i; 1248 for (i = 0; i < nzA; i++) v_p[imark + i] = vworkA[i]; 1249 for (i = imark; i < nzB; i++) v_p[nzA + i] = vworkB[i]; 1250 } 1251 if (idx) { 1252 *idx = idx_p = mat->rowindices; 1253 if (imark > -1) { 1254 for (i = 0; i < imark; i++) idx_p[i] = cmap[cworkB[i] / bs] * bs + cworkB[i] % bs; 1255 } else { 1256 for (i = 0; i < nzB; i++) { 1257 if (cmap[cworkB[i] / bs] < cstart) idx_p[i] = cmap[cworkB[i] / bs] * bs + cworkB[i] % bs; 1258 else break; 1259 } 1260 imark = i; 1261 } 1262 for (i = 0; i < nzA; i++) idx_p[imark + i] = cstart * bs + cworkA[i]; 1263 for (i = imark; i < nzB; i++) idx_p[nzA + i] = cmap[cworkB[i] / bs] * bs + cworkB[i] % bs; 1264 } 1265 } else { 1266 if (idx) *idx = NULL; 1267 if (v) *v = NULL; 1268 } 1269 } 1270 *nz = nztot; 1271 PetscCall((*mat->A->ops->restorerow)(mat->A, lrow, &nzA, pcA, pvA)); 1272 PetscCall((*mat->B->ops->restorerow)(mat->B, lrow, &nzB, pcB, pvB)); 1273 PetscFunctionReturn(PETSC_SUCCESS); 1274 } 1275 1276 static PetscErrorCode MatRestoreRow_MPISBAIJ(Mat mat, PetscInt row, PetscInt *nz, PetscInt **idx, PetscScalar **v) 1277 { 1278 Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data; 1279 1280 PetscFunctionBegin; 1281 PetscCheck(baij->getrowactive, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "MatGetRow() must be called first"); 1282 baij->getrowactive = PETSC_FALSE; 1283 PetscFunctionReturn(PETSC_SUCCESS); 1284 } 1285 1286 static PetscErrorCode MatGetRowUpperTriangular_MPISBAIJ(Mat A) 1287 { 1288 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data; 1289 Mat_SeqSBAIJ *aA = (Mat_SeqSBAIJ *)a->A->data; 1290 1291 PetscFunctionBegin; 1292 aA->getrow_utriangular = PETSC_TRUE; 1293 PetscFunctionReturn(PETSC_SUCCESS); 1294 } 1295 static PetscErrorCode MatRestoreRowUpperTriangular_MPISBAIJ(Mat A) 1296 { 1297 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data; 1298 Mat_SeqSBAIJ *aA = (Mat_SeqSBAIJ *)a->A->data; 1299 1300 PetscFunctionBegin; 1301 aA->getrow_utriangular = PETSC_FALSE; 1302 PetscFunctionReturn(PETSC_SUCCESS); 1303 } 1304 1305 static PetscErrorCode MatConjugate_MPISBAIJ(Mat mat) 1306 { 1307 PetscFunctionBegin; 1308 if (PetscDefined(USE_COMPLEX)) { 1309 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)mat->data; 1310 1311 PetscCall(MatConjugate(a->A)); 1312 PetscCall(MatConjugate(a->B)); 1313 } 1314 PetscFunctionReturn(PETSC_SUCCESS); 1315 } 1316 1317 static PetscErrorCode MatRealPart_MPISBAIJ(Mat A) 1318 { 1319 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data; 1320 1321 PetscFunctionBegin; 1322 PetscCall(MatRealPart(a->A)); 1323 PetscCall(MatRealPart(a->B)); 1324 PetscFunctionReturn(PETSC_SUCCESS); 1325 } 1326 1327 static PetscErrorCode MatImaginaryPart_MPISBAIJ(Mat A) 1328 { 1329 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data; 1330 1331 PetscFunctionBegin; 1332 PetscCall(MatImaginaryPart(a->A)); 1333 PetscCall(MatImaginaryPart(a->B)); 1334 PetscFunctionReturn(PETSC_SUCCESS); 1335 } 1336 1337 /* Check if isrow is a subset of iscol_local, called by MatCreateSubMatrix_MPISBAIJ() 1338 Input: isrow - distributed(parallel), 1339 iscol_local - locally owned (seq) 1340 */ 1341 static PetscErrorCode ISEqual_private(IS isrow, IS iscol_local, PetscBool *flg) 1342 { 1343 PetscInt sz1, sz2, *a1, *a2, i, j, k, nmatch; 1344 const PetscInt *ptr1, *ptr2; 1345 1346 PetscFunctionBegin; 1347 *flg = PETSC_FALSE; 1348 PetscCall(ISGetLocalSize(isrow, &sz1)); 1349 PetscCall(ISGetLocalSize(iscol_local, &sz2)); 1350 if (sz1 > sz2) PetscFunctionReturn(PETSC_SUCCESS); 1351 1352 PetscCall(ISGetIndices(isrow, &ptr1)); 1353 PetscCall(ISGetIndices(iscol_local, &ptr2)); 1354 1355 PetscCall(PetscMalloc1(sz1, &a1)); 1356 PetscCall(PetscMalloc1(sz2, &a2)); 1357 PetscCall(PetscArraycpy(a1, ptr1, sz1)); 1358 PetscCall(PetscArraycpy(a2, ptr2, sz2)); 1359 PetscCall(PetscSortInt(sz1, a1)); 1360 PetscCall(PetscSortInt(sz2, a2)); 1361 1362 nmatch = 0; 1363 k = 0; 1364 for (i = 0; i < sz1; i++) { 1365 for (j = k; j < sz2; j++) { 1366 if (a1[i] == a2[j]) { 1367 k = j; 1368 nmatch++; 1369 break; 1370 } 1371 } 1372 } 1373 PetscCall(ISRestoreIndices(isrow, &ptr1)); 1374 PetscCall(ISRestoreIndices(iscol_local, &ptr2)); 1375 PetscCall(PetscFree(a1)); 1376 PetscCall(PetscFree(a2)); 1377 if (nmatch < sz1) { 1378 *flg = PETSC_FALSE; 1379 } else { 1380 *flg = PETSC_TRUE; 1381 } 1382 PetscFunctionReturn(PETSC_SUCCESS); 1383 } 1384 1385 static PetscErrorCode MatCreateSubMatrix_MPISBAIJ(Mat mat, IS isrow, IS iscol, MatReuse call, Mat *newmat) 1386 { 1387 Mat C[2]; 1388 IS iscol_local, isrow_local; 1389 PetscInt csize, csize_local, rsize; 1390 PetscBool isequal, issorted, isidentity = PETSC_FALSE; 1391 1392 PetscFunctionBegin; 1393 PetscCall(ISGetLocalSize(iscol, &csize)); 1394 PetscCall(ISGetLocalSize(isrow, &rsize)); 1395 if (call == MAT_REUSE_MATRIX) { 1396 PetscCall(PetscObjectQuery((PetscObject)*newmat, "ISAllGather", (PetscObject *)&iscol_local)); 1397 PetscCheck(iscol_local, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Submatrix passed in was not used before, cannot reuse"); 1398 } else { 1399 PetscCall(ISAllGather(iscol, &iscol_local)); 1400 PetscCall(ISSorted(iscol_local, &issorted)); 1401 PetscCheck(issorted, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "For symmetric format, iscol must be sorted"); 1402 } 1403 PetscCall(ISEqual_private(isrow, iscol_local, &isequal)); 1404 if (!isequal) { 1405 PetscCall(ISGetLocalSize(iscol_local, &csize_local)); 1406 isidentity = (PetscBool)(mat->cmap->N == csize_local); 1407 if (!isidentity) { 1408 if (call == MAT_REUSE_MATRIX) { 1409 PetscCall(PetscObjectQuery((PetscObject)*newmat, "ISAllGather_other", (PetscObject *)&isrow_local)); 1410 PetscCheck(isrow_local, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Submatrix passed in was not used before, cannot reuse"); 1411 } else { 1412 PetscCall(ISAllGather(isrow, &isrow_local)); 1413 PetscCall(ISSorted(isrow_local, &issorted)); 1414 PetscCheck(issorted, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "For symmetric format, isrow must be sorted"); 1415 } 1416 } 1417 } 1418 /* now call MatCreateSubMatrix_MPIBAIJ() */ 1419 PetscCall(MatCreateSubMatrix_MPIBAIJ_Private(mat, isrow, iscol_local, csize, isequal || isidentity ? call : MAT_INITIAL_MATRIX, isequal || isidentity ? newmat : C, (PetscBool)(isequal || isidentity))); 1420 if (!isequal && !isidentity) { 1421 if (call == MAT_INITIAL_MATRIX) { 1422 IS intersect; 1423 PetscInt ni; 1424 1425 PetscCall(ISIntersect(isrow_local, iscol_local, &intersect)); 1426 PetscCall(ISGetLocalSize(intersect, &ni)); 1427 PetscCall(ISDestroy(&intersect)); 1428 PetscCheck(ni == 0, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Cannot create such a submatrix: for symmetric format, when requesting an off-diagonal submatrix, isrow and iscol should have an empty intersection (number of common indices is %" PetscInt_FMT ")", ni); 1429 } 1430 PetscCall(MatCreateSubMatrix_MPIBAIJ_Private(mat, iscol, isrow_local, rsize, MAT_INITIAL_MATRIX, C + 1, PETSC_FALSE)); 1431 PetscCall(MatTranspose(C[1], MAT_INPLACE_MATRIX, C + 1)); 1432 PetscCall(MatAXPY(C[0], 1.0, C[1], DIFFERENT_NONZERO_PATTERN)); 1433 if (call == MAT_REUSE_MATRIX) PetscCall(MatCopy(C[0], *newmat, SAME_NONZERO_PATTERN)); 1434 else if (mat->rmap->bs == 1) PetscCall(MatConvert(C[0], MATAIJ, MAT_INITIAL_MATRIX, newmat)); 1435 else PetscCall(MatCopy(C[0], *newmat, SAME_NONZERO_PATTERN)); 1436 PetscCall(MatDestroy(C)); 1437 PetscCall(MatDestroy(C + 1)); 1438 } 1439 if (call == MAT_INITIAL_MATRIX) { 1440 if (!isequal && !isidentity) { 1441 PetscCall(PetscObjectCompose((PetscObject)*newmat, "ISAllGather_other", (PetscObject)isrow_local)); 1442 PetscCall(ISDestroy(&isrow_local)); 1443 } 1444 PetscCall(PetscObjectCompose((PetscObject)*newmat, "ISAllGather", (PetscObject)iscol_local)); 1445 PetscCall(ISDestroy(&iscol_local)); 1446 } 1447 PetscFunctionReturn(PETSC_SUCCESS); 1448 } 1449 1450 static PetscErrorCode MatZeroEntries_MPISBAIJ(Mat A) 1451 { 1452 Mat_MPISBAIJ *l = (Mat_MPISBAIJ *)A->data; 1453 1454 PetscFunctionBegin; 1455 PetscCall(MatZeroEntries(l->A)); 1456 PetscCall(MatZeroEntries(l->B)); 1457 PetscFunctionReturn(PETSC_SUCCESS); 1458 } 1459 1460 static PetscErrorCode MatGetInfo_MPISBAIJ(Mat matin, MatInfoType flag, MatInfo *info) 1461 { 1462 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)matin->data; 1463 Mat A = a->A, B = a->B; 1464 PetscLogDouble isend[5], irecv[5]; 1465 1466 PetscFunctionBegin; 1467 info->block_size = (PetscReal)matin->rmap->bs; 1468 1469 PetscCall(MatGetInfo(A, MAT_LOCAL, info)); 1470 1471 isend[0] = info->nz_used; 1472 isend[1] = info->nz_allocated; 1473 isend[2] = info->nz_unneeded; 1474 isend[3] = info->memory; 1475 isend[4] = info->mallocs; 1476 1477 PetscCall(MatGetInfo(B, MAT_LOCAL, info)); 1478 1479 isend[0] += info->nz_used; 1480 isend[1] += info->nz_allocated; 1481 isend[2] += info->nz_unneeded; 1482 isend[3] += info->memory; 1483 isend[4] += info->mallocs; 1484 if (flag == MAT_LOCAL) { 1485 info->nz_used = isend[0]; 1486 info->nz_allocated = isend[1]; 1487 info->nz_unneeded = isend[2]; 1488 info->memory = isend[3]; 1489 info->mallocs = isend[4]; 1490 } else if (flag == MAT_GLOBAL_MAX) { 1491 PetscCall(MPIU_Allreduce(isend, irecv, 5, MPIU_PETSCLOGDOUBLE, MPI_MAX, PetscObjectComm((PetscObject)matin))); 1492 1493 info->nz_used = irecv[0]; 1494 info->nz_allocated = irecv[1]; 1495 info->nz_unneeded = irecv[2]; 1496 info->memory = irecv[3]; 1497 info->mallocs = irecv[4]; 1498 } else if (flag == MAT_GLOBAL_SUM) { 1499 PetscCall(MPIU_Allreduce(isend, irecv, 5, MPIU_PETSCLOGDOUBLE, MPI_SUM, PetscObjectComm((PetscObject)matin))); 1500 1501 info->nz_used = irecv[0]; 1502 info->nz_allocated = irecv[1]; 1503 info->nz_unneeded = irecv[2]; 1504 info->memory = irecv[3]; 1505 info->mallocs = irecv[4]; 1506 } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Unknown MatInfoType argument %d", (int)flag); 1507 info->fill_ratio_given = 0; /* no parallel LU/ILU/Cholesky */ 1508 info->fill_ratio_needed = 0; 1509 info->factor_mallocs = 0; 1510 PetscFunctionReturn(PETSC_SUCCESS); 1511 } 1512 1513 static PetscErrorCode MatSetOption_MPISBAIJ(Mat A, MatOption op, PetscBool flg) 1514 { 1515 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data; 1516 Mat_SeqSBAIJ *aA = (Mat_SeqSBAIJ *)a->A->data; 1517 1518 PetscFunctionBegin; 1519 switch (op) { 1520 case MAT_NEW_NONZERO_LOCATIONS: 1521 case MAT_NEW_NONZERO_ALLOCATION_ERR: 1522 case MAT_UNUSED_NONZERO_LOCATION_ERR: 1523 case MAT_KEEP_NONZERO_PATTERN: 1524 case MAT_SUBMAT_SINGLEIS: 1525 case MAT_NEW_NONZERO_LOCATION_ERR: 1526 MatCheckPreallocated(A, 1); 1527 PetscCall(MatSetOption(a->A, op, flg)); 1528 PetscCall(MatSetOption(a->B, op, flg)); 1529 break; 1530 case MAT_ROW_ORIENTED: 1531 MatCheckPreallocated(A, 1); 1532 a->roworiented = flg; 1533 1534 PetscCall(MatSetOption(a->A, op, flg)); 1535 PetscCall(MatSetOption(a->B, op, flg)); 1536 break; 1537 case MAT_FORCE_DIAGONAL_ENTRIES: 1538 case MAT_SORTED_FULL: 1539 PetscCall(PetscInfo(A, "Option %s ignored\n", MatOptions[op])); 1540 break; 1541 case MAT_IGNORE_OFF_PROC_ENTRIES: 1542 a->donotstash = flg; 1543 break; 1544 case MAT_USE_HASH_TABLE: 1545 a->ht_flag = flg; 1546 break; 1547 case MAT_HERMITIAN: 1548 MatCheckPreallocated(A, 1); 1549 PetscCall(MatSetOption(a->A, op, flg)); 1550 #if defined(PETSC_USE_COMPLEX) 1551 if (flg) { /* need different mat-vec ops */ 1552 A->ops->mult = MatMult_MPISBAIJ_Hermitian; 1553 A->ops->multadd = MatMultAdd_MPISBAIJ_Hermitian; 1554 A->ops->multtranspose = NULL; 1555 A->ops->multtransposeadd = NULL; 1556 A->symmetric = PETSC_BOOL3_FALSE; 1557 } 1558 #endif 1559 break; 1560 case MAT_SPD: 1561 case MAT_SYMMETRIC: 1562 MatCheckPreallocated(A, 1); 1563 PetscCall(MatSetOption(a->A, op, flg)); 1564 #if defined(PETSC_USE_COMPLEX) 1565 if (flg) { /* restore to use default mat-vec ops */ 1566 A->ops->mult = MatMult_MPISBAIJ; 1567 A->ops->multadd = MatMultAdd_MPISBAIJ; 1568 A->ops->multtranspose = MatMult_MPISBAIJ; 1569 A->ops->multtransposeadd = MatMultAdd_MPISBAIJ; 1570 } 1571 #endif 1572 break; 1573 case MAT_STRUCTURALLY_SYMMETRIC: 1574 MatCheckPreallocated(A, 1); 1575 PetscCall(MatSetOption(a->A, op, flg)); 1576 break; 1577 case MAT_SYMMETRY_ETERNAL: 1578 case MAT_STRUCTURAL_SYMMETRY_ETERNAL: 1579 PetscCheck(flg, PETSC_COMM_SELF, PETSC_ERR_SUP, "Matrix must be symmetric"); 1580 PetscCall(PetscInfo(A, "Option %s ignored\n", MatOptions[op])); 1581 break; 1582 case MAT_SPD_ETERNAL: 1583 break; 1584 case MAT_IGNORE_LOWER_TRIANGULAR: 1585 aA->ignore_ltriangular = flg; 1586 break; 1587 case MAT_ERROR_LOWER_TRIANGULAR: 1588 aA->ignore_ltriangular = flg; 1589 break; 1590 case MAT_GETROW_UPPERTRIANGULAR: 1591 aA->getrow_utriangular = flg; 1592 break; 1593 default: 1594 SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "unknown option %d", op); 1595 } 1596 PetscFunctionReturn(PETSC_SUCCESS); 1597 } 1598 1599 static PetscErrorCode MatTranspose_MPISBAIJ(Mat A, MatReuse reuse, Mat *B) 1600 { 1601 PetscFunctionBegin; 1602 if (reuse == MAT_REUSE_MATRIX) PetscCall(MatTransposeCheckNonzeroState_Private(A, *B)); 1603 if (reuse == MAT_INITIAL_MATRIX) { 1604 PetscCall(MatDuplicate(A, MAT_COPY_VALUES, B)); 1605 } else if (reuse == MAT_REUSE_MATRIX) { 1606 PetscCall(MatCopy(A, *B, SAME_NONZERO_PATTERN)); 1607 } 1608 PetscFunctionReturn(PETSC_SUCCESS); 1609 } 1610 1611 static PetscErrorCode MatDiagonalScale_MPISBAIJ(Mat mat, Vec ll, Vec rr) 1612 { 1613 Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data; 1614 Mat a = baij->A, b = baij->B; 1615 PetscInt nv, m, n; 1616 PetscBool flg; 1617 1618 PetscFunctionBegin; 1619 if (ll != rr) { 1620 PetscCall(VecEqual(ll, rr, &flg)); 1621 PetscCheck(flg, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "For symmetric format, left and right scaling vectors must be same"); 1622 } 1623 if (!ll) PetscFunctionReturn(PETSC_SUCCESS); 1624 1625 PetscCall(MatGetLocalSize(mat, &m, &n)); 1626 PetscCheck(m == n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "For symmetric format, local size %" PetscInt_FMT " %" PetscInt_FMT " must be same", m, n); 1627 1628 PetscCall(VecGetLocalSize(rr, &nv)); 1629 PetscCheck(nv == n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Left and right vector non-conforming local size"); 1630 1631 PetscCall(VecScatterBegin(baij->Mvctx, rr, baij->lvec, INSERT_VALUES, SCATTER_FORWARD)); 1632 1633 /* left diagonalscale the off-diagonal part */ 1634 PetscUseTypeMethod(b, diagonalscale, ll, NULL); 1635 1636 /* scale the diagonal part */ 1637 PetscUseTypeMethod(a, diagonalscale, ll, rr); 1638 1639 /* right diagonalscale the off-diagonal part */ 1640 PetscCall(VecScatterEnd(baij->Mvctx, rr, baij->lvec, INSERT_VALUES, SCATTER_FORWARD)); 1641 PetscUseTypeMethod(b, diagonalscale, NULL, baij->lvec); 1642 PetscFunctionReturn(PETSC_SUCCESS); 1643 } 1644 1645 static PetscErrorCode MatSetUnfactored_MPISBAIJ(Mat A) 1646 { 1647 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data; 1648 1649 PetscFunctionBegin; 1650 PetscCall(MatSetUnfactored(a->A)); 1651 PetscFunctionReturn(PETSC_SUCCESS); 1652 } 1653 1654 static PetscErrorCode MatDuplicate_MPISBAIJ(Mat, MatDuplicateOption, Mat *); 1655 1656 static PetscErrorCode MatEqual_MPISBAIJ(Mat A, Mat B, PetscBool *flag) 1657 { 1658 Mat_MPISBAIJ *matB = (Mat_MPISBAIJ *)B->data, *matA = (Mat_MPISBAIJ *)A->data; 1659 Mat a, b, c, d; 1660 PetscBool flg; 1661 1662 PetscFunctionBegin; 1663 a = matA->A; 1664 b = matA->B; 1665 c = matB->A; 1666 d = matB->B; 1667 1668 PetscCall(MatEqual(a, c, &flg)); 1669 if (flg) PetscCall(MatEqual(b, d, &flg)); 1670 PetscCall(MPIU_Allreduce(&flg, flag, 1, MPIU_BOOL, MPI_LAND, PetscObjectComm((PetscObject)A))); 1671 PetscFunctionReturn(PETSC_SUCCESS); 1672 } 1673 1674 static PetscErrorCode MatCopy_MPISBAIJ(Mat A, Mat B, MatStructure str) 1675 { 1676 PetscBool isbaij; 1677 1678 PetscFunctionBegin; 1679 PetscCall(PetscObjectTypeCompareAny((PetscObject)B, &isbaij, MATSEQSBAIJ, MATMPISBAIJ, "")); 1680 PetscCheck(isbaij, PetscObjectComm((PetscObject)B), PETSC_ERR_SUP, "Not for matrix type %s", ((PetscObject)B)->type_name); 1681 /* If the two matrices don't have the same copy implementation, they aren't compatible for fast copy. */ 1682 if ((str != SAME_NONZERO_PATTERN) || (A->ops->copy != B->ops->copy)) { 1683 PetscCall(MatGetRowUpperTriangular(A)); 1684 PetscCall(MatCopy_Basic(A, B, str)); 1685 PetscCall(MatRestoreRowUpperTriangular(A)); 1686 } else { 1687 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data; 1688 Mat_MPISBAIJ *b = (Mat_MPISBAIJ *)B->data; 1689 1690 PetscCall(MatCopy(a->A, b->A, str)); 1691 PetscCall(MatCopy(a->B, b->B, str)); 1692 } 1693 PetscCall(PetscObjectStateIncrease((PetscObject)B)); 1694 PetscFunctionReturn(PETSC_SUCCESS); 1695 } 1696 1697 static PetscErrorCode MatAXPY_MPISBAIJ(Mat Y, PetscScalar a, Mat X, MatStructure str) 1698 { 1699 Mat_MPISBAIJ *xx = (Mat_MPISBAIJ *)X->data, *yy = (Mat_MPISBAIJ *)Y->data; 1700 PetscBLASInt bnz, one = 1; 1701 Mat_SeqSBAIJ *xa, *ya; 1702 Mat_SeqBAIJ *xb, *yb; 1703 1704 PetscFunctionBegin; 1705 if (str == SAME_NONZERO_PATTERN) { 1706 PetscScalar alpha = a; 1707 xa = (Mat_SeqSBAIJ *)xx->A->data; 1708 ya = (Mat_SeqSBAIJ *)yy->A->data; 1709 PetscCall(PetscBLASIntCast(xa->nz, &bnz)); 1710 PetscCallBLAS("BLASaxpy", BLASaxpy_(&bnz, &alpha, xa->a, &one, ya->a, &one)); 1711 xb = (Mat_SeqBAIJ *)xx->B->data; 1712 yb = (Mat_SeqBAIJ *)yy->B->data; 1713 PetscCall(PetscBLASIntCast(xb->nz, &bnz)); 1714 PetscCallBLAS("BLASaxpy", BLASaxpy_(&bnz, &alpha, xb->a, &one, yb->a, &one)); 1715 PetscCall(PetscObjectStateIncrease((PetscObject)Y)); 1716 } else if (str == SUBSET_NONZERO_PATTERN) { /* nonzeros of X is a subset of Y's */ 1717 PetscCall(MatSetOption(X, MAT_GETROW_UPPERTRIANGULAR, PETSC_TRUE)); 1718 PetscCall(MatAXPY_Basic(Y, a, X, str)); 1719 PetscCall(MatSetOption(X, MAT_GETROW_UPPERTRIANGULAR, PETSC_FALSE)); 1720 } else { 1721 Mat B; 1722 PetscInt *nnz_d, *nnz_o, bs = Y->rmap->bs; 1723 PetscCheck(bs == X->rmap->bs, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Matrices must have same block size"); 1724 PetscCall(MatGetRowUpperTriangular(X)); 1725 PetscCall(MatGetRowUpperTriangular(Y)); 1726 PetscCall(PetscMalloc1(yy->A->rmap->N, &nnz_d)); 1727 PetscCall(PetscMalloc1(yy->B->rmap->N, &nnz_o)); 1728 PetscCall(MatCreate(PetscObjectComm((PetscObject)Y), &B)); 1729 PetscCall(PetscObjectSetName((PetscObject)B, ((PetscObject)Y)->name)); 1730 PetscCall(MatSetSizes(B, Y->rmap->n, Y->cmap->n, Y->rmap->N, Y->cmap->N)); 1731 PetscCall(MatSetBlockSizesFromMats(B, Y, Y)); 1732 PetscCall(MatSetType(B, MATMPISBAIJ)); 1733 PetscCall(MatAXPYGetPreallocation_SeqSBAIJ(yy->A, xx->A, nnz_d)); 1734 PetscCall(MatAXPYGetPreallocation_MPIBAIJ(yy->B, yy->garray, xx->B, xx->garray, nnz_o)); 1735 PetscCall(MatMPISBAIJSetPreallocation(B, bs, 0, nnz_d, 0, nnz_o)); 1736 PetscCall(MatAXPY_BasicWithPreallocation(B, Y, a, X, str)); 1737 PetscCall(MatHeaderMerge(Y, &B)); 1738 PetscCall(PetscFree(nnz_d)); 1739 PetscCall(PetscFree(nnz_o)); 1740 PetscCall(MatRestoreRowUpperTriangular(X)); 1741 PetscCall(MatRestoreRowUpperTriangular(Y)); 1742 } 1743 PetscFunctionReturn(PETSC_SUCCESS); 1744 } 1745 1746 static PetscErrorCode MatCreateSubMatrices_MPISBAIJ(Mat A, PetscInt n, const IS irow[], const IS icol[], MatReuse scall, Mat *B[]) 1747 { 1748 PetscInt i; 1749 PetscBool flg; 1750 1751 PetscFunctionBegin; 1752 PetscCall(MatCreateSubMatrices_MPIBAIJ(A, n, irow, icol, scall, B)); /* B[] are sbaij matrices */ 1753 for (i = 0; i < n; i++) { 1754 PetscCall(ISEqual(irow[i], icol[i], &flg)); 1755 if (!flg) PetscCall(MatSeqSBAIJZeroOps_Private(*B[i])); 1756 } 1757 PetscFunctionReturn(PETSC_SUCCESS); 1758 } 1759 1760 static PetscErrorCode MatShift_MPISBAIJ(Mat Y, PetscScalar a) 1761 { 1762 Mat_MPISBAIJ *maij = (Mat_MPISBAIJ *)Y->data; 1763 Mat_SeqSBAIJ *aij = (Mat_SeqSBAIJ *)maij->A->data; 1764 1765 PetscFunctionBegin; 1766 if (!Y->preallocated) { 1767 PetscCall(MatMPISBAIJSetPreallocation(Y, Y->rmap->bs, 1, NULL, 0, NULL)); 1768 } else if (!aij->nz) { 1769 PetscInt nonew = aij->nonew; 1770 PetscCall(MatSeqSBAIJSetPreallocation(maij->A, Y->rmap->bs, 1, NULL)); 1771 aij->nonew = nonew; 1772 } 1773 PetscCall(MatShift_Basic(Y, a)); 1774 PetscFunctionReturn(PETSC_SUCCESS); 1775 } 1776 1777 static PetscErrorCode MatMissingDiagonal_MPISBAIJ(Mat A, PetscBool *missing, PetscInt *d) 1778 { 1779 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data; 1780 1781 PetscFunctionBegin; 1782 PetscCheck(A->rmap->n == A->cmap->n, PETSC_COMM_SELF, PETSC_ERR_SUP, "Only works for square matrices"); 1783 PetscCall(MatMissingDiagonal(a->A, missing, d)); 1784 if (d) { 1785 PetscInt rstart; 1786 PetscCall(MatGetOwnershipRange(A, &rstart, NULL)); 1787 *d += rstart / A->rmap->bs; 1788 } 1789 PetscFunctionReturn(PETSC_SUCCESS); 1790 } 1791 1792 static PetscErrorCode MatGetDiagonalBlock_MPISBAIJ(Mat A, Mat *a) 1793 { 1794 PetscFunctionBegin; 1795 *a = ((Mat_MPISBAIJ *)A->data)->A; 1796 PetscFunctionReturn(PETSC_SUCCESS); 1797 } 1798 1799 static PetscErrorCode MatEliminateZeros_MPISBAIJ(Mat A, PetscBool keep) 1800 { 1801 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data; 1802 1803 PetscFunctionBegin; 1804 PetscCall(MatEliminateZeros_SeqSBAIJ(a->A, keep)); // possibly keep zero diagonal coefficients 1805 PetscCall(MatEliminateZeros_SeqBAIJ(a->B, PETSC_FALSE)); // never keep zero diagonal coefficients 1806 PetscFunctionReturn(PETSC_SUCCESS); 1807 } 1808 1809 static struct _MatOps MatOps_Values = {MatSetValues_MPISBAIJ, 1810 MatGetRow_MPISBAIJ, 1811 MatRestoreRow_MPISBAIJ, 1812 MatMult_MPISBAIJ, 1813 /* 4*/ MatMultAdd_MPISBAIJ, 1814 MatMult_MPISBAIJ, /* transpose versions are same as non-transpose */ 1815 MatMultAdd_MPISBAIJ, 1816 NULL, 1817 NULL, 1818 NULL, 1819 /* 10*/ NULL, 1820 NULL, 1821 NULL, 1822 MatSOR_MPISBAIJ, 1823 MatTranspose_MPISBAIJ, 1824 /* 15*/ MatGetInfo_MPISBAIJ, 1825 MatEqual_MPISBAIJ, 1826 MatGetDiagonal_MPISBAIJ, 1827 MatDiagonalScale_MPISBAIJ, 1828 MatNorm_MPISBAIJ, 1829 /* 20*/ MatAssemblyBegin_MPISBAIJ, 1830 MatAssemblyEnd_MPISBAIJ, 1831 MatSetOption_MPISBAIJ, 1832 MatZeroEntries_MPISBAIJ, 1833 /* 24*/ NULL, 1834 NULL, 1835 NULL, 1836 NULL, 1837 NULL, 1838 /* 29*/ MatSetUp_MPI_Hash, 1839 NULL, 1840 NULL, 1841 MatGetDiagonalBlock_MPISBAIJ, 1842 NULL, 1843 /* 34*/ MatDuplicate_MPISBAIJ, 1844 NULL, 1845 NULL, 1846 NULL, 1847 NULL, 1848 /* 39*/ MatAXPY_MPISBAIJ, 1849 MatCreateSubMatrices_MPISBAIJ, 1850 MatIncreaseOverlap_MPISBAIJ, 1851 MatGetValues_MPISBAIJ, 1852 MatCopy_MPISBAIJ, 1853 /* 44*/ NULL, 1854 MatScale_MPISBAIJ, 1855 MatShift_MPISBAIJ, 1856 NULL, 1857 NULL, 1858 /* 49*/ NULL, 1859 NULL, 1860 NULL, 1861 NULL, 1862 NULL, 1863 /* 54*/ NULL, 1864 NULL, 1865 MatSetUnfactored_MPISBAIJ, 1866 NULL, 1867 MatSetValuesBlocked_MPISBAIJ, 1868 /* 59*/ MatCreateSubMatrix_MPISBAIJ, 1869 NULL, 1870 NULL, 1871 NULL, 1872 NULL, 1873 /* 64*/ NULL, 1874 NULL, 1875 NULL, 1876 NULL, 1877 NULL, 1878 /* 69*/ MatGetRowMaxAbs_MPISBAIJ, 1879 NULL, 1880 MatConvert_MPISBAIJ_Basic, 1881 NULL, 1882 NULL, 1883 /* 74*/ NULL, 1884 NULL, 1885 NULL, 1886 NULL, 1887 NULL, 1888 /* 79*/ NULL, 1889 NULL, 1890 NULL, 1891 NULL, 1892 MatLoad_MPISBAIJ, 1893 /* 84*/ NULL, 1894 NULL, 1895 NULL, 1896 NULL, 1897 NULL, 1898 /* 89*/ NULL, 1899 NULL, 1900 NULL, 1901 NULL, 1902 NULL, 1903 /* 94*/ NULL, 1904 NULL, 1905 NULL, 1906 NULL, 1907 NULL, 1908 /* 99*/ NULL, 1909 NULL, 1910 NULL, 1911 MatConjugate_MPISBAIJ, 1912 NULL, 1913 /*104*/ NULL, 1914 MatRealPart_MPISBAIJ, 1915 MatImaginaryPart_MPISBAIJ, 1916 MatGetRowUpperTriangular_MPISBAIJ, 1917 MatRestoreRowUpperTriangular_MPISBAIJ, 1918 /*109*/ NULL, 1919 NULL, 1920 NULL, 1921 NULL, 1922 MatMissingDiagonal_MPISBAIJ, 1923 /*114*/ NULL, 1924 NULL, 1925 NULL, 1926 NULL, 1927 NULL, 1928 /*119*/ NULL, 1929 NULL, 1930 NULL, 1931 NULL, 1932 NULL, 1933 /*124*/ NULL, 1934 NULL, 1935 NULL, 1936 NULL, 1937 NULL, 1938 /*129*/ NULL, 1939 NULL, 1940 NULL, 1941 NULL, 1942 NULL, 1943 /*134*/ NULL, 1944 NULL, 1945 NULL, 1946 NULL, 1947 NULL, 1948 /*139*/ MatSetBlockSizes_Default, 1949 NULL, 1950 NULL, 1951 NULL, 1952 NULL, 1953 /*144*/ MatCreateMPIMatConcatenateSeqMat_MPISBAIJ, 1954 NULL, 1955 NULL, 1956 NULL, 1957 NULL, 1958 NULL, 1959 /*150*/ NULL, 1960 MatEliminateZeros_MPISBAIJ, 1961 NULL}; 1962 1963 static PetscErrorCode MatMPISBAIJSetPreallocation_MPISBAIJ(Mat B, PetscInt bs, PetscInt d_nz, const PetscInt *d_nnz, PetscInt o_nz, const PetscInt *o_nnz) 1964 { 1965 Mat_MPISBAIJ *b = (Mat_MPISBAIJ *)B->data; 1966 PetscInt i, mbs, Mbs; 1967 PetscMPIInt size; 1968 1969 PetscFunctionBegin; 1970 if (B->hash_active) { 1971 B->ops[0] = b->cops; 1972 B->hash_active = PETSC_FALSE; 1973 } 1974 if (!B->preallocated) PetscCall(MatStashCreate_Private(PetscObjectComm((PetscObject)B), bs, &B->bstash)); 1975 PetscCall(MatSetBlockSize(B, PetscAbs(bs))); 1976 PetscCall(PetscLayoutSetUp(B->rmap)); 1977 PetscCall(PetscLayoutSetUp(B->cmap)); 1978 PetscCall(PetscLayoutGetBlockSize(B->rmap, &bs)); 1979 PetscCheck(B->rmap->N <= B->cmap->N, PetscObjectComm((PetscObject)B), PETSC_ERR_SUP, "MPISBAIJ matrix cannot have more rows %" PetscInt_FMT " than columns %" PetscInt_FMT, B->rmap->N, B->cmap->N); 1980 PetscCheck(B->rmap->n <= B->cmap->n, PETSC_COMM_SELF, PETSC_ERR_SUP, "MPISBAIJ matrix cannot have more local rows %" PetscInt_FMT " than columns %" PetscInt_FMT, B->rmap->n, B->cmap->n); 1981 1982 mbs = B->rmap->n / bs; 1983 Mbs = B->rmap->N / bs; 1984 PetscCheck(mbs * bs == B->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "No of local rows %" PetscInt_FMT " must be divisible by blocksize %" PetscInt_FMT, B->rmap->N, bs); 1985 1986 B->rmap->bs = bs; 1987 b->bs2 = bs * bs; 1988 b->mbs = mbs; 1989 b->Mbs = Mbs; 1990 b->nbs = B->cmap->n / bs; 1991 b->Nbs = B->cmap->N / bs; 1992 1993 for (i = 0; i <= b->size; i++) b->rangebs[i] = B->rmap->range[i] / bs; 1994 b->rstartbs = B->rmap->rstart / bs; 1995 b->rendbs = B->rmap->rend / bs; 1996 1997 b->cstartbs = B->cmap->rstart / bs; 1998 b->cendbs = B->cmap->rend / bs; 1999 2000 #if defined(PETSC_USE_CTABLE) 2001 PetscCall(PetscHMapIDestroy(&b->colmap)); 2002 #else 2003 PetscCall(PetscFree(b->colmap)); 2004 #endif 2005 PetscCall(PetscFree(b->garray)); 2006 PetscCall(VecDestroy(&b->lvec)); 2007 PetscCall(VecScatterDestroy(&b->Mvctx)); 2008 PetscCall(VecDestroy(&b->slvec0)); 2009 PetscCall(VecDestroy(&b->slvec0b)); 2010 PetscCall(VecDestroy(&b->slvec1)); 2011 PetscCall(VecDestroy(&b->slvec1a)); 2012 PetscCall(VecDestroy(&b->slvec1b)); 2013 PetscCall(VecScatterDestroy(&b->sMvctx)); 2014 2015 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)B), &size)); 2016 2017 MatSeqXAIJGetOptions_Private(b->B); 2018 PetscCall(MatDestroy(&b->B)); 2019 PetscCall(MatCreate(PETSC_COMM_SELF, &b->B)); 2020 PetscCall(MatSetSizes(b->B, B->rmap->n, size > 1 ? B->cmap->N : 0, B->rmap->n, size > 1 ? B->cmap->N : 0)); 2021 PetscCall(MatSetType(b->B, MATSEQBAIJ)); 2022 MatSeqXAIJRestoreOptions_Private(b->B); 2023 2024 MatSeqXAIJGetOptions_Private(b->A); 2025 PetscCall(MatDestroy(&b->A)); 2026 PetscCall(MatCreate(PETSC_COMM_SELF, &b->A)); 2027 PetscCall(MatSetSizes(b->A, B->rmap->n, B->cmap->n, B->rmap->n, B->cmap->n)); 2028 PetscCall(MatSetType(b->A, MATSEQSBAIJ)); 2029 MatSeqXAIJRestoreOptions_Private(b->A); 2030 2031 PetscCall(MatSeqSBAIJSetPreallocation(b->A, bs, d_nz, d_nnz)); 2032 PetscCall(MatSeqBAIJSetPreallocation(b->B, bs, o_nz, o_nnz)); 2033 2034 B->preallocated = PETSC_TRUE; 2035 B->was_assembled = PETSC_FALSE; 2036 B->assembled = PETSC_FALSE; 2037 PetscFunctionReturn(PETSC_SUCCESS); 2038 } 2039 2040 static PetscErrorCode MatMPISBAIJSetPreallocationCSR_MPISBAIJ(Mat B, PetscInt bs, const PetscInt ii[], const PetscInt jj[], const PetscScalar V[]) 2041 { 2042 PetscInt m, rstart, cend; 2043 PetscInt i, j, d, nz, bd, nz_max = 0, *d_nnz = NULL, *o_nnz = NULL; 2044 const PetscInt *JJ = NULL; 2045 PetscScalar *values = NULL; 2046 PetscBool roworiented = ((Mat_MPISBAIJ *)B->data)->roworiented; 2047 PetscBool nooffprocentries; 2048 2049 PetscFunctionBegin; 2050 PetscCheck(bs >= 1, PetscObjectComm((PetscObject)B), PETSC_ERR_ARG_OUTOFRANGE, "Invalid block size specified, must be positive but it is %" PetscInt_FMT, bs); 2051 PetscCall(PetscLayoutSetBlockSize(B->rmap, bs)); 2052 PetscCall(PetscLayoutSetBlockSize(B->cmap, bs)); 2053 PetscCall(PetscLayoutSetUp(B->rmap)); 2054 PetscCall(PetscLayoutSetUp(B->cmap)); 2055 PetscCall(PetscLayoutGetBlockSize(B->rmap, &bs)); 2056 m = B->rmap->n / bs; 2057 rstart = B->rmap->rstart / bs; 2058 cend = B->cmap->rend / bs; 2059 2060 PetscCheck(!ii[0], PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "ii[0] must be 0 but it is %" PetscInt_FMT, ii[0]); 2061 PetscCall(PetscMalloc2(m, &d_nnz, m, &o_nnz)); 2062 for (i = 0; i < m; i++) { 2063 nz = ii[i + 1] - ii[i]; 2064 PetscCheck(nz >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Local row %" PetscInt_FMT " has a negative number of columns %" PetscInt_FMT, i, nz); 2065 /* count the ones on the diagonal and above, split into diagonal and off-diagonal portions. */ 2066 JJ = jj + ii[i]; 2067 bd = 0; 2068 for (j = 0; j < nz; j++) { 2069 if (*JJ >= i + rstart) break; 2070 JJ++; 2071 bd++; 2072 } 2073 d = 0; 2074 for (; j < nz; j++) { 2075 if (*JJ++ >= cend) break; 2076 d++; 2077 } 2078 d_nnz[i] = d; 2079 o_nnz[i] = nz - d - bd; 2080 nz = nz - bd; 2081 nz_max = PetscMax(nz_max, nz); 2082 } 2083 PetscCall(MatMPISBAIJSetPreallocation(B, bs, 0, d_nnz, 0, o_nnz)); 2084 PetscCall(MatSetOption(B, MAT_IGNORE_LOWER_TRIANGULAR, PETSC_TRUE)); 2085 PetscCall(PetscFree2(d_nnz, o_nnz)); 2086 2087 values = (PetscScalar *)V; 2088 if (!values) PetscCall(PetscCalloc1(bs * bs * nz_max, &values)); 2089 for (i = 0; i < m; i++) { 2090 PetscInt row = i + rstart; 2091 PetscInt ncols = ii[i + 1] - ii[i]; 2092 const PetscInt *icols = jj + ii[i]; 2093 if (bs == 1 || !roworiented) { /* block ordering matches the non-nested layout of MatSetValues so we can insert entire rows */ 2094 const PetscScalar *svals = values + (V ? (bs * bs * ii[i]) : 0); 2095 PetscCall(MatSetValuesBlocked_MPISBAIJ(B, 1, &row, ncols, icols, svals, INSERT_VALUES)); 2096 } else { /* block ordering does not match so we can only insert one block at a time. */ 2097 PetscInt j; 2098 for (j = 0; j < ncols; j++) { 2099 const PetscScalar *svals = values + (V ? (bs * bs * (ii[i] + j)) : 0); 2100 PetscCall(MatSetValuesBlocked_MPISBAIJ(B, 1, &row, 1, &icols[j], svals, INSERT_VALUES)); 2101 } 2102 } 2103 } 2104 2105 if (!V) PetscCall(PetscFree(values)); 2106 nooffprocentries = B->nooffprocentries; 2107 B->nooffprocentries = PETSC_TRUE; 2108 PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY)); 2109 PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY)); 2110 B->nooffprocentries = nooffprocentries; 2111 2112 PetscCall(MatSetOption(B, MAT_NEW_NONZERO_LOCATION_ERR, PETSC_TRUE)); 2113 PetscFunctionReturn(PETSC_SUCCESS); 2114 } 2115 2116 /*MC 2117 MATMPISBAIJ - MATMPISBAIJ = "mpisbaij" - A matrix type to be used for distributed symmetric sparse block matrices, 2118 based on block compressed sparse row format. Only the upper triangular portion of the "diagonal" portion of 2119 the matrix is stored. 2120 2121 For complex numbers by default this matrix is symmetric, NOT Hermitian symmetric. To make it Hermitian symmetric you 2122 can call `MatSetOption`(`Mat`, `MAT_HERMITIAN`); 2123 2124 Options Database Key: 2125 . -mat_type mpisbaij - sets the matrix type to "mpisbaij" during a call to `MatSetFromOptions()` 2126 2127 Level: beginner 2128 2129 Note: 2130 The number of rows in the matrix must be less than or equal to the number of columns. Similarly the number of rows in the 2131 diagonal portion of the matrix of each process has to less than or equal the number of columns. 2132 2133 .seealso: [](ch_matrices), `Mat`, `MATSBAIJ`, `MATBAIJ`, `MatCreateBAIJ()`, `MATSEQSBAIJ`, `MatType` 2134 M*/ 2135 2136 PETSC_EXTERN PetscErrorCode MatCreate_MPISBAIJ(Mat B) 2137 { 2138 Mat_MPISBAIJ *b; 2139 PetscBool flg = PETSC_FALSE; 2140 2141 PetscFunctionBegin; 2142 PetscCall(PetscNew(&b)); 2143 B->data = (void *)b; 2144 B->ops[0] = MatOps_Values; 2145 2146 B->ops->destroy = MatDestroy_MPISBAIJ; 2147 B->ops->view = MatView_MPISBAIJ; 2148 B->assembled = PETSC_FALSE; 2149 B->insertmode = NOT_SET_VALUES; 2150 2151 PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)B), &b->rank)); 2152 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)B), &b->size)); 2153 2154 /* build local table of row and column ownerships */ 2155 PetscCall(PetscMalloc1(b->size + 2, &b->rangebs)); 2156 2157 /* build cache for off array entries formed */ 2158 PetscCall(MatStashCreate_Private(PetscObjectComm((PetscObject)B), 1, &B->stash)); 2159 2160 b->donotstash = PETSC_FALSE; 2161 b->colmap = NULL; 2162 b->garray = NULL; 2163 b->roworiented = PETSC_TRUE; 2164 2165 /* stuff used in block assembly */ 2166 b->barray = NULL; 2167 2168 /* stuff used for matrix vector multiply */ 2169 b->lvec = NULL; 2170 b->Mvctx = NULL; 2171 b->slvec0 = NULL; 2172 b->slvec0b = NULL; 2173 b->slvec1 = NULL; 2174 b->slvec1a = NULL; 2175 b->slvec1b = NULL; 2176 b->sMvctx = NULL; 2177 2178 /* stuff for MatGetRow() */ 2179 b->rowindices = NULL; 2180 b->rowvalues = NULL; 2181 b->getrowactive = PETSC_FALSE; 2182 2183 /* hash table stuff */ 2184 b->ht = NULL; 2185 b->hd = NULL; 2186 b->ht_size = 0; 2187 b->ht_flag = PETSC_FALSE; 2188 b->ht_fact = 0; 2189 b->ht_total_ct = 0; 2190 b->ht_insert_ct = 0; 2191 2192 /* stuff for MatCreateSubMatrices_MPIBAIJ_local() */ 2193 b->ijonly = PETSC_FALSE; 2194 2195 b->in_loc = NULL; 2196 b->v_loc = NULL; 2197 b->n_loc = 0; 2198 2199 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatStoreValues_C", MatStoreValues_MPISBAIJ)); 2200 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatRetrieveValues_C", MatRetrieveValues_MPISBAIJ)); 2201 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatMPISBAIJSetPreallocation_C", MatMPISBAIJSetPreallocation_MPISBAIJ)); 2202 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatMPISBAIJSetPreallocationCSR_C", MatMPISBAIJSetPreallocationCSR_MPISBAIJ)); 2203 #if defined(PETSC_HAVE_ELEMENTAL) 2204 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_mpisbaij_elemental_C", MatConvert_MPISBAIJ_Elemental)); 2205 #endif 2206 #if defined(PETSC_HAVE_SCALAPACK) 2207 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_mpisbaij_scalapack_C", MatConvert_SBAIJ_ScaLAPACK)); 2208 #endif 2209 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_mpisbaij_mpiaij_C", MatConvert_MPISBAIJ_Basic)); 2210 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_mpisbaij_mpibaij_C", MatConvert_MPISBAIJ_Basic)); 2211 2212 B->symmetric = PETSC_BOOL3_TRUE; 2213 B->structurally_symmetric = PETSC_BOOL3_TRUE; 2214 B->symmetry_eternal = PETSC_TRUE; 2215 B->structural_symmetry_eternal = PETSC_TRUE; 2216 #if defined(PETSC_USE_COMPLEX) 2217 B->hermitian = PETSC_BOOL3_FALSE; 2218 #else 2219 B->hermitian = PETSC_BOOL3_TRUE; 2220 #endif 2221 2222 PetscCall(PetscObjectChangeTypeName((PetscObject)B, MATMPISBAIJ)); 2223 PetscOptionsBegin(PetscObjectComm((PetscObject)B), NULL, "Options for loading MPISBAIJ matrix 1", "Mat"); 2224 PetscCall(PetscOptionsBool("-mat_use_hash_table", "Use hash table to save memory in constructing matrix", "MatSetOption", flg, &flg, NULL)); 2225 if (flg) { 2226 PetscReal fact = 1.39; 2227 PetscCall(MatSetOption(B, MAT_USE_HASH_TABLE, PETSC_TRUE)); 2228 PetscCall(PetscOptionsReal("-mat_use_hash_table", "Use hash table factor", "MatMPIBAIJSetHashTableFactor", fact, &fact, NULL)); 2229 if (fact <= 1.0) fact = 1.39; 2230 PetscCall(MatMPIBAIJSetHashTableFactor(B, fact)); 2231 PetscCall(PetscInfo(B, "Hash table Factor used %5.2g\n", (double)fact)); 2232 } 2233 PetscOptionsEnd(); 2234 PetscFunctionReturn(PETSC_SUCCESS); 2235 } 2236 2237 // PetscClangLinter pragma disable: -fdoc-section-header-unknown 2238 /*MC 2239 MATSBAIJ - MATSBAIJ = "sbaij" - A matrix type to be used for symmetric block sparse matrices. 2240 2241 This matrix type is identical to `MATSEQSBAIJ` when constructed with a single process communicator, 2242 and `MATMPISBAIJ` otherwise. 2243 2244 Options Database Key: 2245 . -mat_type sbaij - sets the matrix type to `MATSBAIJ` during a call to `MatSetFromOptions()` 2246 2247 Level: beginner 2248 2249 .seealso: [](ch_matrices), `Mat`, `MATSEQSBAIJ`, `MATMPISBAIJ`, `MatCreateSBAIJ()`, `MATSEQSBAIJ`, `MATMPISBAIJ` 2250 M*/ 2251 2252 /*@C 2253 MatMPISBAIJSetPreallocation - For good matrix assembly performance 2254 the user should preallocate the matrix storage by setting the parameters 2255 d_nz (or d_nnz) and o_nz (or o_nnz). By setting these parameters accurately, 2256 performance can be increased by more than a factor of 50. 2257 2258 Collective 2259 2260 Input Parameters: 2261 + B - the matrix 2262 . bs - size of block, the blocks are ALWAYS square. One can use MatSetBlockSizes() to set a different row and column blocksize but the row 2263 blocksize always defines the size of the blocks. The column blocksize sets the blocksize of the vectors obtained with MatCreateVecs() 2264 . d_nz - number of block nonzeros per block row in diagonal portion of local 2265 submatrix (same for all local rows) 2266 . d_nnz - array containing the number of block nonzeros in the various block rows 2267 in the upper triangular and diagonal part of the in diagonal portion of the local 2268 (possibly different for each block row) or `NULL`. If you plan to factor the matrix you must leave room 2269 for the diagonal entry and set a value even if it is zero. 2270 . o_nz - number of block nonzeros per block row in the off-diagonal portion of local 2271 submatrix (same for all local rows). 2272 - o_nnz - array containing the number of nonzeros in the various block rows of the 2273 off-diagonal portion of the local submatrix that is right of the diagonal 2274 (possibly different for each block row) or `NULL`. 2275 2276 Options Database Keys: 2277 + -mat_no_unroll - uses code that does not unroll the loops in the 2278 block calculations (much slower) 2279 - -mat_block_size - size of the blocks to use 2280 2281 Level: intermediate 2282 2283 Notes: 2284 2285 If `PETSC_DECIDE` or `PETSC_DETERMINE` is used for a particular argument on one processor 2286 than it must be used on all processors that share the object for that argument. 2287 2288 If the *_nnz parameter is given then the *_nz parameter is ignored 2289 2290 Storage Information: 2291 For a square global matrix we define each processor's diagonal portion 2292 to be its local rows and the corresponding columns (a square submatrix); 2293 each processor's off-diagonal portion encompasses the remainder of the 2294 local matrix (a rectangular submatrix). 2295 2296 The user can specify preallocated storage for the diagonal part of 2297 the local submatrix with either `d_nz` or `d_nnz` (not both). Set 2298 `d_nz` = `PETSC_DEFAULT` and `d_nnz` = `NULL` for PETSc to control dynamic 2299 memory allocation. Likewise, specify preallocated storage for the 2300 off-diagonal part of the local submatrix with `o_nz` or `o_nnz` (not both). 2301 2302 You can call `MatGetInfo()` to get information on how effective the preallocation was; 2303 for example the fields mallocs,nz_allocated,nz_used,nz_unneeded; 2304 You can also run with the option `-info` and look for messages with the string 2305 malloc in them to see if additional memory allocation was needed. 2306 2307 Consider a processor that owns rows 3, 4 and 5 of a parallel matrix. In 2308 the figure below we depict these three local rows and all columns (0-11). 2309 2310 .vb 2311 0 1 2 3 4 5 6 7 8 9 10 11 2312 -------------------------- 2313 row 3 |. . . d d d o o o o o o 2314 row 4 |. . . d d d o o o o o o 2315 row 5 |. . . d d d o o o o o o 2316 -------------------------- 2317 .ve 2318 2319 Thus, any entries in the d locations are stored in the d (diagonal) 2320 submatrix, and any entries in the o locations are stored in the 2321 o (off-diagonal) submatrix. Note that the d matrix is stored in 2322 `MATSEQSBAIJ` format and the o submatrix in `MATSEQBAIJ` format. 2323 2324 Now `d_nz` should indicate the number of block nonzeros per row in the upper triangular 2325 plus the diagonal part of the d matrix, 2326 and `o_nz` should indicate the number of block nonzeros per row in the o matrix 2327 2328 In general, for PDE problems in which most nonzeros are near the diagonal, 2329 one expects `d_nz` >> `o_nz`. 2330 2331 .seealso: [](ch_matrices), `Mat`, `MATMPISBAIJ`, `MATSBAIJ`, `MatCreate()`, `MatCreateSeqSBAIJ()`, `MatSetValues()`, `MatCreateBAIJ()`, `PetscSplitOwnership()` 2332 @*/ 2333 PetscErrorCode MatMPISBAIJSetPreallocation(Mat B, PetscInt bs, PetscInt d_nz, const PetscInt d_nnz[], PetscInt o_nz, const PetscInt o_nnz[]) 2334 { 2335 PetscFunctionBegin; 2336 PetscValidHeaderSpecific(B, MAT_CLASSID, 1); 2337 PetscValidType(B, 1); 2338 PetscValidLogicalCollectiveInt(B, bs, 2); 2339 PetscTryMethod(B, "MatMPISBAIJSetPreallocation_C", (Mat, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[]), (B, bs, d_nz, d_nnz, o_nz, o_nnz)); 2340 PetscFunctionReturn(PETSC_SUCCESS); 2341 } 2342 2343 // PetscClangLinter pragma disable: -fdoc-section-header-unknown 2344 /*@C 2345 MatCreateSBAIJ - Creates a sparse parallel matrix in symmetric block AIJ format, `MATSBAIJ`, 2346 (block compressed row). For good matrix assembly performance 2347 the user should preallocate the matrix storage by setting the parameters 2348 `d_nz` (or `d_nnz`) and `o_nz` (or `o_nnz`). 2349 2350 Collective 2351 2352 Input Parameters: 2353 + comm - MPI communicator 2354 . bs - size of block, the blocks are ALWAYS square. One can use `MatSetBlockSizes()` to set a different row and column blocksize but the row 2355 blocksize always defines the size of the blocks. The column blocksize sets the blocksize of the vectors obtained with `MatCreateVecs()` 2356 . m - number of local rows (or `PETSC_DECIDE` to have calculated if `M` is given) 2357 This value should be the same as the local size used in creating the 2358 y vector for the matrix-vector product y = Ax. 2359 . n - number of local columns (or `PETSC_DECIDE` to have calculated if `N` is given) 2360 This value should be the same as the local size used in creating the 2361 x vector for the matrix-vector product y = Ax. 2362 . M - number of global rows (or `PETSC_DETERMINE` to have calculated if `m` is given) 2363 . N - number of global columns (or `PETSC_DETERMINE` to have calculated if `n` is given) 2364 . d_nz - number of block nonzeros per block row in diagonal portion of local 2365 submatrix (same for all local rows) 2366 . d_nnz - array containing the number of block nonzeros in the various block rows 2367 in the upper triangular portion of the in diagonal portion of the local 2368 (possibly different for each block block row) or `NULL`. 2369 If you plan to factor the matrix you must leave room for the diagonal entry and 2370 set its value even if it is zero. 2371 . o_nz - number of block nonzeros per block row in the off-diagonal portion of local 2372 submatrix (same for all local rows). 2373 - o_nnz - array containing the number of nonzeros in the various block rows of the 2374 off-diagonal portion of the local submatrix (possibly different for 2375 each block row) or `NULL`. 2376 2377 Output Parameter: 2378 . A - the matrix 2379 2380 Options Database Keys: 2381 + -mat_no_unroll - uses code that does not unroll the loops in the 2382 block calculations (much slower) 2383 . -mat_block_size - size of the blocks to use 2384 - -mat_mpi - use the parallel matrix data structures even on one processor 2385 (defaults to using SeqBAIJ format on one processor) 2386 2387 Level: intermediate 2388 2389 Notes: 2390 It is recommended that one use `MatCreateFromOptions()` or the `MatCreate()`, `MatSetType()` and/or `MatSetFromOptions()`, 2391 MatXXXXSetPreallocation() paradigm instead of this routine directly. 2392 [MatXXXXSetPreallocation() is, for example, `MatSeqAIJSetPreallocation()`] 2393 2394 The number of rows and columns must be divisible by blocksize. 2395 This matrix type does not support complex Hermitian operation. 2396 2397 The user MUST specify either the local or global matrix dimensions 2398 (possibly both). 2399 2400 If `PETSC_DECIDE` or `PETSC_DETERMINE` is used for a particular argument on one processor 2401 than it must be used on all processors that share the object for that argument. 2402 2403 If the *_nnz parameter is given then the *_nz parameter is ignored 2404 2405 Storage Information: 2406 For a square global matrix we define each processor's diagonal portion 2407 to be its local rows and the corresponding columns (a square submatrix); 2408 each processor's off-diagonal portion encompasses the remainder of the 2409 local matrix (a rectangular submatrix). 2410 2411 The user can specify preallocated storage for the diagonal part of 2412 the local submatrix with either `d_nz` or `d_nnz` (not both). Set 2413 `d_nz` = `PETSC_DEFAULT` and `d_nnz` = `NULL` for PETSc to control dynamic 2414 memory allocation. Likewise, specify preallocated storage for the 2415 off-diagonal part of the local submatrix with `o_nz` or `o_nnz` (not both). 2416 2417 Consider a processor that owns rows 3, 4 and 5 of a parallel matrix. In 2418 the figure below we depict these three local rows and all columns (0-11). 2419 2420 .vb 2421 0 1 2 3 4 5 6 7 8 9 10 11 2422 -------------------------- 2423 row 3 |. . . d d d o o o o o o 2424 row 4 |. . . d d d o o o o o o 2425 row 5 |. . . d d d o o o o o o 2426 -------------------------- 2427 .ve 2428 2429 Thus, any entries in the d locations are stored in the d (diagonal) 2430 submatrix, and any entries in the o locations are stored in the 2431 o (off-diagonal) submatrix. Note that the d matrix is stored in 2432 `MATSEQSBAIJ` format and the o submatrix in `MATSEQBAIJ` format. 2433 2434 Now `d_nz` should indicate the number of block nonzeros per row in the upper triangular 2435 plus the diagonal part of the d matrix, 2436 and `o_nz` should indicate the number of block nonzeros per row in the o matrix. 2437 In general, for PDE problems in which most nonzeros are near the diagonal, 2438 one expects `d_nz` >> `o_nz`. 2439 2440 .seealso: [](ch_matrices), `Mat`, `MATSBAIJ`, `MatCreate()`, `MatCreateSeqSBAIJ()`, `MatSetValues()`, `MatCreateBAIJ()` 2441 @*/ 2442 PetscErrorCode MatCreateSBAIJ(MPI_Comm comm, PetscInt bs, PetscInt m, PetscInt n, PetscInt M, PetscInt N, PetscInt d_nz, const PetscInt d_nnz[], PetscInt o_nz, const PetscInt o_nnz[], Mat *A) 2443 { 2444 PetscMPIInt size; 2445 2446 PetscFunctionBegin; 2447 PetscCall(MatCreate(comm, A)); 2448 PetscCall(MatSetSizes(*A, m, n, M, N)); 2449 PetscCallMPI(MPI_Comm_size(comm, &size)); 2450 if (size > 1) { 2451 PetscCall(MatSetType(*A, MATMPISBAIJ)); 2452 PetscCall(MatMPISBAIJSetPreallocation(*A, bs, d_nz, d_nnz, o_nz, o_nnz)); 2453 } else { 2454 PetscCall(MatSetType(*A, MATSEQSBAIJ)); 2455 PetscCall(MatSeqSBAIJSetPreallocation(*A, bs, d_nz, d_nnz)); 2456 } 2457 PetscFunctionReturn(PETSC_SUCCESS); 2458 } 2459 2460 static PetscErrorCode MatDuplicate_MPISBAIJ(Mat matin, MatDuplicateOption cpvalues, Mat *newmat) 2461 { 2462 Mat mat; 2463 Mat_MPISBAIJ *a, *oldmat = (Mat_MPISBAIJ *)matin->data; 2464 PetscInt len = 0, nt, bs = matin->rmap->bs, mbs = oldmat->mbs; 2465 PetscScalar *array; 2466 2467 PetscFunctionBegin; 2468 *newmat = NULL; 2469 2470 PetscCall(MatCreate(PetscObjectComm((PetscObject)matin), &mat)); 2471 PetscCall(MatSetSizes(mat, matin->rmap->n, matin->cmap->n, matin->rmap->N, matin->cmap->N)); 2472 PetscCall(MatSetType(mat, ((PetscObject)matin)->type_name)); 2473 PetscCall(PetscLayoutReference(matin->rmap, &mat->rmap)); 2474 PetscCall(PetscLayoutReference(matin->cmap, &mat->cmap)); 2475 2476 if (matin->hash_active) { 2477 PetscCall(MatSetUp(mat)); 2478 } else { 2479 mat->factortype = matin->factortype; 2480 mat->preallocated = PETSC_TRUE; 2481 mat->assembled = PETSC_TRUE; 2482 mat->insertmode = NOT_SET_VALUES; 2483 2484 a = (Mat_MPISBAIJ *)mat->data; 2485 a->bs2 = oldmat->bs2; 2486 a->mbs = oldmat->mbs; 2487 a->nbs = oldmat->nbs; 2488 a->Mbs = oldmat->Mbs; 2489 a->Nbs = oldmat->Nbs; 2490 2491 a->size = oldmat->size; 2492 a->rank = oldmat->rank; 2493 a->donotstash = oldmat->donotstash; 2494 a->roworiented = oldmat->roworiented; 2495 a->rowindices = NULL; 2496 a->rowvalues = NULL; 2497 a->getrowactive = PETSC_FALSE; 2498 a->barray = NULL; 2499 a->rstartbs = oldmat->rstartbs; 2500 a->rendbs = oldmat->rendbs; 2501 a->cstartbs = oldmat->cstartbs; 2502 a->cendbs = oldmat->cendbs; 2503 2504 /* hash table stuff */ 2505 a->ht = NULL; 2506 a->hd = NULL; 2507 a->ht_size = 0; 2508 a->ht_flag = oldmat->ht_flag; 2509 a->ht_fact = oldmat->ht_fact; 2510 a->ht_total_ct = 0; 2511 a->ht_insert_ct = 0; 2512 2513 PetscCall(PetscArraycpy(a->rangebs, oldmat->rangebs, a->size + 2)); 2514 if (oldmat->colmap) { 2515 #if defined(PETSC_USE_CTABLE) 2516 PetscCall(PetscHMapIDuplicate(oldmat->colmap, &a->colmap)); 2517 #else 2518 PetscCall(PetscMalloc1(a->Nbs, &a->colmap)); 2519 PetscCall(PetscArraycpy(a->colmap, oldmat->colmap, a->Nbs)); 2520 #endif 2521 } else a->colmap = NULL; 2522 2523 if (oldmat->garray && (len = ((Mat_SeqBAIJ *)(oldmat->B->data))->nbs)) { 2524 PetscCall(PetscMalloc1(len, &a->garray)); 2525 PetscCall(PetscArraycpy(a->garray, oldmat->garray, len)); 2526 } else a->garray = NULL; 2527 2528 PetscCall(MatStashCreate_Private(PetscObjectComm((PetscObject)matin), matin->rmap->bs, &mat->bstash)); 2529 PetscCall(VecDuplicate(oldmat->lvec, &a->lvec)); 2530 PetscCall(VecScatterCopy(oldmat->Mvctx, &a->Mvctx)); 2531 2532 PetscCall(VecDuplicate(oldmat->slvec0, &a->slvec0)); 2533 PetscCall(VecDuplicate(oldmat->slvec1, &a->slvec1)); 2534 2535 PetscCall(VecGetLocalSize(a->slvec1, &nt)); 2536 PetscCall(VecGetArray(a->slvec1, &array)); 2537 PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, bs * mbs, array, &a->slvec1a)); 2538 PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, nt - bs * mbs, array + bs * mbs, &a->slvec1b)); 2539 PetscCall(VecRestoreArray(a->slvec1, &array)); 2540 PetscCall(VecGetArray(a->slvec0, &array)); 2541 PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, nt - bs * mbs, array + bs * mbs, &a->slvec0b)); 2542 PetscCall(VecRestoreArray(a->slvec0, &array)); 2543 2544 /* ierr = VecScatterCopy(oldmat->sMvctx,&a->sMvctx); - not written yet, replaced by the lazy trick: */ 2545 PetscCall(PetscObjectReference((PetscObject)oldmat->sMvctx)); 2546 a->sMvctx = oldmat->sMvctx; 2547 2548 PetscCall(MatDuplicate(oldmat->A, cpvalues, &a->A)); 2549 PetscCall(MatDuplicate(oldmat->B, cpvalues, &a->B)); 2550 } 2551 PetscCall(PetscFunctionListDuplicate(((PetscObject)matin)->qlist, &((PetscObject)mat)->qlist)); 2552 *newmat = mat; 2553 PetscFunctionReturn(PETSC_SUCCESS); 2554 } 2555 2556 /* Used for both MPIBAIJ and MPISBAIJ matrices */ 2557 #define MatLoad_MPISBAIJ_Binary MatLoad_MPIBAIJ_Binary 2558 2559 PetscErrorCode MatLoad_MPISBAIJ(Mat mat, PetscViewer viewer) 2560 { 2561 PetscBool isbinary; 2562 2563 PetscFunctionBegin; 2564 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary)); 2565 PetscCheck(isbinary, PetscObjectComm((PetscObject)viewer), PETSC_ERR_SUP, "Viewer type %s not yet supported for reading %s matrices", ((PetscObject)viewer)->type_name, ((PetscObject)mat)->type_name); 2566 PetscCall(MatLoad_MPISBAIJ_Binary(mat, viewer)); 2567 PetscFunctionReturn(PETSC_SUCCESS); 2568 } 2569 2570 PetscErrorCode MatGetRowMaxAbs_MPISBAIJ(Mat A, Vec v, PetscInt idx[]) 2571 { 2572 Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data; 2573 Mat_SeqBAIJ *b = (Mat_SeqBAIJ *)(a->B)->data; 2574 PetscReal atmp; 2575 PetscReal *work, *svalues, *rvalues; 2576 PetscInt i, bs, mbs, *bi, *bj, brow, j, ncols, krow, kcol, col, row, Mbs, bcol; 2577 PetscMPIInt rank, size; 2578 PetscInt *rowners_bs, dest, count, source; 2579 PetscScalar *va; 2580 MatScalar *ba; 2581 MPI_Status stat; 2582 2583 PetscFunctionBegin; 2584 PetscCheck(!idx, PETSC_COMM_SELF, PETSC_ERR_SUP, "Send email to petsc-maint@mcs.anl.gov"); 2585 PetscCall(MatGetRowMaxAbs(a->A, v, NULL)); 2586 PetscCall(VecGetArray(v, &va)); 2587 2588 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)A), &size)); 2589 PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)A), &rank)); 2590 2591 bs = A->rmap->bs; 2592 mbs = a->mbs; 2593 Mbs = a->Mbs; 2594 ba = b->a; 2595 bi = b->i; 2596 bj = b->j; 2597 2598 /* find ownerships */ 2599 rowners_bs = A->rmap->range; 2600 2601 /* each proc creates an array to be distributed */ 2602 PetscCall(PetscCalloc1(bs * Mbs, &work)); 2603 2604 /* row_max for B */ 2605 if (rank != size - 1) { 2606 for (i = 0; i < mbs; i++) { 2607 ncols = bi[1] - bi[0]; 2608 bi++; 2609 brow = bs * i; 2610 for (j = 0; j < ncols; j++) { 2611 bcol = bs * (*bj); 2612 for (kcol = 0; kcol < bs; kcol++) { 2613 col = bcol + kcol; /* local col index */ 2614 col += rowners_bs[rank + 1]; /* global col index */ 2615 for (krow = 0; krow < bs; krow++) { 2616 atmp = PetscAbsScalar(*ba); 2617 ba++; 2618 row = brow + krow; /* local row index */ 2619 if (PetscRealPart(va[row]) < atmp) va[row] = atmp; 2620 if (work[col] < atmp) work[col] = atmp; 2621 } 2622 } 2623 bj++; 2624 } 2625 } 2626 2627 /* send values to its owners */ 2628 for (dest = rank + 1; dest < size; dest++) { 2629 svalues = work + rowners_bs[dest]; 2630 count = rowners_bs[dest + 1] - rowners_bs[dest]; 2631 PetscCallMPI(MPI_Send(svalues, count, MPIU_REAL, dest, rank, PetscObjectComm((PetscObject)A))); 2632 } 2633 } 2634 2635 /* receive values */ 2636 if (rank) { 2637 rvalues = work; 2638 count = rowners_bs[rank + 1] - rowners_bs[rank]; 2639 for (source = 0; source < rank; source++) { 2640 PetscCallMPI(MPI_Recv(rvalues, count, MPIU_REAL, MPI_ANY_SOURCE, MPI_ANY_TAG, PetscObjectComm((PetscObject)A), &stat)); 2641 /* process values */ 2642 for (i = 0; i < count; i++) { 2643 if (PetscRealPart(va[i]) < rvalues[i]) va[i] = rvalues[i]; 2644 } 2645 } 2646 } 2647 2648 PetscCall(VecRestoreArray(v, &va)); 2649 PetscCall(PetscFree(work)); 2650 PetscFunctionReturn(PETSC_SUCCESS); 2651 } 2652 2653 PetscErrorCode MatSOR_MPISBAIJ(Mat matin, Vec bb, PetscReal omega, MatSORType flag, PetscReal fshift, PetscInt its, PetscInt lits, Vec xx) 2654 { 2655 Mat_MPISBAIJ *mat = (Mat_MPISBAIJ *)matin->data; 2656 PetscInt mbs = mat->mbs, bs = matin->rmap->bs; 2657 PetscScalar *x, *ptr, *from; 2658 Vec bb1; 2659 const PetscScalar *b; 2660 2661 PetscFunctionBegin; 2662 PetscCheck(its > 0 && lits > 0, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Relaxation requires global its %" PetscInt_FMT " and local its %" PetscInt_FMT " both positive", its, lits); 2663 PetscCheck(bs <= 1, PETSC_COMM_SELF, PETSC_ERR_SUP, "SSOR for block size > 1 is not yet implemented"); 2664 2665 if (flag == SOR_APPLY_UPPER) { 2666 PetscCall((*mat->A->ops->sor)(mat->A, bb, omega, flag, fshift, lits, 1, xx)); 2667 PetscFunctionReturn(PETSC_SUCCESS); 2668 } 2669 2670 if ((flag & SOR_LOCAL_SYMMETRIC_SWEEP) == SOR_LOCAL_SYMMETRIC_SWEEP) { 2671 if (flag & SOR_ZERO_INITIAL_GUESS) { 2672 PetscCall((*mat->A->ops->sor)(mat->A, bb, omega, flag, fshift, lits, lits, xx)); 2673 its--; 2674 } 2675 2676 PetscCall(VecDuplicate(bb, &bb1)); 2677 while (its--) { 2678 /* lower triangular part: slvec0b = - B^T*xx */ 2679 PetscCall((*mat->B->ops->multtranspose)(mat->B, xx, mat->slvec0b)); 2680 2681 /* copy xx into slvec0a */ 2682 PetscCall(VecGetArray(mat->slvec0, &ptr)); 2683 PetscCall(VecGetArray(xx, &x)); 2684 PetscCall(PetscArraycpy(ptr, x, bs * mbs)); 2685 PetscCall(VecRestoreArray(mat->slvec0, &ptr)); 2686 2687 PetscCall(VecScale(mat->slvec0, -1.0)); 2688 2689 /* copy bb into slvec1a */ 2690 PetscCall(VecGetArray(mat->slvec1, &ptr)); 2691 PetscCall(VecGetArrayRead(bb, &b)); 2692 PetscCall(PetscArraycpy(ptr, b, bs * mbs)); 2693 PetscCall(VecRestoreArray(mat->slvec1, &ptr)); 2694 2695 /* set slvec1b = 0 */ 2696 PetscCall(PetscObjectStateIncrease((PetscObject)mat->slvec1b)); 2697 PetscCall(VecZeroEntries(mat->slvec1b)); 2698 2699 PetscCall(VecScatterBegin(mat->sMvctx, mat->slvec0, mat->slvec1, ADD_VALUES, SCATTER_FORWARD)); 2700 PetscCall(VecRestoreArray(xx, &x)); 2701 PetscCall(VecRestoreArrayRead(bb, &b)); 2702 PetscCall(VecScatterEnd(mat->sMvctx, mat->slvec0, mat->slvec1, ADD_VALUES, SCATTER_FORWARD)); 2703 2704 /* upper triangular part: bb1 = bb1 - B*x */ 2705 PetscCall((*mat->B->ops->multadd)(mat->B, mat->slvec1b, mat->slvec1a, bb1)); 2706 2707 /* local diagonal sweep */ 2708 PetscCall((*mat->A->ops->sor)(mat->A, bb1, omega, SOR_SYMMETRIC_SWEEP, fshift, lits, lits, xx)); 2709 } 2710 PetscCall(VecDestroy(&bb1)); 2711 } else if ((flag & SOR_LOCAL_FORWARD_SWEEP) && (its == 1) && (flag & SOR_ZERO_INITIAL_GUESS)) { 2712 PetscCall((*mat->A->ops->sor)(mat->A, bb, omega, flag, fshift, lits, 1, xx)); 2713 } else if ((flag & SOR_LOCAL_BACKWARD_SWEEP) && (its == 1) && (flag & SOR_ZERO_INITIAL_GUESS)) { 2714 PetscCall((*mat->A->ops->sor)(mat->A, bb, omega, flag, fshift, lits, 1, xx)); 2715 } else if (flag & SOR_EISENSTAT) { 2716 Vec xx1; 2717 PetscBool hasop; 2718 const PetscScalar *diag; 2719 PetscScalar *sl, scale = (omega - 2.0) / omega; 2720 PetscInt i, n; 2721 2722 if (!mat->xx1) { 2723 PetscCall(VecDuplicate(bb, &mat->xx1)); 2724 PetscCall(VecDuplicate(bb, &mat->bb1)); 2725 } 2726 xx1 = mat->xx1; 2727 bb1 = mat->bb1; 2728 2729 PetscCall((*mat->A->ops->sor)(mat->A, bb, omega, (MatSORType)(SOR_ZERO_INITIAL_GUESS | SOR_LOCAL_BACKWARD_SWEEP), fshift, lits, 1, xx)); 2730 2731 if (!mat->diag) { 2732 /* this is wrong for same matrix with new nonzero values */ 2733 PetscCall(MatCreateVecs(matin, &mat->diag, NULL)); 2734 PetscCall(MatGetDiagonal(matin, mat->diag)); 2735 } 2736 PetscCall(MatHasOperation(matin, MATOP_MULT_DIAGONAL_BLOCK, &hasop)); 2737 2738 if (hasop) { 2739 PetscCall(MatMultDiagonalBlock(matin, xx, bb1)); 2740 PetscCall(VecAYPX(mat->slvec1a, scale, bb)); 2741 } else { 2742 /* 2743 These two lines are replaced by code that may be a bit faster for a good compiler 2744 PetscCall(VecPointwiseMult(mat->slvec1a,mat->diag,xx)); 2745 PetscCall(VecAYPX(mat->slvec1a,scale,bb)); 2746 */ 2747 PetscCall(VecGetArray(mat->slvec1a, &sl)); 2748 PetscCall(VecGetArrayRead(mat->diag, &diag)); 2749 PetscCall(VecGetArrayRead(bb, &b)); 2750 PetscCall(VecGetArray(xx, &x)); 2751 PetscCall(VecGetLocalSize(xx, &n)); 2752 if (omega == 1.0) { 2753 for (i = 0; i < n; i++) sl[i] = b[i] - diag[i] * x[i]; 2754 PetscCall(PetscLogFlops(2.0 * n)); 2755 } else { 2756 for (i = 0; i < n; i++) sl[i] = b[i] + scale * diag[i] * x[i]; 2757 PetscCall(PetscLogFlops(3.0 * n)); 2758 } 2759 PetscCall(VecRestoreArray(mat->slvec1a, &sl)); 2760 PetscCall(VecRestoreArrayRead(mat->diag, &diag)); 2761 PetscCall(VecRestoreArrayRead(bb, &b)); 2762 PetscCall(VecRestoreArray(xx, &x)); 2763 } 2764 2765 /* multiply off-diagonal portion of matrix */ 2766 PetscCall(PetscObjectStateIncrease((PetscObject)mat->slvec1b)); 2767 PetscCall(VecZeroEntries(mat->slvec1b)); 2768 PetscCall((*mat->B->ops->multtranspose)(mat->B, xx, mat->slvec0b)); 2769 PetscCall(VecGetArray(mat->slvec0, &from)); 2770 PetscCall(VecGetArray(xx, &x)); 2771 PetscCall(PetscArraycpy(from, x, bs * mbs)); 2772 PetscCall(VecRestoreArray(mat->slvec0, &from)); 2773 PetscCall(VecRestoreArray(xx, &x)); 2774 PetscCall(VecScatterBegin(mat->sMvctx, mat->slvec0, mat->slvec1, ADD_VALUES, SCATTER_FORWARD)); 2775 PetscCall(VecScatterEnd(mat->sMvctx, mat->slvec0, mat->slvec1, ADD_VALUES, SCATTER_FORWARD)); 2776 PetscCall((*mat->B->ops->multadd)(mat->B, mat->slvec1b, mat->slvec1a, mat->slvec1a)); 2777 2778 /* local sweep */ 2779 PetscCall((*mat->A->ops->sor)(mat->A, mat->slvec1a, omega, (MatSORType)(SOR_ZERO_INITIAL_GUESS | SOR_LOCAL_FORWARD_SWEEP), fshift, lits, 1, xx1)); 2780 PetscCall(VecAXPY(xx, 1.0, xx1)); 2781 } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "MatSORType is not supported for SBAIJ matrix format"); 2782 PetscFunctionReturn(PETSC_SUCCESS); 2783 } 2784 2785 /*@ 2786 MatCreateMPISBAIJWithArrays - creates a `MATMPISBAIJ` matrix using arrays that contain in standard CSR format for the local rows. 2787 2788 Collective 2789 2790 Input Parameters: 2791 + comm - MPI communicator 2792 . bs - the block size, only a block size of 1 is supported 2793 . m - number of local rows (Cannot be `PETSC_DECIDE`) 2794 . n - This value should be the same as the local size used in creating the 2795 x vector for the matrix-vector product $ y = Ax $. (or `PETSC_DECIDE` to have 2796 calculated if `N` is given) For square matrices `n` is almost always `m`. 2797 . M - number of global rows (or `PETSC_DETERMINE` to have calculated if `m` is given) 2798 . N - number of global columns (or `PETSC_DETERMINE` to have calculated if `n` is given) 2799 . i - row indices; that is i[0] = 0, i[row] = i[row-1] + number of block elements in that row block row of the matrix 2800 . j - column indices 2801 - a - matrix values 2802 2803 Output Parameter: 2804 . mat - the matrix 2805 2806 Level: intermediate 2807 2808 Notes: 2809 The `i`, `j`, and `a` arrays ARE copied by this routine into the internal format used by PETSc; 2810 thus you CANNOT change the matrix entries by changing the values of `a` after you have 2811 called this routine. Use `MatCreateMPIAIJWithSplitArrays()` to avoid needing to copy the arrays. 2812 2813 The `i` and `j` indices are 0 based, and `i` indices are indices corresponding to the local `j` array. 2814 2815 .seealso: [](ch_matrices), `Mat`, `MATMPISBAIJ`, `MatCreate()`, `MatCreateSeqAIJ()`, `MatSetValues()`, `MatMPIAIJSetPreallocation()`, `MatMPIAIJSetPreallocationCSR()`, 2816 `MATMPIAIJ`, `MatCreateAIJ()`, `MatCreateMPIAIJWithSplitArrays()`, `MatMPISBAIJSetPreallocationCSR()` 2817 @*/ 2818 PetscErrorCode MatCreateMPISBAIJWithArrays(MPI_Comm comm, PetscInt bs, PetscInt m, PetscInt n, PetscInt M, PetscInt N, const PetscInt i[], const PetscInt j[], const PetscScalar a[], Mat *mat) 2819 { 2820 PetscFunctionBegin; 2821 PetscCheck(!i[0], PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "i (row indices) must start with 0"); 2822 PetscCheck(m >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "local number of rows (m) cannot be PETSC_DECIDE, or negative"); 2823 PetscCall(MatCreate(comm, mat)); 2824 PetscCall(MatSetSizes(*mat, m, n, M, N)); 2825 PetscCall(MatSetType(*mat, MATMPISBAIJ)); 2826 PetscCall(MatMPISBAIJSetPreallocationCSR(*mat, bs, i, j, a)); 2827 PetscFunctionReturn(PETSC_SUCCESS); 2828 } 2829 2830 /*@C 2831 MatMPISBAIJSetPreallocationCSR - Creates a sparse parallel matrix in `MATMPISBAIJ` format using the given nonzero structure and (optional) numerical values 2832 2833 Collective 2834 2835 Input Parameters: 2836 + B - the matrix 2837 . bs - the block size 2838 . i - the indices into `j` for the start of each local row (indices start with zero) 2839 . j - the column indices for each local row (indices start with zero) these must be sorted for each row 2840 - v - optional values in the matrix, pass `NULL` if not provided 2841 2842 Level: advanced 2843 2844 Notes: 2845 The `i`, `j`, and `v` arrays ARE copied by this routine into the internal format used by PETSc; 2846 thus you CANNOT change the matrix entries by changing the values of `v` after you have 2847 called this routine. 2848 2849 Though this routine has Preallocation() in the name it also sets the exact nonzero locations of the matrix entries 2850 and usually the numerical values as well 2851 2852 Any entries passed in that are below the diagonal are ignored 2853 2854 .seealso: [](ch_matrices), `Mat`, `MATMPISBAIJ`, `MatCreate()`, `MatCreateSeqAIJ()`, `MatSetValues()`, `MatMPIBAIJSetPreallocation()`, `MatCreateAIJ()`, `MATMPIAIJ`, 2855 `MatCreateMPISBAIJWithArrays()` 2856 @*/ 2857 PetscErrorCode MatMPISBAIJSetPreallocationCSR(Mat B, PetscInt bs, const PetscInt i[], const PetscInt j[], const PetscScalar v[]) 2858 { 2859 PetscFunctionBegin; 2860 PetscTryMethod(B, "MatMPISBAIJSetPreallocationCSR_C", (Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]), (B, bs, i, j, v)); 2861 PetscFunctionReturn(PETSC_SUCCESS); 2862 } 2863 2864 PetscErrorCode MatCreateMPIMatConcatenateSeqMat_MPISBAIJ(MPI_Comm comm, Mat inmat, PetscInt n, MatReuse scall, Mat *outmat) 2865 { 2866 PetscInt m, N, i, rstart, nnz, Ii, bs, cbs; 2867 PetscInt *indx; 2868 PetscScalar *values; 2869 2870 PetscFunctionBegin; 2871 PetscCall(MatGetSize(inmat, &m, &N)); 2872 if (scall == MAT_INITIAL_MATRIX) { /* symbolic phase */ 2873 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)inmat->data; 2874 PetscInt *dnz, *onz, mbs, Nbs, nbs; 2875 PetscInt *bindx, rmax = a->rmax, j; 2876 PetscMPIInt rank, size; 2877 2878 PetscCall(MatGetBlockSizes(inmat, &bs, &cbs)); 2879 mbs = m / bs; 2880 Nbs = N / cbs; 2881 if (n == PETSC_DECIDE) PetscCall(PetscSplitOwnershipBlock(comm, cbs, &n, &N)); 2882 nbs = n / cbs; 2883 2884 PetscCall(PetscMalloc1(rmax, &bindx)); 2885 MatPreallocateBegin(comm, mbs, nbs, dnz, onz); /* inline function, output __end and __rstart are used below */ 2886 2887 PetscCallMPI(MPI_Comm_rank(comm, &rank)); 2888 PetscCallMPI(MPI_Comm_rank(comm, &size)); 2889 if (rank == size - 1) { 2890 /* Check sum(nbs) = Nbs */ 2891 PetscCheck(__end == Nbs, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "Sum of local block columns %" PetscInt_FMT " != global block columns %" PetscInt_FMT, __end, Nbs); 2892 } 2893 2894 rstart = __rstart; /* block rstart of *outmat; see inline function MatPreallocateBegin */ 2895 PetscCall(MatSetOption(inmat, MAT_GETROW_UPPERTRIANGULAR, PETSC_TRUE)); 2896 for (i = 0; i < mbs; i++) { 2897 PetscCall(MatGetRow_SeqSBAIJ(inmat, i * bs, &nnz, &indx, NULL)); /* non-blocked nnz and indx */ 2898 nnz = nnz / bs; 2899 for (j = 0; j < nnz; j++) bindx[j] = indx[j * bs] / bs; 2900 PetscCall(MatPreallocateSet(i + rstart, nnz, bindx, dnz, onz)); 2901 PetscCall(MatRestoreRow_SeqSBAIJ(inmat, i * bs, &nnz, &indx, NULL)); 2902 } 2903 PetscCall(MatSetOption(inmat, MAT_GETROW_UPPERTRIANGULAR, PETSC_FALSE)); 2904 PetscCall(PetscFree(bindx)); 2905 2906 PetscCall(MatCreate(comm, outmat)); 2907 PetscCall(MatSetSizes(*outmat, m, n, PETSC_DETERMINE, PETSC_DETERMINE)); 2908 PetscCall(MatSetBlockSizes(*outmat, bs, cbs)); 2909 PetscCall(MatSetType(*outmat, MATSBAIJ)); 2910 PetscCall(MatSeqSBAIJSetPreallocation(*outmat, bs, 0, dnz)); 2911 PetscCall(MatMPISBAIJSetPreallocation(*outmat, bs, 0, dnz, 0, onz)); 2912 MatPreallocateEnd(dnz, onz); 2913 } 2914 2915 /* numeric phase */ 2916 PetscCall(MatGetBlockSizes(inmat, &bs, &cbs)); 2917 PetscCall(MatGetOwnershipRange(*outmat, &rstart, NULL)); 2918 2919 PetscCall(MatSetOption(inmat, MAT_GETROW_UPPERTRIANGULAR, PETSC_TRUE)); 2920 for (i = 0; i < m; i++) { 2921 PetscCall(MatGetRow_SeqSBAIJ(inmat, i, &nnz, &indx, &values)); 2922 Ii = i + rstart; 2923 PetscCall(MatSetValues(*outmat, 1, &Ii, nnz, indx, values, INSERT_VALUES)); 2924 PetscCall(MatRestoreRow_SeqSBAIJ(inmat, i, &nnz, &indx, &values)); 2925 } 2926 PetscCall(MatSetOption(inmat, MAT_GETROW_UPPERTRIANGULAR, PETSC_FALSE)); 2927 PetscCall(MatAssemblyBegin(*outmat, MAT_FINAL_ASSEMBLY)); 2928 PetscCall(MatAssemblyEnd(*outmat, MAT_FINAL_ASSEMBLY)); 2929 PetscFunctionReturn(PETSC_SUCCESS); 2930 } 2931