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