1 /* 2 Basic functions for basic parallel dense matrices. 3 Portions of this code are under: 4 Copyright (c) 2022 Advanced Micro Devices, Inc. All rights reserved. 5 */ 6 7 #include <../src/mat/impls/dense/mpi/mpidense.h> /*I "petscmat.h" I*/ 8 #include <../src/mat/impls/aij/mpi/mpiaij.h> 9 #include <petscblaslapack.h> 10 #include <petsc/private/vecimpl.h> 11 12 /*@ 13 MatDenseGetLocalMatrix - For a `MATMPIDENSE` or `MATSEQDENSE` matrix returns the sequential 14 matrix that represents the operator. For sequential matrices it returns itself. 15 16 Input Parameter: 17 . A - the sequential or MPI `MATDENSE` matrix 18 19 Output Parameter: 20 . B - the inner matrix 21 22 Level: intermediate 23 24 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATMPIDENSE`, `MATSEQDENSE` 25 @*/ 26 PetscErrorCode MatDenseGetLocalMatrix(Mat A, Mat *B) 27 { 28 Mat_MPIDense *mat = (Mat_MPIDense *)A->data; 29 PetscBool flg; 30 31 PetscFunctionBegin; 32 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 33 PetscAssertPointer(B, 2); 34 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &flg)); 35 if (flg) *B = mat->A; 36 else { 37 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATSEQDENSE, &flg)); 38 PetscCheck(flg, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Not for matrix type %s", ((PetscObject)A)->type_name); 39 *B = A; 40 } 41 PetscFunctionReturn(PETSC_SUCCESS); 42 } 43 44 static PetscErrorCode MatCopy_MPIDense(Mat A, Mat B, MatStructure s) 45 { 46 Mat_MPIDense *Amat = (Mat_MPIDense *)A->data; 47 Mat_MPIDense *Bmat = (Mat_MPIDense *)B->data; 48 49 PetscFunctionBegin; 50 PetscCall(MatCopy(Amat->A, Bmat->A, s)); 51 PetscFunctionReturn(PETSC_SUCCESS); 52 } 53 54 PetscErrorCode MatShift_MPIDense(Mat A, PetscScalar alpha) 55 { 56 Mat_MPIDense *mat = (Mat_MPIDense *)A->data; 57 PetscInt j, lda, rstart = A->rmap->rstart, rend = A->rmap->rend, rend2; 58 PetscScalar *v; 59 60 PetscFunctionBegin; 61 PetscCall(MatDenseGetArray(mat->A, &v)); 62 PetscCall(MatDenseGetLDA(mat->A, &lda)); 63 rend2 = PetscMin(rend, A->cmap->N); 64 if (rend2 > rstart) { 65 for (j = rstart; j < rend2; j++) v[j - rstart + j * lda] += alpha; 66 PetscCall(PetscLogFlops(rend2 - rstart)); 67 } 68 PetscCall(MatDenseRestoreArray(mat->A, &v)); 69 PetscFunctionReturn(PETSC_SUCCESS); 70 } 71 72 static PetscErrorCode MatGetRow_MPIDense(Mat A, PetscInt row, PetscInt *nz, PetscInt **idx, PetscScalar **v) 73 { 74 Mat_MPIDense *mat = (Mat_MPIDense *)A->data; 75 PetscInt lrow, rstart = A->rmap->rstart, rend = A->rmap->rend; 76 77 PetscFunctionBegin; 78 PetscCheck(row >= rstart && row < rend, PETSC_COMM_SELF, PETSC_ERR_SUP, "only local rows"); 79 lrow = row - rstart; 80 PetscCall(MatGetRow(mat->A, lrow, nz, (const PetscInt **)idx, (const PetscScalar **)v)); 81 PetscFunctionReturn(PETSC_SUCCESS); 82 } 83 84 static PetscErrorCode MatRestoreRow_MPIDense(Mat A, PetscInt row, PetscInt *nz, PetscInt **idx, PetscScalar **v) 85 { 86 Mat_MPIDense *mat = (Mat_MPIDense *)A->data; 87 PetscInt lrow, rstart = A->rmap->rstart, rend = A->rmap->rend; 88 89 PetscFunctionBegin; 90 PetscCheck(row >= rstart && row < rend, PETSC_COMM_SELF, PETSC_ERR_SUP, "only local rows"); 91 lrow = row - rstart; 92 PetscCall(MatRestoreRow(mat->A, lrow, nz, (const PetscInt **)idx, (const PetscScalar **)v)); 93 PetscFunctionReturn(PETSC_SUCCESS); 94 } 95 96 static PetscErrorCode MatGetDiagonalBlock_MPIDense(Mat A, Mat *a) 97 { 98 Mat_MPIDense *mdn = (Mat_MPIDense *)A->data; 99 PetscInt m = A->rmap->n, rstart = A->rmap->rstart; 100 PetscScalar *array; 101 MPI_Comm comm; 102 PetscBool flg; 103 Mat B; 104 105 PetscFunctionBegin; 106 PetscCall(MatHasCongruentLayouts(A, &flg)); 107 PetscCheck(flg, PETSC_COMM_SELF, PETSC_ERR_SUP, "Only square matrices supported."); 108 PetscCall(PetscObjectQuery((PetscObject)A, "DiagonalBlock", (PetscObject *)&B)); 109 if (!B) { /* This should use MatDenseGetSubMatrix (not create), but we would need a call like MatRestoreDiagonalBlock */ 110 #if PetscDefined(HAVE_CUDA) 111 PetscCall(PetscObjectTypeCompare((PetscObject)mdn->A, MATSEQDENSECUDA, &flg)); 112 PetscCheck(!flg, PETSC_COMM_SELF, PETSC_ERR_SUP, "Not coded for %s. Send an email to petsc-dev@mcs.anl.gov to request this feature", MATSEQDENSECUDA); 113 #elif PetscDefined(HAVE_HIP) 114 PetscCall(PetscObjectTypeCompare((PetscObject)mdn->A, MATSEQDENSEHIP, &flg)); 115 PetscCheck(!flg, PETSC_COMM_SELF, PETSC_ERR_SUP, "Not coded for %s. Send an email to petsc-dev@mcs.anl.gov to request this feature", MATSEQDENSEHIP); 116 #endif 117 PetscCall(PetscObjectGetComm((PetscObject)mdn->A, &comm)); 118 PetscCall(MatCreate(comm, &B)); 119 PetscCall(MatSetSizes(B, m, m, m, m)); 120 PetscCall(MatSetType(B, ((PetscObject)mdn->A)->type_name)); 121 PetscCall(MatDenseGetArrayRead(mdn->A, (const PetscScalar **)&array)); 122 PetscCall(MatSeqDenseSetPreallocation(B, array + m * rstart)); 123 PetscCall(MatDenseRestoreArrayRead(mdn->A, (const PetscScalar **)&array)); 124 PetscCall(PetscObjectCompose((PetscObject)A, "DiagonalBlock", (PetscObject)B)); 125 *a = B; 126 PetscCall(MatDestroy(&B)); 127 } else *a = B; 128 PetscFunctionReturn(PETSC_SUCCESS); 129 } 130 131 static PetscErrorCode MatSetValues_MPIDense(Mat mat, PetscInt m, const PetscInt idxm[], PetscInt n, const PetscInt idxn[], const PetscScalar v[], InsertMode addv) 132 { 133 Mat_MPIDense *A = (Mat_MPIDense *)mat->data; 134 PetscInt i, j, rstart = mat->rmap->rstart, rend = mat->rmap->rend, row; 135 PetscBool roworiented = A->roworiented; 136 137 PetscFunctionBegin; 138 for (i = 0; i < m; i++) { 139 if (idxm[i] < 0) continue; 140 PetscCheck(idxm[i] < mat->rmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Row too large"); 141 if (idxm[i] >= rstart && idxm[i] < rend) { 142 row = idxm[i] - rstart; 143 if (roworiented) { 144 PetscCall(MatSetValues(A->A, 1, &row, n, idxn, PetscSafePointerPlusOffset(v, i * n), addv)); 145 } else { 146 for (j = 0; j < n; j++) { 147 if (idxn[j] < 0) continue; 148 PetscCheck(idxn[j] < mat->cmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Column too large"); 149 PetscCall(MatSetValues(A->A, 1, &row, 1, &idxn[j], PetscSafePointerPlusOffset(v, i + j * m), addv)); 150 } 151 } 152 } else if (!A->donotstash) { 153 mat->assembled = PETSC_FALSE; 154 if (roworiented) { 155 PetscCall(MatStashValuesRow_Private(&mat->stash, idxm[i], n, idxn, PetscSafePointerPlusOffset(v, i * n), PETSC_FALSE)); 156 } else { 157 PetscCall(MatStashValuesCol_Private(&mat->stash, idxm[i], n, idxn, PetscSafePointerPlusOffset(v, i), m, PETSC_FALSE)); 158 } 159 } 160 } 161 PetscFunctionReturn(PETSC_SUCCESS); 162 } 163 164 static PetscErrorCode MatGetValues_MPIDense(Mat mat, PetscInt m, const PetscInt idxm[], PetscInt n, const PetscInt idxn[], PetscScalar v[]) 165 { 166 Mat_MPIDense *mdn = (Mat_MPIDense *)mat->data; 167 PetscInt i, j, rstart = mat->rmap->rstart, rend = mat->rmap->rend, row; 168 169 PetscFunctionBegin; 170 for (i = 0; i < m; i++) { 171 if (idxm[i] < 0) continue; /* negative row */ 172 PetscCheck(idxm[i] < mat->rmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Row too large"); 173 if (idxm[i] >= rstart && idxm[i] < rend) { 174 row = idxm[i] - rstart; 175 for (j = 0; j < n; j++) { 176 if (idxn[j] < 0) continue; /* negative column */ 177 PetscCheck(idxn[j] < mat->cmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Column too large"); 178 PetscCall(MatGetValues(mdn->A, 1, &row, 1, &idxn[j], v + i * n + j)); 179 } 180 } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "Only local values currently supported"); 181 } 182 PetscFunctionReturn(PETSC_SUCCESS); 183 } 184 185 static PetscErrorCode MatDenseGetLDA_MPIDense(Mat A, PetscInt *lda) 186 { 187 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 188 189 PetscFunctionBegin; 190 PetscCall(MatDenseGetLDA(a->A, lda)); 191 PetscFunctionReturn(PETSC_SUCCESS); 192 } 193 194 static PetscErrorCode MatDenseSetLDA_MPIDense(Mat A, PetscInt lda) 195 { 196 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 197 MatType mtype = MATSEQDENSE; 198 199 PetscFunctionBegin; 200 if (!a->A) { 201 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 202 PetscCall(PetscLayoutSetUp(A->rmap)); 203 PetscCall(PetscLayoutSetUp(A->cmap)); 204 PetscCall(MatCreate(PETSC_COMM_SELF, &a->A)); 205 PetscCall(MatSetSizes(a->A, A->rmap->n, A->cmap->N, A->rmap->n, A->cmap->N)); 206 #if PetscDefined(HAVE_CUDA) 207 PetscBool iscuda; 208 PetscCall(PetscObjectTypeCompare((PetscObject)A, MATMPIDENSECUDA, &iscuda)); 209 if (iscuda) mtype = MATSEQDENSECUDA; 210 #elif PetscDefined(HAVE_HIP) 211 PetscBool iship; 212 PetscCall(PetscObjectTypeCompare((PetscObject)A, MATMPIDENSEHIP, &iship)); 213 if (iship) mtype = MATSEQDENSEHIP; 214 #endif 215 PetscCall(MatSetType(a->A, mtype)); 216 } 217 PetscCall(MatDenseSetLDA(a->A, lda)); 218 PetscFunctionReturn(PETSC_SUCCESS); 219 } 220 221 static PetscErrorCode MatDenseGetArray_MPIDense(Mat A, PetscScalar **array) 222 { 223 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 224 225 PetscFunctionBegin; 226 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 227 PetscCall(MatDenseGetArray(a->A, array)); 228 PetscFunctionReturn(PETSC_SUCCESS); 229 } 230 231 static PetscErrorCode MatDenseGetArrayRead_MPIDense(Mat A, PetscScalar **array) 232 { 233 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 234 235 PetscFunctionBegin; 236 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 237 PetscCall(MatDenseGetArrayRead(a->A, (const PetscScalar **)array)); 238 PetscFunctionReturn(PETSC_SUCCESS); 239 } 240 241 static PetscErrorCode MatDenseGetArrayWrite_MPIDense(Mat A, PetscScalar **array) 242 { 243 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 244 245 PetscFunctionBegin; 246 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 247 PetscCall(MatDenseGetArrayWrite(a->A, array)); 248 PetscFunctionReturn(PETSC_SUCCESS); 249 } 250 251 static PetscErrorCode MatDensePlaceArray_MPIDense(Mat A, const PetscScalar *array) 252 { 253 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 254 255 PetscFunctionBegin; 256 PetscCheck(!a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 257 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 258 PetscCall(MatDensePlaceArray(a->A, array)); 259 PetscFunctionReturn(PETSC_SUCCESS); 260 } 261 262 static PetscErrorCode MatDenseResetArray_MPIDense(Mat A) 263 { 264 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 265 266 PetscFunctionBegin; 267 PetscCheck(!a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 268 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 269 PetscCall(MatDenseResetArray(a->A)); 270 PetscFunctionReturn(PETSC_SUCCESS); 271 } 272 273 static PetscErrorCode MatDenseReplaceArray_MPIDense(Mat A, const PetscScalar *array) 274 { 275 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 276 277 PetscFunctionBegin; 278 PetscCheck(!a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 279 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 280 PetscCall(MatDenseReplaceArray(a->A, array)); 281 PetscFunctionReturn(PETSC_SUCCESS); 282 } 283 284 static PetscErrorCode MatCreateSubMatrix_MPIDense(Mat A, IS isrow, IS iscol, MatReuse scall, Mat *B) 285 { 286 Mat_MPIDense *mat = (Mat_MPIDense *)A->data, *newmatd; 287 PetscInt lda, i, j, rstart, rend, nrows, ncols, Ncols, nlrows, nlcols; 288 const PetscInt *irow, *icol; 289 const PetscScalar *v; 290 PetscScalar *bv; 291 Mat newmat; 292 IS iscol_local; 293 MPI_Comm comm_is, comm_mat; 294 295 PetscFunctionBegin; 296 PetscCall(PetscObjectGetComm((PetscObject)A, &comm_mat)); 297 PetscCall(PetscObjectGetComm((PetscObject)iscol, &comm_is)); 298 PetscCheck(comm_mat == comm_is, PETSC_COMM_SELF, PETSC_ERR_ARG_NOTSAMECOMM, "IS communicator must match matrix communicator"); 299 300 PetscCall(ISAllGather(iscol, &iscol_local)); 301 PetscCall(ISGetIndices(isrow, &irow)); 302 PetscCall(ISGetIndices(iscol_local, &icol)); 303 PetscCall(ISGetLocalSize(isrow, &nrows)); 304 PetscCall(ISGetLocalSize(iscol, &ncols)); 305 PetscCall(ISGetSize(iscol, &Ncols)); /* global number of columns, size of iscol_local */ 306 307 /* No parallel redistribution currently supported! Should really check each index set 308 to confirm that it is OK. ... Currently supports only submatrix same partitioning as 309 original matrix! */ 310 311 PetscCall(MatGetLocalSize(A, &nlrows, &nlcols)); 312 PetscCall(MatGetOwnershipRange(A, &rstart, &rend)); 313 314 /* Check submatrix call */ 315 if (scall == MAT_REUSE_MATRIX) { 316 /* SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Reused submatrix wrong size"); */ 317 /* Really need to test rows and column sizes! */ 318 newmat = *B; 319 } else { 320 /* Create and fill new matrix */ 321 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &newmat)); 322 PetscCall(MatSetSizes(newmat, nrows, ncols, PETSC_DECIDE, Ncols)); 323 PetscCall(MatSetType(newmat, ((PetscObject)A)->type_name)); 324 PetscCall(MatMPIDenseSetPreallocation(newmat, NULL)); 325 } 326 327 /* Now extract the data pointers and do the copy, column at a time */ 328 newmatd = (Mat_MPIDense *)newmat->data; 329 PetscCall(MatDenseGetArray(newmatd->A, &bv)); 330 PetscCall(MatDenseGetArrayRead(mat->A, &v)); 331 PetscCall(MatDenseGetLDA(mat->A, &lda)); 332 for (i = 0; i < Ncols; i++) { 333 const PetscScalar *av = v + lda * icol[i]; 334 for (j = 0; j < nrows; j++) *bv++ = av[irow[j] - rstart]; 335 } 336 PetscCall(MatDenseRestoreArrayRead(mat->A, &v)); 337 PetscCall(MatDenseRestoreArray(newmatd->A, &bv)); 338 339 /* Assemble the matrices so that the correct flags are set */ 340 PetscCall(MatAssemblyBegin(newmat, MAT_FINAL_ASSEMBLY)); 341 PetscCall(MatAssemblyEnd(newmat, MAT_FINAL_ASSEMBLY)); 342 343 /* Free work space */ 344 PetscCall(ISRestoreIndices(isrow, &irow)); 345 PetscCall(ISRestoreIndices(iscol_local, &icol)); 346 PetscCall(ISDestroy(&iscol_local)); 347 *B = newmat; 348 PetscFunctionReturn(PETSC_SUCCESS); 349 } 350 351 static PetscErrorCode MatDenseRestoreArray_MPIDense(Mat A, PetscScalar **array) 352 { 353 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 354 355 PetscFunctionBegin; 356 PetscCall(MatDenseRestoreArray(a->A, array)); 357 PetscFunctionReturn(PETSC_SUCCESS); 358 } 359 360 static PetscErrorCode MatDenseRestoreArrayRead_MPIDense(Mat A, PetscScalar **array) 361 { 362 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 363 364 PetscFunctionBegin; 365 PetscCall(MatDenseRestoreArrayRead(a->A, (const PetscScalar **)array)); 366 PetscFunctionReturn(PETSC_SUCCESS); 367 } 368 369 static PetscErrorCode MatDenseRestoreArrayWrite_MPIDense(Mat A, PetscScalar **array) 370 { 371 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 372 373 PetscFunctionBegin; 374 PetscCall(MatDenseRestoreArrayWrite(a->A, array)); 375 PetscFunctionReturn(PETSC_SUCCESS); 376 } 377 378 static PetscErrorCode MatAssemblyBegin_MPIDense(Mat mat, MatAssemblyType mode) 379 { 380 Mat_MPIDense *mdn = (Mat_MPIDense *)mat->data; 381 PetscInt nstash, reallocs; 382 383 PetscFunctionBegin; 384 if (mdn->donotstash || mat->nooffprocentries) PetscFunctionReturn(PETSC_SUCCESS); 385 386 PetscCall(MatStashScatterBegin_Private(mat, &mat->stash, mat->rmap->range)); 387 PetscCall(MatStashGetInfo_Private(&mat->stash, &nstash, &reallocs)); 388 PetscCall(PetscInfo(mdn->A, "Stash has %" PetscInt_FMT " entries, uses %" PetscInt_FMT " mallocs.\n", nstash, reallocs)); 389 PetscFunctionReturn(PETSC_SUCCESS); 390 } 391 392 static PetscErrorCode MatAssemblyEnd_MPIDense(Mat mat, MatAssemblyType mode) 393 { 394 Mat_MPIDense *mdn = (Mat_MPIDense *)mat->data; 395 PetscInt i, *row, *col, flg, j, rstart, ncols; 396 PetscMPIInt n; 397 PetscScalar *val; 398 399 PetscFunctionBegin; 400 if (!mdn->donotstash && !mat->nooffprocentries) { 401 /* wait on receives */ 402 while (1) { 403 PetscCall(MatStashScatterGetMesg_Private(&mat->stash, &n, &row, &col, &val, &flg)); 404 if (!flg) break; 405 406 for (i = 0; i < n;) { 407 /* Now identify the consecutive vals belonging to the same row */ 408 for (j = i, rstart = row[j]; j < n; j++) { 409 if (row[j] != rstart) break; 410 } 411 if (j < n) ncols = j - i; 412 else ncols = n - i; 413 /* Now assemble all these values with a single function call */ 414 PetscCall(MatSetValues_MPIDense(mat, 1, row + i, ncols, col + i, val + i, mat->insertmode)); 415 i = j; 416 } 417 } 418 PetscCall(MatStashScatterEnd_Private(&mat->stash)); 419 } 420 421 PetscCall(MatAssemblyBegin(mdn->A, mode)); 422 PetscCall(MatAssemblyEnd(mdn->A, mode)); 423 PetscFunctionReturn(PETSC_SUCCESS); 424 } 425 426 static PetscErrorCode MatZeroEntries_MPIDense(Mat A) 427 { 428 Mat_MPIDense *l = (Mat_MPIDense *)A->data; 429 430 PetscFunctionBegin; 431 PetscCall(MatZeroEntries(l->A)); 432 PetscFunctionReturn(PETSC_SUCCESS); 433 } 434 435 static PetscErrorCode MatZeroRows_MPIDense(Mat A, PetscInt n, const PetscInt rows[], PetscScalar diag, Vec x, Vec b) 436 { 437 Mat_MPIDense *l = (Mat_MPIDense *)A->data; 438 PetscInt i, len, *lrows; 439 440 PetscFunctionBegin; 441 /* get locally owned rows */ 442 PetscCall(PetscLayoutMapLocal(A->rmap, n, rows, &len, &lrows, NULL)); 443 /* fix right-hand side if needed */ 444 if (x && b) { 445 const PetscScalar *xx; 446 PetscScalar *bb; 447 448 PetscCall(VecGetArrayRead(x, &xx)); 449 PetscCall(VecGetArrayWrite(b, &bb)); 450 for (i = 0; i < len; ++i) bb[lrows[i]] = diag * xx[lrows[i]]; 451 PetscCall(VecRestoreArrayRead(x, &xx)); 452 PetscCall(VecRestoreArrayWrite(b, &bb)); 453 } 454 PetscCall(MatZeroRows(l->A, len, lrows, 0.0, NULL, NULL)); 455 if (diag != 0.0) { 456 Vec d; 457 458 PetscCall(MatCreateVecs(A, NULL, &d)); 459 PetscCall(VecSet(d, diag)); 460 PetscCall(MatDiagonalSet(A, d, INSERT_VALUES)); 461 PetscCall(VecDestroy(&d)); 462 } 463 PetscCall(PetscFree(lrows)); 464 PetscFunctionReturn(PETSC_SUCCESS); 465 } 466 467 PETSC_INTERN PetscErrorCode MatMult_SeqDense(Mat, Vec, Vec); 468 PETSC_INTERN PetscErrorCode MatMultAdd_SeqDense(Mat, Vec, Vec, Vec); 469 PETSC_INTERN PetscErrorCode MatMultTranspose_SeqDense(Mat, Vec, Vec); 470 PETSC_INTERN PetscErrorCode MatMultTransposeAdd_SeqDense(Mat, Vec, Vec, Vec); 471 472 static PetscErrorCode MatMult_MPIDense(Mat mat, Vec xx, Vec yy) 473 { 474 Mat_MPIDense *mdn = (Mat_MPIDense *)mat->data; 475 const PetscScalar *ax; 476 PetscScalar *ay; 477 PetscMemType axmtype, aymtype; 478 479 PetscFunctionBegin; 480 if (!mdn->Mvctx) PetscCall(MatSetUpMultiply_MPIDense(mat)); 481 PetscCall(VecGetArrayReadAndMemType(xx, &ax, &axmtype)); 482 PetscCall(VecGetArrayAndMemType(mdn->lvec, &ay, &aymtype)); 483 PetscCall(PetscSFBcastWithMemTypeBegin(mdn->Mvctx, MPIU_SCALAR, axmtype, ax, aymtype, ay, MPI_REPLACE)); 484 PetscCall(PetscSFBcastEnd(mdn->Mvctx, MPIU_SCALAR, ax, ay, MPI_REPLACE)); 485 PetscCall(VecRestoreArrayAndMemType(mdn->lvec, &ay)); 486 PetscCall(VecRestoreArrayReadAndMemType(xx, &ax)); 487 PetscCall((*mdn->A->ops->mult)(mdn->A, mdn->lvec, yy)); 488 PetscFunctionReturn(PETSC_SUCCESS); 489 } 490 491 static PetscErrorCode MatMultAddColumnRange_MPIDense(Mat mat, Vec xx, Vec yy, Vec zz, PetscInt c_start, PetscInt c_end) 492 { 493 Mat_MPIDense *mdn = (Mat_MPIDense *)mat->data; 494 const PetscScalar *ax; 495 PetscScalar *ay; 496 PetscMemType axmtype, aymtype; 497 498 PetscFunctionBegin; 499 if (!mdn->Mvctx) PetscCall(MatSetUpMultiply_MPIDense(mat)); 500 PetscCall(VecGetArrayReadAndMemType(xx, &ax, &axmtype)); 501 PetscCall(VecGetArrayAndMemType(mdn->lvec, &ay, &aymtype)); 502 PetscCall(PetscSFBcastWithMemTypeBegin(mdn->Mvctx, MPIU_SCALAR, axmtype, ax, aymtype, ay, MPI_REPLACE)); 503 PetscCall(PetscSFBcastEnd(mdn->Mvctx, MPIU_SCALAR, ax, ay, MPI_REPLACE)); 504 PetscCall(VecRestoreArrayAndMemType(mdn->lvec, &ay)); 505 PetscCall(VecRestoreArrayReadAndMemType(xx, &ax)); 506 PetscUseMethod(mdn->A, "MatMultAddColumnRange_C", (Mat, Vec, Vec, Vec, PetscInt, PetscInt), (mdn->A, mdn->lvec, yy, zz, c_start, c_end)); 507 PetscFunctionReturn(PETSC_SUCCESS); 508 } 509 510 static PetscErrorCode MatMultAdd_MPIDense(Mat mat, Vec xx, Vec yy, Vec zz) 511 { 512 Mat_MPIDense *mdn = (Mat_MPIDense *)mat->data; 513 const PetscScalar *ax; 514 PetscScalar *ay; 515 PetscMemType axmtype, aymtype; 516 517 PetscFunctionBegin; 518 if (!mdn->Mvctx) PetscCall(MatSetUpMultiply_MPIDense(mat)); 519 PetscCall(VecGetArrayReadAndMemType(xx, &ax, &axmtype)); 520 PetscCall(VecGetArrayAndMemType(mdn->lvec, &ay, &aymtype)); 521 PetscCall(PetscSFBcastWithMemTypeBegin(mdn->Mvctx, MPIU_SCALAR, axmtype, ax, aymtype, ay, MPI_REPLACE)); 522 PetscCall(PetscSFBcastEnd(mdn->Mvctx, MPIU_SCALAR, ax, ay, MPI_REPLACE)); 523 PetscCall(VecRestoreArrayAndMemType(mdn->lvec, &ay)); 524 PetscCall(VecRestoreArrayReadAndMemType(xx, &ax)); 525 PetscCall((*mdn->A->ops->multadd)(mdn->A, mdn->lvec, yy, zz)); 526 PetscFunctionReturn(PETSC_SUCCESS); 527 } 528 529 static PetscErrorCode MatMultHermitianTransposeColumnRange_MPIDense(Mat A, Vec xx, Vec yy, PetscInt c_start, PetscInt c_end) 530 { 531 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 532 const PetscScalar *ax; 533 PetscScalar *ay; 534 PetscMemType axmtype, aymtype; 535 536 PetscFunctionBegin; 537 if (!a->Mvctx) PetscCall(MatSetUpMultiply_MPIDense(A)); 538 PetscCall(VecSet(yy, 0.0)); 539 PetscUseMethod(a->A, "MatMultHermitianTransposeColumnRange_C", (Mat, Vec, Vec, PetscInt, PetscInt), (a->A, xx, a->lvec, c_start, c_end)); 540 PetscCall(VecGetArrayReadAndMemType(a->lvec, &ax, &axmtype)); 541 PetscCall(VecGetArrayAndMemType(yy, &ay, &aymtype)); 542 PetscCall(PetscSFReduceWithMemTypeBegin(a->Mvctx, MPIU_SCALAR, axmtype, ax, aymtype, ay, MPIU_SUM)); 543 PetscCall(PetscSFReduceEnd(a->Mvctx, MPIU_SCALAR, ax, ay, MPIU_SUM)); 544 PetscCall(VecRestoreArrayReadAndMemType(a->lvec, &ax)); 545 PetscCall(VecRestoreArrayAndMemType(yy, &ay)); 546 PetscFunctionReturn(PETSC_SUCCESS); 547 } 548 549 static PetscErrorCode MatMultTransposeKernel_MPIDense(Mat A, Vec xx, Vec yy, PetscBool herm) 550 { 551 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 552 const PetscScalar *ax; 553 PetscScalar *ay; 554 PetscMemType axmtype, aymtype; 555 556 PetscFunctionBegin; 557 if (!a->Mvctx) PetscCall(MatSetUpMultiply_MPIDense(A)); 558 PetscCall(VecSet(yy, 0.0)); 559 if (herm) PetscCall((*a->A->ops->multhermitiantranspose)(a->A, xx, a->lvec)); 560 else PetscCall((*a->A->ops->multtranspose)(a->A, xx, a->lvec)); 561 PetscCall(VecGetArrayReadAndMemType(a->lvec, &ax, &axmtype)); 562 PetscCall(VecGetArrayAndMemType(yy, &ay, &aymtype)); 563 PetscCall(PetscSFReduceWithMemTypeBegin(a->Mvctx, MPIU_SCALAR, axmtype, ax, aymtype, ay, MPIU_SUM)); 564 PetscCall(PetscSFReduceEnd(a->Mvctx, MPIU_SCALAR, ax, ay, MPIU_SUM)); 565 PetscCall(VecRestoreArrayReadAndMemType(a->lvec, &ax)); 566 PetscCall(VecRestoreArrayAndMemType(yy, &ay)); 567 PetscFunctionReturn(PETSC_SUCCESS); 568 } 569 570 static PetscErrorCode MatMultHermitianTransposeAddColumnRange_MPIDense(Mat A, Vec xx, Vec yy, Vec zz, PetscInt c_start, PetscInt c_end) 571 { 572 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 573 const PetscScalar *ax; 574 PetscScalar *ay; 575 PetscMemType axmtype, aymtype; 576 577 PetscFunctionBegin; 578 if (!a->Mvctx) PetscCall(MatSetUpMultiply_MPIDense(A)); 579 PetscCall(VecCopy(yy, zz)); 580 PetscMPIInt rank; 581 PetscCallMPI(MPI_Comm_rank(MPI_COMM_WORLD, &rank)); 582 PetscUseMethod(a->A, "MatMultHermitianTransposeColumnRange_C", (Mat, Vec, Vec, PetscInt, PetscInt), (a->A, xx, a->lvec, c_start, c_end)); 583 PetscCall(VecGetArrayReadAndMemType(a->lvec, &ax, &axmtype)); 584 PetscCall(VecGetArrayAndMemType(zz, &ay, &aymtype)); 585 PetscCall(PetscSFReduceWithMemTypeBegin(a->Mvctx, MPIU_SCALAR, axmtype, ax, aymtype, ay, MPIU_SUM)); 586 PetscCall(PetscSFReduceEnd(a->Mvctx, MPIU_SCALAR, ax, ay, MPIU_SUM)); 587 PetscCall(VecRestoreArrayReadAndMemType(a->lvec, &ax)); 588 PetscCall(VecRestoreArrayAndMemType(zz, &ay)); 589 PetscFunctionReturn(PETSC_SUCCESS); 590 } 591 592 static PetscErrorCode MatMultTransposeAddKernel_MPIDense(Mat A, Vec xx, Vec yy, Vec zz, PetscBool herm) 593 { 594 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 595 const PetscScalar *ax; 596 PetscScalar *ay; 597 PetscMemType axmtype, aymtype; 598 599 PetscFunctionBegin; 600 if (!a->Mvctx) PetscCall(MatSetUpMultiply_MPIDense(A)); 601 PetscCall(VecCopy(yy, zz)); 602 if (herm) PetscCall((*a->A->ops->multhermitiantranspose)(a->A, xx, a->lvec)); 603 else PetscCall((*a->A->ops->multtranspose)(a->A, xx, a->lvec)); 604 PetscCall(VecGetArrayReadAndMemType(a->lvec, &ax, &axmtype)); 605 PetscCall(VecGetArrayAndMemType(zz, &ay, &aymtype)); 606 PetscCall(PetscSFReduceWithMemTypeBegin(a->Mvctx, MPIU_SCALAR, axmtype, ax, aymtype, ay, MPIU_SUM)); 607 PetscCall(PetscSFReduceEnd(a->Mvctx, MPIU_SCALAR, ax, ay, MPIU_SUM)); 608 PetscCall(VecRestoreArrayReadAndMemType(a->lvec, &ax)); 609 PetscCall(VecRestoreArrayAndMemType(zz, &ay)); 610 PetscFunctionReturn(PETSC_SUCCESS); 611 } 612 613 static PetscErrorCode MatMultTranspose_MPIDense(Mat A, Vec xx, Vec yy) 614 { 615 PetscFunctionBegin; 616 PetscCall(MatMultTransposeKernel_MPIDense(A, xx, yy, PETSC_FALSE)); 617 PetscFunctionReturn(PETSC_SUCCESS); 618 } 619 620 static PetscErrorCode MatMultTransposeAdd_MPIDense(Mat A, Vec xx, Vec yy, Vec zz) 621 { 622 PetscFunctionBegin; 623 PetscCall(MatMultTransposeAddKernel_MPIDense(A, xx, yy, zz, PETSC_FALSE)); 624 PetscFunctionReturn(PETSC_SUCCESS); 625 } 626 627 static PetscErrorCode MatMultHermitianTranspose_MPIDense(Mat A, Vec xx, Vec yy) 628 { 629 PetscFunctionBegin; 630 PetscCall(MatMultTransposeKernel_MPIDense(A, xx, yy, PETSC_TRUE)); 631 PetscFunctionReturn(PETSC_SUCCESS); 632 } 633 634 static PetscErrorCode MatMultHermitianTransposeAdd_MPIDense(Mat A, Vec xx, Vec yy, Vec zz) 635 { 636 PetscFunctionBegin; 637 PetscCall(MatMultTransposeAddKernel_MPIDense(A, xx, yy, zz, PETSC_TRUE)); 638 PetscFunctionReturn(PETSC_SUCCESS); 639 } 640 641 PetscErrorCode MatGetDiagonal_MPIDense(Mat A, Vec v) 642 { 643 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 644 PetscInt lda, len, i, nl, ng, m = A->rmap->n, radd; 645 PetscScalar *x; 646 const PetscScalar *av; 647 648 PetscFunctionBegin; 649 PetscCall(VecGetArray(v, &x)); 650 PetscCall(VecGetSize(v, &ng)); 651 PetscCheck(ng == A->rmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Nonconforming mat and vec"); 652 PetscCall(VecGetLocalSize(v, &nl)); 653 len = PetscMin(a->A->rmap->n, a->A->cmap->n); 654 radd = A->rmap->rstart * m; 655 PetscCall(MatDenseGetArrayRead(a->A, &av)); 656 PetscCall(MatDenseGetLDA(a->A, &lda)); 657 for (i = 0; i < len; i++) x[i] = av[radd + i * lda + i]; 658 PetscCall(MatDenseRestoreArrayRead(a->A, &av)); 659 if (nl - i > 0) PetscCall(PetscArrayzero(x + i, nl - i)); 660 PetscCall(VecRestoreArray(v, &x)); 661 PetscFunctionReturn(PETSC_SUCCESS); 662 } 663 664 static PetscErrorCode MatDestroy_MPIDense(Mat mat) 665 { 666 Mat_MPIDense *mdn = (Mat_MPIDense *)mat->data; 667 668 PetscFunctionBegin; 669 PetscCall(PetscLogObjectState((PetscObject)mat, "Rows=%" PetscInt_FMT ", Cols=%" PetscInt_FMT, mat->rmap->N, mat->cmap->N)); 670 PetscCall(MatStashDestroy_Private(&mat->stash)); 671 PetscCheck(!mdn->vecinuse, PetscObjectComm((PetscObject)mat), PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 672 PetscCheck(!mdn->matinuse, PetscObjectComm((PetscObject)mat), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 673 PetscCall(MatDestroy(&mdn->A)); 674 PetscCall(VecDestroy(&mdn->lvec)); 675 PetscCall(PetscSFDestroy(&mdn->Mvctx)); 676 PetscCall(VecDestroy(&mdn->cvec)); 677 PetscCall(MatDestroy(&mdn->cmat)); 678 679 PetscCall(PetscFree(mat->data)); 680 PetscCall(PetscObjectChangeTypeName((PetscObject)mat, NULL)); 681 682 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetLDA_C", NULL)); 683 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseSetLDA_C", NULL)); 684 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArray_C", NULL)); 685 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArray_C", NULL)); 686 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArrayRead_C", NULL)); 687 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArrayRead_C", NULL)); 688 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArrayWrite_C", NULL)); 689 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArrayWrite_C", NULL)); 690 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDensePlaceArray_C", NULL)); 691 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseResetArray_C", NULL)); 692 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseReplaceArray_C", NULL)); 693 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpiaij_mpidense_C", NULL)); 694 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_mpiaij_C", NULL)); 695 #if defined(PETSC_HAVE_ELEMENTAL) 696 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_elemental_C", NULL)); 697 #endif 698 #if defined(PETSC_HAVE_SCALAPACK) 699 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_scalapack_C", NULL)); 700 #endif 701 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMPIDenseSetPreallocation_C", NULL)); 702 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaij_mpidense_C", NULL)); 703 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidense_mpiaij_C", NULL)); 704 #if defined(PETSC_HAVE_CUDA) 705 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaijcusparse_mpidense_C", NULL)); 706 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidense_mpiaijcusparse_C", NULL)); 707 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_mpidensecuda_C", NULL)); 708 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidensecuda_mpidense_C", NULL)); 709 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaij_mpidensecuda_C", NULL)); 710 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaijcusparse_mpidensecuda_C", NULL)); 711 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidensecuda_mpiaij_C", NULL)); 712 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidensecuda_mpiaijcusparse_C", NULL)); 713 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseCUDAGetArray_C", NULL)); 714 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseCUDAGetArrayRead_C", NULL)); 715 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseCUDAGetArrayWrite_C", NULL)); 716 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseCUDARestoreArray_C", NULL)); 717 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseCUDARestoreArrayRead_C", NULL)); 718 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseCUDARestoreArrayWrite_C", NULL)); 719 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseCUDAPlaceArray_C", NULL)); 720 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseCUDAResetArray_C", NULL)); 721 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseCUDAReplaceArray_C", NULL)); 722 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseCUDASetPreallocation_C", NULL)); 723 #endif 724 #if defined(PETSC_HAVE_HIP) 725 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaijhipsparse_mpidense_C", NULL)); 726 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidense_mpiaijhipsparse_C", NULL)); 727 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_mpidensehip_C", NULL)); 728 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidensehip_mpidense_C", NULL)); 729 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaij_mpidensehip_C", NULL)); 730 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaijhipsparse_mpidensehip_C", NULL)); 731 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidensehip_mpiaij_C", NULL)); 732 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidensehip_mpiaijhipsparse_C", NULL)); 733 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseHIPGetArray_C", NULL)); 734 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseHIPGetArrayRead_C", NULL)); 735 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseHIPGetArrayWrite_C", NULL)); 736 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseHIPRestoreArray_C", NULL)); 737 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseHIPRestoreArrayRead_C", NULL)); 738 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseHIPRestoreArrayWrite_C", NULL)); 739 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseHIPPlaceArray_C", NULL)); 740 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseHIPResetArray_C", NULL)); 741 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseHIPReplaceArray_C", NULL)); 742 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseHIPSetPreallocation_C", NULL)); 743 #endif 744 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumn_C", NULL)); 745 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumn_C", NULL)); 746 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVec_C", NULL)); 747 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVec_C", NULL)); 748 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVecRead_C", NULL)); 749 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVecRead_C", NULL)); 750 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVecWrite_C", NULL)); 751 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVecWrite_C", NULL)); 752 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetSubMatrix_C", NULL)); 753 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreSubMatrix_C", NULL)); 754 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultAddColumnRange_C", NULL)); 755 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultHermitianTransposeColumnRange_C", NULL)); 756 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultHermitianTransposeAddColumnRange_C", NULL)); 757 758 PetscCall(PetscObjectCompose((PetscObject)mat, "DiagonalBlock", NULL)); 759 PetscFunctionReturn(PETSC_SUCCESS); 760 } 761 762 #include <petscdraw.h> 763 static PetscErrorCode MatView_MPIDense_ASCIIorDraworSocket(Mat mat, PetscViewer viewer) 764 { 765 Mat_MPIDense *mdn = (Mat_MPIDense *)mat->data; 766 PetscMPIInt rank; 767 PetscViewerType vtype; 768 PetscBool iascii, isdraw; 769 PetscViewer sviewer; 770 PetscViewerFormat format; 771 772 PetscFunctionBegin; 773 PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)mat), &rank)); 774 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &iascii)); 775 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERDRAW, &isdraw)); 776 if (iascii) { 777 PetscCall(PetscViewerGetType(viewer, &vtype)); 778 PetscCall(PetscViewerGetFormat(viewer, &format)); 779 if (format == PETSC_VIEWER_ASCII_INFO_DETAIL) { 780 MatInfo info; 781 PetscCall(MatGetInfo(mat, MAT_LOCAL, &info)); 782 PetscCall(PetscViewerASCIIPushSynchronized(viewer)); 783 PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, " [%d] local rows %" PetscInt_FMT " nz %" PetscInt_FMT " nz alloced %" PetscInt_FMT " mem %" PetscInt_FMT " \n", rank, mat->rmap->n, (PetscInt)info.nz_used, (PetscInt)info.nz_allocated, 784 (PetscInt)info.memory)); 785 PetscCall(PetscViewerFlush(viewer)); 786 PetscCall(PetscViewerASCIIPopSynchronized(viewer)); 787 if (mdn->Mvctx) PetscCall(PetscSFView(mdn->Mvctx, viewer)); 788 PetscFunctionReturn(PETSC_SUCCESS); 789 } else if (format == PETSC_VIEWER_ASCII_INFO) { 790 PetscFunctionReturn(PETSC_SUCCESS); 791 } 792 } else if (isdraw) { 793 PetscDraw draw; 794 PetscBool isnull; 795 796 PetscCall(PetscViewerDrawGetDraw(viewer, 0, &draw)); 797 PetscCall(PetscDrawIsNull(draw, &isnull)); 798 if (isnull) PetscFunctionReturn(PETSC_SUCCESS); 799 } 800 801 { 802 /* assemble the entire matrix onto first processor. */ 803 Mat A; 804 PetscInt M = mat->rmap->N, N = mat->cmap->N, m, row, i, nz; 805 PetscInt *cols; 806 PetscScalar *vals; 807 808 PetscCall(MatCreate(PetscObjectComm((PetscObject)mat), &A)); 809 if (rank == 0) { 810 PetscCall(MatSetSizes(A, M, N, M, N)); 811 } else { 812 PetscCall(MatSetSizes(A, 0, 0, M, N)); 813 } 814 /* Since this is a temporary matrix, MATMPIDENSE instead of ((PetscObject)A)->type_name here is probably acceptable. */ 815 PetscCall(MatSetType(A, MATMPIDENSE)); 816 PetscCall(MatMPIDenseSetPreallocation(A, NULL)); 817 818 /* Copy the matrix ... This isn't the most efficient means, 819 but it's quick for now */ 820 A->insertmode = INSERT_VALUES; 821 822 row = mat->rmap->rstart; 823 m = mdn->A->rmap->n; 824 for (i = 0; i < m; i++) { 825 PetscCall(MatGetRow_MPIDense(mat, row, &nz, &cols, &vals)); 826 PetscCall(MatSetValues_MPIDense(A, 1, &row, nz, cols, vals, INSERT_VALUES)); 827 PetscCall(MatRestoreRow_MPIDense(mat, row, &nz, &cols, &vals)); 828 row++; 829 } 830 831 PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY)); 832 PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY)); 833 PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 834 if (rank == 0) { 835 PetscCall(PetscObjectSetName((PetscObject)((Mat_MPIDense *)A->data)->A, ((PetscObject)mat)->name)); 836 PetscCall(MatView_SeqDense(((Mat_MPIDense *)A->data)->A, sviewer)); 837 } 838 PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 839 PetscCall(MatDestroy(&A)); 840 } 841 PetscFunctionReturn(PETSC_SUCCESS); 842 } 843 844 static PetscErrorCode MatView_MPIDense(Mat mat, PetscViewer viewer) 845 { 846 PetscBool iascii, isbinary, isdraw, issocket; 847 848 PetscFunctionBegin; 849 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &iascii)); 850 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary)); 851 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERSOCKET, &issocket)); 852 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERDRAW, &isdraw)); 853 854 if (iascii || issocket || isdraw) { 855 PetscCall(MatView_MPIDense_ASCIIorDraworSocket(mat, viewer)); 856 } else if (isbinary) PetscCall(MatView_Dense_Binary(mat, viewer)); 857 PetscFunctionReturn(PETSC_SUCCESS); 858 } 859 860 static PetscErrorCode MatGetInfo_MPIDense(Mat A, MatInfoType flag, MatInfo *info) 861 { 862 Mat_MPIDense *mat = (Mat_MPIDense *)A->data; 863 Mat mdn = mat->A; 864 PetscLogDouble isend[5], irecv[5]; 865 866 PetscFunctionBegin; 867 info->block_size = 1.0; 868 869 PetscCall(MatGetInfo(mdn, MAT_LOCAL, info)); 870 871 isend[0] = info->nz_used; 872 isend[1] = info->nz_allocated; 873 isend[2] = info->nz_unneeded; 874 isend[3] = info->memory; 875 isend[4] = info->mallocs; 876 if (flag == MAT_LOCAL) { 877 info->nz_used = isend[0]; 878 info->nz_allocated = isend[1]; 879 info->nz_unneeded = isend[2]; 880 info->memory = isend[3]; 881 info->mallocs = isend[4]; 882 } else if (flag == MAT_GLOBAL_MAX) { 883 PetscCallMPI(MPIU_Allreduce(isend, irecv, 5, MPIU_PETSCLOGDOUBLE, MPI_MAX, PetscObjectComm((PetscObject)A))); 884 885 info->nz_used = irecv[0]; 886 info->nz_allocated = irecv[1]; 887 info->nz_unneeded = irecv[2]; 888 info->memory = irecv[3]; 889 info->mallocs = irecv[4]; 890 } else if (flag == MAT_GLOBAL_SUM) { 891 PetscCallMPI(MPIU_Allreduce(isend, irecv, 5, MPIU_PETSCLOGDOUBLE, MPI_SUM, PetscObjectComm((PetscObject)A))); 892 893 info->nz_used = irecv[0]; 894 info->nz_allocated = irecv[1]; 895 info->nz_unneeded = irecv[2]; 896 info->memory = irecv[3]; 897 info->mallocs = irecv[4]; 898 } 899 info->fill_ratio_given = 0; /* no parallel LU/ILU/Cholesky */ 900 info->fill_ratio_needed = 0; 901 info->factor_mallocs = 0; 902 PetscFunctionReturn(PETSC_SUCCESS); 903 } 904 905 static PetscErrorCode MatSetOption_MPIDense(Mat A, MatOption op, PetscBool flg) 906 { 907 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 908 909 PetscFunctionBegin; 910 switch (op) { 911 case MAT_NEW_NONZERO_LOCATIONS: 912 case MAT_NEW_NONZERO_LOCATION_ERR: 913 case MAT_NEW_NONZERO_ALLOCATION_ERR: 914 MatCheckPreallocated(A, 1); 915 PetscCall(MatSetOption(a->A, op, flg)); 916 break; 917 case MAT_ROW_ORIENTED: 918 MatCheckPreallocated(A, 1); 919 a->roworiented = flg; 920 PetscCall(MatSetOption(a->A, op, flg)); 921 break; 922 case MAT_FORCE_DIAGONAL_ENTRIES: 923 case MAT_KEEP_NONZERO_PATTERN: 924 case MAT_USE_HASH_TABLE: 925 case MAT_SORTED_FULL: 926 PetscCall(PetscInfo(A, "Option %s ignored\n", MatOptions[op])); 927 break; 928 case MAT_IGNORE_OFF_PROC_ENTRIES: 929 a->donotstash = flg; 930 break; 931 case MAT_SYMMETRIC: 932 case MAT_STRUCTURALLY_SYMMETRIC: 933 case MAT_HERMITIAN: 934 case MAT_SYMMETRY_ETERNAL: 935 case MAT_STRUCTURAL_SYMMETRY_ETERNAL: 936 case MAT_SPD: 937 case MAT_IGNORE_LOWER_TRIANGULAR: 938 case MAT_IGNORE_ZERO_ENTRIES: 939 case MAT_SPD_ETERNAL: 940 /* if the diagonal matrix is square it inherits some of the properties above */ 941 PetscCall(PetscInfo(A, "Option %s ignored\n", MatOptions[op])); 942 break; 943 default: 944 SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "unknown option %s", MatOptions[op]); 945 } 946 PetscFunctionReturn(PETSC_SUCCESS); 947 } 948 949 static PetscErrorCode MatDiagonalScale_MPIDense(Mat A, Vec ll, Vec rr) 950 { 951 Mat_MPIDense *mdn = (Mat_MPIDense *)A->data; 952 const PetscScalar *l; 953 PetscScalar x, *v, *vv, *r; 954 PetscInt i, j, s2a, s3a, s2, s3, m = mdn->A->rmap->n, n = mdn->A->cmap->n, lda; 955 956 PetscFunctionBegin; 957 PetscCall(MatDenseGetArray(mdn->A, &vv)); 958 PetscCall(MatDenseGetLDA(mdn->A, &lda)); 959 PetscCall(MatGetLocalSize(A, &s2, &s3)); 960 if (ll) { 961 PetscCall(VecGetLocalSize(ll, &s2a)); 962 PetscCheck(s2a == s2, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Left scaling vector non-conforming local size, %" PetscInt_FMT " != %" PetscInt_FMT, s2a, s2); 963 PetscCall(VecGetArrayRead(ll, &l)); 964 for (i = 0; i < m; i++) { 965 x = l[i]; 966 v = vv + i; 967 for (j = 0; j < n; j++) { 968 (*v) *= x; 969 v += lda; 970 } 971 } 972 PetscCall(VecRestoreArrayRead(ll, &l)); 973 PetscCall(PetscLogFlops(1.0 * n * m)); 974 } 975 if (rr) { 976 const PetscScalar *ar; 977 978 PetscCall(VecGetLocalSize(rr, &s3a)); 979 PetscCheck(s3a == s3, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Right scaling vec non-conforming local size, %" PetscInt_FMT " != %" PetscInt_FMT ".", s3a, s3); 980 PetscCall(VecGetArrayRead(rr, &ar)); 981 if (!mdn->Mvctx) PetscCall(MatSetUpMultiply_MPIDense(A)); 982 PetscCall(VecGetArray(mdn->lvec, &r)); 983 PetscCall(PetscSFBcastBegin(mdn->Mvctx, MPIU_SCALAR, ar, r, MPI_REPLACE)); 984 PetscCall(PetscSFBcastEnd(mdn->Mvctx, MPIU_SCALAR, ar, r, MPI_REPLACE)); 985 PetscCall(VecRestoreArrayRead(rr, &ar)); 986 for (i = 0; i < n; i++) { 987 x = r[i]; 988 v = vv + i * lda; 989 for (j = 0; j < m; j++) (*v++) *= x; 990 } 991 PetscCall(VecRestoreArray(mdn->lvec, &r)); 992 PetscCall(PetscLogFlops(1.0 * n * m)); 993 } 994 PetscCall(MatDenseRestoreArray(mdn->A, &vv)); 995 PetscFunctionReturn(PETSC_SUCCESS); 996 } 997 998 static PetscErrorCode MatNorm_MPIDense(Mat A, NormType type, PetscReal *nrm) 999 { 1000 Mat_MPIDense *mdn = (Mat_MPIDense *)A->data; 1001 PetscInt i, j; 1002 PetscMPIInt size, iN; 1003 PetscReal sum = 0.0; 1004 const PetscScalar *av, *v; 1005 1006 PetscFunctionBegin; 1007 PetscCall(MatDenseGetArrayRead(mdn->A, &av)); 1008 v = av; 1009 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)A), &size)); 1010 if (size == 1) { 1011 PetscCall(MatNorm(mdn->A, type, nrm)); 1012 } else { 1013 if (type == NORM_FROBENIUS) { 1014 for (i = 0; i < mdn->A->cmap->n * mdn->A->rmap->n; i++) { 1015 sum += PetscRealPart(PetscConj(*v) * (*v)); 1016 v++; 1017 } 1018 PetscCallMPI(MPIU_Allreduce(&sum, nrm, 1, MPIU_REAL, MPIU_SUM, PetscObjectComm((PetscObject)A))); 1019 *nrm = PetscSqrtReal(*nrm); 1020 PetscCall(PetscLogFlops(2.0 * mdn->A->cmap->n * mdn->A->rmap->n)); 1021 } else if (type == NORM_1) { 1022 PetscReal *tmp, *tmp2; 1023 PetscCall(PetscCalloc2(A->cmap->N, &tmp, A->cmap->N, &tmp2)); 1024 *nrm = 0.0; 1025 v = av; 1026 for (j = 0; j < mdn->A->cmap->n; j++) { 1027 for (i = 0; i < mdn->A->rmap->n; i++) { 1028 tmp[j] += PetscAbsScalar(*v); 1029 v++; 1030 } 1031 } 1032 PetscCall(PetscMPIIntCast(A->cmap->N, &iN)); 1033 PetscCallMPI(MPIU_Allreduce(tmp, tmp2, iN, MPIU_REAL, MPIU_SUM, PetscObjectComm((PetscObject)A))); 1034 for (j = 0; j < A->cmap->N; j++) { 1035 if (tmp2[j] > *nrm) *nrm = tmp2[j]; 1036 } 1037 PetscCall(PetscFree2(tmp, tmp2)); 1038 PetscCall(PetscLogFlops(A->cmap->n * A->rmap->n)); 1039 } else if (type == NORM_INFINITY) { /* max row norm */ 1040 PetscReal ntemp; 1041 PetscCall(MatNorm(mdn->A, type, &ntemp)); 1042 PetscCallMPI(MPIU_Allreduce(&ntemp, nrm, 1, MPIU_REAL, MPIU_MAX, PetscObjectComm((PetscObject)A))); 1043 } else SETERRQ(PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "No support for two norm"); 1044 } 1045 PetscCall(MatDenseRestoreArrayRead(mdn->A, &av)); 1046 PetscFunctionReturn(PETSC_SUCCESS); 1047 } 1048 1049 static PetscErrorCode MatTranspose_MPIDense(Mat A, MatReuse reuse, Mat *matout) 1050 { 1051 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1052 Mat B; 1053 PetscInt M = A->rmap->N, N = A->cmap->N, m, n, *rwork, rstart = A->rmap->rstart; 1054 PetscInt j, i, lda; 1055 PetscScalar *v; 1056 1057 PetscFunctionBegin; 1058 if (reuse == MAT_REUSE_MATRIX) PetscCall(MatTransposeCheckNonzeroState_Private(A, *matout)); 1059 if (reuse == MAT_INITIAL_MATRIX || reuse == MAT_INPLACE_MATRIX) { 1060 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &B)); 1061 PetscCall(MatSetSizes(B, A->cmap->n, A->rmap->n, N, M)); 1062 PetscCall(MatSetType(B, ((PetscObject)A)->type_name)); 1063 PetscCall(MatMPIDenseSetPreallocation(B, NULL)); 1064 } else B = *matout; 1065 1066 m = a->A->rmap->n; 1067 n = a->A->cmap->n; 1068 PetscCall(MatDenseGetArrayRead(a->A, (const PetscScalar **)&v)); 1069 PetscCall(MatDenseGetLDA(a->A, &lda)); 1070 PetscCall(PetscMalloc1(m, &rwork)); 1071 for (i = 0; i < m; i++) rwork[i] = rstart + i; 1072 for (j = 0; j < n; j++) { 1073 PetscCall(MatSetValues(B, 1, &j, m, rwork, v, INSERT_VALUES)); 1074 v = PetscSafePointerPlusOffset(v, lda); 1075 } 1076 PetscCall(MatDenseRestoreArrayRead(a->A, (const PetscScalar **)&v)); 1077 PetscCall(PetscFree(rwork)); 1078 PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY)); 1079 PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY)); 1080 if (reuse == MAT_INITIAL_MATRIX || reuse == MAT_REUSE_MATRIX) { 1081 *matout = B; 1082 } else { 1083 PetscCall(MatHeaderMerge(A, &B)); 1084 } 1085 PetscFunctionReturn(PETSC_SUCCESS); 1086 } 1087 1088 static PetscErrorCode MatDuplicate_MPIDense(Mat, MatDuplicateOption, Mat *); 1089 PETSC_INTERN PetscErrorCode MatScale_MPIDense(Mat, PetscScalar); 1090 1091 static PetscErrorCode MatSetUp_MPIDense(Mat A) 1092 { 1093 PetscFunctionBegin; 1094 PetscCall(PetscLayoutSetUp(A->rmap)); 1095 PetscCall(PetscLayoutSetUp(A->cmap)); 1096 if (!A->preallocated) PetscCall(MatMPIDenseSetPreallocation(A, NULL)); 1097 PetscFunctionReturn(PETSC_SUCCESS); 1098 } 1099 1100 static PetscErrorCode MatAXPY_MPIDense(Mat Y, PetscScalar alpha, Mat X, MatStructure str) 1101 { 1102 Mat_MPIDense *A = (Mat_MPIDense *)Y->data, *B = (Mat_MPIDense *)X->data; 1103 1104 PetscFunctionBegin; 1105 PetscCall(MatAXPY(A->A, alpha, B->A, str)); 1106 PetscFunctionReturn(PETSC_SUCCESS); 1107 } 1108 1109 static PetscErrorCode MatConjugate_MPIDense(Mat mat) 1110 { 1111 Mat_MPIDense *a = (Mat_MPIDense *)mat->data; 1112 1113 PetscFunctionBegin; 1114 PetscCall(MatConjugate(a->A)); 1115 PetscFunctionReturn(PETSC_SUCCESS); 1116 } 1117 1118 static PetscErrorCode MatRealPart_MPIDense(Mat A) 1119 { 1120 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1121 1122 PetscFunctionBegin; 1123 PetscCall(MatRealPart(a->A)); 1124 PetscFunctionReturn(PETSC_SUCCESS); 1125 } 1126 1127 static PetscErrorCode MatImaginaryPart_MPIDense(Mat A) 1128 { 1129 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1130 1131 PetscFunctionBegin; 1132 PetscCall(MatImaginaryPart(a->A)); 1133 PetscFunctionReturn(PETSC_SUCCESS); 1134 } 1135 1136 static PetscErrorCode MatGetColumnVector_MPIDense(Mat A, Vec v, PetscInt col) 1137 { 1138 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1139 1140 PetscFunctionBegin; 1141 PetscCheck(a->A, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Missing local matrix"); 1142 PetscCheck(a->A->ops->getcolumnvector, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Missing get column operation"); 1143 PetscCall((*a->A->ops->getcolumnvector)(a->A, v, col)); 1144 PetscFunctionReturn(PETSC_SUCCESS); 1145 } 1146 1147 PETSC_INTERN PetscErrorCode MatGetColumnReductions_SeqDense(Mat, PetscInt, PetscReal *); 1148 1149 static PetscErrorCode MatGetColumnReductions_MPIDense(Mat A, PetscInt type, PetscReal *reductions) 1150 { 1151 PetscInt i, m, n; 1152 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1153 PetscReal *work; 1154 PetscMPIInt in; 1155 1156 PetscFunctionBegin; 1157 PetscCall(MatGetSize(A, &m, &n)); 1158 PetscCall(PetscMalloc1(n, &work)); 1159 if (type == REDUCTION_MEAN_REALPART) { 1160 PetscCall(MatGetColumnReductions_SeqDense(a->A, (PetscInt)REDUCTION_SUM_REALPART, work)); 1161 } else if (type == REDUCTION_MEAN_IMAGINARYPART) { 1162 PetscCall(MatGetColumnReductions_SeqDense(a->A, (PetscInt)REDUCTION_SUM_IMAGINARYPART, work)); 1163 } else { 1164 PetscCall(MatGetColumnReductions_SeqDense(a->A, type, work)); 1165 } 1166 if (type == NORM_2) { 1167 for (i = 0; i < n; i++) work[i] *= work[i]; 1168 } 1169 PetscCall(PetscMPIIntCast(n, &in)); 1170 if (type == NORM_INFINITY) { 1171 PetscCallMPI(MPIU_Allreduce(work, reductions, in, MPIU_REAL, MPIU_MAX, A->hdr.comm)); 1172 } else { 1173 PetscCallMPI(MPIU_Allreduce(work, reductions, in, MPIU_REAL, MPIU_SUM, A->hdr.comm)); 1174 } 1175 PetscCall(PetscFree(work)); 1176 if (type == NORM_2) { 1177 for (i = 0; i < n; i++) reductions[i] = PetscSqrtReal(reductions[i]); 1178 } else if (type == REDUCTION_MEAN_REALPART || type == REDUCTION_MEAN_IMAGINARYPART) { 1179 for (i = 0; i < n; i++) reductions[i] /= m; 1180 } 1181 PetscFunctionReturn(PETSC_SUCCESS); 1182 } 1183 1184 static PetscErrorCode MatSetRandom_MPIDense(Mat x, PetscRandom rctx) 1185 { 1186 Mat_MPIDense *d = (Mat_MPIDense *)x->data; 1187 1188 PetscFunctionBegin; 1189 PetscCall(MatSetRandom(d->A, rctx)); 1190 #if defined(PETSC_HAVE_DEVICE) 1191 x->offloadmask = d->A->offloadmask; 1192 #endif 1193 PetscFunctionReturn(PETSC_SUCCESS); 1194 } 1195 1196 static PetscErrorCode MatMissingDiagonal_MPIDense(Mat A, PetscBool *missing, PetscInt *d) 1197 { 1198 PetscFunctionBegin; 1199 *missing = PETSC_FALSE; 1200 PetscFunctionReturn(PETSC_SUCCESS); 1201 } 1202 1203 static PetscErrorCode MatMatTransposeMultSymbolic_MPIDense_MPIDense(Mat, Mat, PetscReal, Mat); 1204 static PetscErrorCode MatMatTransposeMultNumeric_MPIDense_MPIDense(Mat, Mat, Mat); 1205 static PetscErrorCode MatTransposeMatMultSymbolic_MPIDense_MPIDense(Mat, Mat, PetscReal, Mat); 1206 static PetscErrorCode MatTransposeMatMultNumeric_MPIDense_MPIDense(Mat, Mat, Mat); 1207 static PetscErrorCode MatEqual_MPIDense(Mat, Mat, PetscBool *); 1208 static PetscErrorCode MatLoad_MPIDense(Mat, PetscViewer); 1209 static PetscErrorCode MatProductSetFromOptions_MPIDense(Mat); 1210 1211 static struct _MatOps MatOps_Values = {MatSetValues_MPIDense, 1212 MatGetRow_MPIDense, 1213 MatRestoreRow_MPIDense, 1214 MatMult_MPIDense, 1215 /* 4*/ MatMultAdd_MPIDense, 1216 MatMultTranspose_MPIDense, 1217 MatMultTransposeAdd_MPIDense, 1218 NULL, 1219 NULL, 1220 NULL, 1221 /* 10*/ NULL, 1222 NULL, 1223 NULL, 1224 NULL, 1225 MatTranspose_MPIDense, 1226 /* 15*/ MatGetInfo_MPIDense, 1227 MatEqual_MPIDense, 1228 MatGetDiagonal_MPIDense, 1229 MatDiagonalScale_MPIDense, 1230 MatNorm_MPIDense, 1231 /* 20*/ MatAssemblyBegin_MPIDense, 1232 MatAssemblyEnd_MPIDense, 1233 MatSetOption_MPIDense, 1234 MatZeroEntries_MPIDense, 1235 /* 24*/ MatZeroRows_MPIDense, 1236 NULL, 1237 NULL, 1238 NULL, 1239 NULL, 1240 /* 29*/ MatSetUp_MPIDense, 1241 NULL, 1242 NULL, 1243 MatGetDiagonalBlock_MPIDense, 1244 NULL, 1245 /* 34*/ MatDuplicate_MPIDense, 1246 NULL, 1247 NULL, 1248 NULL, 1249 NULL, 1250 /* 39*/ MatAXPY_MPIDense, 1251 MatCreateSubMatrices_MPIDense, 1252 NULL, 1253 MatGetValues_MPIDense, 1254 MatCopy_MPIDense, 1255 /* 44*/ NULL, 1256 MatScale_MPIDense, 1257 MatShift_MPIDense, 1258 NULL, 1259 NULL, 1260 /* 49*/ MatSetRandom_MPIDense, 1261 NULL, 1262 NULL, 1263 NULL, 1264 NULL, 1265 /* 54*/ NULL, 1266 NULL, 1267 NULL, 1268 NULL, 1269 NULL, 1270 /* 59*/ MatCreateSubMatrix_MPIDense, 1271 MatDestroy_MPIDense, 1272 MatView_MPIDense, 1273 NULL, 1274 NULL, 1275 /* 64*/ NULL, 1276 NULL, 1277 NULL, 1278 NULL, 1279 NULL, 1280 /* 69*/ NULL, 1281 NULL, 1282 NULL, 1283 NULL, 1284 NULL, 1285 /* 74*/ NULL, 1286 NULL, 1287 NULL, 1288 NULL, 1289 NULL, 1290 /* 79*/ NULL, 1291 NULL, 1292 NULL, 1293 NULL, 1294 /* 83*/ MatLoad_MPIDense, 1295 NULL, 1296 NULL, 1297 NULL, 1298 NULL, 1299 NULL, 1300 /* 89*/ NULL, 1301 NULL, 1302 NULL, 1303 NULL, 1304 NULL, 1305 /* 94*/ NULL, 1306 NULL, 1307 MatMatTransposeMultSymbolic_MPIDense_MPIDense, 1308 MatMatTransposeMultNumeric_MPIDense_MPIDense, 1309 NULL, 1310 /* 99*/ MatProductSetFromOptions_MPIDense, 1311 NULL, 1312 NULL, 1313 MatConjugate_MPIDense, 1314 NULL, 1315 /*104*/ NULL, 1316 MatRealPart_MPIDense, 1317 MatImaginaryPart_MPIDense, 1318 NULL, 1319 NULL, 1320 /*109*/ NULL, 1321 NULL, 1322 NULL, 1323 MatGetColumnVector_MPIDense, 1324 MatMissingDiagonal_MPIDense, 1325 /*114*/ NULL, 1326 NULL, 1327 NULL, 1328 NULL, 1329 NULL, 1330 /*119*/ NULL, 1331 NULL, 1332 MatMultHermitianTranspose_MPIDense, 1333 MatMultHermitianTransposeAdd_MPIDense, 1334 NULL, 1335 /*124*/ NULL, 1336 MatGetColumnReductions_MPIDense, 1337 NULL, 1338 NULL, 1339 NULL, 1340 /*129*/ NULL, 1341 NULL, 1342 MatTransposeMatMultSymbolic_MPIDense_MPIDense, 1343 MatTransposeMatMultNumeric_MPIDense_MPIDense, 1344 NULL, 1345 /*134*/ NULL, 1346 NULL, 1347 NULL, 1348 NULL, 1349 NULL, 1350 /*139*/ NULL, 1351 NULL, 1352 NULL, 1353 NULL, 1354 NULL, 1355 MatCreateMPIMatConcatenateSeqMat_MPIDense, 1356 /*145*/ NULL, 1357 NULL, 1358 NULL, 1359 NULL, 1360 NULL, 1361 /*150*/ NULL, 1362 NULL, 1363 NULL, 1364 NULL, 1365 NULL, 1366 /*155*/ NULL, 1367 NULL}; 1368 1369 static PetscErrorCode MatMPIDenseSetPreallocation_MPIDense(Mat mat, PetscScalar *data) 1370 { 1371 Mat_MPIDense *a = (Mat_MPIDense *)mat->data; 1372 MatType mtype = MATSEQDENSE; 1373 1374 PetscFunctionBegin; 1375 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)mat), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1376 PetscCall(PetscLayoutSetUp(mat->rmap)); 1377 PetscCall(PetscLayoutSetUp(mat->cmap)); 1378 if (!a->A) { 1379 PetscCall(MatCreate(PETSC_COMM_SELF, &a->A)); 1380 PetscCall(MatSetSizes(a->A, mat->rmap->n, mat->cmap->N, mat->rmap->n, mat->cmap->N)); 1381 } 1382 #if defined(PETSC_HAVE_CUDA) 1383 PetscBool iscuda; 1384 PetscCall(PetscObjectTypeCompare((PetscObject)mat, MATMPIDENSECUDA, &iscuda)); 1385 if (iscuda) mtype = MATSEQDENSECUDA; 1386 #endif 1387 #if defined(PETSC_HAVE_HIP) 1388 PetscBool iship; 1389 PetscCall(PetscObjectTypeCompare((PetscObject)mat, MATMPIDENSEHIP, &iship)); 1390 if (iship) mtype = MATSEQDENSEHIP; 1391 #endif 1392 PetscCall(MatSetType(a->A, mtype)); 1393 PetscCall(MatSeqDenseSetPreallocation(a->A, data)); 1394 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 1395 mat->offloadmask = a->A->offloadmask; 1396 #endif 1397 mat->preallocated = PETSC_TRUE; 1398 mat->assembled = PETSC_TRUE; 1399 PetscFunctionReturn(PETSC_SUCCESS); 1400 } 1401 1402 PETSC_INTERN PetscErrorCode MatConvert_MPIAIJ_MPIDense(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) 1403 { 1404 Mat B, C; 1405 1406 PetscFunctionBegin; 1407 PetscCall(MatMPIAIJGetLocalMat(A, MAT_INITIAL_MATRIX, &C)); 1408 PetscCall(MatConvert_SeqAIJ_SeqDense(C, MATSEQDENSE, MAT_INITIAL_MATRIX, &B)); 1409 PetscCall(MatDestroy(&C)); 1410 if (reuse == MAT_REUSE_MATRIX) { 1411 C = *newmat; 1412 } else C = NULL; 1413 PetscCall(MatCreateMPIMatConcatenateSeqMat(PetscObjectComm((PetscObject)A), B, A->cmap->n, !C ? MAT_INITIAL_MATRIX : MAT_REUSE_MATRIX, &C)); 1414 PetscCall(MatDestroy(&B)); 1415 if (reuse == MAT_INPLACE_MATRIX) { 1416 PetscCall(MatHeaderReplace(A, &C)); 1417 } else if (reuse == MAT_INITIAL_MATRIX) *newmat = C; 1418 PetscFunctionReturn(PETSC_SUCCESS); 1419 } 1420 1421 static PetscErrorCode MatConvert_MPIDense_MPIAIJ(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) 1422 { 1423 Mat B, C; 1424 1425 PetscFunctionBegin; 1426 PetscCall(MatDenseGetLocalMatrix(A, &C)); 1427 PetscCall(MatConvert_SeqDense_SeqAIJ(C, MATSEQAIJ, MAT_INITIAL_MATRIX, &B)); 1428 if (reuse == MAT_REUSE_MATRIX) { 1429 C = *newmat; 1430 } else C = NULL; 1431 PetscCall(MatCreateMPIMatConcatenateSeqMat(PetscObjectComm((PetscObject)A), B, A->cmap->n, !C ? MAT_INITIAL_MATRIX : MAT_REUSE_MATRIX, &C)); 1432 PetscCall(MatDestroy(&B)); 1433 if (reuse == MAT_INPLACE_MATRIX) { 1434 PetscCall(MatHeaderReplace(A, &C)); 1435 } else if (reuse == MAT_INITIAL_MATRIX) *newmat = C; 1436 PetscFunctionReturn(PETSC_SUCCESS); 1437 } 1438 1439 #if defined(PETSC_HAVE_ELEMENTAL) 1440 PETSC_INTERN PetscErrorCode MatConvert_MPIDense_Elemental(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) 1441 { 1442 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1443 Mat mat_elemental; 1444 PetscScalar *v; 1445 PetscInt m = A->rmap->n, N = A->cmap->N, rstart = A->rmap->rstart, i, *rows, *cols, lda; 1446 1447 PetscFunctionBegin; 1448 if (reuse == MAT_REUSE_MATRIX) { 1449 mat_elemental = *newmat; 1450 PetscCall(MatZeroEntries(*newmat)); 1451 } else { 1452 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &mat_elemental)); 1453 PetscCall(MatSetSizes(mat_elemental, PETSC_DECIDE, PETSC_DECIDE, A->rmap->N, A->cmap->N)); 1454 PetscCall(MatSetType(mat_elemental, MATELEMENTAL)); 1455 PetscCall(MatSetUp(mat_elemental)); 1456 PetscCall(MatSetOption(mat_elemental, MAT_ROW_ORIENTED, PETSC_FALSE)); 1457 } 1458 1459 PetscCall(PetscMalloc2(m, &rows, N, &cols)); 1460 for (i = 0; i < N; i++) cols[i] = i; 1461 for (i = 0; i < m; i++) rows[i] = rstart + i; 1462 1463 /* PETSc-Elemental interface uses axpy for setting off-processor entries, only ADD_VALUES is allowed */ 1464 PetscCall(MatDenseGetArray(A, &v)); 1465 PetscCall(MatDenseGetLDA(a->A, &lda)); 1466 if (lda == m) PetscCall(MatSetValues(mat_elemental, m, rows, N, cols, v, ADD_VALUES)); 1467 else { 1468 for (i = 0; i < N; i++) PetscCall(MatSetValues(mat_elemental, m, rows, 1, &i, v + lda * i, ADD_VALUES)); 1469 } 1470 PetscCall(MatAssemblyBegin(mat_elemental, MAT_FINAL_ASSEMBLY)); 1471 PetscCall(MatAssemblyEnd(mat_elemental, MAT_FINAL_ASSEMBLY)); 1472 PetscCall(MatDenseRestoreArray(A, &v)); 1473 PetscCall(PetscFree2(rows, cols)); 1474 1475 if (reuse == MAT_INPLACE_MATRIX) { 1476 PetscCall(MatHeaderReplace(A, &mat_elemental)); 1477 } else { 1478 *newmat = mat_elemental; 1479 } 1480 PetscFunctionReturn(PETSC_SUCCESS); 1481 } 1482 #endif 1483 1484 static PetscErrorCode MatDenseGetColumn_MPIDense(Mat A, PetscInt col, PetscScalar **vals) 1485 { 1486 Mat_MPIDense *mat = (Mat_MPIDense *)A->data; 1487 1488 PetscFunctionBegin; 1489 PetscCall(MatDenseGetColumn(mat->A, col, vals)); 1490 PetscFunctionReturn(PETSC_SUCCESS); 1491 } 1492 1493 static PetscErrorCode MatDenseRestoreColumn_MPIDense(Mat A, PetscScalar **vals) 1494 { 1495 Mat_MPIDense *mat = (Mat_MPIDense *)A->data; 1496 1497 PetscFunctionBegin; 1498 PetscCall(MatDenseRestoreColumn(mat->A, vals)); 1499 PetscFunctionReturn(PETSC_SUCCESS); 1500 } 1501 1502 PetscErrorCode MatCreateMPIMatConcatenateSeqMat_MPIDense(MPI_Comm comm, Mat inmat, PetscInt n, MatReuse scall, Mat *outmat) 1503 { 1504 Mat_MPIDense *mat; 1505 PetscInt m, nloc, N; 1506 1507 PetscFunctionBegin; 1508 PetscCall(MatGetSize(inmat, &m, &N)); 1509 PetscCall(MatGetLocalSize(inmat, NULL, &nloc)); 1510 if (scall == MAT_INITIAL_MATRIX) { /* symbolic phase */ 1511 PetscInt sum; 1512 1513 if (n == PETSC_DECIDE) PetscCall(PetscSplitOwnership(comm, &n, &N)); 1514 /* Check sum(n) = N */ 1515 PetscCallMPI(MPIU_Allreduce(&n, &sum, 1, MPIU_INT, MPI_SUM, comm)); 1516 PetscCheck(sum == N, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "Sum of local columns %" PetscInt_FMT " != global columns %" PetscInt_FMT, sum, N); 1517 1518 PetscCall(MatCreateDense(comm, m, n, PETSC_DETERMINE, N, NULL, outmat)); 1519 PetscCall(MatSetOption(*outmat, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE)); 1520 } 1521 1522 /* numeric phase */ 1523 mat = (Mat_MPIDense *)(*outmat)->data; 1524 PetscCall(MatCopy(inmat, mat->A, SAME_NONZERO_PATTERN)); 1525 PetscFunctionReturn(PETSC_SUCCESS); 1526 } 1527 1528 PetscErrorCode MatDenseGetColumnVec_MPIDense(Mat A, PetscInt col, Vec *v) 1529 { 1530 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1531 PetscInt lda; 1532 1533 PetscFunctionBegin; 1534 PetscCheck(!a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 1535 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1536 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 1537 a->vecinuse = col + 1; 1538 PetscCall(MatDenseGetLDA(a->A, &lda)); 1539 PetscCall(MatDenseGetArray(a->A, (PetscScalar **)&a->ptrinuse)); 1540 PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)lda))); 1541 *v = a->cvec; 1542 PetscFunctionReturn(PETSC_SUCCESS); 1543 } 1544 1545 PetscErrorCode MatDenseRestoreColumnVec_MPIDense(Mat A, PetscInt col, Vec *v) 1546 { 1547 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1548 1549 PetscFunctionBegin; 1550 PetscCheck(a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 1551 PetscCheck(a->cvec, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column vector"); 1552 VecCheckAssembled(a->cvec); 1553 a->vecinuse = 0; 1554 PetscCall(MatDenseRestoreArray(a->A, (PetscScalar **)&a->ptrinuse)); 1555 PetscCall(VecResetArray(a->cvec)); 1556 if (v) *v = NULL; 1557 PetscFunctionReturn(PETSC_SUCCESS); 1558 } 1559 1560 PetscErrorCode MatDenseGetColumnVecRead_MPIDense(Mat A, PetscInt col, Vec *v) 1561 { 1562 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1563 PetscInt lda; 1564 1565 PetscFunctionBegin; 1566 PetscCheck(!a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 1567 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1568 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 1569 a->vecinuse = col + 1; 1570 PetscCall(MatDenseGetLDA(a->A, &lda)); 1571 PetscCall(MatDenseGetArrayRead(a->A, &a->ptrinuse)); 1572 PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)lda))); 1573 PetscCall(VecLockReadPush(a->cvec)); 1574 *v = a->cvec; 1575 PetscFunctionReturn(PETSC_SUCCESS); 1576 } 1577 1578 PetscErrorCode MatDenseRestoreColumnVecRead_MPIDense(Mat A, PetscInt col, Vec *v) 1579 { 1580 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1581 1582 PetscFunctionBegin; 1583 PetscCheck(a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 1584 PetscCheck(a->cvec, PetscObjectComm((PetscObject)A), PETSC_ERR_PLIB, "Missing internal column vector"); 1585 VecCheckAssembled(a->cvec); 1586 a->vecinuse = 0; 1587 PetscCall(MatDenseRestoreArrayRead(a->A, &a->ptrinuse)); 1588 PetscCall(VecLockReadPop(a->cvec)); 1589 PetscCall(VecResetArray(a->cvec)); 1590 if (v) *v = NULL; 1591 PetscFunctionReturn(PETSC_SUCCESS); 1592 } 1593 1594 PetscErrorCode MatDenseGetColumnVecWrite_MPIDense(Mat A, PetscInt col, Vec *v) 1595 { 1596 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1597 PetscInt lda; 1598 1599 PetscFunctionBegin; 1600 PetscCheck(!a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 1601 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1602 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 1603 a->vecinuse = col + 1; 1604 PetscCall(MatDenseGetLDA(a->A, &lda)); 1605 PetscCall(MatDenseGetArrayWrite(a->A, (PetscScalar **)&a->ptrinuse)); 1606 PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)lda))); 1607 *v = a->cvec; 1608 PetscFunctionReturn(PETSC_SUCCESS); 1609 } 1610 1611 PetscErrorCode MatDenseRestoreColumnVecWrite_MPIDense(Mat A, PetscInt col, Vec *v) 1612 { 1613 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1614 1615 PetscFunctionBegin; 1616 PetscCheck(a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 1617 PetscCheck(a->cvec, PetscObjectComm((PetscObject)A), PETSC_ERR_PLIB, "Missing internal column vector"); 1618 VecCheckAssembled(a->cvec); 1619 a->vecinuse = 0; 1620 PetscCall(MatDenseRestoreArrayWrite(a->A, (PetscScalar **)&a->ptrinuse)); 1621 PetscCall(VecResetArray(a->cvec)); 1622 if (v) *v = NULL; 1623 PetscFunctionReturn(PETSC_SUCCESS); 1624 } 1625 1626 static PetscErrorCode MatDenseGetSubMatrix_MPIDense(Mat A, PetscInt rbegin, PetscInt rend, PetscInt cbegin, PetscInt cend, Mat *v) 1627 { 1628 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1629 Mat_MPIDense *c; 1630 MPI_Comm comm; 1631 PetscInt pbegin, pend; 1632 1633 PetscFunctionBegin; 1634 PetscCall(PetscObjectGetComm((PetscObject)A, &comm)); 1635 PetscCheck(!a->vecinuse, comm, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 1636 PetscCheck(!a->matinuse, comm, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1637 pbegin = PetscMax(0, PetscMin(A->rmap->rend, rbegin) - A->rmap->rstart); 1638 pend = PetscMin(A->rmap->n, PetscMax(0, rend - A->rmap->rstart)); 1639 if (!a->cmat) { 1640 PetscCall(MatCreate(comm, &a->cmat)); 1641 PetscCall(MatSetType(a->cmat, ((PetscObject)A)->type_name)); 1642 if (rend - rbegin == A->rmap->N) PetscCall(PetscLayoutReference(A->rmap, &a->cmat->rmap)); 1643 else { 1644 PetscCall(PetscLayoutSetLocalSize(a->cmat->rmap, pend - pbegin)); 1645 PetscCall(PetscLayoutSetSize(a->cmat->rmap, rend - rbegin)); 1646 PetscCall(PetscLayoutSetUp(a->cmat->rmap)); 1647 } 1648 PetscCall(PetscLayoutSetSize(a->cmat->cmap, cend - cbegin)); 1649 PetscCall(PetscLayoutSetUp(a->cmat->cmap)); 1650 } else { 1651 PetscBool same = (PetscBool)(rend - rbegin == a->cmat->rmap->N); 1652 if (same && a->cmat->rmap->N != A->rmap->N) { 1653 same = (PetscBool)(pend - pbegin == a->cmat->rmap->n); 1654 PetscCallMPI(MPIU_Allreduce(MPI_IN_PLACE, &same, 1, MPIU_BOOL, MPI_LAND, PetscObjectComm((PetscObject)A))); 1655 } 1656 if (!same) { 1657 PetscCall(PetscLayoutDestroy(&a->cmat->rmap)); 1658 PetscCall(PetscLayoutCreate(comm, &a->cmat->rmap)); 1659 PetscCall(PetscLayoutSetLocalSize(a->cmat->rmap, pend - pbegin)); 1660 PetscCall(PetscLayoutSetSize(a->cmat->rmap, rend - rbegin)); 1661 PetscCall(PetscLayoutSetUp(a->cmat->rmap)); 1662 } 1663 if (cend - cbegin != a->cmat->cmap->N) { 1664 PetscCall(PetscLayoutDestroy(&a->cmat->cmap)); 1665 PetscCall(PetscLayoutCreate(comm, &a->cmat->cmap)); 1666 PetscCall(PetscLayoutSetSize(a->cmat->cmap, cend - cbegin)); 1667 PetscCall(PetscLayoutSetUp(a->cmat->cmap)); 1668 } 1669 } 1670 c = (Mat_MPIDense *)a->cmat->data; 1671 PetscCheck(!c->A, comm, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1672 PetscCall(MatDenseGetSubMatrix(a->A, pbegin, pend, cbegin, cend, &c->A)); 1673 1674 a->cmat->preallocated = PETSC_TRUE; 1675 a->cmat->assembled = PETSC_TRUE; 1676 #if defined(PETSC_HAVE_DEVICE) 1677 a->cmat->offloadmask = c->A->offloadmask; 1678 #endif 1679 a->matinuse = cbegin + 1; 1680 *v = a->cmat; 1681 PetscFunctionReturn(PETSC_SUCCESS); 1682 } 1683 1684 static PetscErrorCode MatDenseRestoreSubMatrix_MPIDense(Mat A, Mat *v) 1685 { 1686 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1687 Mat_MPIDense *c; 1688 1689 PetscFunctionBegin; 1690 PetscCheck(a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseGetSubMatrix() first"); 1691 PetscCheck(a->cmat, PetscObjectComm((PetscObject)A), PETSC_ERR_PLIB, "Missing internal matrix"); 1692 PetscCheck(*v == a->cmat, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Not the matrix obtained from MatDenseGetSubMatrix()"); 1693 a->matinuse = 0; 1694 c = (Mat_MPIDense *)a->cmat->data; 1695 PetscCall(MatDenseRestoreSubMatrix(a->A, &c->A)); 1696 if (v) *v = NULL; 1697 #if defined(PETSC_HAVE_DEVICE) 1698 A->offloadmask = a->A->offloadmask; 1699 #endif 1700 PetscFunctionReturn(PETSC_SUCCESS); 1701 } 1702 1703 /*MC 1704 MATMPIDENSE - MATMPIDENSE = "mpidense" - A matrix type to be used for distributed dense matrices. 1705 1706 Options Database Key: 1707 . -mat_type mpidense - sets the matrix type to `MATMPIDENSE` during a call to `MatSetFromOptions()` 1708 1709 Level: beginner 1710 1711 .seealso: [](ch_matrices), `Mat`, `MatCreateDense()`, `MATSEQDENSE`, `MATDENSE` 1712 M*/ 1713 PetscErrorCode MatCreate_MPIDense(Mat mat) 1714 { 1715 Mat_MPIDense *a; 1716 1717 PetscFunctionBegin; 1718 PetscCall(PetscNew(&a)); 1719 mat->data = (void *)a; 1720 mat->ops[0] = MatOps_Values; 1721 1722 mat->insertmode = NOT_SET_VALUES; 1723 1724 /* build cache for off array entries formed */ 1725 a->donotstash = PETSC_FALSE; 1726 1727 PetscCall(MatStashCreate_Private(PetscObjectComm((PetscObject)mat), 1, &mat->stash)); 1728 1729 /* stuff used for matrix vector multiply */ 1730 a->lvec = NULL; 1731 a->Mvctx = NULL; 1732 a->roworiented = PETSC_TRUE; 1733 1734 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetLDA_C", MatDenseGetLDA_MPIDense)); 1735 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseSetLDA_C", MatDenseSetLDA_MPIDense)); 1736 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArray_C", MatDenseGetArray_MPIDense)); 1737 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArray_C", MatDenseRestoreArray_MPIDense)); 1738 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArrayRead_C", MatDenseGetArrayRead_MPIDense)); 1739 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArrayRead_C", MatDenseRestoreArrayRead_MPIDense)); 1740 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArrayWrite_C", MatDenseGetArrayWrite_MPIDense)); 1741 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArrayWrite_C", MatDenseRestoreArrayWrite_MPIDense)); 1742 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDensePlaceArray_C", MatDensePlaceArray_MPIDense)); 1743 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseResetArray_C", MatDenseResetArray_MPIDense)); 1744 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseReplaceArray_C", MatDenseReplaceArray_MPIDense)); 1745 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVec_C", MatDenseGetColumnVec_MPIDense)); 1746 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVec_C", MatDenseRestoreColumnVec_MPIDense)); 1747 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVecRead_C", MatDenseGetColumnVecRead_MPIDense)); 1748 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVecRead_C", MatDenseRestoreColumnVecRead_MPIDense)); 1749 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVecWrite_C", MatDenseGetColumnVecWrite_MPIDense)); 1750 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVecWrite_C", MatDenseRestoreColumnVecWrite_MPIDense)); 1751 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetSubMatrix_C", MatDenseGetSubMatrix_MPIDense)); 1752 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreSubMatrix_C", MatDenseRestoreSubMatrix_MPIDense)); 1753 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpiaij_mpidense_C", MatConvert_MPIAIJ_MPIDense)); 1754 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_mpiaij_C", MatConvert_MPIDense_MPIAIJ)); 1755 #if defined(PETSC_HAVE_ELEMENTAL) 1756 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_elemental_C", MatConvert_MPIDense_Elemental)); 1757 #endif 1758 #if defined(PETSC_HAVE_SCALAPACK) 1759 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_scalapack_C", MatConvert_Dense_ScaLAPACK)); 1760 #endif 1761 #if defined(PETSC_HAVE_CUDA) 1762 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_mpidensecuda_C", MatConvert_MPIDense_MPIDenseCUDA)); 1763 #endif 1764 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMPIDenseSetPreallocation_C", MatMPIDenseSetPreallocation_MPIDense)); 1765 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaij_mpidense_C", MatProductSetFromOptions_MPIAIJ_MPIDense)); 1766 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidense_mpiaij_C", MatProductSetFromOptions_MPIDense_MPIAIJ)); 1767 #if defined(PETSC_HAVE_CUDA) 1768 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaijcusparse_mpidense_C", MatProductSetFromOptions_MPIAIJ_MPIDense)); 1769 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidense_mpiaijcusparse_C", MatProductSetFromOptions_MPIDense_MPIAIJ)); 1770 #endif 1771 #if defined(PETSC_HAVE_HIP) 1772 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_mpidensehip_C", MatConvert_MPIDense_MPIDenseHIP)); 1773 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaijhipsparse_mpidense_C", MatProductSetFromOptions_MPIAIJ_MPIDense)); 1774 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidense_mpiaijhipsparse_C", MatProductSetFromOptions_MPIDense_MPIAIJ)); 1775 #endif 1776 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumn_C", MatDenseGetColumn_MPIDense)); 1777 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumn_C", MatDenseRestoreColumn_MPIDense)); 1778 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultAddColumnRange_C", MatMultAddColumnRange_MPIDense)); 1779 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultHermitianTransposeColumnRange_C", MatMultHermitianTransposeColumnRange_MPIDense)); 1780 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultHermitianTransposeAddColumnRange_C", MatMultHermitianTransposeAddColumnRange_MPIDense)); 1781 PetscCall(PetscObjectChangeTypeName((PetscObject)mat, MATMPIDENSE)); 1782 PetscFunctionReturn(PETSC_SUCCESS); 1783 } 1784 1785 /*MC 1786 MATDENSE - MATDENSE = "dense" - A matrix type to be used for dense matrices. 1787 1788 This matrix type is identical to `MATSEQDENSE` when constructed with a single process communicator, 1789 and `MATMPIDENSE` otherwise. 1790 1791 Options Database Key: 1792 . -mat_type dense - sets the matrix type to `MATDENSE` during a call to `MatSetFromOptions()` 1793 1794 Level: beginner 1795 1796 .seealso: [](ch_matrices), `Mat`, `MATSEQDENSE`, `MATMPIDENSE`, `MATDENSECUDA`, `MATDENSEHIP` 1797 M*/ 1798 1799 /*@ 1800 MatMPIDenseSetPreallocation - Sets the array used to store the matrix entries 1801 1802 Collective 1803 1804 Input Parameters: 1805 + B - the matrix 1806 - data - optional location of matrix data. Set to `NULL` for PETSc 1807 to control all matrix memory allocation. 1808 1809 Level: intermediate 1810 1811 Notes: 1812 The dense format is fully compatible with standard Fortran 1813 storage by columns. 1814 1815 The data input variable is intended primarily for Fortran programmers 1816 who wish to allocate their own matrix memory space. Most users should 1817 set `data` to `NULL`. 1818 1819 .seealso: [](ch_matrices), `Mat`, `MATMPIDENSE`, `MatCreate()`, `MatCreateSeqDense()`, `MatSetValues()` 1820 @*/ 1821 PetscErrorCode MatMPIDenseSetPreallocation(Mat B, PetscScalar *data) 1822 { 1823 PetscFunctionBegin; 1824 PetscValidHeaderSpecific(B, MAT_CLASSID, 1); 1825 PetscTryMethod(B, "MatMPIDenseSetPreallocation_C", (Mat, PetscScalar *), (B, data)); 1826 PetscFunctionReturn(PETSC_SUCCESS); 1827 } 1828 1829 /*@ 1830 MatDensePlaceArray - Allows one to replace the array in a `MATDENSE` matrix with an 1831 array provided by the user. This is useful to avoid copying an array 1832 into a matrix 1833 1834 Not Collective 1835 1836 Input Parameters: 1837 + mat - the matrix 1838 - array - the array in column major order 1839 1840 Level: developer 1841 1842 Note: 1843 You can return to the original array with a call to `MatDenseResetArray()`. The user is responsible for freeing this array; it will not be 1844 freed when the matrix is destroyed. 1845 1846 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArray()`, `MatDenseResetArray()`, `VecPlaceArray()`, `VecGetArray()`, `VecRestoreArray()`, `VecReplaceArray()`, `VecResetArray()`, 1847 `MatDenseReplaceArray()` 1848 @*/ 1849 PetscErrorCode MatDensePlaceArray(Mat mat, const PetscScalar *array) 1850 { 1851 PetscFunctionBegin; 1852 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 1853 PetscUseMethod(mat, "MatDensePlaceArray_C", (Mat, const PetscScalar *), (mat, array)); 1854 PetscCall(PetscObjectStateIncrease((PetscObject)mat)); 1855 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 1856 mat->offloadmask = PETSC_OFFLOAD_CPU; 1857 #endif 1858 PetscFunctionReturn(PETSC_SUCCESS); 1859 } 1860 1861 /*@ 1862 MatDenseResetArray - Resets the matrix array to that it previously had before the call to `MatDensePlaceArray()` 1863 1864 Not Collective 1865 1866 Input Parameter: 1867 . mat - the matrix 1868 1869 Level: developer 1870 1871 Note: 1872 You can only call this after a call to `MatDensePlaceArray()` 1873 1874 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArray()`, `MatDensePlaceArray()`, `VecPlaceArray()`, `VecGetArray()`, `VecRestoreArray()`, `VecReplaceArray()`, `VecResetArray()` 1875 @*/ 1876 PetscErrorCode MatDenseResetArray(Mat mat) 1877 { 1878 PetscFunctionBegin; 1879 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 1880 PetscUseMethod(mat, "MatDenseResetArray_C", (Mat), (mat)); 1881 PetscCall(PetscObjectStateIncrease((PetscObject)mat)); 1882 PetscFunctionReturn(PETSC_SUCCESS); 1883 } 1884 1885 /*@ 1886 MatDenseReplaceArray - Allows one to replace the array in a dense matrix with an 1887 array provided by the user. This is useful to avoid copying an array 1888 into a matrix 1889 1890 Not Collective 1891 1892 Input Parameters: 1893 + mat - the matrix 1894 - array - the array in column major order 1895 1896 Level: developer 1897 1898 Note: 1899 The memory passed in MUST be obtained with `PetscMalloc()` and CANNOT be 1900 freed by the user. It will be freed when the matrix is destroyed. 1901 1902 .seealso: [](ch_matrices), `Mat`, `MatDensePlaceArray()`, `MatDenseGetArray()`, `VecReplaceArray()` 1903 @*/ 1904 PetscErrorCode MatDenseReplaceArray(Mat mat, const PetscScalar *array) 1905 { 1906 PetscFunctionBegin; 1907 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 1908 PetscUseMethod(mat, "MatDenseReplaceArray_C", (Mat, const PetscScalar *), (mat, array)); 1909 PetscCall(PetscObjectStateIncrease((PetscObject)mat)); 1910 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 1911 mat->offloadmask = PETSC_OFFLOAD_CPU; 1912 #endif 1913 PetscFunctionReturn(PETSC_SUCCESS); 1914 } 1915 1916 /*@ 1917 MatCreateDense - Creates a matrix in `MATDENSE` format. 1918 1919 Collective 1920 1921 Input Parameters: 1922 + comm - MPI communicator 1923 . m - number of local rows (or `PETSC_DECIDE` to have calculated if `M` is given) 1924 . n - number of local columns (or `PETSC_DECIDE` to have calculated if `N` is given) 1925 . M - number of global rows (or `PETSC_DECIDE` to have calculated if `m` is given) 1926 . N - number of global columns (or `PETSC_DECIDE` to have calculated if `n` is given) 1927 - data - optional location of matrix data. Set data to `NULL` (`PETSC_NULL_SCALAR` for Fortran users) for PETSc 1928 to control all matrix memory allocation. 1929 1930 Output Parameter: 1931 . A - the matrix 1932 1933 Level: intermediate 1934 1935 Notes: 1936 The dense format is fully compatible with standard Fortran 1937 storage by columns. 1938 1939 Although local portions of the matrix are stored in column-major 1940 order, the matrix is partitioned across MPI ranks by row. 1941 1942 The data input variable is intended primarily for Fortran programmers 1943 who wish to allocate their own matrix memory space. Most users should 1944 set `data` to `NULL` (`PETSC_NULL_SCALAR` for Fortran users). 1945 1946 The user MUST specify either the local or global matrix dimensions 1947 (possibly both). 1948 1949 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatCreate()`, `MatCreateSeqDense()`, `MatSetValues()` 1950 @*/ 1951 PetscErrorCode MatCreateDense(MPI_Comm comm, PetscInt m, PetscInt n, PetscInt M, PetscInt N, PetscScalar *data, Mat *A) 1952 { 1953 PetscFunctionBegin; 1954 PetscCall(MatCreate(comm, A)); 1955 PetscCall(MatSetSizes(*A, m, n, M, N)); 1956 PetscCall(MatSetType(*A, MATDENSE)); 1957 PetscCall(MatSeqDenseSetPreallocation(*A, data)); 1958 PetscCall(MatMPIDenseSetPreallocation(*A, data)); 1959 PetscFunctionReturn(PETSC_SUCCESS); 1960 } 1961 1962 static PetscErrorCode MatDuplicate_MPIDense(Mat A, MatDuplicateOption cpvalues, Mat *newmat) 1963 { 1964 Mat mat; 1965 Mat_MPIDense *a, *oldmat = (Mat_MPIDense *)A->data; 1966 1967 PetscFunctionBegin; 1968 *newmat = NULL; 1969 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &mat)); 1970 PetscCall(MatSetSizes(mat, A->rmap->n, A->cmap->n, A->rmap->N, A->cmap->N)); 1971 PetscCall(MatSetType(mat, ((PetscObject)A)->type_name)); 1972 a = (Mat_MPIDense *)mat->data; 1973 1974 mat->factortype = A->factortype; 1975 mat->assembled = PETSC_TRUE; 1976 mat->preallocated = PETSC_TRUE; 1977 1978 mat->insertmode = NOT_SET_VALUES; 1979 a->donotstash = oldmat->donotstash; 1980 1981 PetscCall(PetscLayoutReference(A->rmap, &mat->rmap)); 1982 PetscCall(PetscLayoutReference(A->cmap, &mat->cmap)); 1983 1984 PetscCall(MatDuplicate(oldmat->A, cpvalues, &a->A)); 1985 1986 *newmat = mat; 1987 PetscFunctionReturn(PETSC_SUCCESS); 1988 } 1989 1990 static PetscErrorCode MatLoad_MPIDense(Mat newMat, PetscViewer viewer) 1991 { 1992 PetscBool isbinary; 1993 #if defined(PETSC_HAVE_HDF5) 1994 PetscBool ishdf5; 1995 #endif 1996 1997 PetscFunctionBegin; 1998 PetscValidHeaderSpecific(newMat, MAT_CLASSID, 1); 1999 PetscValidHeaderSpecific(viewer, PETSC_VIEWER_CLASSID, 2); 2000 /* force binary viewer to load .info file if it has not yet done so */ 2001 PetscCall(PetscViewerSetUp(viewer)); 2002 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary)); 2003 #if defined(PETSC_HAVE_HDF5) 2004 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERHDF5, &ishdf5)); 2005 #endif 2006 if (isbinary) { 2007 PetscCall(MatLoad_Dense_Binary(newMat, viewer)); 2008 #if defined(PETSC_HAVE_HDF5) 2009 } else if (ishdf5) { 2010 PetscCall(MatLoad_Dense_HDF5(newMat, viewer)); 2011 #endif 2012 } else SETERRQ(PetscObjectComm((PetscObject)newMat), PETSC_ERR_SUP, "Viewer type %s not yet supported for reading %s matrices", ((PetscObject)viewer)->type_name, ((PetscObject)newMat)->type_name); 2013 PetscFunctionReturn(PETSC_SUCCESS); 2014 } 2015 2016 static PetscErrorCode MatEqual_MPIDense(Mat A, Mat B, PetscBool *flag) 2017 { 2018 Mat_MPIDense *matB = (Mat_MPIDense *)B->data, *matA = (Mat_MPIDense *)A->data; 2019 Mat a, b; 2020 2021 PetscFunctionBegin; 2022 a = matA->A; 2023 b = matB->A; 2024 PetscCall(MatEqual(a, b, flag)); 2025 PetscCallMPI(MPIU_Allreduce(MPI_IN_PLACE, flag, 1, MPIU_BOOL, MPI_LAND, PetscObjectComm((PetscObject)A))); 2026 PetscFunctionReturn(PETSC_SUCCESS); 2027 } 2028 2029 static PetscErrorCode MatDestroy_MatTransMatMult_MPIDense_MPIDense(void *data) 2030 { 2031 Mat_TransMatMultDense *atb = (Mat_TransMatMultDense *)data; 2032 2033 PetscFunctionBegin; 2034 PetscCall(PetscFree2(atb->sendbuf, atb->recvcounts)); 2035 PetscCall(MatDestroy(&atb->atb)); 2036 PetscCall(PetscFree(atb)); 2037 PetscFunctionReturn(PETSC_SUCCESS); 2038 } 2039 2040 static PetscErrorCode MatDestroy_MatMatTransMult_MPIDense_MPIDense(void *data) 2041 { 2042 Mat_MatTransMultDense *abt = (Mat_MatTransMultDense *)data; 2043 2044 PetscFunctionBegin; 2045 PetscCall(PetscFree2(abt->buf[0], abt->buf[1])); 2046 PetscCall(PetscFree2(abt->recvcounts, abt->recvdispls)); 2047 PetscCall(PetscFree(abt)); 2048 PetscFunctionReturn(PETSC_SUCCESS); 2049 } 2050 2051 static PetscErrorCode MatTransposeMatMultNumeric_MPIDense_MPIDense(Mat A, Mat B, Mat C) 2052 { 2053 Mat_MPIDense *a = (Mat_MPIDense *)A->data, *b = (Mat_MPIDense *)B->data, *c = (Mat_MPIDense *)C->data; 2054 Mat_TransMatMultDense *atb; 2055 MPI_Comm comm; 2056 PetscMPIInt size, *recvcounts; 2057 PetscScalar *carray, *sendbuf; 2058 const PetscScalar *atbarray; 2059 PetscInt i, cN = C->cmap->N, proc, k, j, lda; 2060 const PetscInt *ranges; 2061 2062 PetscFunctionBegin; 2063 MatCheckProduct(C, 3); 2064 PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data empty"); 2065 atb = (Mat_TransMatMultDense *)C->product->data; 2066 recvcounts = atb->recvcounts; 2067 sendbuf = atb->sendbuf; 2068 2069 PetscCall(PetscObjectGetComm((PetscObject)A, &comm)); 2070 PetscCallMPI(MPI_Comm_size(comm, &size)); 2071 2072 /* compute atbarray = aseq^T * bseq */ 2073 PetscCall(MatTransposeMatMult(a->A, b->A, atb->atb ? MAT_REUSE_MATRIX : MAT_INITIAL_MATRIX, PETSC_DETERMINE, &atb->atb)); 2074 2075 PetscCall(MatGetOwnershipRanges(C, &ranges)); 2076 2077 /* arrange atbarray into sendbuf */ 2078 PetscCall(MatDenseGetArrayRead(atb->atb, &atbarray)); 2079 PetscCall(MatDenseGetLDA(atb->atb, &lda)); 2080 for (proc = 0, k = 0; proc < size; proc++) { 2081 for (j = 0; j < cN; j++) { 2082 for (i = ranges[proc]; i < ranges[proc + 1]; i++) sendbuf[k++] = atbarray[i + j * lda]; 2083 } 2084 } 2085 PetscCall(MatDenseRestoreArrayRead(atb->atb, &atbarray)); 2086 2087 /* sum all atbarray to local values of C */ 2088 PetscCall(MatDenseGetArrayWrite(c->A, &carray)); 2089 PetscCallMPI(MPI_Reduce_scatter(sendbuf, carray, recvcounts, MPIU_SCALAR, MPIU_SUM, comm)); 2090 PetscCall(MatDenseRestoreArrayWrite(c->A, &carray)); 2091 PetscCall(MatSetOption(C, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE)); 2092 PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY)); 2093 PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY)); 2094 PetscFunctionReturn(PETSC_SUCCESS); 2095 } 2096 2097 static PetscErrorCode MatTransposeMatMultSymbolic_MPIDense_MPIDense(Mat A, Mat B, PetscReal fill, Mat C) 2098 { 2099 MPI_Comm comm; 2100 PetscMPIInt size; 2101 PetscInt cm = A->cmap->n, cM, cN = B->cmap->N; 2102 Mat_TransMatMultDense *atb; 2103 PetscBool cisdense = PETSC_FALSE; 2104 const PetscInt *ranges; 2105 2106 PetscFunctionBegin; 2107 MatCheckProduct(C, 4); 2108 PetscCheck(!C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data not empty"); 2109 PetscCall(PetscObjectGetComm((PetscObject)A, &comm)); 2110 if (A->rmap->rstart != B->rmap->rstart || A->rmap->rend != B->rmap->rend) { 2111 SETERRQ(comm, PETSC_ERR_ARG_SIZ, "Matrix local dimensions are incompatible, A (%" PetscInt_FMT ", %" PetscInt_FMT ") != B (%" PetscInt_FMT ",%" PetscInt_FMT ")", A->rmap->rstart, A->rmap->rend, B->rmap->rstart, B->rmap->rend); 2112 } 2113 2114 /* create matrix product C */ 2115 PetscCall(MatSetSizes(C, cm, B->cmap->n, A->cmap->N, B->cmap->N)); 2116 #if defined(PETSC_HAVE_CUDA) 2117 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATMPIDENSE, MATMPIDENSECUDA, "")); 2118 #endif 2119 #if defined(PETSC_HAVE_HIP) 2120 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATMPIDENSE, MATMPIDENSEHIP, "")); 2121 #endif 2122 if (!cisdense) PetscCall(MatSetType(C, ((PetscObject)A)->type_name)); 2123 PetscCall(MatSetUp(C)); 2124 2125 /* create data structure for reuse C */ 2126 PetscCallMPI(MPI_Comm_size(comm, &size)); 2127 PetscCall(PetscNew(&atb)); 2128 cM = C->rmap->N; 2129 PetscCall(PetscMalloc2(cM * cN, &atb->sendbuf, size, &atb->recvcounts)); 2130 PetscCall(MatGetOwnershipRanges(C, &ranges)); 2131 for (PetscMPIInt i = 0; i < size; i++) PetscCall(PetscMPIIntCast((ranges[i + 1] - ranges[i]) * cN, &atb->recvcounts[i])); 2132 C->product->data = atb; 2133 C->product->destroy = MatDestroy_MatTransMatMult_MPIDense_MPIDense; 2134 PetscFunctionReturn(PETSC_SUCCESS); 2135 } 2136 2137 static PetscErrorCode MatMatTransposeMultSymbolic_MPIDense_MPIDense(Mat A, Mat B, PetscReal fill, Mat C) 2138 { 2139 MPI_Comm comm; 2140 PetscMPIInt i, size; 2141 PetscInt maxRows, bufsiz; 2142 PetscMPIInt tag; 2143 PetscInt alg; 2144 Mat_MatTransMultDense *abt; 2145 Mat_Product *product = C->product; 2146 PetscBool flg; 2147 2148 PetscFunctionBegin; 2149 MatCheckProduct(C, 4); 2150 PetscCheck(!C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data not empty"); 2151 /* check local size of A and B */ 2152 PetscCheck(A->cmap->n == B->cmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Matrix local column dimensions are incompatible, A (%" PetscInt_FMT ") != B (%" PetscInt_FMT ")", A->cmap->n, B->cmap->n); 2153 2154 PetscCall(PetscStrcmp(product->alg, "allgatherv", &flg)); 2155 alg = flg ? 0 : 1; 2156 2157 /* setup matrix product C */ 2158 PetscCall(MatSetSizes(C, A->rmap->n, B->rmap->n, A->rmap->N, B->rmap->N)); 2159 PetscCall(MatSetType(C, MATMPIDENSE)); 2160 PetscCall(MatSetUp(C)); 2161 PetscCall(PetscObjectGetNewTag((PetscObject)C, &tag)); 2162 2163 /* create data structure for reuse C */ 2164 PetscCall(PetscObjectGetComm((PetscObject)C, &comm)); 2165 PetscCallMPI(MPI_Comm_size(comm, &size)); 2166 PetscCall(PetscNew(&abt)); 2167 abt->tag = tag; 2168 abt->alg = alg; 2169 switch (alg) { 2170 case 1: /* alg: "cyclic" */ 2171 for (maxRows = 0, i = 0; i < size; i++) maxRows = PetscMax(maxRows, B->rmap->range[i + 1] - B->rmap->range[i]); 2172 bufsiz = A->cmap->N * maxRows; 2173 PetscCall(PetscMalloc2(bufsiz, &abt->buf[0], bufsiz, &abt->buf[1])); 2174 break; 2175 default: /* alg: "allgatherv" */ 2176 PetscCall(PetscMalloc2(B->rmap->n * B->cmap->N, &abt->buf[0], B->rmap->N * B->cmap->N, &abt->buf[1])); 2177 PetscCall(PetscMalloc2(size, &abt->recvcounts, size + 1, &abt->recvdispls)); 2178 for (i = 0; i <= size; i++) PetscCall(PetscMPIIntCast(B->rmap->range[i] * A->cmap->N, &abt->recvdispls[i])); 2179 for (i = 0; i < size; i++) PetscCall(PetscMPIIntCast(abt->recvdispls[i + 1] - abt->recvdispls[i], &abt->recvcounts[i])); 2180 break; 2181 } 2182 2183 C->product->data = abt; 2184 C->product->destroy = MatDestroy_MatMatTransMult_MPIDense_MPIDense; 2185 C->ops->mattransposemultnumeric = MatMatTransposeMultNumeric_MPIDense_MPIDense; 2186 PetscFunctionReturn(PETSC_SUCCESS); 2187 } 2188 2189 static PetscErrorCode MatMatTransposeMultNumeric_MPIDense_MPIDense_Cyclic(Mat A, Mat B, Mat C) 2190 { 2191 Mat_MPIDense *a = (Mat_MPIDense *)A->data, *b = (Mat_MPIDense *)B->data, *c = (Mat_MPIDense *)C->data; 2192 Mat_MatTransMultDense *abt; 2193 MPI_Comm comm; 2194 PetscMPIInt rank, size, sendto, recvfrom, recvisfrom; 2195 PetscScalar *sendbuf, *recvbuf = NULL, *cv; 2196 PetscInt i, cK = A->cmap->N, sendsiz, recvsiz, k, j, bn; 2197 PetscScalar _DOne = 1.0, _DZero = 0.0; 2198 const PetscScalar *av, *bv; 2199 PetscBLASInt cm, cn, ck, alda, blda = 0, clda; 2200 MPI_Request reqs[2]; 2201 const PetscInt *ranges; 2202 2203 PetscFunctionBegin; 2204 MatCheckProduct(C, 3); 2205 PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data empty"); 2206 abt = (Mat_MatTransMultDense *)C->product->data; 2207 PetscCall(PetscObjectGetComm((PetscObject)C, &comm)); 2208 PetscCallMPI(MPI_Comm_rank(comm, &rank)); 2209 PetscCallMPI(MPI_Comm_size(comm, &size)); 2210 PetscCall(MatDenseGetArrayRead(a->A, &av)); 2211 PetscCall(MatDenseGetArrayRead(b->A, &bv)); 2212 PetscCall(MatDenseGetArrayWrite(c->A, &cv)); 2213 PetscCall(MatDenseGetLDA(a->A, &i)); 2214 PetscCall(PetscBLASIntCast(i, &alda)); 2215 PetscCall(MatDenseGetLDA(b->A, &i)); 2216 PetscCall(PetscBLASIntCast(i, &blda)); 2217 PetscCall(MatDenseGetLDA(c->A, &i)); 2218 PetscCall(PetscBLASIntCast(i, &clda)); 2219 PetscCall(MatGetOwnershipRanges(B, &ranges)); 2220 bn = B->rmap->n; 2221 if (blda == bn) { 2222 sendbuf = (PetscScalar *)bv; 2223 } else { 2224 sendbuf = abt->buf[0]; 2225 for (k = 0, i = 0; i < cK; i++) { 2226 for (j = 0; j < bn; j++, k++) sendbuf[k] = bv[i * blda + j]; 2227 } 2228 } 2229 if (size > 1) { 2230 sendto = (rank + size - 1) % size; 2231 recvfrom = (rank + size + 1) % size; 2232 } else { 2233 sendto = recvfrom = 0; 2234 } 2235 PetscCall(PetscBLASIntCast(cK, &ck)); 2236 PetscCall(PetscBLASIntCast(c->A->rmap->n, &cm)); 2237 recvisfrom = rank; 2238 for (i = 0; i < size; i++) { 2239 /* we have finished receiving in sending, bufs can be read/modified */ 2240 PetscMPIInt nextrecvisfrom = (recvisfrom + 1) % size; /* which process the next recvbuf will originate on */ 2241 PetscInt nextbn = ranges[nextrecvisfrom + 1] - ranges[nextrecvisfrom]; 2242 2243 if (nextrecvisfrom != rank) { 2244 /* start the cyclic sends from sendbuf, to recvbuf (which will switch to sendbuf) */ 2245 sendsiz = cK * bn; 2246 recvsiz = cK * nextbn; 2247 recvbuf = (i & 1) ? abt->buf[0] : abt->buf[1]; 2248 PetscCallMPI(MPIU_Isend(sendbuf, sendsiz, MPIU_SCALAR, sendto, abt->tag, comm, &reqs[0])); 2249 PetscCallMPI(MPIU_Irecv(recvbuf, recvsiz, MPIU_SCALAR, recvfrom, abt->tag, comm, &reqs[1])); 2250 } 2251 2252 /* local aseq * sendbuf^T */ 2253 PetscCall(PetscBLASIntCast(ranges[recvisfrom + 1] - ranges[recvisfrom], &cn)); 2254 if (cm && cn && ck) PetscCallBLAS("BLASgemm", BLASgemm_("N", "T", &cm, &cn, &ck, &_DOne, av, &alda, sendbuf, &cn, &_DZero, cv + clda * ranges[recvisfrom], &clda)); 2255 2256 if (nextrecvisfrom != rank) { 2257 /* wait for the sends and receives to complete, swap sendbuf and recvbuf */ 2258 PetscCallMPI(MPI_Waitall(2, reqs, MPI_STATUSES_IGNORE)); 2259 } 2260 bn = nextbn; 2261 recvisfrom = nextrecvisfrom; 2262 sendbuf = recvbuf; 2263 } 2264 PetscCall(MatDenseRestoreArrayRead(a->A, &av)); 2265 PetscCall(MatDenseRestoreArrayRead(b->A, &bv)); 2266 PetscCall(MatDenseRestoreArrayWrite(c->A, &cv)); 2267 PetscCall(MatSetOption(C, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE)); 2268 PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY)); 2269 PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY)); 2270 PetscFunctionReturn(PETSC_SUCCESS); 2271 } 2272 2273 static PetscErrorCode MatMatTransposeMultNumeric_MPIDense_MPIDense_Allgatherv(Mat A, Mat B, Mat C) 2274 { 2275 Mat_MPIDense *a = (Mat_MPIDense *)A->data, *b = (Mat_MPIDense *)B->data, *c = (Mat_MPIDense *)C->data; 2276 Mat_MatTransMultDense *abt; 2277 MPI_Comm comm; 2278 PetscMPIInt size, ibn; 2279 PetscScalar *cv, *sendbuf, *recvbuf; 2280 const PetscScalar *av, *bv; 2281 PetscInt blda, i, cK = A->cmap->N, k, j, bn; 2282 PetscScalar _DOne = 1.0, _DZero = 0.0; 2283 PetscBLASInt cm, cn, ck, alda, clda; 2284 2285 PetscFunctionBegin; 2286 MatCheckProduct(C, 3); 2287 PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data empty"); 2288 abt = (Mat_MatTransMultDense *)C->product->data; 2289 PetscCall(PetscObjectGetComm((PetscObject)A, &comm)); 2290 PetscCallMPI(MPI_Comm_size(comm, &size)); 2291 PetscCall(MatDenseGetArrayRead(a->A, &av)); 2292 PetscCall(MatDenseGetArrayRead(b->A, &bv)); 2293 PetscCall(MatDenseGetArrayWrite(c->A, &cv)); 2294 PetscCall(MatDenseGetLDA(a->A, &i)); 2295 PetscCall(PetscBLASIntCast(i, &alda)); 2296 PetscCall(MatDenseGetLDA(b->A, &blda)); 2297 PetscCall(MatDenseGetLDA(c->A, &i)); 2298 PetscCall(PetscBLASIntCast(i, &clda)); 2299 /* copy transpose of B into buf[0] */ 2300 bn = B->rmap->n; 2301 sendbuf = abt->buf[0]; 2302 recvbuf = abt->buf[1]; 2303 for (k = 0, j = 0; j < bn; j++) { 2304 for (i = 0; i < cK; i++, k++) sendbuf[k] = bv[i * blda + j]; 2305 } 2306 PetscCall(MatDenseRestoreArrayRead(b->A, &bv)); 2307 PetscCall(PetscMPIIntCast(bn * cK, &ibn)); 2308 PetscCallMPI(MPI_Allgatherv(sendbuf, ibn, MPIU_SCALAR, recvbuf, abt->recvcounts, abt->recvdispls, MPIU_SCALAR, comm)); 2309 PetscCall(PetscBLASIntCast(cK, &ck)); 2310 PetscCall(PetscBLASIntCast(c->A->rmap->n, &cm)); 2311 PetscCall(PetscBLASIntCast(c->A->cmap->n, &cn)); 2312 if (cm && cn && ck) PetscCallBLAS("BLASgemm", BLASgemm_("N", "N", &cm, &cn, &ck, &_DOne, av, &alda, recvbuf, &ck, &_DZero, cv, &clda)); 2313 PetscCall(MatDenseRestoreArrayRead(a->A, &av)); 2314 PetscCall(MatDenseRestoreArrayRead(b->A, &bv)); 2315 PetscCall(MatDenseRestoreArrayWrite(c->A, &cv)); 2316 PetscCall(MatSetOption(C, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE)); 2317 PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY)); 2318 PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY)); 2319 PetscFunctionReturn(PETSC_SUCCESS); 2320 } 2321 2322 static PetscErrorCode MatMatTransposeMultNumeric_MPIDense_MPIDense(Mat A, Mat B, Mat C) 2323 { 2324 Mat_MatTransMultDense *abt; 2325 2326 PetscFunctionBegin; 2327 MatCheckProduct(C, 3); 2328 PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data empty"); 2329 abt = (Mat_MatTransMultDense *)C->product->data; 2330 switch (abt->alg) { 2331 case 1: 2332 PetscCall(MatMatTransposeMultNumeric_MPIDense_MPIDense_Cyclic(A, B, C)); 2333 break; 2334 default: 2335 PetscCall(MatMatTransposeMultNumeric_MPIDense_MPIDense_Allgatherv(A, B, C)); 2336 break; 2337 } 2338 PetscFunctionReturn(PETSC_SUCCESS); 2339 } 2340 2341 static PetscErrorCode MatDestroy_MatMatMult_MPIDense_MPIDense(void *data) 2342 { 2343 Mat_MatMultDense *ab = (Mat_MatMultDense *)data; 2344 2345 PetscFunctionBegin; 2346 PetscCall(MatDestroy(&ab->Ce)); 2347 PetscCall(MatDestroy(&ab->Ae)); 2348 PetscCall(MatDestroy(&ab->Be)); 2349 PetscCall(PetscFree(ab)); 2350 PetscFunctionReturn(PETSC_SUCCESS); 2351 } 2352 2353 static PetscErrorCode MatMatMultNumeric_MPIDense_MPIDense(Mat A, Mat B, Mat C) 2354 { 2355 Mat_MatMultDense *ab; 2356 Mat_MPIDense *mdn = (Mat_MPIDense *)A->data; 2357 2358 PetscFunctionBegin; 2359 MatCheckProduct(C, 3); 2360 PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Missing product data"); 2361 ab = (Mat_MatMultDense *)C->product->data; 2362 if (ab->Ae && ab->Ce) { 2363 #if PetscDefined(HAVE_ELEMENTAL) 2364 PetscCall(MatConvert_MPIDense_Elemental(A, MATELEMENTAL, MAT_REUSE_MATRIX, &ab->Ae)); 2365 PetscCall(MatConvert_MPIDense_Elemental(B, MATELEMENTAL, MAT_REUSE_MATRIX, &ab->Be)); 2366 PetscCall(MatMatMultNumeric_Elemental(ab->Ae, ab->Be, ab->Ce)); 2367 PetscCall(MatConvert(ab->Ce, MATMPIDENSE, MAT_REUSE_MATRIX, &C)); 2368 #else 2369 SETERRQ(PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "PETSC_HAVE_ELEMENTAL not defined"); 2370 #endif 2371 } else { 2372 const PetscScalar *read; 2373 PetscScalar *write; 2374 PetscInt lda; 2375 2376 PetscCall(MatDenseGetLDA(B, &lda)); 2377 PetscCall(MatDenseGetArrayRead(B, &read)); 2378 PetscCall(MatDenseGetArrayWrite(ab->Be, &write)); 2379 if (!mdn->Mvctx) PetscCall(MatSetUpMultiply_MPIDense(A)); /* cannot be done during the symbolic phase because of possible calls to MatProductReplaceMats() */ 2380 for (PetscInt i = 0; i < C->cmap->N; ++i) { 2381 PetscCall(PetscSFBcastBegin(mdn->Mvctx, MPIU_SCALAR, read + i * lda, write + i * ab->Be->rmap->n, MPI_REPLACE)); 2382 PetscCall(PetscSFBcastEnd(mdn->Mvctx, MPIU_SCALAR, read + i * lda, write + i * ab->Be->rmap->n, MPI_REPLACE)); 2383 } 2384 PetscCall(MatDenseRestoreArrayWrite(ab->Be, &write)); 2385 PetscCall(MatDenseRestoreArrayRead(B, &read)); 2386 PetscCall(MatMatMultNumeric_SeqDense_SeqDense(((Mat_MPIDense *)A->data)->A, ab->Be, ((Mat_MPIDense *)C->data)->A)); 2387 } 2388 PetscFunctionReturn(PETSC_SUCCESS); 2389 } 2390 2391 static PetscErrorCode MatMatMultSymbolic_MPIDense_MPIDense(Mat A, Mat B, PetscReal fill, Mat C) 2392 { 2393 Mat_Product *product = C->product; 2394 PetscInt alg; 2395 Mat_MatMultDense *ab; 2396 PetscBool flg; 2397 2398 PetscFunctionBegin; 2399 MatCheckProduct(C, 4); 2400 PetscCheck(!C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data not empty"); 2401 /* check local size of A and B */ 2402 PetscCheck(A->cmap->rstart == B->rmap->rstart && A->cmap->rend == B->rmap->rend, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_SIZ, "Matrix local dimensions are incompatible, A (%" PetscInt_FMT ", %" PetscInt_FMT ") != B (%" PetscInt_FMT ", %" PetscInt_FMT ")", 2403 A->rmap->rstart, A->rmap->rend, B->rmap->rstart, B->rmap->rend); 2404 2405 PetscCall(PetscStrcmp(product->alg, "petsc", &flg)); 2406 alg = flg ? 0 : 1; 2407 2408 /* setup C */ 2409 PetscCall(MatSetSizes(C, A->rmap->n, B->cmap->n, A->rmap->N, B->cmap->N)); 2410 PetscCall(MatSetType(C, MATMPIDENSE)); 2411 PetscCall(MatSetUp(C)); 2412 2413 /* create data structure for reuse Cdense */ 2414 PetscCall(PetscNew(&ab)); 2415 2416 switch (alg) { 2417 case 1: /* alg: "elemental" */ 2418 #if PetscDefined(HAVE_ELEMENTAL) 2419 /* create elemental matrices Ae and Be */ 2420 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &ab->Ae)); 2421 PetscCall(MatSetSizes(ab->Ae, PETSC_DECIDE, PETSC_DECIDE, A->rmap->N, A->cmap->N)); 2422 PetscCall(MatSetType(ab->Ae, MATELEMENTAL)); 2423 PetscCall(MatSetUp(ab->Ae)); 2424 PetscCall(MatSetOption(ab->Ae, MAT_ROW_ORIENTED, PETSC_FALSE)); 2425 2426 PetscCall(MatCreate(PetscObjectComm((PetscObject)B), &ab->Be)); 2427 PetscCall(MatSetSizes(ab->Be, PETSC_DECIDE, PETSC_DECIDE, B->rmap->N, B->cmap->N)); 2428 PetscCall(MatSetType(ab->Be, MATELEMENTAL)); 2429 PetscCall(MatSetUp(ab->Be)); 2430 PetscCall(MatSetOption(ab->Be, MAT_ROW_ORIENTED, PETSC_FALSE)); 2431 2432 /* compute symbolic Ce = Ae*Be */ 2433 PetscCall(MatCreate(PetscObjectComm((PetscObject)C), &ab->Ce)); 2434 PetscCall(MatMatMultSymbolic_Elemental(ab->Ae, ab->Be, fill, ab->Ce)); 2435 #else 2436 SETERRQ(PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "PETSC_HAVE_ELEMENTAL not defined"); 2437 #endif 2438 break; 2439 default: /* alg: "petsc" */ 2440 ab->Ae = NULL; 2441 PetscCall(MatCreateSeqDense(PETSC_COMM_SELF, A->cmap->N, B->cmap->N, NULL, &ab->Be)); 2442 ab->Ce = NULL; 2443 break; 2444 } 2445 2446 C->product->data = ab; 2447 C->product->destroy = MatDestroy_MatMatMult_MPIDense_MPIDense; 2448 C->ops->matmultnumeric = MatMatMultNumeric_MPIDense_MPIDense; 2449 PetscFunctionReturn(PETSC_SUCCESS); 2450 } 2451 2452 static PetscErrorCode MatProductSetFromOptions_MPIDense_AB(Mat C) 2453 { 2454 Mat_Product *product = C->product; 2455 const char *algTypes[2] = {"petsc", "elemental"}; 2456 PetscInt alg, nalg = PetscDefined(HAVE_ELEMENTAL) ? 2 : 1; 2457 PetscBool flg = PETSC_FALSE; 2458 2459 PetscFunctionBegin; 2460 /* Set default algorithm */ 2461 alg = 0; /* default is petsc */ 2462 PetscCall(PetscStrcmp(product->alg, "default", &flg)); 2463 if (flg) PetscCall(MatProductSetAlgorithm(C, algTypes[alg])); 2464 2465 /* Get runtime option */ 2466 PetscOptionsBegin(PetscObjectComm((PetscObject)C), ((PetscObject)C)->prefix, "MatProduct_AB", "Mat"); 2467 PetscCall(PetscOptionsEList("-mat_product_algorithm", "Algorithmic approach", "MatProduct_AB", algTypes, nalg, algTypes[alg], &alg, &flg)); 2468 PetscOptionsEnd(); 2469 if (flg) PetscCall(MatProductSetAlgorithm(C, algTypes[alg])); 2470 2471 C->ops->matmultsymbolic = MatMatMultSymbolic_MPIDense_MPIDense; 2472 C->ops->productsymbolic = MatProductSymbolic_AB; 2473 PetscFunctionReturn(PETSC_SUCCESS); 2474 } 2475 2476 static PetscErrorCode MatProductSetFromOptions_MPIDense_AtB(Mat C) 2477 { 2478 Mat_Product *product = C->product; 2479 Mat A = product->A, B = product->B; 2480 2481 PetscFunctionBegin; 2482 PetscCheck(A->rmap->rstart == B->rmap->rstart && A->rmap->rend == B->rmap->rend, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Matrix local dimensions are incompatible, (%" PetscInt_FMT ", %" PetscInt_FMT ") != (%" PetscInt_FMT ",%" PetscInt_FMT ")", 2483 A->rmap->rstart, A->rmap->rend, B->rmap->rstart, B->rmap->rend); 2484 C->ops->transposematmultsymbolic = MatTransposeMatMultSymbolic_MPIDense_MPIDense; 2485 C->ops->productsymbolic = MatProductSymbolic_AtB; 2486 PetscFunctionReturn(PETSC_SUCCESS); 2487 } 2488 2489 static PetscErrorCode MatProductSetFromOptions_MPIDense_ABt(Mat C) 2490 { 2491 Mat_Product *product = C->product; 2492 const char *algTypes[2] = {"allgatherv", "cyclic"}; 2493 PetscInt alg, nalg = 2; 2494 PetscBool flg = PETSC_FALSE; 2495 2496 PetscFunctionBegin; 2497 /* Set default algorithm */ 2498 alg = 0; /* default is allgatherv */ 2499 PetscCall(PetscStrcmp(product->alg, "default", &flg)); 2500 if (flg) PetscCall(MatProductSetAlgorithm(C, algTypes[alg])); 2501 2502 /* Get runtime option */ 2503 if (product->api_user) { 2504 PetscOptionsBegin(PetscObjectComm((PetscObject)C), ((PetscObject)C)->prefix, "MatMatTransposeMult", "Mat"); 2505 PetscCall(PetscOptionsEList("-matmattransmult_mpidense_mpidense_via", "Algorithmic approach", "MatMatTransposeMult", algTypes, nalg, algTypes[alg], &alg, &flg)); 2506 PetscOptionsEnd(); 2507 } else { 2508 PetscOptionsBegin(PetscObjectComm((PetscObject)C), ((PetscObject)C)->prefix, "MatProduct_ABt", "Mat"); 2509 PetscCall(PetscOptionsEList("-mat_product_algorithm", "Algorithmic approach", "MatProduct_ABt", algTypes, nalg, algTypes[alg], &alg, &flg)); 2510 PetscOptionsEnd(); 2511 } 2512 if (flg) PetscCall(MatProductSetAlgorithm(C, algTypes[alg])); 2513 2514 C->ops->mattransposemultsymbolic = MatMatTransposeMultSymbolic_MPIDense_MPIDense; 2515 C->ops->productsymbolic = MatProductSymbolic_ABt; 2516 PetscFunctionReturn(PETSC_SUCCESS); 2517 } 2518 2519 static PetscErrorCode MatProductSetFromOptions_MPIDense(Mat C) 2520 { 2521 Mat_Product *product = C->product; 2522 2523 PetscFunctionBegin; 2524 switch (product->type) { 2525 case MATPRODUCT_AB: 2526 PetscCall(MatProductSetFromOptions_MPIDense_AB(C)); 2527 break; 2528 case MATPRODUCT_AtB: 2529 PetscCall(MatProductSetFromOptions_MPIDense_AtB(C)); 2530 break; 2531 case MATPRODUCT_ABt: 2532 PetscCall(MatProductSetFromOptions_MPIDense_ABt(C)); 2533 break; 2534 default: 2535 break; 2536 } 2537 PetscFunctionReturn(PETSC_SUCCESS); 2538 } 2539