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 1366 static PetscErrorCode MatMPIDenseSetPreallocation_MPIDense(Mat mat, PetscScalar *data) 1367 { 1368 Mat_MPIDense *a = (Mat_MPIDense *)mat->data; 1369 MatType mtype = MATSEQDENSE; 1370 1371 PetscFunctionBegin; 1372 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)mat), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1373 PetscCall(PetscLayoutSetUp(mat->rmap)); 1374 PetscCall(PetscLayoutSetUp(mat->cmap)); 1375 if (!a->A) { 1376 PetscCall(MatCreate(PETSC_COMM_SELF, &a->A)); 1377 PetscCall(MatSetSizes(a->A, mat->rmap->n, mat->cmap->N, mat->rmap->n, mat->cmap->N)); 1378 } 1379 #if defined(PETSC_HAVE_CUDA) 1380 PetscBool iscuda; 1381 PetscCall(PetscObjectTypeCompare((PetscObject)mat, MATMPIDENSECUDA, &iscuda)); 1382 if (iscuda) mtype = MATSEQDENSECUDA; 1383 #endif 1384 #if defined(PETSC_HAVE_HIP) 1385 PetscBool iship; 1386 PetscCall(PetscObjectTypeCompare((PetscObject)mat, MATMPIDENSEHIP, &iship)); 1387 if (iship) mtype = MATSEQDENSEHIP; 1388 #endif 1389 PetscCall(MatSetType(a->A, mtype)); 1390 PetscCall(MatSeqDenseSetPreallocation(a->A, data)); 1391 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 1392 mat->offloadmask = a->A->offloadmask; 1393 #endif 1394 mat->preallocated = PETSC_TRUE; 1395 mat->assembled = PETSC_TRUE; 1396 PetscFunctionReturn(PETSC_SUCCESS); 1397 } 1398 1399 PETSC_INTERN PetscErrorCode MatConvert_MPIAIJ_MPIDense(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) 1400 { 1401 Mat B, C; 1402 1403 PetscFunctionBegin; 1404 PetscCall(MatMPIAIJGetLocalMat(A, MAT_INITIAL_MATRIX, &C)); 1405 PetscCall(MatConvert_SeqAIJ_SeqDense(C, MATSEQDENSE, MAT_INITIAL_MATRIX, &B)); 1406 PetscCall(MatDestroy(&C)); 1407 if (reuse == MAT_REUSE_MATRIX) { 1408 C = *newmat; 1409 } else C = NULL; 1410 PetscCall(MatCreateMPIMatConcatenateSeqMat(PetscObjectComm((PetscObject)A), B, A->cmap->n, !C ? MAT_INITIAL_MATRIX : MAT_REUSE_MATRIX, &C)); 1411 PetscCall(MatDestroy(&B)); 1412 if (reuse == MAT_INPLACE_MATRIX) { 1413 PetscCall(MatHeaderReplace(A, &C)); 1414 } else if (reuse == MAT_INITIAL_MATRIX) *newmat = C; 1415 PetscFunctionReturn(PETSC_SUCCESS); 1416 } 1417 1418 static PetscErrorCode MatConvert_MPIDense_MPIAIJ(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) 1419 { 1420 Mat B, C; 1421 1422 PetscFunctionBegin; 1423 PetscCall(MatDenseGetLocalMatrix(A, &C)); 1424 PetscCall(MatConvert_SeqDense_SeqAIJ(C, MATSEQAIJ, MAT_INITIAL_MATRIX, &B)); 1425 if (reuse == MAT_REUSE_MATRIX) { 1426 C = *newmat; 1427 } else C = NULL; 1428 PetscCall(MatCreateMPIMatConcatenateSeqMat(PetscObjectComm((PetscObject)A), B, A->cmap->n, !C ? MAT_INITIAL_MATRIX : MAT_REUSE_MATRIX, &C)); 1429 PetscCall(MatDestroy(&B)); 1430 if (reuse == MAT_INPLACE_MATRIX) { 1431 PetscCall(MatHeaderReplace(A, &C)); 1432 } else if (reuse == MAT_INITIAL_MATRIX) *newmat = C; 1433 PetscFunctionReturn(PETSC_SUCCESS); 1434 } 1435 1436 #if defined(PETSC_HAVE_ELEMENTAL) 1437 PETSC_INTERN PetscErrorCode MatConvert_MPIDense_Elemental(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) 1438 { 1439 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1440 Mat mat_elemental; 1441 PetscScalar *v; 1442 PetscInt m = A->rmap->n, N = A->cmap->N, rstart = A->rmap->rstart, i, *rows, *cols, lda; 1443 1444 PetscFunctionBegin; 1445 if (reuse == MAT_REUSE_MATRIX) { 1446 mat_elemental = *newmat; 1447 PetscCall(MatZeroEntries(*newmat)); 1448 } else { 1449 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &mat_elemental)); 1450 PetscCall(MatSetSizes(mat_elemental, PETSC_DECIDE, PETSC_DECIDE, A->rmap->N, A->cmap->N)); 1451 PetscCall(MatSetType(mat_elemental, MATELEMENTAL)); 1452 PetscCall(MatSetUp(mat_elemental)); 1453 PetscCall(MatSetOption(mat_elemental, MAT_ROW_ORIENTED, PETSC_FALSE)); 1454 } 1455 1456 PetscCall(PetscMalloc2(m, &rows, N, &cols)); 1457 for (i = 0; i < N; i++) cols[i] = i; 1458 for (i = 0; i < m; i++) rows[i] = rstart + i; 1459 1460 /* PETSc-Elemental interface uses axpy for setting off-processor entries, only ADD_VALUES is allowed */ 1461 PetscCall(MatDenseGetArray(A, &v)); 1462 PetscCall(MatDenseGetLDA(a->A, &lda)); 1463 if (lda == m) PetscCall(MatSetValues(mat_elemental, m, rows, N, cols, v, ADD_VALUES)); 1464 else { 1465 for (i = 0; i < N; i++) PetscCall(MatSetValues(mat_elemental, m, rows, 1, &i, v + lda * i, ADD_VALUES)); 1466 } 1467 PetscCall(MatAssemblyBegin(mat_elemental, MAT_FINAL_ASSEMBLY)); 1468 PetscCall(MatAssemblyEnd(mat_elemental, MAT_FINAL_ASSEMBLY)); 1469 PetscCall(MatDenseRestoreArray(A, &v)); 1470 PetscCall(PetscFree2(rows, cols)); 1471 1472 if (reuse == MAT_INPLACE_MATRIX) { 1473 PetscCall(MatHeaderReplace(A, &mat_elemental)); 1474 } else { 1475 *newmat = mat_elemental; 1476 } 1477 PetscFunctionReturn(PETSC_SUCCESS); 1478 } 1479 #endif 1480 1481 static PetscErrorCode MatDenseGetColumn_MPIDense(Mat A, PetscInt col, PetscScalar **vals) 1482 { 1483 Mat_MPIDense *mat = (Mat_MPIDense *)A->data; 1484 1485 PetscFunctionBegin; 1486 PetscCall(MatDenseGetColumn(mat->A, col, vals)); 1487 PetscFunctionReturn(PETSC_SUCCESS); 1488 } 1489 1490 static PetscErrorCode MatDenseRestoreColumn_MPIDense(Mat A, PetscScalar **vals) 1491 { 1492 Mat_MPIDense *mat = (Mat_MPIDense *)A->data; 1493 1494 PetscFunctionBegin; 1495 PetscCall(MatDenseRestoreColumn(mat->A, vals)); 1496 PetscFunctionReturn(PETSC_SUCCESS); 1497 } 1498 1499 PetscErrorCode MatCreateMPIMatConcatenateSeqMat_MPIDense(MPI_Comm comm, Mat inmat, PetscInt n, MatReuse scall, Mat *outmat) 1500 { 1501 Mat_MPIDense *mat; 1502 PetscInt m, nloc, N; 1503 1504 PetscFunctionBegin; 1505 PetscCall(MatGetSize(inmat, &m, &N)); 1506 PetscCall(MatGetLocalSize(inmat, NULL, &nloc)); 1507 if (scall == MAT_INITIAL_MATRIX) { /* symbolic phase */ 1508 PetscInt sum; 1509 1510 if (n == PETSC_DECIDE) PetscCall(PetscSplitOwnership(comm, &n, &N)); 1511 /* Check sum(n) = N */ 1512 PetscCallMPI(MPIU_Allreduce(&n, &sum, 1, MPIU_INT, MPI_SUM, comm)); 1513 PetscCheck(sum == N, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "Sum of local columns %" PetscInt_FMT " != global columns %" PetscInt_FMT, sum, N); 1514 1515 PetscCall(MatCreateDense(comm, m, n, PETSC_DETERMINE, N, NULL, outmat)); 1516 PetscCall(MatSetOption(*outmat, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE)); 1517 } 1518 1519 /* numeric phase */ 1520 mat = (Mat_MPIDense *)(*outmat)->data; 1521 PetscCall(MatCopy(inmat, mat->A, SAME_NONZERO_PATTERN)); 1522 PetscFunctionReturn(PETSC_SUCCESS); 1523 } 1524 1525 PetscErrorCode MatDenseGetColumnVec_MPIDense(Mat A, PetscInt col, Vec *v) 1526 { 1527 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1528 PetscInt lda; 1529 1530 PetscFunctionBegin; 1531 PetscCheck(!a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 1532 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1533 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 1534 a->vecinuse = col + 1; 1535 PetscCall(MatDenseGetLDA(a->A, &lda)); 1536 PetscCall(MatDenseGetArray(a->A, (PetscScalar **)&a->ptrinuse)); 1537 PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)lda))); 1538 *v = a->cvec; 1539 PetscFunctionReturn(PETSC_SUCCESS); 1540 } 1541 1542 PetscErrorCode MatDenseRestoreColumnVec_MPIDense(Mat A, PetscInt col, Vec *v) 1543 { 1544 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1545 1546 PetscFunctionBegin; 1547 PetscCheck(a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 1548 PetscCheck(a->cvec, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column vector"); 1549 VecCheckAssembled(a->cvec); 1550 a->vecinuse = 0; 1551 PetscCall(MatDenseRestoreArray(a->A, (PetscScalar **)&a->ptrinuse)); 1552 PetscCall(VecResetArray(a->cvec)); 1553 if (v) *v = NULL; 1554 PetscFunctionReturn(PETSC_SUCCESS); 1555 } 1556 1557 PetscErrorCode MatDenseGetColumnVecRead_MPIDense(Mat A, PetscInt col, Vec *v) 1558 { 1559 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1560 PetscInt lda; 1561 1562 PetscFunctionBegin; 1563 PetscCheck(!a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 1564 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1565 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 1566 a->vecinuse = col + 1; 1567 PetscCall(MatDenseGetLDA(a->A, &lda)); 1568 PetscCall(MatDenseGetArrayRead(a->A, &a->ptrinuse)); 1569 PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)lda))); 1570 PetscCall(VecLockReadPush(a->cvec)); 1571 *v = a->cvec; 1572 PetscFunctionReturn(PETSC_SUCCESS); 1573 } 1574 1575 PetscErrorCode MatDenseRestoreColumnVecRead_MPIDense(Mat A, PetscInt col, Vec *v) 1576 { 1577 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1578 1579 PetscFunctionBegin; 1580 PetscCheck(a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 1581 PetscCheck(a->cvec, PetscObjectComm((PetscObject)A), PETSC_ERR_PLIB, "Missing internal column vector"); 1582 VecCheckAssembled(a->cvec); 1583 a->vecinuse = 0; 1584 PetscCall(MatDenseRestoreArrayRead(a->A, &a->ptrinuse)); 1585 PetscCall(VecLockReadPop(a->cvec)); 1586 PetscCall(VecResetArray(a->cvec)); 1587 if (v) *v = NULL; 1588 PetscFunctionReturn(PETSC_SUCCESS); 1589 } 1590 1591 PetscErrorCode MatDenseGetColumnVecWrite_MPIDense(Mat A, PetscInt col, Vec *v) 1592 { 1593 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1594 PetscInt lda; 1595 1596 PetscFunctionBegin; 1597 PetscCheck(!a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 1598 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1599 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 1600 a->vecinuse = col + 1; 1601 PetscCall(MatDenseGetLDA(a->A, &lda)); 1602 PetscCall(MatDenseGetArrayWrite(a->A, (PetscScalar **)&a->ptrinuse)); 1603 PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)lda))); 1604 *v = a->cvec; 1605 PetscFunctionReturn(PETSC_SUCCESS); 1606 } 1607 1608 PetscErrorCode MatDenseRestoreColumnVecWrite_MPIDense(Mat A, PetscInt col, Vec *v) 1609 { 1610 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1611 1612 PetscFunctionBegin; 1613 PetscCheck(a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 1614 PetscCheck(a->cvec, PetscObjectComm((PetscObject)A), PETSC_ERR_PLIB, "Missing internal column vector"); 1615 VecCheckAssembled(a->cvec); 1616 a->vecinuse = 0; 1617 PetscCall(MatDenseRestoreArrayWrite(a->A, (PetscScalar **)&a->ptrinuse)); 1618 PetscCall(VecResetArray(a->cvec)); 1619 if (v) *v = NULL; 1620 PetscFunctionReturn(PETSC_SUCCESS); 1621 } 1622 1623 static PetscErrorCode MatDenseGetSubMatrix_MPIDense(Mat A, PetscInt rbegin, PetscInt rend, PetscInt cbegin, PetscInt cend, Mat *v) 1624 { 1625 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1626 Mat_MPIDense *c; 1627 MPI_Comm comm; 1628 PetscInt pbegin, pend; 1629 1630 PetscFunctionBegin; 1631 PetscCall(PetscObjectGetComm((PetscObject)A, &comm)); 1632 PetscCheck(!a->vecinuse, comm, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 1633 PetscCheck(!a->matinuse, comm, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1634 pbegin = PetscMax(0, PetscMin(A->rmap->rend, rbegin) - A->rmap->rstart); 1635 pend = PetscMin(A->rmap->n, PetscMax(0, rend - A->rmap->rstart)); 1636 if (!a->cmat) { 1637 PetscCall(MatCreate(comm, &a->cmat)); 1638 PetscCall(MatSetType(a->cmat, ((PetscObject)A)->type_name)); 1639 if (rend - rbegin == A->rmap->N) PetscCall(PetscLayoutReference(A->rmap, &a->cmat->rmap)); 1640 else { 1641 PetscCall(PetscLayoutSetLocalSize(a->cmat->rmap, pend - pbegin)); 1642 PetscCall(PetscLayoutSetSize(a->cmat->rmap, rend - rbegin)); 1643 PetscCall(PetscLayoutSetUp(a->cmat->rmap)); 1644 } 1645 PetscCall(PetscLayoutSetSize(a->cmat->cmap, cend - cbegin)); 1646 PetscCall(PetscLayoutSetUp(a->cmat->cmap)); 1647 } else { 1648 PetscBool same = (PetscBool)(rend - rbegin == a->cmat->rmap->N); 1649 if (same && a->cmat->rmap->N != A->rmap->N) { 1650 same = (PetscBool)(pend - pbegin == a->cmat->rmap->n); 1651 PetscCallMPI(MPIU_Allreduce(MPI_IN_PLACE, &same, 1, MPIU_BOOL, MPI_LAND, PetscObjectComm((PetscObject)A))); 1652 } 1653 if (!same) { 1654 PetscCall(PetscLayoutDestroy(&a->cmat->rmap)); 1655 PetscCall(PetscLayoutCreate(comm, &a->cmat->rmap)); 1656 PetscCall(PetscLayoutSetLocalSize(a->cmat->rmap, pend - pbegin)); 1657 PetscCall(PetscLayoutSetSize(a->cmat->rmap, rend - rbegin)); 1658 PetscCall(PetscLayoutSetUp(a->cmat->rmap)); 1659 } 1660 if (cend - cbegin != a->cmat->cmap->N) { 1661 PetscCall(PetscLayoutDestroy(&a->cmat->cmap)); 1662 PetscCall(PetscLayoutCreate(comm, &a->cmat->cmap)); 1663 PetscCall(PetscLayoutSetSize(a->cmat->cmap, cend - cbegin)); 1664 PetscCall(PetscLayoutSetUp(a->cmat->cmap)); 1665 } 1666 } 1667 c = (Mat_MPIDense *)a->cmat->data; 1668 PetscCheck(!c->A, comm, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1669 PetscCall(MatDenseGetSubMatrix(a->A, pbegin, pend, cbegin, cend, &c->A)); 1670 1671 a->cmat->preallocated = PETSC_TRUE; 1672 a->cmat->assembled = PETSC_TRUE; 1673 #if defined(PETSC_HAVE_DEVICE) 1674 a->cmat->offloadmask = c->A->offloadmask; 1675 #endif 1676 a->matinuse = cbegin + 1; 1677 *v = a->cmat; 1678 PetscFunctionReturn(PETSC_SUCCESS); 1679 } 1680 1681 static PetscErrorCode MatDenseRestoreSubMatrix_MPIDense(Mat A, Mat *v) 1682 { 1683 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1684 Mat_MPIDense *c; 1685 1686 PetscFunctionBegin; 1687 PetscCheck(a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseGetSubMatrix() first"); 1688 PetscCheck(a->cmat, PetscObjectComm((PetscObject)A), PETSC_ERR_PLIB, "Missing internal matrix"); 1689 PetscCheck(*v == a->cmat, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Not the matrix obtained from MatDenseGetSubMatrix()"); 1690 a->matinuse = 0; 1691 c = (Mat_MPIDense *)a->cmat->data; 1692 PetscCall(MatDenseRestoreSubMatrix(a->A, &c->A)); 1693 if (v) *v = NULL; 1694 #if defined(PETSC_HAVE_DEVICE) 1695 A->offloadmask = a->A->offloadmask; 1696 #endif 1697 PetscFunctionReturn(PETSC_SUCCESS); 1698 } 1699 1700 /*MC 1701 MATMPIDENSE - MATMPIDENSE = "mpidense" - A matrix type to be used for distributed dense matrices. 1702 1703 Options Database Key: 1704 . -mat_type mpidense - sets the matrix type to `MATMPIDENSE` during a call to `MatSetFromOptions()` 1705 1706 Level: beginner 1707 1708 .seealso: [](ch_matrices), `Mat`, `MatCreateDense()`, `MATSEQDENSE`, `MATDENSE` 1709 M*/ 1710 PetscErrorCode MatCreate_MPIDense(Mat mat) 1711 { 1712 Mat_MPIDense *a; 1713 1714 PetscFunctionBegin; 1715 PetscCall(PetscNew(&a)); 1716 mat->data = (void *)a; 1717 mat->ops[0] = MatOps_Values; 1718 1719 mat->insertmode = NOT_SET_VALUES; 1720 1721 /* build cache for off array entries formed */ 1722 a->donotstash = PETSC_FALSE; 1723 1724 PetscCall(MatStashCreate_Private(PetscObjectComm((PetscObject)mat), 1, &mat->stash)); 1725 1726 /* stuff used for matrix vector multiply */ 1727 a->lvec = NULL; 1728 a->Mvctx = NULL; 1729 a->roworiented = PETSC_TRUE; 1730 1731 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetLDA_C", MatDenseGetLDA_MPIDense)); 1732 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseSetLDA_C", MatDenseSetLDA_MPIDense)); 1733 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArray_C", MatDenseGetArray_MPIDense)); 1734 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArray_C", MatDenseRestoreArray_MPIDense)); 1735 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArrayRead_C", MatDenseGetArrayRead_MPIDense)); 1736 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArrayRead_C", MatDenseRestoreArrayRead_MPIDense)); 1737 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArrayWrite_C", MatDenseGetArrayWrite_MPIDense)); 1738 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArrayWrite_C", MatDenseRestoreArrayWrite_MPIDense)); 1739 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDensePlaceArray_C", MatDensePlaceArray_MPIDense)); 1740 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseResetArray_C", MatDenseResetArray_MPIDense)); 1741 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseReplaceArray_C", MatDenseReplaceArray_MPIDense)); 1742 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVec_C", MatDenseGetColumnVec_MPIDense)); 1743 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVec_C", MatDenseRestoreColumnVec_MPIDense)); 1744 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVecRead_C", MatDenseGetColumnVecRead_MPIDense)); 1745 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVecRead_C", MatDenseRestoreColumnVecRead_MPIDense)); 1746 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVecWrite_C", MatDenseGetColumnVecWrite_MPIDense)); 1747 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVecWrite_C", MatDenseRestoreColumnVecWrite_MPIDense)); 1748 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetSubMatrix_C", MatDenseGetSubMatrix_MPIDense)); 1749 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreSubMatrix_C", MatDenseRestoreSubMatrix_MPIDense)); 1750 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpiaij_mpidense_C", MatConvert_MPIAIJ_MPIDense)); 1751 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_mpiaij_C", MatConvert_MPIDense_MPIAIJ)); 1752 #if defined(PETSC_HAVE_ELEMENTAL) 1753 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_elemental_C", MatConvert_MPIDense_Elemental)); 1754 #endif 1755 #if defined(PETSC_HAVE_SCALAPACK) 1756 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_scalapack_C", MatConvert_Dense_ScaLAPACK)); 1757 #endif 1758 #if defined(PETSC_HAVE_CUDA) 1759 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_mpidensecuda_C", MatConvert_MPIDense_MPIDenseCUDA)); 1760 #endif 1761 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMPIDenseSetPreallocation_C", MatMPIDenseSetPreallocation_MPIDense)); 1762 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaij_mpidense_C", MatProductSetFromOptions_MPIAIJ_MPIDense)); 1763 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidense_mpiaij_C", MatProductSetFromOptions_MPIDense_MPIAIJ)); 1764 #if defined(PETSC_HAVE_CUDA) 1765 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaijcusparse_mpidense_C", MatProductSetFromOptions_MPIAIJ_MPIDense)); 1766 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidense_mpiaijcusparse_C", MatProductSetFromOptions_MPIDense_MPIAIJ)); 1767 #endif 1768 #if defined(PETSC_HAVE_HIP) 1769 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_mpidensehip_C", MatConvert_MPIDense_MPIDenseHIP)); 1770 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaijhipsparse_mpidense_C", MatProductSetFromOptions_MPIAIJ_MPIDense)); 1771 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidense_mpiaijhipsparse_C", MatProductSetFromOptions_MPIDense_MPIAIJ)); 1772 #endif 1773 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumn_C", MatDenseGetColumn_MPIDense)); 1774 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumn_C", MatDenseRestoreColumn_MPIDense)); 1775 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultAddColumnRange_C", MatMultAddColumnRange_MPIDense)); 1776 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultHermitianTransposeColumnRange_C", MatMultHermitianTransposeColumnRange_MPIDense)); 1777 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultHermitianTransposeAddColumnRange_C", MatMultHermitianTransposeAddColumnRange_MPIDense)); 1778 PetscCall(PetscObjectChangeTypeName((PetscObject)mat, MATMPIDENSE)); 1779 PetscFunctionReturn(PETSC_SUCCESS); 1780 } 1781 1782 /*MC 1783 MATDENSE - MATDENSE = "dense" - A matrix type to be used for dense matrices. 1784 1785 This matrix type is identical to `MATSEQDENSE` when constructed with a single process communicator, 1786 and `MATMPIDENSE` otherwise. 1787 1788 Options Database Key: 1789 . -mat_type dense - sets the matrix type to `MATDENSE` during a call to `MatSetFromOptions()` 1790 1791 Level: beginner 1792 1793 .seealso: [](ch_matrices), `Mat`, `MATSEQDENSE`, `MATMPIDENSE`, `MATDENSECUDA`, `MATDENSEHIP` 1794 M*/ 1795 1796 /*@ 1797 MatMPIDenseSetPreallocation - Sets the array used to store the matrix entries 1798 1799 Collective 1800 1801 Input Parameters: 1802 + B - the matrix 1803 - data - optional location of matrix data. Set to `NULL` for PETSc 1804 to control all matrix memory allocation. 1805 1806 Level: intermediate 1807 1808 Notes: 1809 The dense format is fully compatible with standard Fortran 1810 storage by columns. 1811 1812 The data input variable is intended primarily for Fortran programmers 1813 who wish to allocate their own matrix memory space. Most users should 1814 set `data` to `NULL`. 1815 1816 .seealso: [](ch_matrices), `Mat`, `MATMPIDENSE`, `MatCreate()`, `MatCreateSeqDense()`, `MatSetValues()` 1817 @*/ 1818 PetscErrorCode MatMPIDenseSetPreallocation(Mat B, PetscScalar *data) 1819 { 1820 PetscFunctionBegin; 1821 PetscValidHeaderSpecific(B, MAT_CLASSID, 1); 1822 PetscTryMethod(B, "MatMPIDenseSetPreallocation_C", (Mat, PetscScalar *), (B, data)); 1823 PetscFunctionReturn(PETSC_SUCCESS); 1824 } 1825 1826 /*@ 1827 MatDensePlaceArray - Allows one to replace the array in a `MATDENSE` matrix with an 1828 array provided by the user. This is useful to avoid copying an array 1829 into a matrix 1830 1831 Not Collective 1832 1833 Input Parameters: 1834 + mat - the matrix 1835 - array - the array in column major order 1836 1837 Level: developer 1838 1839 Note: 1840 You can return to the original array with a call to `MatDenseResetArray()`. The user is responsible for freeing this array; it will not be 1841 freed when the matrix is destroyed. 1842 1843 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArray()`, `MatDenseResetArray()`, `VecPlaceArray()`, `VecGetArray()`, `VecRestoreArray()`, `VecReplaceArray()`, `VecResetArray()`, 1844 `MatDenseReplaceArray()` 1845 @*/ 1846 PetscErrorCode MatDensePlaceArray(Mat mat, const PetscScalar *array) 1847 { 1848 PetscFunctionBegin; 1849 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 1850 PetscUseMethod(mat, "MatDensePlaceArray_C", (Mat, const PetscScalar *), (mat, array)); 1851 PetscCall(PetscObjectStateIncrease((PetscObject)mat)); 1852 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 1853 mat->offloadmask = PETSC_OFFLOAD_CPU; 1854 #endif 1855 PetscFunctionReturn(PETSC_SUCCESS); 1856 } 1857 1858 /*@ 1859 MatDenseResetArray - Resets the matrix array to that it previously had before the call to `MatDensePlaceArray()` 1860 1861 Not Collective 1862 1863 Input Parameter: 1864 . mat - the matrix 1865 1866 Level: developer 1867 1868 Note: 1869 You can only call this after a call to `MatDensePlaceArray()` 1870 1871 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArray()`, `MatDensePlaceArray()`, `VecPlaceArray()`, `VecGetArray()`, `VecRestoreArray()`, `VecReplaceArray()`, `VecResetArray()` 1872 @*/ 1873 PetscErrorCode MatDenseResetArray(Mat mat) 1874 { 1875 PetscFunctionBegin; 1876 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 1877 PetscUseMethod(mat, "MatDenseResetArray_C", (Mat), (mat)); 1878 PetscCall(PetscObjectStateIncrease((PetscObject)mat)); 1879 PetscFunctionReturn(PETSC_SUCCESS); 1880 } 1881 1882 /*@ 1883 MatDenseReplaceArray - Allows one to replace the array in a dense matrix with an 1884 array provided by the user. This is useful to avoid copying an array 1885 into a matrix 1886 1887 Not Collective 1888 1889 Input Parameters: 1890 + mat - the matrix 1891 - array - the array in column major order 1892 1893 Level: developer 1894 1895 Note: 1896 The memory passed in MUST be obtained with `PetscMalloc()` and CANNOT be 1897 freed by the user. It will be freed when the matrix is destroyed. 1898 1899 .seealso: [](ch_matrices), `Mat`, `MatDensePlaceArray()`, `MatDenseGetArray()`, `VecReplaceArray()` 1900 @*/ 1901 PetscErrorCode MatDenseReplaceArray(Mat mat, const PetscScalar *array) 1902 { 1903 PetscFunctionBegin; 1904 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 1905 PetscUseMethod(mat, "MatDenseReplaceArray_C", (Mat, const PetscScalar *), (mat, array)); 1906 PetscCall(PetscObjectStateIncrease((PetscObject)mat)); 1907 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 1908 mat->offloadmask = PETSC_OFFLOAD_CPU; 1909 #endif 1910 PetscFunctionReturn(PETSC_SUCCESS); 1911 } 1912 1913 /*@ 1914 MatCreateDense - Creates a matrix in `MATDENSE` format. 1915 1916 Collective 1917 1918 Input Parameters: 1919 + comm - MPI communicator 1920 . m - number of local rows (or `PETSC_DECIDE` to have calculated if `M` is given) 1921 . n - number of local columns (or `PETSC_DECIDE` to have calculated if `N` is given) 1922 . M - number of global rows (or `PETSC_DECIDE` to have calculated if `m` is given) 1923 . N - number of global columns (or `PETSC_DECIDE` to have calculated if `n` is given) 1924 - data - optional location of matrix data. Set data to `NULL` (`PETSC_NULL_SCALAR` for Fortran users) for PETSc 1925 to control all matrix memory allocation. 1926 1927 Output Parameter: 1928 . A - the matrix 1929 1930 Level: intermediate 1931 1932 Notes: 1933 The dense format is fully compatible with standard Fortran 1934 storage by columns. 1935 1936 Although local portions of the matrix are stored in column-major 1937 order, the matrix is partitioned across MPI ranks by row. 1938 1939 The data input variable is intended primarily for Fortran programmers 1940 who wish to allocate their own matrix memory space. Most users should 1941 set `data` to `NULL` (`PETSC_NULL_SCALAR` for Fortran users). 1942 1943 The user MUST specify either the local or global matrix dimensions 1944 (possibly both). 1945 1946 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatCreate()`, `MatCreateSeqDense()`, `MatSetValues()` 1947 @*/ 1948 PetscErrorCode MatCreateDense(MPI_Comm comm, PetscInt m, PetscInt n, PetscInt M, PetscInt N, PetscScalar *data, Mat *A) 1949 { 1950 PetscFunctionBegin; 1951 PetscCall(MatCreate(comm, A)); 1952 PetscCall(MatSetSizes(*A, m, n, M, N)); 1953 PetscCall(MatSetType(*A, MATDENSE)); 1954 PetscCall(MatSeqDenseSetPreallocation(*A, data)); 1955 PetscCall(MatMPIDenseSetPreallocation(*A, data)); 1956 PetscFunctionReturn(PETSC_SUCCESS); 1957 } 1958 1959 static PetscErrorCode MatDuplicate_MPIDense(Mat A, MatDuplicateOption cpvalues, Mat *newmat) 1960 { 1961 Mat mat; 1962 Mat_MPIDense *a, *oldmat = (Mat_MPIDense *)A->data; 1963 1964 PetscFunctionBegin; 1965 *newmat = NULL; 1966 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &mat)); 1967 PetscCall(MatSetSizes(mat, A->rmap->n, A->cmap->n, A->rmap->N, A->cmap->N)); 1968 PetscCall(MatSetType(mat, ((PetscObject)A)->type_name)); 1969 a = (Mat_MPIDense *)mat->data; 1970 1971 mat->factortype = A->factortype; 1972 mat->assembled = PETSC_TRUE; 1973 mat->preallocated = PETSC_TRUE; 1974 1975 mat->insertmode = NOT_SET_VALUES; 1976 a->donotstash = oldmat->donotstash; 1977 1978 PetscCall(PetscLayoutReference(A->rmap, &mat->rmap)); 1979 PetscCall(PetscLayoutReference(A->cmap, &mat->cmap)); 1980 1981 PetscCall(MatDuplicate(oldmat->A, cpvalues, &a->A)); 1982 1983 *newmat = mat; 1984 PetscFunctionReturn(PETSC_SUCCESS); 1985 } 1986 1987 static PetscErrorCode MatLoad_MPIDense(Mat newMat, PetscViewer viewer) 1988 { 1989 PetscBool isbinary; 1990 #if defined(PETSC_HAVE_HDF5) 1991 PetscBool ishdf5; 1992 #endif 1993 1994 PetscFunctionBegin; 1995 PetscValidHeaderSpecific(newMat, MAT_CLASSID, 1); 1996 PetscValidHeaderSpecific(viewer, PETSC_VIEWER_CLASSID, 2); 1997 /* force binary viewer to load .info file if it has not yet done so */ 1998 PetscCall(PetscViewerSetUp(viewer)); 1999 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary)); 2000 #if defined(PETSC_HAVE_HDF5) 2001 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERHDF5, &ishdf5)); 2002 #endif 2003 if (isbinary) { 2004 PetscCall(MatLoad_Dense_Binary(newMat, viewer)); 2005 #if defined(PETSC_HAVE_HDF5) 2006 } else if (ishdf5) { 2007 PetscCall(MatLoad_Dense_HDF5(newMat, viewer)); 2008 #endif 2009 } 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); 2010 PetscFunctionReturn(PETSC_SUCCESS); 2011 } 2012 2013 static PetscErrorCode MatEqual_MPIDense(Mat A, Mat B, PetscBool *flag) 2014 { 2015 Mat_MPIDense *matB = (Mat_MPIDense *)B->data, *matA = (Mat_MPIDense *)A->data; 2016 Mat a, b; 2017 2018 PetscFunctionBegin; 2019 a = matA->A; 2020 b = matB->A; 2021 PetscCall(MatEqual(a, b, flag)); 2022 PetscCallMPI(MPIU_Allreduce(MPI_IN_PLACE, flag, 1, MPIU_BOOL, MPI_LAND, PetscObjectComm((PetscObject)A))); 2023 PetscFunctionReturn(PETSC_SUCCESS); 2024 } 2025 2026 static PetscErrorCode MatDestroy_MatTransMatMult_MPIDense_MPIDense(void *data) 2027 { 2028 Mat_TransMatMultDense *atb = (Mat_TransMatMultDense *)data; 2029 2030 PetscFunctionBegin; 2031 PetscCall(PetscFree2(atb->sendbuf, atb->recvcounts)); 2032 PetscCall(MatDestroy(&atb->atb)); 2033 PetscCall(PetscFree(atb)); 2034 PetscFunctionReturn(PETSC_SUCCESS); 2035 } 2036 2037 static PetscErrorCode MatDestroy_MatMatTransMult_MPIDense_MPIDense(void *data) 2038 { 2039 Mat_MatTransMultDense *abt = (Mat_MatTransMultDense *)data; 2040 2041 PetscFunctionBegin; 2042 PetscCall(PetscFree2(abt->buf[0], abt->buf[1])); 2043 PetscCall(PetscFree2(abt->recvcounts, abt->recvdispls)); 2044 PetscCall(PetscFree(abt)); 2045 PetscFunctionReturn(PETSC_SUCCESS); 2046 } 2047 2048 static PetscErrorCode MatTransposeMatMultNumeric_MPIDense_MPIDense(Mat A, Mat B, Mat C) 2049 { 2050 Mat_MPIDense *a = (Mat_MPIDense *)A->data, *b = (Mat_MPIDense *)B->data, *c = (Mat_MPIDense *)C->data; 2051 Mat_TransMatMultDense *atb; 2052 MPI_Comm comm; 2053 PetscMPIInt size, *recvcounts; 2054 PetscScalar *carray, *sendbuf; 2055 const PetscScalar *atbarray; 2056 PetscInt i, cN = C->cmap->N, proc, k, j, lda; 2057 const PetscInt *ranges; 2058 2059 PetscFunctionBegin; 2060 MatCheckProduct(C, 3); 2061 PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data empty"); 2062 atb = (Mat_TransMatMultDense *)C->product->data; 2063 recvcounts = atb->recvcounts; 2064 sendbuf = atb->sendbuf; 2065 2066 PetscCall(PetscObjectGetComm((PetscObject)A, &comm)); 2067 PetscCallMPI(MPI_Comm_size(comm, &size)); 2068 2069 /* compute atbarray = aseq^T * bseq */ 2070 PetscCall(MatTransposeMatMult(a->A, b->A, atb->atb ? MAT_REUSE_MATRIX : MAT_INITIAL_MATRIX, PETSC_DETERMINE, &atb->atb)); 2071 2072 PetscCall(MatGetOwnershipRanges(C, &ranges)); 2073 2074 /* arrange atbarray into sendbuf */ 2075 PetscCall(MatDenseGetArrayRead(atb->atb, &atbarray)); 2076 PetscCall(MatDenseGetLDA(atb->atb, &lda)); 2077 for (proc = 0, k = 0; proc < size; proc++) { 2078 for (j = 0; j < cN; j++) { 2079 for (i = ranges[proc]; i < ranges[proc + 1]; i++) sendbuf[k++] = atbarray[i + j * lda]; 2080 } 2081 } 2082 PetscCall(MatDenseRestoreArrayRead(atb->atb, &atbarray)); 2083 2084 /* sum all atbarray to local values of C */ 2085 PetscCall(MatDenseGetArrayWrite(c->A, &carray)); 2086 PetscCallMPI(MPI_Reduce_scatter(sendbuf, carray, recvcounts, MPIU_SCALAR, MPIU_SUM, comm)); 2087 PetscCall(MatDenseRestoreArrayWrite(c->A, &carray)); 2088 PetscCall(MatSetOption(C, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE)); 2089 PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY)); 2090 PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY)); 2091 PetscFunctionReturn(PETSC_SUCCESS); 2092 } 2093 2094 static PetscErrorCode MatTransposeMatMultSymbolic_MPIDense_MPIDense(Mat A, Mat B, PetscReal fill, Mat C) 2095 { 2096 MPI_Comm comm; 2097 PetscMPIInt size; 2098 PetscInt cm = A->cmap->n, cM, cN = B->cmap->N; 2099 Mat_TransMatMultDense *atb; 2100 PetscBool cisdense = PETSC_FALSE; 2101 const PetscInt *ranges; 2102 2103 PetscFunctionBegin; 2104 MatCheckProduct(C, 4); 2105 PetscCheck(!C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data not empty"); 2106 PetscCall(PetscObjectGetComm((PetscObject)A, &comm)); 2107 if (A->rmap->rstart != B->rmap->rstart || A->rmap->rend != B->rmap->rend) { 2108 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); 2109 } 2110 2111 /* create matrix product C */ 2112 PetscCall(MatSetSizes(C, cm, B->cmap->n, A->cmap->N, B->cmap->N)); 2113 #if defined(PETSC_HAVE_CUDA) 2114 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATMPIDENSE, MATMPIDENSECUDA, "")); 2115 #endif 2116 #if defined(PETSC_HAVE_HIP) 2117 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATMPIDENSE, MATMPIDENSEHIP, "")); 2118 #endif 2119 if (!cisdense) PetscCall(MatSetType(C, ((PetscObject)A)->type_name)); 2120 PetscCall(MatSetUp(C)); 2121 2122 /* create data structure for reuse C */ 2123 PetscCallMPI(MPI_Comm_size(comm, &size)); 2124 PetscCall(PetscNew(&atb)); 2125 cM = C->rmap->N; 2126 PetscCall(PetscMalloc2(cM * cN, &atb->sendbuf, size, &atb->recvcounts)); 2127 PetscCall(MatGetOwnershipRanges(C, &ranges)); 2128 for (PetscMPIInt i = 0; i < size; i++) PetscCall(PetscMPIIntCast((ranges[i + 1] - ranges[i]) * cN, &atb->recvcounts[i])); 2129 C->product->data = atb; 2130 C->product->destroy = MatDestroy_MatTransMatMult_MPIDense_MPIDense; 2131 PetscFunctionReturn(PETSC_SUCCESS); 2132 } 2133 2134 static PetscErrorCode MatMatTransposeMultSymbolic_MPIDense_MPIDense(Mat A, Mat B, PetscReal fill, Mat C) 2135 { 2136 MPI_Comm comm; 2137 PetscMPIInt i, size; 2138 PetscInt maxRows, bufsiz; 2139 PetscMPIInt tag; 2140 PetscInt alg; 2141 Mat_MatTransMultDense *abt; 2142 Mat_Product *product = C->product; 2143 PetscBool flg; 2144 2145 PetscFunctionBegin; 2146 MatCheckProduct(C, 4); 2147 PetscCheck(!C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data not empty"); 2148 /* check local size of A and B */ 2149 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); 2150 2151 PetscCall(PetscStrcmp(product->alg, "allgatherv", &flg)); 2152 alg = flg ? 0 : 1; 2153 2154 /* setup matrix product C */ 2155 PetscCall(MatSetSizes(C, A->rmap->n, B->rmap->n, A->rmap->N, B->rmap->N)); 2156 PetscCall(MatSetType(C, MATMPIDENSE)); 2157 PetscCall(MatSetUp(C)); 2158 PetscCall(PetscObjectGetNewTag((PetscObject)C, &tag)); 2159 2160 /* create data structure for reuse C */ 2161 PetscCall(PetscObjectGetComm((PetscObject)C, &comm)); 2162 PetscCallMPI(MPI_Comm_size(comm, &size)); 2163 PetscCall(PetscNew(&abt)); 2164 abt->tag = tag; 2165 abt->alg = alg; 2166 switch (alg) { 2167 case 1: /* alg: "cyclic" */ 2168 for (maxRows = 0, i = 0; i < size; i++) maxRows = PetscMax(maxRows, (B->rmap->range[i + 1] - B->rmap->range[i])); 2169 bufsiz = A->cmap->N * maxRows; 2170 PetscCall(PetscMalloc2(bufsiz, &abt->buf[0], bufsiz, &abt->buf[1])); 2171 break; 2172 default: /* alg: "allgatherv" */ 2173 PetscCall(PetscMalloc2(B->rmap->n * B->cmap->N, &abt->buf[0], B->rmap->N * B->cmap->N, &abt->buf[1])); 2174 PetscCall(PetscMalloc2(size, &abt->recvcounts, size + 1, &abt->recvdispls)); 2175 for (i = 0; i <= size; i++) PetscCall(PetscMPIIntCast(B->rmap->range[i] * A->cmap->N, &abt->recvdispls[i])); 2176 for (i = 0; i < size; i++) PetscCall(PetscMPIIntCast(abt->recvdispls[i + 1] - abt->recvdispls[i], &abt->recvcounts[i])); 2177 break; 2178 } 2179 2180 C->product->data = abt; 2181 C->product->destroy = MatDestroy_MatMatTransMult_MPIDense_MPIDense; 2182 C->ops->mattransposemultnumeric = MatMatTransposeMultNumeric_MPIDense_MPIDense; 2183 PetscFunctionReturn(PETSC_SUCCESS); 2184 } 2185 2186 static PetscErrorCode MatMatTransposeMultNumeric_MPIDense_MPIDense_Cyclic(Mat A, Mat B, Mat C) 2187 { 2188 Mat_MPIDense *a = (Mat_MPIDense *)A->data, *b = (Mat_MPIDense *)B->data, *c = (Mat_MPIDense *)C->data; 2189 Mat_MatTransMultDense *abt; 2190 MPI_Comm comm; 2191 PetscMPIInt rank, size, sendto, recvfrom, recvisfrom; 2192 PetscScalar *sendbuf, *recvbuf = NULL, *cv; 2193 PetscInt i, cK = A->cmap->N, sendsiz, recvsiz, k, j, bn; 2194 PetscScalar _DOne = 1.0, _DZero = 0.0; 2195 const PetscScalar *av, *bv; 2196 PetscBLASInt cm, cn, ck, alda, blda = 0, clda; 2197 MPI_Request reqs[2]; 2198 const PetscInt *ranges; 2199 2200 PetscFunctionBegin; 2201 MatCheckProduct(C, 3); 2202 PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data empty"); 2203 abt = (Mat_MatTransMultDense *)C->product->data; 2204 PetscCall(PetscObjectGetComm((PetscObject)C, &comm)); 2205 PetscCallMPI(MPI_Comm_rank(comm, &rank)); 2206 PetscCallMPI(MPI_Comm_size(comm, &size)); 2207 PetscCall(MatDenseGetArrayRead(a->A, &av)); 2208 PetscCall(MatDenseGetArrayRead(b->A, &bv)); 2209 PetscCall(MatDenseGetArrayWrite(c->A, &cv)); 2210 PetscCall(MatDenseGetLDA(a->A, &i)); 2211 PetscCall(PetscBLASIntCast(i, &alda)); 2212 PetscCall(MatDenseGetLDA(b->A, &i)); 2213 PetscCall(PetscBLASIntCast(i, &blda)); 2214 PetscCall(MatDenseGetLDA(c->A, &i)); 2215 PetscCall(PetscBLASIntCast(i, &clda)); 2216 PetscCall(MatGetOwnershipRanges(B, &ranges)); 2217 bn = B->rmap->n; 2218 if (blda == bn) { 2219 sendbuf = (PetscScalar *)bv; 2220 } else { 2221 sendbuf = abt->buf[0]; 2222 for (k = 0, i = 0; i < cK; i++) { 2223 for (j = 0; j < bn; j++, k++) sendbuf[k] = bv[i * blda + j]; 2224 } 2225 } 2226 if (size > 1) { 2227 sendto = (rank + size - 1) % size; 2228 recvfrom = (rank + size + 1) % size; 2229 } else { 2230 sendto = recvfrom = 0; 2231 } 2232 PetscCall(PetscBLASIntCast(cK, &ck)); 2233 PetscCall(PetscBLASIntCast(c->A->rmap->n, &cm)); 2234 recvisfrom = rank; 2235 for (i = 0; i < size; i++) { 2236 /* we have finished receiving in sending, bufs can be read/modified */ 2237 PetscMPIInt nextrecvisfrom = (recvisfrom + 1) % size; /* which process the next recvbuf will originate on */ 2238 PetscInt nextbn = ranges[nextrecvisfrom + 1] - ranges[nextrecvisfrom]; 2239 2240 if (nextrecvisfrom != rank) { 2241 /* start the cyclic sends from sendbuf, to recvbuf (which will switch to sendbuf) */ 2242 sendsiz = cK * bn; 2243 recvsiz = cK * nextbn; 2244 recvbuf = (i & 1) ? abt->buf[0] : abt->buf[1]; 2245 PetscCallMPI(MPIU_Isend(sendbuf, sendsiz, MPIU_SCALAR, sendto, abt->tag, comm, &reqs[0])); 2246 PetscCallMPI(MPIU_Irecv(recvbuf, recvsiz, MPIU_SCALAR, recvfrom, abt->tag, comm, &reqs[1])); 2247 } 2248 2249 /* local aseq * sendbuf^T */ 2250 PetscCall(PetscBLASIntCast(ranges[recvisfrom + 1] - ranges[recvisfrom], &cn)); 2251 if (cm && cn && ck) PetscCallBLAS("BLASgemm", BLASgemm_("N", "T", &cm, &cn, &ck, &_DOne, av, &alda, sendbuf, &cn, &_DZero, cv + clda * ranges[recvisfrom], &clda)); 2252 2253 if (nextrecvisfrom != rank) { 2254 /* wait for the sends and receives to complete, swap sendbuf and recvbuf */ 2255 PetscCallMPI(MPI_Waitall(2, reqs, MPI_STATUSES_IGNORE)); 2256 } 2257 bn = nextbn; 2258 recvisfrom = nextrecvisfrom; 2259 sendbuf = recvbuf; 2260 } 2261 PetscCall(MatDenseRestoreArrayRead(a->A, &av)); 2262 PetscCall(MatDenseRestoreArrayRead(b->A, &bv)); 2263 PetscCall(MatDenseRestoreArrayWrite(c->A, &cv)); 2264 PetscCall(MatSetOption(C, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE)); 2265 PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY)); 2266 PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY)); 2267 PetscFunctionReturn(PETSC_SUCCESS); 2268 } 2269 2270 static PetscErrorCode MatMatTransposeMultNumeric_MPIDense_MPIDense_Allgatherv(Mat A, Mat B, Mat C) 2271 { 2272 Mat_MPIDense *a = (Mat_MPIDense *)A->data, *b = (Mat_MPIDense *)B->data, *c = (Mat_MPIDense *)C->data; 2273 Mat_MatTransMultDense *abt; 2274 MPI_Comm comm; 2275 PetscMPIInt size, ibn; 2276 PetscScalar *cv, *sendbuf, *recvbuf; 2277 const PetscScalar *av, *bv; 2278 PetscInt blda, i, cK = A->cmap->N, k, j, bn; 2279 PetscScalar _DOne = 1.0, _DZero = 0.0; 2280 PetscBLASInt cm, cn, ck, alda, clda; 2281 2282 PetscFunctionBegin; 2283 MatCheckProduct(C, 3); 2284 PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data empty"); 2285 abt = (Mat_MatTransMultDense *)C->product->data; 2286 PetscCall(PetscObjectGetComm((PetscObject)A, &comm)); 2287 PetscCallMPI(MPI_Comm_size(comm, &size)); 2288 PetscCall(MatDenseGetArrayRead(a->A, &av)); 2289 PetscCall(MatDenseGetArrayRead(b->A, &bv)); 2290 PetscCall(MatDenseGetArrayWrite(c->A, &cv)); 2291 PetscCall(MatDenseGetLDA(a->A, &i)); 2292 PetscCall(PetscBLASIntCast(i, &alda)); 2293 PetscCall(MatDenseGetLDA(b->A, &blda)); 2294 PetscCall(MatDenseGetLDA(c->A, &i)); 2295 PetscCall(PetscBLASIntCast(i, &clda)); 2296 /* copy transpose of B into buf[0] */ 2297 bn = B->rmap->n; 2298 sendbuf = abt->buf[0]; 2299 recvbuf = abt->buf[1]; 2300 for (k = 0, j = 0; j < bn; j++) { 2301 for (i = 0; i < cK; i++, k++) sendbuf[k] = bv[i * blda + j]; 2302 } 2303 PetscCall(MatDenseRestoreArrayRead(b->A, &bv)); 2304 PetscCall(PetscMPIIntCast(bn * cK, &ibn)); 2305 PetscCallMPI(MPI_Allgatherv(sendbuf, ibn, MPIU_SCALAR, recvbuf, abt->recvcounts, abt->recvdispls, MPIU_SCALAR, comm)); 2306 PetscCall(PetscBLASIntCast(cK, &ck)); 2307 PetscCall(PetscBLASIntCast(c->A->rmap->n, &cm)); 2308 PetscCall(PetscBLASIntCast(c->A->cmap->n, &cn)); 2309 if (cm && cn && ck) PetscCallBLAS("BLASgemm", BLASgemm_("N", "N", &cm, &cn, &ck, &_DOne, av, &alda, recvbuf, &ck, &_DZero, cv, &clda)); 2310 PetscCall(MatDenseRestoreArrayRead(a->A, &av)); 2311 PetscCall(MatDenseRestoreArrayRead(b->A, &bv)); 2312 PetscCall(MatDenseRestoreArrayWrite(c->A, &cv)); 2313 PetscCall(MatSetOption(C, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE)); 2314 PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY)); 2315 PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY)); 2316 PetscFunctionReturn(PETSC_SUCCESS); 2317 } 2318 2319 static PetscErrorCode MatMatTransposeMultNumeric_MPIDense_MPIDense(Mat A, Mat B, Mat C) 2320 { 2321 Mat_MatTransMultDense *abt; 2322 2323 PetscFunctionBegin; 2324 MatCheckProduct(C, 3); 2325 PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data empty"); 2326 abt = (Mat_MatTransMultDense *)C->product->data; 2327 switch (abt->alg) { 2328 case 1: 2329 PetscCall(MatMatTransposeMultNumeric_MPIDense_MPIDense_Cyclic(A, B, C)); 2330 break; 2331 default: 2332 PetscCall(MatMatTransposeMultNumeric_MPIDense_MPIDense_Allgatherv(A, B, C)); 2333 break; 2334 } 2335 PetscFunctionReturn(PETSC_SUCCESS); 2336 } 2337 2338 static PetscErrorCode MatDestroy_MatMatMult_MPIDense_MPIDense(void *data) 2339 { 2340 Mat_MatMultDense *ab = (Mat_MatMultDense *)data; 2341 2342 PetscFunctionBegin; 2343 PetscCall(MatDestroy(&ab->Ce)); 2344 PetscCall(MatDestroy(&ab->Ae)); 2345 PetscCall(MatDestroy(&ab->Be)); 2346 PetscCall(PetscFree(ab)); 2347 PetscFunctionReturn(PETSC_SUCCESS); 2348 } 2349 2350 static PetscErrorCode MatMatMultNumeric_MPIDense_MPIDense(Mat A, Mat B, Mat C) 2351 { 2352 Mat_MatMultDense *ab; 2353 Mat_MPIDense *mdn = (Mat_MPIDense *)A->data; 2354 2355 PetscFunctionBegin; 2356 MatCheckProduct(C, 3); 2357 PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Missing product data"); 2358 ab = (Mat_MatMultDense *)C->product->data; 2359 if (ab->Ae && ab->Ce) { 2360 #if PetscDefined(HAVE_ELEMENTAL) 2361 PetscCall(MatConvert_MPIDense_Elemental(A, MATELEMENTAL, MAT_REUSE_MATRIX, &ab->Ae)); 2362 PetscCall(MatConvert_MPIDense_Elemental(B, MATELEMENTAL, MAT_REUSE_MATRIX, &ab->Be)); 2363 PetscCall(MatMatMultNumeric_Elemental(ab->Ae, ab->Be, ab->Ce)); 2364 PetscCall(MatConvert(ab->Ce, MATMPIDENSE, MAT_REUSE_MATRIX, &C)); 2365 #else 2366 SETERRQ(PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "PETSC_HAVE_ELEMENTAL not defined"); 2367 #endif 2368 } else { 2369 const PetscScalar *read; 2370 PetscScalar *write; 2371 PetscInt lda; 2372 2373 PetscCall(MatDenseGetLDA(B, &lda)); 2374 PetscCall(MatDenseGetArrayRead(B, &read)); 2375 PetscCall(MatDenseGetArrayWrite(ab->Be, &write)); 2376 if (!mdn->Mvctx) PetscCall(MatSetUpMultiply_MPIDense(A)); /* cannot be done during the symbolic phase because of possible calls to MatProductReplaceMats() */ 2377 for (PetscInt i = 0; i < C->cmap->N; ++i) { 2378 PetscCall(PetscSFBcastBegin(mdn->Mvctx, MPIU_SCALAR, read + i * lda, write + i * ab->Be->rmap->n, MPI_REPLACE)); 2379 PetscCall(PetscSFBcastEnd(mdn->Mvctx, MPIU_SCALAR, read + i * lda, write + i * ab->Be->rmap->n, MPI_REPLACE)); 2380 } 2381 PetscCall(MatDenseRestoreArrayWrite(ab->Be, &write)); 2382 PetscCall(MatDenseRestoreArrayRead(B, &read)); 2383 PetscCall(MatMatMultNumeric_SeqDense_SeqDense(((Mat_MPIDense *)A->data)->A, ab->Be, ((Mat_MPIDense *)C->data)->A)); 2384 } 2385 PetscFunctionReturn(PETSC_SUCCESS); 2386 } 2387 2388 static PetscErrorCode MatMatMultSymbolic_MPIDense_MPIDense(Mat A, Mat B, PetscReal fill, Mat C) 2389 { 2390 Mat_Product *product = C->product; 2391 PetscInt alg; 2392 Mat_MatMultDense *ab; 2393 PetscBool flg; 2394 2395 PetscFunctionBegin; 2396 MatCheckProduct(C, 4); 2397 PetscCheck(!C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data not empty"); 2398 /* check local size of A and B */ 2399 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 ")", 2400 A->rmap->rstart, A->rmap->rend, B->rmap->rstart, B->rmap->rend); 2401 2402 PetscCall(PetscStrcmp(product->alg, "petsc", &flg)); 2403 alg = flg ? 0 : 1; 2404 2405 /* setup C */ 2406 PetscCall(MatSetSizes(C, A->rmap->n, B->cmap->n, A->rmap->N, B->cmap->N)); 2407 PetscCall(MatSetType(C, MATMPIDENSE)); 2408 PetscCall(MatSetUp(C)); 2409 2410 /* create data structure for reuse Cdense */ 2411 PetscCall(PetscNew(&ab)); 2412 2413 switch (alg) { 2414 case 1: /* alg: "elemental" */ 2415 #if PetscDefined(HAVE_ELEMENTAL) 2416 /* create elemental matrices Ae and Be */ 2417 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &ab->Ae)); 2418 PetscCall(MatSetSizes(ab->Ae, PETSC_DECIDE, PETSC_DECIDE, A->rmap->N, A->cmap->N)); 2419 PetscCall(MatSetType(ab->Ae, MATELEMENTAL)); 2420 PetscCall(MatSetUp(ab->Ae)); 2421 PetscCall(MatSetOption(ab->Ae, MAT_ROW_ORIENTED, PETSC_FALSE)); 2422 2423 PetscCall(MatCreate(PetscObjectComm((PetscObject)B), &ab->Be)); 2424 PetscCall(MatSetSizes(ab->Be, PETSC_DECIDE, PETSC_DECIDE, B->rmap->N, B->cmap->N)); 2425 PetscCall(MatSetType(ab->Be, MATELEMENTAL)); 2426 PetscCall(MatSetUp(ab->Be)); 2427 PetscCall(MatSetOption(ab->Be, MAT_ROW_ORIENTED, PETSC_FALSE)); 2428 2429 /* compute symbolic Ce = Ae*Be */ 2430 PetscCall(MatCreate(PetscObjectComm((PetscObject)C), &ab->Ce)); 2431 PetscCall(MatMatMultSymbolic_Elemental(ab->Ae, ab->Be, fill, ab->Ce)); 2432 #else 2433 SETERRQ(PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "PETSC_HAVE_ELEMENTAL not defined"); 2434 #endif 2435 break; 2436 default: /* alg: "petsc" */ 2437 ab->Ae = NULL; 2438 PetscCall(MatCreateSeqDense(PETSC_COMM_SELF, A->cmap->N, B->cmap->N, NULL, &ab->Be)); 2439 ab->Ce = NULL; 2440 break; 2441 } 2442 2443 C->product->data = ab; 2444 C->product->destroy = MatDestroy_MatMatMult_MPIDense_MPIDense; 2445 C->ops->matmultnumeric = MatMatMultNumeric_MPIDense_MPIDense; 2446 PetscFunctionReturn(PETSC_SUCCESS); 2447 } 2448 2449 static PetscErrorCode MatProductSetFromOptions_MPIDense_AB(Mat C) 2450 { 2451 Mat_Product *product = C->product; 2452 const char *algTypes[2] = {"petsc", "elemental"}; 2453 PetscInt alg, nalg = PetscDefined(HAVE_ELEMENTAL) ? 2 : 1; 2454 PetscBool flg = PETSC_FALSE; 2455 2456 PetscFunctionBegin; 2457 /* Set default algorithm */ 2458 alg = 0; /* default is petsc */ 2459 PetscCall(PetscStrcmp(product->alg, "default", &flg)); 2460 if (flg) PetscCall(MatProductSetAlgorithm(C, (MatProductAlgorithm)algTypes[alg])); 2461 2462 /* Get runtime option */ 2463 PetscOptionsBegin(PetscObjectComm((PetscObject)C), ((PetscObject)C)->prefix, "MatProduct_AB", "Mat"); 2464 PetscCall(PetscOptionsEList("-mat_product_algorithm", "Algorithmic approach", "MatProduct_AB", algTypes, nalg, algTypes[alg], &alg, &flg)); 2465 PetscOptionsEnd(); 2466 if (flg) PetscCall(MatProductSetAlgorithm(C, (MatProductAlgorithm)algTypes[alg])); 2467 2468 C->ops->matmultsymbolic = MatMatMultSymbolic_MPIDense_MPIDense; 2469 C->ops->productsymbolic = MatProductSymbolic_AB; 2470 PetscFunctionReturn(PETSC_SUCCESS); 2471 } 2472 2473 static PetscErrorCode MatProductSetFromOptions_MPIDense_AtB(Mat C) 2474 { 2475 Mat_Product *product = C->product; 2476 Mat A = product->A, B = product->B; 2477 2478 PetscFunctionBegin; 2479 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 ")", 2480 A->rmap->rstart, A->rmap->rend, B->rmap->rstart, B->rmap->rend); 2481 C->ops->transposematmultsymbolic = MatTransposeMatMultSymbolic_MPIDense_MPIDense; 2482 C->ops->productsymbolic = MatProductSymbolic_AtB; 2483 PetscFunctionReturn(PETSC_SUCCESS); 2484 } 2485 2486 static PetscErrorCode MatProductSetFromOptions_MPIDense_ABt(Mat C) 2487 { 2488 Mat_Product *product = C->product; 2489 const char *algTypes[2] = {"allgatherv", "cyclic"}; 2490 PetscInt alg, nalg = 2; 2491 PetscBool flg = PETSC_FALSE; 2492 2493 PetscFunctionBegin; 2494 /* Set default algorithm */ 2495 alg = 0; /* default is allgatherv */ 2496 PetscCall(PetscStrcmp(product->alg, "default", &flg)); 2497 if (flg) PetscCall(MatProductSetAlgorithm(C, (MatProductAlgorithm)algTypes[alg])); 2498 2499 /* Get runtime option */ 2500 if (product->api_user) { 2501 PetscOptionsBegin(PetscObjectComm((PetscObject)C), ((PetscObject)C)->prefix, "MatMatTransposeMult", "Mat"); 2502 PetscCall(PetscOptionsEList("-matmattransmult_mpidense_mpidense_via", "Algorithmic approach", "MatMatTransposeMult", algTypes, nalg, algTypes[alg], &alg, &flg)); 2503 PetscOptionsEnd(); 2504 } else { 2505 PetscOptionsBegin(PetscObjectComm((PetscObject)C), ((PetscObject)C)->prefix, "MatProduct_ABt", "Mat"); 2506 PetscCall(PetscOptionsEList("-mat_product_algorithm", "Algorithmic approach", "MatProduct_ABt", algTypes, nalg, algTypes[alg], &alg, &flg)); 2507 PetscOptionsEnd(); 2508 } 2509 if (flg) PetscCall(MatProductSetAlgorithm(C, (MatProductAlgorithm)algTypes[alg])); 2510 2511 C->ops->mattransposemultsymbolic = MatMatTransposeMultSymbolic_MPIDense_MPIDense; 2512 C->ops->productsymbolic = MatProductSymbolic_ABt; 2513 PetscFunctionReturn(PETSC_SUCCESS); 2514 } 2515 2516 static PetscErrorCode MatProductSetFromOptions_MPIDense(Mat C) 2517 { 2518 Mat_Product *product = C->product; 2519 2520 PetscFunctionBegin; 2521 switch (product->type) { 2522 case MATPRODUCT_AB: 2523 PetscCall(MatProductSetFromOptions_MPIDense_AB(C)); 2524 break; 2525 case MATPRODUCT_AtB: 2526 PetscCall(MatProductSetFromOptions_MPIDense_AtB(C)); 2527 break; 2528 case MATPRODUCT_ABt: 2529 PetscCall(MatProductSetFromOptions_MPIDense_ABt(C)); 2530 break; 2531 default: 2532 break; 2533 } 2534 PetscFunctionReturn(PETSC_SUCCESS); 2535 } 2536