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 PetscCall(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 PetscCall(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; 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 PetscCall(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(MPIU_Allreduce(tmp, tmp2, A->cmap->N, MPIU_REAL, MPIU_SUM, PetscObjectComm((PetscObject)A))); 1033 for (j = 0; j < A->cmap->N; j++) { 1034 if (tmp2[j] > *nrm) *nrm = tmp2[j]; 1035 } 1036 PetscCall(PetscFree2(tmp, tmp2)); 1037 PetscCall(PetscLogFlops(A->cmap->n * A->rmap->n)); 1038 } else if (type == NORM_INFINITY) { /* max row norm */ 1039 PetscReal ntemp; 1040 PetscCall(MatNorm(mdn->A, type, &ntemp)); 1041 PetscCall(MPIU_Allreduce(&ntemp, nrm, 1, MPIU_REAL, MPIU_MAX, PetscObjectComm((PetscObject)A))); 1042 } else SETERRQ(PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "No support for two norm"); 1043 } 1044 PetscCall(MatDenseRestoreArrayRead(mdn->A, &av)); 1045 PetscFunctionReturn(PETSC_SUCCESS); 1046 } 1047 1048 static PetscErrorCode MatTranspose_MPIDense(Mat A, MatReuse reuse, Mat *matout) 1049 { 1050 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1051 Mat B; 1052 PetscInt M = A->rmap->N, N = A->cmap->N, m, n, *rwork, rstart = A->rmap->rstart; 1053 PetscInt j, i, lda; 1054 PetscScalar *v; 1055 1056 PetscFunctionBegin; 1057 if (reuse == MAT_REUSE_MATRIX) PetscCall(MatTransposeCheckNonzeroState_Private(A, *matout)); 1058 if (reuse == MAT_INITIAL_MATRIX || reuse == MAT_INPLACE_MATRIX) { 1059 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &B)); 1060 PetscCall(MatSetSizes(B, A->cmap->n, A->rmap->n, N, M)); 1061 PetscCall(MatSetType(B, ((PetscObject)A)->type_name)); 1062 PetscCall(MatMPIDenseSetPreallocation(B, NULL)); 1063 } else B = *matout; 1064 1065 m = a->A->rmap->n; 1066 n = a->A->cmap->n; 1067 PetscCall(MatDenseGetArrayRead(a->A, (const PetscScalar **)&v)); 1068 PetscCall(MatDenseGetLDA(a->A, &lda)); 1069 PetscCall(PetscMalloc1(m, &rwork)); 1070 for (i = 0; i < m; i++) rwork[i] = rstart + i; 1071 for (j = 0; j < n; j++) { 1072 PetscCall(MatSetValues(B, 1, &j, m, rwork, v, INSERT_VALUES)); 1073 v = PetscSafePointerPlusOffset(v, lda); 1074 } 1075 PetscCall(MatDenseRestoreArrayRead(a->A, (const PetscScalar **)&v)); 1076 PetscCall(PetscFree(rwork)); 1077 PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY)); 1078 PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY)); 1079 if (reuse == MAT_INITIAL_MATRIX || reuse == MAT_REUSE_MATRIX) { 1080 *matout = B; 1081 } else { 1082 PetscCall(MatHeaderMerge(A, &B)); 1083 } 1084 PetscFunctionReturn(PETSC_SUCCESS); 1085 } 1086 1087 static PetscErrorCode MatDuplicate_MPIDense(Mat, MatDuplicateOption, Mat *); 1088 PETSC_INTERN PetscErrorCode MatScale_MPIDense(Mat, PetscScalar); 1089 1090 static PetscErrorCode MatSetUp_MPIDense(Mat A) 1091 { 1092 PetscFunctionBegin; 1093 PetscCall(PetscLayoutSetUp(A->rmap)); 1094 PetscCall(PetscLayoutSetUp(A->cmap)); 1095 if (!A->preallocated) PetscCall(MatMPIDenseSetPreallocation(A, NULL)); 1096 PetscFunctionReturn(PETSC_SUCCESS); 1097 } 1098 1099 static PetscErrorCode MatAXPY_MPIDense(Mat Y, PetscScalar alpha, Mat X, MatStructure str) 1100 { 1101 Mat_MPIDense *A = (Mat_MPIDense *)Y->data, *B = (Mat_MPIDense *)X->data; 1102 1103 PetscFunctionBegin; 1104 PetscCall(MatAXPY(A->A, alpha, B->A, str)); 1105 PetscFunctionReturn(PETSC_SUCCESS); 1106 } 1107 1108 static PetscErrorCode MatConjugate_MPIDense(Mat mat) 1109 { 1110 Mat_MPIDense *a = (Mat_MPIDense *)mat->data; 1111 1112 PetscFunctionBegin; 1113 PetscCall(MatConjugate(a->A)); 1114 PetscFunctionReturn(PETSC_SUCCESS); 1115 } 1116 1117 static PetscErrorCode MatRealPart_MPIDense(Mat A) 1118 { 1119 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1120 1121 PetscFunctionBegin; 1122 PetscCall(MatRealPart(a->A)); 1123 PetscFunctionReturn(PETSC_SUCCESS); 1124 } 1125 1126 static PetscErrorCode MatImaginaryPart_MPIDense(Mat A) 1127 { 1128 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1129 1130 PetscFunctionBegin; 1131 PetscCall(MatImaginaryPart(a->A)); 1132 PetscFunctionReturn(PETSC_SUCCESS); 1133 } 1134 1135 static PetscErrorCode MatGetColumnVector_MPIDense(Mat A, Vec v, PetscInt col) 1136 { 1137 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1138 1139 PetscFunctionBegin; 1140 PetscCheck(a->A, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Missing local matrix"); 1141 PetscCheck(a->A->ops->getcolumnvector, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Missing get column operation"); 1142 PetscCall((*a->A->ops->getcolumnvector)(a->A, v, col)); 1143 PetscFunctionReturn(PETSC_SUCCESS); 1144 } 1145 1146 PETSC_INTERN PetscErrorCode MatGetColumnReductions_SeqDense(Mat, PetscInt, PetscReal *); 1147 1148 static PetscErrorCode MatGetColumnReductions_MPIDense(Mat A, PetscInt type, PetscReal *reductions) 1149 { 1150 PetscInt i, m, n; 1151 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1152 PetscReal *work; 1153 1154 PetscFunctionBegin; 1155 PetscCall(MatGetSize(A, &m, &n)); 1156 PetscCall(PetscMalloc1(n, &work)); 1157 if (type == REDUCTION_MEAN_REALPART) { 1158 PetscCall(MatGetColumnReductions_SeqDense(a->A, (PetscInt)REDUCTION_SUM_REALPART, work)); 1159 } else if (type == REDUCTION_MEAN_IMAGINARYPART) { 1160 PetscCall(MatGetColumnReductions_SeqDense(a->A, (PetscInt)REDUCTION_SUM_IMAGINARYPART, work)); 1161 } else { 1162 PetscCall(MatGetColumnReductions_SeqDense(a->A, type, work)); 1163 } 1164 if (type == NORM_2) { 1165 for (i = 0; i < n; i++) work[i] *= work[i]; 1166 } 1167 if (type == NORM_INFINITY) { 1168 PetscCall(MPIU_Allreduce(work, reductions, n, MPIU_REAL, MPIU_MAX, A->hdr.comm)); 1169 } else { 1170 PetscCall(MPIU_Allreduce(work, reductions, n, MPIU_REAL, MPIU_SUM, A->hdr.comm)); 1171 } 1172 PetscCall(PetscFree(work)); 1173 if (type == NORM_2) { 1174 for (i = 0; i < n; i++) reductions[i] = PetscSqrtReal(reductions[i]); 1175 } else if (type == REDUCTION_MEAN_REALPART || type == REDUCTION_MEAN_IMAGINARYPART) { 1176 for (i = 0; i < n; i++) reductions[i] /= m; 1177 } 1178 PetscFunctionReturn(PETSC_SUCCESS); 1179 } 1180 1181 static PetscErrorCode MatSetRandom_MPIDense(Mat x, PetscRandom rctx) 1182 { 1183 Mat_MPIDense *d = (Mat_MPIDense *)x->data; 1184 1185 PetscFunctionBegin; 1186 PetscCall(MatSetRandom(d->A, rctx)); 1187 #if defined(PETSC_HAVE_DEVICE) 1188 x->offloadmask = d->A->offloadmask; 1189 #endif 1190 PetscFunctionReturn(PETSC_SUCCESS); 1191 } 1192 1193 static PetscErrorCode MatMissingDiagonal_MPIDense(Mat A, PetscBool *missing, PetscInt *d) 1194 { 1195 PetscFunctionBegin; 1196 *missing = PETSC_FALSE; 1197 PetscFunctionReturn(PETSC_SUCCESS); 1198 } 1199 1200 static PetscErrorCode MatMatTransposeMultSymbolic_MPIDense_MPIDense(Mat, Mat, PetscReal, Mat); 1201 static PetscErrorCode MatMatTransposeMultNumeric_MPIDense_MPIDense(Mat, Mat, Mat); 1202 static PetscErrorCode MatTransposeMatMultSymbolic_MPIDense_MPIDense(Mat, Mat, PetscReal, Mat); 1203 static PetscErrorCode MatTransposeMatMultNumeric_MPIDense_MPIDense(Mat, Mat, Mat); 1204 static PetscErrorCode MatEqual_MPIDense(Mat, Mat, PetscBool *); 1205 static PetscErrorCode MatLoad_MPIDense(Mat, PetscViewer); 1206 static PetscErrorCode MatProductSetFromOptions_MPIDense(Mat); 1207 1208 static struct _MatOps MatOps_Values = {MatSetValues_MPIDense, 1209 MatGetRow_MPIDense, 1210 MatRestoreRow_MPIDense, 1211 MatMult_MPIDense, 1212 /* 4*/ MatMultAdd_MPIDense, 1213 MatMultTranspose_MPIDense, 1214 MatMultTransposeAdd_MPIDense, 1215 NULL, 1216 NULL, 1217 NULL, 1218 /* 10*/ NULL, 1219 NULL, 1220 NULL, 1221 NULL, 1222 MatTranspose_MPIDense, 1223 /* 15*/ MatGetInfo_MPIDense, 1224 MatEqual_MPIDense, 1225 MatGetDiagonal_MPIDense, 1226 MatDiagonalScale_MPIDense, 1227 MatNorm_MPIDense, 1228 /* 20*/ MatAssemblyBegin_MPIDense, 1229 MatAssemblyEnd_MPIDense, 1230 MatSetOption_MPIDense, 1231 MatZeroEntries_MPIDense, 1232 /* 24*/ MatZeroRows_MPIDense, 1233 NULL, 1234 NULL, 1235 NULL, 1236 NULL, 1237 /* 29*/ MatSetUp_MPIDense, 1238 NULL, 1239 NULL, 1240 MatGetDiagonalBlock_MPIDense, 1241 NULL, 1242 /* 34*/ MatDuplicate_MPIDense, 1243 NULL, 1244 NULL, 1245 NULL, 1246 NULL, 1247 /* 39*/ MatAXPY_MPIDense, 1248 MatCreateSubMatrices_MPIDense, 1249 NULL, 1250 MatGetValues_MPIDense, 1251 MatCopy_MPIDense, 1252 /* 44*/ NULL, 1253 MatScale_MPIDense, 1254 MatShift_MPIDense, 1255 NULL, 1256 NULL, 1257 /* 49*/ MatSetRandom_MPIDense, 1258 NULL, 1259 NULL, 1260 NULL, 1261 NULL, 1262 /* 54*/ NULL, 1263 NULL, 1264 NULL, 1265 NULL, 1266 NULL, 1267 /* 59*/ MatCreateSubMatrix_MPIDense, 1268 MatDestroy_MPIDense, 1269 MatView_MPIDense, 1270 NULL, 1271 NULL, 1272 /* 64*/ NULL, 1273 NULL, 1274 NULL, 1275 NULL, 1276 NULL, 1277 /* 69*/ NULL, 1278 NULL, 1279 NULL, 1280 NULL, 1281 NULL, 1282 /* 74*/ NULL, 1283 NULL, 1284 NULL, 1285 NULL, 1286 NULL, 1287 /* 79*/ NULL, 1288 NULL, 1289 NULL, 1290 NULL, 1291 /* 83*/ MatLoad_MPIDense, 1292 NULL, 1293 NULL, 1294 NULL, 1295 NULL, 1296 NULL, 1297 /* 89*/ NULL, 1298 NULL, 1299 NULL, 1300 NULL, 1301 NULL, 1302 /* 94*/ NULL, 1303 NULL, 1304 MatMatTransposeMultSymbolic_MPIDense_MPIDense, 1305 MatMatTransposeMultNumeric_MPIDense_MPIDense, 1306 NULL, 1307 /* 99*/ MatProductSetFromOptions_MPIDense, 1308 NULL, 1309 NULL, 1310 MatConjugate_MPIDense, 1311 NULL, 1312 /*104*/ NULL, 1313 MatRealPart_MPIDense, 1314 MatImaginaryPart_MPIDense, 1315 NULL, 1316 NULL, 1317 /*109*/ NULL, 1318 NULL, 1319 NULL, 1320 MatGetColumnVector_MPIDense, 1321 MatMissingDiagonal_MPIDense, 1322 /*114*/ NULL, 1323 NULL, 1324 NULL, 1325 NULL, 1326 NULL, 1327 /*119*/ NULL, 1328 NULL, 1329 MatMultHermitianTranspose_MPIDense, 1330 MatMultHermitianTransposeAdd_MPIDense, 1331 NULL, 1332 /*124*/ NULL, 1333 MatGetColumnReductions_MPIDense, 1334 NULL, 1335 NULL, 1336 NULL, 1337 /*129*/ NULL, 1338 NULL, 1339 MatTransposeMatMultSymbolic_MPIDense_MPIDense, 1340 MatTransposeMatMultNumeric_MPIDense_MPIDense, 1341 NULL, 1342 /*134*/ NULL, 1343 NULL, 1344 NULL, 1345 NULL, 1346 NULL, 1347 /*139*/ NULL, 1348 NULL, 1349 NULL, 1350 NULL, 1351 NULL, 1352 MatCreateMPIMatConcatenateSeqMat_MPIDense, 1353 /*145*/ NULL, 1354 NULL, 1355 NULL, 1356 NULL, 1357 NULL, 1358 /*150*/ NULL, 1359 NULL, 1360 NULL, 1361 NULL, 1362 NULL, 1363 NULL}; 1364 1365 static PetscErrorCode MatMPIDenseSetPreallocation_MPIDense(Mat mat, PetscScalar *data) 1366 { 1367 Mat_MPIDense *a = (Mat_MPIDense *)mat->data; 1368 MatType mtype = MATSEQDENSE; 1369 1370 PetscFunctionBegin; 1371 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)mat), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1372 PetscCall(PetscLayoutSetUp(mat->rmap)); 1373 PetscCall(PetscLayoutSetUp(mat->cmap)); 1374 if (!a->A) { 1375 PetscCall(MatCreate(PETSC_COMM_SELF, &a->A)); 1376 PetscCall(MatSetSizes(a->A, mat->rmap->n, mat->cmap->N, mat->rmap->n, mat->cmap->N)); 1377 } 1378 #if defined(PETSC_HAVE_CUDA) 1379 PetscBool iscuda; 1380 PetscCall(PetscObjectTypeCompare((PetscObject)mat, MATMPIDENSECUDA, &iscuda)); 1381 if (iscuda) mtype = MATSEQDENSECUDA; 1382 #endif 1383 #if defined(PETSC_HAVE_HIP) 1384 PetscBool iship; 1385 PetscCall(PetscObjectTypeCompare((PetscObject)mat, MATMPIDENSEHIP, &iship)); 1386 if (iship) mtype = MATSEQDENSEHIP; 1387 #endif 1388 PetscCall(MatSetType(a->A, mtype)); 1389 PetscCall(MatSeqDenseSetPreallocation(a->A, data)); 1390 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 1391 mat->offloadmask = a->A->offloadmask; 1392 #endif 1393 mat->preallocated = PETSC_TRUE; 1394 mat->assembled = PETSC_TRUE; 1395 PetscFunctionReturn(PETSC_SUCCESS); 1396 } 1397 1398 PETSC_INTERN PetscErrorCode MatConvert_MPIAIJ_MPIDense(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) 1399 { 1400 Mat B, C; 1401 1402 PetscFunctionBegin; 1403 PetscCall(MatMPIAIJGetLocalMat(A, MAT_INITIAL_MATRIX, &C)); 1404 PetscCall(MatConvert_SeqAIJ_SeqDense(C, MATSEQDENSE, MAT_INITIAL_MATRIX, &B)); 1405 PetscCall(MatDestroy(&C)); 1406 if (reuse == MAT_REUSE_MATRIX) { 1407 C = *newmat; 1408 } else C = NULL; 1409 PetscCall(MatCreateMPIMatConcatenateSeqMat(PetscObjectComm((PetscObject)A), B, A->cmap->n, !C ? MAT_INITIAL_MATRIX : MAT_REUSE_MATRIX, &C)); 1410 PetscCall(MatDestroy(&B)); 1411 if (reuse == MAT_INPLACE_MATRIX) { 1412 PetscCall(MatHeaderReplace(A, &C)); 1413 } else if (reuse == MAT_INITIAL_MATRIX) *newmat = C; 1414 PetscFunctionReturn(PETSC_SUCCESS); 1415 } 1416 1417 static PetscErrorCode MatConvert_MPIDense_MPIAIJ(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) 1418 { 1419 Mat B, C; 1420 1421 PetscFunctionBegin; 1422 PetscCall(MatDenseGetLocalMatrix(A, &C)); 1423 PetscCall(MatConvert_SeqDense_SeqAIJ(C, MATSEQAIJ, MAT_INITIAL_MATRIX, &B)); 1424 if (reuse == MAT_REUSE_MATRIX) { 1425 C = *newmat; 1426 } else C = NULL; 1427 PetscCall(MatCreateMPIMatConcatenateSeqMat(PetscObjectComm((PetscObject)A), B, A->cmap->n, !C ? MAT_INITIAL_MATRIX : MAT_REUSE_MATRIX, &C)); 1428 PetscCall(MatDestroy(&B)); 1429 if (reuse == MAT_INPLACE_MATRIX) { 1430 PetscCall(MatHeaderReplace(A, &C)); 1431 } else if (reuse == MAT_INITIAL_MATRIX) *newmat = C; 1432 PetscFunctionReturn(PETSC_SUCCESS); 1433 } 1434 1435 #if defined(PETSC_HAVE_ELEMENTAL) 1436 PETSC_INTERN PetscErrorCode MatConvert_MPIDense_Elemental(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) 1437 { 1438 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1439 Mat mat_elemental; 1440 PetscScalar *v; 1441 PetscInt m = A->rmap->n, N = A->cmap->N, rstart = A->rmap->rstart, i, *rows, *cols, lda; 1442 1443 PetscFunctionBegin; 1444 if (reuse == MAT_REUSE_MATRIX) { 1445 mat_elemental = *newmat; 1446 PetscCall(MatZeroEntries(*newmat)); 1447 } else { 1448 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &mat_elemental)); 1449 PetscCall(MatSetSizes(mat_elemental, PETSC_DECIDE, PETSC_DECIDE, A->rmap->N, A->cmap->N)); 1450 PetscCall(MatSetType(mat_elemental, MATELEMENTAL)); 1451 PetscCall(MatSetUp(mat_elemental)); 1452 PetscCall(MatSetOption(mat_elemental, MAT_ROW_ORIENTED, PETSC_FALSE)); 1453 } 1454 1455 PetscCall(PetscMalloc2(m, &rows, N, &cols)); 1456 for (i = 0; i < N; i++) cols[i] = i; 1457 for (i = 0; i < m; i++) rows[i] = rstart + i; 1458 1459 /* PETSc-Elemental interface uses axpy for setting off-processor entries, only ADD_VALUES is allowed */ 1460 PetscCall(MatDenseGetArray(A, &v)); 1461 PetscCall(MatDenseGetLDA(a->A, &lda)); 1462 if (lda == m) PetscCall(MatSetValues(mat_elemental, m, rows, N, cols, v, ADD_VALUES)); 1463 else { 1464 for (i = 0; i < N; i++) PetscCall(MatSetValues(mat_elemental, m, rows, 1, &i, v + lda * i, ADD_VALUES)); 1465 } 1466 PetscCall(MatAssemblyBegin(mat_elemental, MAT_FINAL_ASSEMBLY)); 1467 PetscCall(MatAssemblyEnd(mat_elemental, MAT_FINAL_ASSEMBLY)); 1468 PetscCall(MatDenseRestoreArray(A, &v)); 1469 PetscCall(PetscFree2(rows, cols)); 1470 1471 if (reuse == MAT_INPLACE_MATRIX) { 1472 PetscCall(MatHeaderReplace(A, &mat_elemental)); 1473 } else { 1474 *newmat = mat_elemental; 1475 } 1476 PetscFunctionReturn(PETSC_SUCCESS); 1477 } 1478 #endif 1479 1480 static PetscErrorCode MatDenseGetColumn_MPIDense(Mat A, PetscInt col, PetscScalar **vals) 1481 { 1482 Mat_MPIDense *mat = (Mat_MPIDense *)A->data; 1483 1484 PetscFunctionBegin; 1485 PetscCall(MatDenseGetColumn(mat->A, col, vals)); 1486 PetscFunctionReturn(PETSC_SUCCESS); 1487 } 1488 1489 static PetscErrorCode MatDenseRestoreColumn_MPIDense(Mat A, PetscScalar **vals) 1490 { 1491 Mat_MPIDense *mat = (Mat_MPIDense *)A->data; 1492 1493 PetscFunctionBegin; 1494 PetscCall(MatDenseRestoreColumn(mat->A, vals)); 1495 PetscFunctionReturn(PETSC_SUCCESS); 1496 } 1497 1498 PetscErrorCode MatCreateMPIMatConcatenateSeqMat_MPIDense(MPI_Comm comm, Mat inmat, PetscInt n, MatReuse scall, Mat *outmat) 1499 { 1500 Mat_MPIDense *mat; 1501 PetscInt m, nloc, N; 1502 1503 PetscFunctionBegin; 1504 PetscCall(MatGetSize(inmat, &m, &N)); 1505 PetscCall(MatGetLocalSize(inmat, NULL, &nloc)); 1506 if (scall == MAT_INITIAL_MATRIX) { /* symbolic phase */ 1507 PetscInt sum; 1508 1509 if (n == PETSC_DECIDE) PetscCall(PetscSplitOwnership(comm, &n, &N)); 1510 /* Check sum(n) = N */ 1511 PetscCall(MPIU_Allreduce(&n, &sum, 1, MPIU_INT, MPI_SUM, comm)); 1512 PetscCheck(sum == N, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "Sum of local columns %" PetscInt_FMT " != global columns %" PetscInt_FMT, sum, N); 1513 1514 PetscCall(MatCreateDense(comm, m, n, PETSC_DETERMINE, N, NULL, outmat)); 1515 PetscCall(MatSetOption(*outmat, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE)); 1516 } 1517 1518 /* numeric phase */ 1519 mat = (Mat_MPIDense *)(*outmat)->data; 1520 PetscCall(MatCopy(inmat, mat->A, SAME_NONZERO_PATTERN)); 1521 PetscFunctionReturn(PETSC_SUCCESS); 1522 } 1523 1524 PetscErrorCode MatDenseGetColumnVec_MPIDense(Mat A, PetscInt col, Vec *v) 1525 { 1526 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1527 PetscInt lda; 1528 1529 PetscFunctionBegin; 1530 PetscCheck(!a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 1531 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1532 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 1533 a->vecinuse = col + 1; 1534 PetscCall(MatDenseGetLDA(a->A, &lda)); 1535 PetscCall(MatDenseGetArray(a->A, (PetscScalar **)&a->ptrinuse)); 1536 PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)lda))); 1537 *v = a->cvec; 1538 PetscFunctionReturn(PETSC_SUCCESS); 1539 } 1540 1541 PetscErrorCode MatDenseRestoreColumnVec_MPIDense(Mat A, PetscInt col, Vec *v) 1542 { 1543 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1544 1545 PetscFunctionBegin; 1546 PetscCheck(a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 1547 PetscCheck(a->cvec, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column vector"); 1548 VecCheckAssembled(a->cvec); 1549 a->vecinuse = 0; 1550 PetscCall(MatDenseRestoreArray(a->A, (PetscScalar **)&a->ptrinuse)); 1551 PetscCall(VecResetArray(a->cvec)); 1552 if (v) *v = NULL; 1553 PetscFunctionReturn(PETSC_SUCCESS); 1554 } 1555 1556 PetscErrorCode MatDenseGetColumnVecRead_MPIDense(Mat A, PetscInt col, Vec *v) 1557 { 1558 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1559 PetscInt lda; 1560 1561 PetscFunctionBegin; 1562 PetscCheck(!a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 1563 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1564 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 1565 a->vecinuse = col + 1; 1566 PetscCall(MatDenseGetLDA(a->A, &lda)); 1567 PetscCall(MatDenseGetArrayRead(a->A, &a->ptrinuse)); 1568 PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)lda))); 1569 PetscCall(VecLockReadPush(a->cvec)); 1570 *v = a->cvec; 1571 PetscFunctionReturn(PETSC_SUCCESS); 1572 } 1573 1574 PetscErrorCode MatDenseRestoreColumnVecRead_MPIDense(Mat A, PetscInt col, Vec *v) 1575 { 1576 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1577 1578 PetscFunctionBegin; 1579 PetscCheck(a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 1580 PetscCheck(a->cvec, PetscObjectComm((PetscObject)A), PETSC_ERR_PLIB, "Missing internal column vector"); 1581 VecCheckAssembled(a->cvec); 1582 a->vecinuse = 0; 1583 PetscCall(MatDenseRestoreArrayRead(a->A, &a->ptrinuse)); 1584 PetscCall(VecLockReadPop(a->cvec)); 1585 PetscCall(VecResetArray(a->cvec)); 1586 if (v) *v = NULL; 1587 PetscFunctionReturn(PETSC_SUCCESS); 1588 } 1589 1590 PetscErrorCode MatDenseGetColumnVecWrite_MPIDense(Mat A, PetscInt col, Vec *v) 1591 { 1592 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1593 PetscInt lda; 1594 1595 PetscFunctionBegin; 1596 PetscCheck(!a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 1597 PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1598 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 1599 a->vecinuse = col + 1; 1600 PetscCall(MatDenseGetLDA(a->A, &lda)); 1601 PetscCall(MatDenseGetArrayWrite(a->A, (PetscScalar **)&a->ptrinuse)); 1602 PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)lda))); 1603 *v = a->cvec; 1604 PetscFunctionReturn(PETSC_SUCCESS); 1605 } 1606 1607 PetscErrorCode MatDenseRestoreColumnVecWrite_MPIDense(Mat A, PetscInt col, Vec *v) 1608 { 1609 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1610 1611 PetscFunctionBegin; 1612 PetscCheck(a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 1613 PetscCheck(a->cvec, PetscObjectComm((PetscObject)A), PETSC_ERR_PLIB, "Missing internal column vector"); 1614 VecCheckAssembled(a->cvec); 1615 a->vecinuse = 0; 1616 PetscCall(MatDenseRestoreArrayWrite(a->A, (PetscScalar **)&a->ptrinuse)); 1617 PetscCall(VecResetArray(a->cvec)); 1618 if (v) *v = NULL; 1619 PetscFunctionReturn(PETSC_SUCCESS); 1620 } 1621 1622 static PetscErrorCode MatDenseGetSubMatrix_MPIDense(Mat A, PetscInt rbegin, PetscInt rend, PetscInt cbegin, PetscInt cend, Mat *v) 1623 { 1624 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1625 Mat_MPIDense *c; 1626 MPI_Comm comm; 1627 PetscInt pbegin, pend; 1628 1629 PetscFunctionBegin; 1630 PetscCall(PetscObjectGetComm((PetscObject)A, &comm)); 1631 PetscCheck(!a->vecinuse, comm, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 1632 PetscCheck(!a->matinuse, comm, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1633 pbegin = PetscMax(0, PetscMin(A->rmap->rend, rbegin) - A->rmap->rstart); 1634 pend = PetscMin(A->rmap->n, PetscMax(0, rend - A->rmap->rstart)); 1635 if (!a->cmat) { 1636 PetscCall(MatCreate(comm, &a->cmat)); 1637 PetscCall(MatSetType(a->cmat, ((PetscObject)A)->type_name)); 1638 if (rend - rbegin == A->rmap->N) PetscCall(PetscLayoutReference(A->rmap, &a->cmat->rmap)); 1639 else { 1640 PetscCall(PetscLayoutSetLocalSize(a->cmat->rmap, pend - pbegin)); 1641 PetscCall(PetscLayoutSetSize(a->cmat->rmap, rend - rbegin)); 1642 PetscCall(PetscLayoutSetUp(a->cmat->rmap)); 1643 } 1644 PetscCall(PetscLayoutSetSize(a->cmat->cmap, cend - cbegin)); 1645 PetscCall(PetscLayoutSetUp(a->cmat->cmap)); 1646 } else { 1647 PetscBool same = (PetscBool)(rend - rbegin == a->cmat->rmap->N); 1648 if (same && a->cmat->rmap->N != A->rmap->N) { 1649 same = (PetscBool)(pend - pbegin == a->cmat->rmap->n); 1650 PetscCall(MPIU_Allreduce(MPI_IN_PLACE, &same, 1, MPIU_BOOL, MPI_LAND, PetscObjectComm((PetscObject)A))); 1651 } 1652 if (!same) { 1653 PetscCall(PetscLayoutDestroy(&a->cmat->rmap)); 1654 PetscCall(PetscLayoutCreate(comm, &a->cmat->rmap)); 1655 PetscCall(PetscLayoutSetLocalSize(a->cmat->rmap, pend - pbegin)); 1656 PetscCall(PetscLayoutSetSize(a->cmat->rmap, rend - rbegin)); 1657 PetscCall(PetscLayoutSetUp(a->cmat->rmap)); 1658 } 1659 if (cend - cbegin != a->cmat->cmap->N) { 1660 PetscCall(PetscLayoutDestroy(&a->cmat->cmap)); 1661 PetscCall(PetscLayoutCreate(comm, &a->cmat->cmap)); 1662 PetscCall(PetscLayoutSetSize(a->cmat->cmap, cend - cbegin)); 1663 PetscCall(PetscLayoutSetUp(a->cmat->cmap)); 1664 } 1665 } 1666 c = (Mat_MPIDense *)a->cmat->data; 1667 PetscCheck(!c->A, comm, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1668 PetscCall(MatDenseGetSubMatrix(a->A, pbegin, pend, cbegin, cend, &c->A)); 1669 1670 a->cmat->preallocated = PETSC_TRUE; 1671 a->cmat->assembled = PETSC_TRUE; 1672 #if defined(PETSC_HAVE_DEVICE) 1673 a->cmat->offloadmask = c->A->offloadmask; 1674 #endif 1675 a->matinuse = cbegin + 1; 1676 *v = a->cmat; 1677 PetscFunctionReturn(PETSC_SUCCESS); 1678 } 1679 1680 static PetscErrorCode MatDenseRestoreSubMatrix_MPIDense(Mat A, Mat *v) 1681 { 1682 Mat_MPIDense *a = (Mat_MPIDense *)A->data; 1683 Mat_MPIDense *c; 1684 1685 PetscFunctionBegin; 1686 PetscCheck(a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseGetSubMatrix() first"); 1687 PetscCheck(a->cmat, PetscObjectComm((PetscObject)A), PETSC_ERR_PLIB, "Missing internal matrix"); 1688 PetscCheck(*v == a->cmat, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Not the matrix obtained from MatDenseGetSubMatrix()"); 1689 a->matinuse = 0; 1690 c = (Mat_MPIDense *)a->cmat->data; 1691 PetscCall(MatDenseRestoreSubMatrix(a->A, &c->A)); 1692 if (v) *v = NULL; 1693 #if defined(PETSC_HAVE_DEVICE) 1694 A->offloadmask = a->A->offloadmask; 1695 #endif 1696 PetscFunctionReturn(PETSC_SUCCESS); 1697 } 1698 1699 /*MC 1700 MATMPIDENSE - MATMPIDENSE = "mpidense" - A matrix type to be used for distributed dense matrices. 1701 1702 Options Database Key: 1703 . -mat_type mpidense - sets the matrix type to `MATMPIDENSE` during a call to `MatSetFromOptions()` 1704 1705 Level: beginner 1706 1707 .seealso: [](ch_matrices), `Mat`, `MatCreateDense()`, `MATSEQDENSE`, `MATDENSE` 1708 M*/ 1709 PetscErrorCode MatCreate_MPIDense(Mat mat) 1710 { 1711 Mat_MPIDense *a; 1712 1713 PetscFunctionBegin; 1714 PetscCall(PetscNew(&a)); 1715 mat->data = (void *)a; 1716 mat->ops[0] = MatOps_Values; 1717 1718 mat->insertmode = NOT_SET_VALUES; 1719 1720 /* build cache for off array entries formed */ 1721 a->donotstash = PETSC_FALSE; 1722 1723 PetscCall(MatStashCreate_Private(PetscObjectComm((PetscObject)mat), 1, &mat->stash)); 1724 1725 /* stuff used for matrix vector multiply */ 1726 a->lvec = NULL; 1727 a->Mvctx = NULL; 1728 a->roworiented = PETSC_TRUE; 1729 1730 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetLDA_C", MatDenseGetLDA_MPIDense)); 1731 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseSetLDA_C", MatDenseSetLDA_MPIDense)); 1732 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArray_C", MatDenseGetArray_MPIDense)); 1733 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArray_C", MatDenseRestoreArray_MPIDense)); 1734 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArrayRead_C", MatDenseGetArrayRead_MPIDense)); 1735 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArrayRead_C", MatDenseRestoreArrayRead_MPIDense)); 1736 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArrayWrite_C", MatDenseGetArrayWrite_MPIDense)); 1737 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArrayWrite_C", MatDenseRestoreArrayWrite_MPIDense)); 1738 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDensePlaceArray_C", MatDensePlaceArray_MPIDense)); 1739 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseResetArray_C", MatDenseResetArray_MPIDense)); 1740 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseReplaceArray_C", MatDenseReplaceArray_MPIDense)); 1741 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVec_C", MatDenseGetColumnVec_MPIDense)); 1742 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVec_C", MatDenseRestoreColumnVec_MPIDense)); 1743 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVecRead_C", MatDenseGetColumnVecRead_MPIDense)); 1744 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVecRead_C", MatDenseRestoreColumnVecRead_MPIDense)); 1745 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVecWrite_C", MatDenseGetColumnVecWrite_MPIDense)); 1746 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVecWrite_C", MatDenseRestoreColumnVecWrite_MPIDense)); 1747 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetSubMatrix_C", MatDenseGetSubMatrix_MPIDense)); 1748 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreSubMatrix_C", MatDenseRestoreSubMatrix_MPIDense)); 1749 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpiaij_mpidense_C", MatConvert_MPIAIJ_MPIDense)); 1750 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_mpiaij_C", MatConvert_MPIDense_MPIAIJ)); 1751 #if defined(PETSC_HAVE_ELEMENTAL) 1752 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_elemental_C", MatConvert_MPIDense_Elemental)); 1753 #endif 1754 #if defined(PETSC_HAVE_SCALAPACK) 1755 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_scalapack_C", MatConvert_Dense_ScaLAPACK)); 1756 #endif 1757 #if defined(PETSC_HAVE_CUDA) 1758 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_mpidensecuda_C", MatConvert_MPIDense_MPIDenseCUDA)); 1759 #endif 1760 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMPIDenseSetPreallocation_C", MatMPIDenseSetPreallocation_MPIDense)); 1761 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaij_mpidense_C", MatProductSetFromOptions_MPIAIJ_MPIDense)); 1762 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidense_mpiaij_C", MatProductSetFromOptions_MPIDense_MPIAIJ)); 1763 #if defined(PETSC_HAVE_CUDA) 1764 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaijcusparse_mpidense_C", MatProductSetFromOptions_MPIAIJ_MPIDense)); 1765 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidense_mpiaijcusparse_C", MatProductSetFromOptions_MPIDense_MPIAIJ)); 1766 #endif 1767 #if defined(PETSC_HAVE_HIP) 1768 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_mpidensehip_C", MatConvert_MPIDense_MPIDenseHIP)); 1769 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaijhipsparse_mpidense_C", MatProductSetFromOptions_MPIAIJ_MPIDense)); 1770 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidense_mpiaijhipsparse_C", MatProductSetFromOptions_MPIDense_MPIAIJ)); 1771 #endif 1772 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumn_C", MatDenseGetColumn_MPIDense)); 1773 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumn_C", MatDenseRestoreColumn_MPIDense)); 1774 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultAddColumnRange_C", MatMultAddColumnRange_MPIDense)); 1775 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultHermitianTransposeColumnRange_C", MatMultHermitianTransposeColumnRange_MPIDense)); 1776 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultHermitianTransposeAddColumnRange_C", MatMultHermitianTransposeAddColumnRange_MPIDense)); 1777 PetscCall(PetscObjectChangeTypeName((PetscObject)mat, MATMPIDENSE)); 1778 PetscFunctionReturn(PETSC_SUCCESS); 1779 } 1780 1781 /*MC 1782 MATDENSE - MATDENSE = "dense" - A matrix type to be used for dense matrices. 1783 1784 This matrix type is identical to `MATSEQDENSE` when constructed with a single process communicator, 1785 and `MATMPIDENSE` otherwise. 1786 1787 Options Database Key: 1788 . -mat_type dense - sets the matrix type to `MATDENSE` during a call to `MatSetFromOptions()` 1789 1790 Level: beginner 1791 1792 .seealso: [](ch_matrices), `Mat`, `MATSEQDENSE`, `MATMPIDENSE`, `MATDENSECUDA`, `MATDENSEHIP` 1793 M*/ 1794 1795 /*@ 1796 MatMPIDenseSetPreallocation - Sets the array used to store the matrix entries 1797 1798 Collective 1799 1800 Input Parameters: 1801 + B - the matrix 1802 - data - optional location of matrix data. Set to `NULL` for PETSc 1803 to control all matrix memory allocation. 1804 1805 Level: intermediate 1806 1807 Notes: 1808 The dense format is fully compatible with standard Fortran 1809 storage by columns. 1810 1811 The data input variable is intended primarily for Fortran programmers 1812 who wish to allocate their own matrix memory space. Most users should 1813 set `data` to `NULL`. 1814 1815 .seealso: [](ch_matrices), `Mat`, `MATMPIDENSE`, `MatCreate()`, `MatCreateSeqDense()`, `MatSetValues()` 1816 @*/ 1817 PetscErrorCode MatMPIDenseSetPreallocation(Mat B, PetscScalar *data) 1818 { 1819 PetscFunctionBegin; 1820 PetscValidHeaderSpecific(B, MAT_CLASSID, 1); 1821 PetscTryMethod(B, "MatMPIDenseSetPreallocation_C", (Mat, PetscScalar *), (B, data)); 1822 PetscFunctionReturn(PETSC_SUCCESS); 1823 } 1824 1825 /*@ 1826 MatDensePlaceArray - Allows one to replace the array in a `MATDENSE` matrix with an 1827 array provided by the user. This is useful to avoid copying an array 1828 into a matrix 1829 1830 Not Collective 1831 1832 Input Parameters: 1833 + mat - the matrix 1834 - array - the array in column major order 1835 1836 Level: developer 1837 1838 Note: 1839 You can return to the original array with a call to `MatDenseResetArray()`. The user is responsible for freeing this array; it will not be 1840 freed when the matrix is destroyed. 1841 1842 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArray()`, `MatDenseResetArray()`, `VecPlaceArray()`, `VecGetArray()`, `VecRestoreArray()`, `VecReplaceArray()`, `VecResetArray()`, 1843 `MatDenseReplaceArray()` 1844 @*/ 1845 PetscErrorCode MatDensePlaceArray(Mat mat, const PetscScalar *array) 1846 { 1847 PetscFunctionBegin; 1848 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 1849 PetscUseMethod(mat, "MatDensePlaceArray_C", (Mat, const PetscScalar *), (mat, array)); 1850 PetscCall(PetscObjectStateIncrease((PetscObject)mat)); 1851 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 1852 mat->offloadmask = PETSC_OFFLOAD_CPU; 1853 #endif 1854 PetscFunctionReturn(PETSC_SUCCESS); 1855 } 1856 1857 /*@ 1858 MatDenseResetArray - Resets the matrix array to that it previously had before the call to `MatDensePlaceArray()` 1859 1860 Not Collective 1861 1862 Input Parameter: 1863 . mat - the matrix 1864 1865 Level: developer 1866 1867 Note: 1868 You can only call this after a call to `MatDensePlaceArray()` 1869 1870 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArray()`, `MatDensePlaceArray()`, `VecPlaceArray()`, `VecGetArray()`, `VecRestoreArray()`, `VecReplaceArray()`, `VecResetArray()` 1871 @*/ 1872 PetscErrorCode MatDenseResetArray(Mat mat) 1873 { 1874 PetscFunctionBegin; 1875 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 1876 PetscUseMethod(mat, "MatDenseResetArray_C", (Mat), (mat)); 1877 PetscCall(PetscObjectStateIncrease((PetscObject)mat)); 1878 PetscFunctionReturn(PETSC_SUCCESS); 1879 } 1880 1881 /*@ 1882 MatDenseReplaceArray - Allows one to replace the array in a dense matrix with an 1883 array provided by the user. This is useful to avoid copying an array 1884 into a matrix 1885 1886 Not Collective 1887 1888 Input Parameters: 1889 + mat - the matrix 1890 - array - the array in column major order 1891 1892 Level: developer 1893 1894 Note: 1895 The memory passed in MUST be obtained with `PetscMalloc()` and CANNOT be 1896 freed by the user. It will be freed when the matrix is destroyed. 1897 1898 .seealso: [](ch_matrices), `Mat`, `MatDensePlaceArray()`, `MatDenseGetArray()`, `VecReplaceArray()` 1899 @*/ 1900 PetscErrorCode MatDenseReplaceArray(Mat mat, const PetscScalar *array) 1901 { 1902 PetscFunctionBegin; 1903 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 1904 PetscUseMethod(mat, "MatDenseReplaceArray_C", (Mat, const PetscScalar *), (mat, array)); 1905 PetscCall(PetscObjectStateIncrease((PetscObject)mat)); 1906 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 1907 mat->offloadmask = PETSC_OFFLOAD_CPU; 1908 #endif 1909 PetscFunctionReturn(PETSC_SUCCESS); 1910 } 1911 1912 /*@ 1913 MatCreateDense - Creates a matrix in `MATDENSE` format. 1914 1915 Collective 1916 1917 Input Parameters: 1918 + comm - MPI communicator 1919 . m - number of local rows (or `PETSC_DECIDE` to have calculated if `M` is given) 1920 . n - number of local columns (or `PETSC_DECIDE` to have calculated if `N` is given) 1921 . M - number of global rows (or `PETSC_DECIDE` to have calculated if `m` is given) 1922 . N - number of global columns (or `PETSC_DECIDE` to have calculated if `n` is given) 1923 - data - optional location of matrix data. Set data to `NULL` (`PETSC_NULL_SCALAR` for Fortran users) for PETSc 1924 to control all matrix memory allocation. 1925 1926 Output Parameter: 1927 . A - the matrix 1928 1929 Level: intermediate 1930 1931 Notes: 1932 The dense format is fully compatible with standard Fortran 1933 storage by columns. 1934 1935 Although local portions of the matrix are stored in column-major 1936 order, the matrix is partitioned across MPI ranks by row. 1937 1938 The data input variable is intended primarily for Fortran programmers 1939 who wish to allocate their own matrix memory space. Most users should 1940 set `data` to `NULL` (`PETSC_NULL_SCALAR` for Fortran users). 1941 1942 The user MUST specify either the local or global matrix dimensions 1943 (possibly both). 1944 1945 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatCreate()`, `MatCreateSeqDense()`, `MatSetValues()` 1946 @*/ 1947 PetscErrorCode MatCreateDense(MPI_Comm comm, PetscInt m, PetscInt n, PetscInt M, PetscInt N, PetscScalar *data, Mat *A) 1948 { 1949 PetscFunctionBegin; 1950 PetscCall(MatCreate(comm, A)); 1951 PetscCall(MatSetSizes(*A, m, n, M, N)); 1952 PetscCall(MatSetType(*A, MATDENSE)); 1953 PetscCall(MatSeqDenseSetPreallocation(*A, data)); 1954 PetscCall(MatMPIDenseSetPreallocation(*A, data)); 1955 PetscFunctionReturn(PETSC_SUCCESS); 1956 } 1957 1958 static PetscErrorCode MatDuplicate_MPIDense(Mat A, MatDuplicateOption cpvalues, Mat *newmat) 1959 { 1960 Mat mat; 1961 Mat_MPIDense *a, *oldmat = (Mat_MPIDense *)A->data; 1962 1963 PetscFunctionBegin; 1964 *newmat = NULL; 1965 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &mat)); 1966 PetscCall(MatSetSizes(mat, A->rmap->n, A->cmap->n, A->rmap->N, A->cmap->N)); 1967 PetscCall(MatSetType(mat, ((PetscObject)A)->type_name)); 1968 a = (Mat_MPIDense *)mat->data; 1969 1970 mat->factortype = A->factortype; 1971 mat->assembled = PETSC_TRUE; 1972 mat->preallocated = PETSC_TRUE; 1973 1974 mat->insertmode = NOT_SET_VALUES; 1975 a->donotstash = oldmat->donotstash; 1976 1977 PetscCall(PetscLayoutReference(A->rmap, &mat->rmap)); 1978 PetscCall(PetscLayoutReference(A->cmap, &mat->cmap)); 1979 1980 PetscCall(MatDuplicate(oldmat->A, cpvalues, &a->A)); 1981 1982 *newmat = mat; 1983 PetscFunctionReturn(PETSC_SUCCESS); 1984 } 1985 1986 static PetscErrorCode MatLoad_MPIDense(Mat newMat, PetscViewer viewer) 1987 { 1988 PetscBool isbinary; 1989 #if defined(PETSC_HAVE_HDF5) 1990 PetscBool ishdf5; 1991 #endif 1992 1993 PetscFunctionBegin; 1994 PetscValidHeaderSpecific(newMat, MAT_CLASSID, 1); 1995 PetscValidHeaderSpecific(viewer, PETSC_VIEWER_CLASSID, 2); 1996 /* force binary viewer to load .info file if it has not yet done so */ 1997 PetscCall(PetscViewerSetUp(viewer)); 1998 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary)); 1999 #if defined(PETSC_HAVE_HDF5) 2000 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERHDF5, &ishdf5)); 2001 #endif 2002 if (isbinary) { 2003 PetscCall(MatLoad_Dense_Binary(newMat, viewer)); 2004 #if defined(PETSC_HAVE_HDF5) 2005 } else if (ishdf5) { 2006 PetscCall(MatLoad_Dense_HDF5(newMat, viewer)); 2007 #endif 2008 } 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); 2009 PetscFunctionReturn(PETSC_SUCCESS); 2010 } 2011 2012 static PetscErrorCode MatEqual_MPIDense(Mat A, Mat B, PetscBool *flag) 2013 { 2014 Mat_MPIDense *matB = (Mat_MPIDense *)B->data, *matA = (Mat_MPIDense *)A->data; 2015 Mat a, b; 2016 2017 PetscFunctionBegin; 2018 a = matA->A; 2019 b = matB->A; 2020 PetscCall(MatEqual(a, b, flag)); 2021 PetscCall(MPIU_Allreduce(MPI_IN_PLACE, flag, 1, MPIU_BOOL, MPI_LAND, PetscObjectComm((PetscObject)A))); 2022 PetscFunctionReturn(PETSC_SUCCESS); 2023 } 2024 2025 static PetscErrorCode MatDestroy_MatTransMatMult_MPIDense_MPIDense(void *data) 2026 { 2027 Mat_TransMatMultDense *atb = (Mat_TransMatMultDense *)data; 2028 2029 PetscFunctionBegin; 2030 PetscCall(PetscFree2(atb->sendbuf, atb->recvcounts)); 2031 PetscCall(MatDestroy(&atb->atb)); 2032 PetscCall(PetscFree(atb)); 2033 PetscFunctionReturn(PETSC_SUCCESS); 2034 } 2035 2036 static PetscErrorCode MatDestroy_MatMatTransMult_MPIDense_MPIDense(void *data) 2037 { 2038 Mat_MatTransMultDense *abt = (Mat_MatTransMultDense *)data; 2039 2040 PetscFunctionBegin; 2041 PetscCall(PetscFree2(abt->buf[0], abt->buf[1])); 2042 PetscCall(PetscFree2(abt->recvcounts, abt->recvdispls)); 2043 PetscCall(PetscFree(abt)); 2044 PetscFunctionReturn(PETSC_SUCCESS); 2045 } 2046 2047 static PetscErrorCode MatTransposeMatMultNumeric_MPIDense_MPIDense(Mat A, Mat B, Mat C) 2048 { 2049 Mat_MPIDense *a = (Mat_MPIDense *)A->data, *b = (Mat_MPIDense *)B->data, *c = (Mat_MPIDense *)C->data; 2050 Mat_TransMatMultDense *atb; 2051 MPI_Comm comm; 2052 PetscMPIInt size, *recvcounts; 2053 PetscScalar *carray, *sendbuf; 2054 const PetscScalar *atbarray; 2055 PetscInt i, cN = C->cmap->N, proc, k, j, lda; 2056 const PetscInt *ranges; 2057 2058 PetscFunctionBegin; 2059 MatCheckProduct(C, 3); 2060 PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data empty"); 2061 atb = (Mat_TransMatMultDense *)C->product->data; 2062 recvcounts = atb->recvcounts; 2063 sendbuf = atb->sendbuf; 2064 2065 PetscCall(PetscObjectGetComm((PetscObject)A, &comm)); 2066 PetscCallMPI(MPI_Comm_size(comm, &size)); 2067 2068 /* compute atbarray = aseq^T * bseq */ 2069 PetscCall(MatTransposeMatMult(a->A, b->A, atb->atb ? MAT_REUSE_MATRIX : MAT_INITIAL_MATRIX, PETSC_DETERMINE, &atb->atb)); 2070 2071 PetscCall(MatGetOwnershipRanges(C, &ranges)); 2072 2073 /* arrange atbarray into sendbuf */ 2074 PetscCall(MatDenseGetArrayRead(atb->atb, &atbarray)); 2075 PetscCall(MatDenseGetLDA(atb->atb, &lda)); 2076 for (proc = 0, k = 0; proc < size; proc++) { 2077 for (j = 0; j < cN; j++) { 2078 for (i = ranges[proc]; i < ranges[proc + 1]; i++) sendbuf[k++] = atbarray[i + j * lda]; 2079 } 2080 } 2081 PetscCall(MatDenseRestoreArrayRead(atb->atb, &atbarray)); 2082 2083 /* sum all atbarray to local values of C */ 2084 PetscCall(MatDenseGetArrayWrite(c->A, &carray)); 2085 PetscCallMPI(MPI_Reduce_scatter(sendbuf, carray, recvcounts, MPIU_SCALAR, MPIU_SUM, comm)); 2086 PetscCall(MatDenseRestoreArrayWrite(c->A, &carray)); 2087 PetscCall(MatSetOption(C, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE)); 2088 PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY)); 2089 PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY)); 2090 PetscFunctionReturn(PETSC_SUCCESS); 2091 } 2092 2093 static PetscErrorCode MatTransposeMatMultSymbolic_MPIDense_MPIDense(Mat A, Mat B, PetscReal fill, Mat C) 2094 { 2095 MPI_Comm comm; 2096 PetscMPIInt size; 2097 PetscInt cm = A->cmap->n, cM, cN = B->cmap->N; 2098 Mat_TransMatMultDense *atb; 2099 PetscBool cisdense = PETSC_FALSE; 2100 PetscInt i; 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 (i = 0; i < size; i++) atb->recvcounts[i] = (ranges[i + 1] - ranges[i]) * cN; 2129 2130 C->product->data = atb; 2131 C->product->destroy = MatDestroy_MatTransMatMult_MPIDense_MPIDense; 2132 PetscFunctionReturn(PETSC_SUCCESS); 2133 } 2134 2135 static PetscErrorCode MatMatTransposeMultSymbolic_MPIDense_MPIDense(Mat A, Mat B, PetscReal fill, Mat C) 2136 { 2137 MPI_Comm comm; 2138 PetscMPIInt i, size; 2139 PetscInt maxRows, bufsiz; 2140 PetscMPIInt tag; 2141 PetscInt alg; 2142 Mat_MatTransMultDense *abt; 2143 Mat_Product *product = C->product; 2144 PetscBool flg; 2145 2146 PetscFunctionBegin; 2147 MatCheckProduct(C, 4); 2148 PetscCheck(!C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data not empty"); 2149 /* check local size of A and B */ 2150 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); 2151 2152 PetscCall(PetscStrcmp(product->alg, "allgatherv", &flg)); 2153 alg = flg ? 0 : 1; 2154 2155 /* setup matrix product C */ 2156 PetscCall(MatSetSizes(C, A->rmap->n, B->rmap->n, A->rmap->N, B->rmap->N)); 2157 PetscCall(MatSetType(C, MATMPIDENSE)); 2158 PetscCall(MatSetUp(C)); 2159 PetscCall(PetscObjectGetNewTag((PetscObject)C, &tag)); 2160 2161 /* create data structure for reuse C */ 2162 PetscCall(PetscObjectGetComm((PetscObject)C, &comm)); 2163 PetscCallMPI(MPI_Comm_size(comm, &size)); 2164 PetscCall(PetscNew(&abt)); 2165 abt->tag = tag; 2166 abt->alg = alg; 2167 switch (alg) { 2168 case 1: /* alg: "cyclic" */ 2169 for (maxRows = 0, i = 0; i < size; i++) maxRows = PetscMax(maxRows, (B->rmap->range[i + 1] - B->rmap->range[i])); 2170 bufsiz = A->cmap->N * maxRows; 2171 PetscCall(PetscMalloc2(bufsiz, &abt->buf[0], bufsiz, &abt->buf[1])); 2172 break; 2173 default: /* alg: "allgatherv" */ 2174 PetscCall(PetscMalloc2(B->rmap->n * B->cmap->N, &abt->buf[0], B->rmap->N * B->cmap->N, &abt->buf[1])); 2175 PetscCall(PetscMalloc2(size, &abt->recvcounts, size + 1, &abt->recvdispls)); 2176 for (i = 0; i <= size; i++) abt->recvdispls[i] = B->rmap->range[i] * A->cmap->N; 2177 for (i = 0; i < size; i++) abt->recvcounts[i] = abt->recvdispls[i + 1] - abt->recvdispls[i]; 2178 break; 2179 } 2180 2181 C->product->data = abt; 2182 C->product->destroy = MatDestroy_MatMatTransMult_MPIDense_MPIDense; 2183 C->ops->mattransposemultnumeric = MatMatTransposeMultNumeric_MPIDense_MPIDense; 2184 PetscFunctionReturn(PETSC_SUCCESS); 2185 } 2186 2187 static PetscErrorCode MatMatTransposeMultNumeric_MPIDense_MPIDense_Cyclic(Mat A, Mat B, Mat C) 2188 { 2189 Mat_MPIDense *a = (Mat_MPIDense *)A->data, *b = (Mat_MPIDense *)B->data, *c = (Mat_MPIDense *)C->data; 2190 Mat_MatTransMultDense *abt; 2191 MPI_Comm comm; 2192 PetscMPIInt rank, size, sendsiz, recvsiz, sendto, recvfrom, recvisfrom; 2193 PetscScalar *sendbuf, *recvbuf = NULL, *cv; 2194 PetscInt i, cK = A->cmap->N, k, j, bn; 2195 PetscScalar _DOne = 1.0, _DZero = 0.0; 2196 const PetscScalar *av, *bv; 2197 PetscBLASInt cm, cn, ck, alda, blda = 0, clda; 2198 MPI_Request reqs[2]; 2199 const PetscInt *ranges; 2200 2201 PetscFunctionBegin; 2202 MatCheckProduct(C, 3); 2203 PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data empty"); 2204 abt = (Mat_MatTransMultDense *)C->product->data; 2205 PetscCall(PetscObjectGetComm((PetscObject)C, &comm)); 2206 PetscCallMPI(MPI_Comm_rank(comm, &rank)); 2207 PetscCallMPI(MPI_Comm_size(comm, &size)); 2208 PetscCall(MatDenseGetArrayRead(a->A, &av)); 2209 PetscCall(MatDenseGetArrayRead(b->A, &bv)); 2210 PetscCall(MatDenseGetArrayWrite(c->A, &cv)); 2211 PetscCall(MatDenseGetLDA(a->A, &i)); 2212 PetscCall(PetscBLASIntCast(i, &alda)); 2213 PetscCall(MatDenseGetLDA(b->A, &i)); 2214 PetscCall(PetscBLASIntCast(i, &blda)); 2215 PetscCall(MatDenseGetLDA(c->A, &i)); 2216 PetscCall(PetscBLASIntCast(i, &clda)); 2217 PetscCall(MatGetOwnershipRanges(B, &ranges)); 2218 bn = B->rmap->n; 2219 if (blda == bn) { 2220 sendbuf = (PetscScalar *)bv; 2221 } else { 2222 sendbuf = abt->buf[0]; 2223 for (k = 0, i = 0; i < cK; i++) { 2224 for (j = 0; j < bn; j++, k++) sendbuf[k] = bv[i * blda + j]; 2225 } 2226 } 2227 if (size > 1) { 2228 sendto = (rank + size - 1) % size; 2229 recvfrom = (rank + size + 1) % size; 2230 } else { 2231 sendto = recvfrom = 0; 2232 } 2233 PetscCall(PetscBLASIntCast(cK, &ck)); 2234 PetscCall(PetscBLASIntCast(c->A->rmap->n, &cm)); 2235 recvisfrom = rank; 2236 for (i = 0; i < size; i++) { 2237 /* we have finished receiving in sending, bufs can be read/modified */ 2238 PetscInt nextrecvisfrom = (recvisfrom + 1) % size; /* which process the next recvbuf will originate on */ 2239 PetscInt nextbn = ranges[nextrecvisfrom + 1] - ranges[nextrecvisfrom]; 2240 2241 if (nextrecvisfrom != rank) { 2242 /* start the cyclic sends from sendbuf, to recvbuf (which will switch to sendbuf) */ 2243 sendsiz = cK * bn; 2244 recvsiz = cK * nextbn; 2245 recvbuf = (i & 1) ? abt->buf[0] : abt->buf[1]; 2246 PetscCallMPI(MPI_Isend(sendbuf, sendsiz, MPIU_SCALAR, sendto, abt->tag, comm, &reqs[0])); 2247 PetscCallMPI(MPI_Irecv(recvbuf, recvsiz, MPIU_SCALAR, recvfrom, abt->tag, comm, &reqs[1])); 2248 } 2249 2250 /* local aseq * sendbuf^T */ 2251 PetscCall(PetscBLASIntCast(ranges[recvisfrom + 1] - ranges[recvisfrom], &cn)); 2252 if (cm && cn && ck) PetscCallBLAS("BLASgemm", BLASgemm_("N", "T", &cm, &cn, &ck, &_DOne, av, &alda, sendbuf, &cn, &_DZero, cv + clda * ranges[recvisfrom], &clda)); 2253 2254 if (nextrecvisfrom != rank) { 2255 /* wait for the sends and receives to complete, swap sendbuf and recvbuf */ 2256 PetscCallMPI(MPI_Waitall(2, reqs, MPI_STATUSES_IGNORE)); 2257 } 2258 bn = nextbn; 2259 recvisfrom = nextrecvisfrom; 2260 sendbuf = recvbuf; 2261 } 2262 PetscCall(MatDenseRestoreArrayRead(a->A, &av)); 2263 PetscCall(MatDenseRestoreArrayRead(b->A, &bv)); 2264 PetscCall(MatDenseRestoreArrayWrite(c->A, &cv)); 2265 PetscCall(MatSetOption(C, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE)); 2266 PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY)); 2267 PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY)); 2268 PetscFunctionReturn(PETSC_SUCCESS); 2269 } 2270 2271 static PetscErrorCode MatMatTransposeMultNumeric_MPIDense_MPIDense_Allgatherv(Mat A, Mat B, Mat C) 2272 { 2273 Mat_MPIDense *a = (Mat_MPIDense *)A->data, *b = (Mat_MPIDense *)B->data, *c = (Mat_MPIDense *)C->data; 2274 Mat_MatTransMultDense *abt; 2275 MPI_Comm comm; 2276 PetscMPIInt size; 2277 PetscScalar *cv, *sendbuf, *recvbuf; 2278 const PetscScalar *av, *bv; 2279 PetscInt blda, i, cK = A->cmap->N, k, j, bn; 2280 PetscScalar _DOne = 1.0, _DZero = 0.0; 2281 PetscBLASInt cm, cn, ck, alda, clda; 2282 2283 PetscFunctionBegin; 2284 MatCheckProduct(C, 3); 2285 PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data empty"); 2286 abt = (Mat_MatTransMultDense *)C->product->data; 2287 PetscCall(PetscObjectGetComm((PetscObject)A, &comm)); 2288 PetscCallMPI(MPI_Comm_size(comm, &size)); 2289 PetscCall(MatDenseGetArrayRead(a->A, &av)); 2290 PetscCall(MatDenseGetArrayRead(b->A, &bv)); 2291 PetscCall(MatDenseGetArrayWrite(c->A, &cv)); 2292 PetscCall(MatDenseGetLDA(a->A, &i)); 2293 PetscCall(PetscBLASIntCast(i, &alda)); 2294 PetscCall(MatDenseGetLDA(b->A, &blda)); 2295 PetscCall(MatDenseGetLDA(c->A, &i)); 2296 PetscCall(PetscBLASIntCast(i, &clda)); 2297 /* copy transpose of B into buf[0] */ 2298 bn = B->rmap->n; 2299 sendbuf = abt->buf[0]; 2300 recvbuf = abt->buf[1]; 2301 for (k = 0, j = 0; j < bn; j++) { 2302 for (i = 0; i < cK; i++, k++) sendbuf[k] = bv[i * blda + j]; 2303 } 2304 PetscCall(MatDenseRestoreArrayRead(b->A, &bv)); 2305 PetscCallMPI(MPI_Allgatherv(sendbuf, bn * cK, 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