Actual source code: mpidense.c
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: */
7: #include <../src/mat/impls/dense/mpi/mpidense.h>
8: #include <../src/mat/impls/aij/mpi/mpiaij.h>
9: #include <petscblaslapack.h>
10: #include <petsc/private/vecimpl.h>
12: /*@
13: MatDenseGetLocalMatrix - For a `MATMPIDENSE` or `MATSEQDENSE` matrix returns the sequential
14: matrix that represents the operator. For sequential matrices it returns itself.
16: Input Parameter:
17: . A - the sequential or MPI `MATDENSE` matrix
19: Output Parameter:
20: . B - the inner matrix
22: Level: intermediate
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;
31: PetscFunctionBegin;
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: }
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;
49: PetscFunctionBegin;
50: PetscCall(MatCopy(Amat->A, Bmat->A, s));
51: PetscFunctionReturn(PETSC_SUCCESS);
52: }
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;
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: }
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;
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: }
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;
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: }
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;
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: }
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;
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: }
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;
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: }
185: static PetscErrorCode MatDenseGetLDA_MPIDense(Mat A, PetscInt *lda)
186: {
187: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
189: PetscFunctionBegin;
190: PetscCall(MatDenseGetLDA(a->A, lda));
191: PetscFunctionReturn(PETSC_SUCCESS);
192: }
194: static PetscErrorCode MatDenseSetLDA_MPIDense(Mat A, PetscInt lda)
195: {
196: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
197: MatType mtype = MATSEQDENSE;
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: }
221: static PetscErrorCode MatDenseGetArray_MPIDense(Mat A, PetscScalar **array)
222: {
223: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
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: }
231: static PetscErrorCode MatDenseGetArrayRead_MPIDense(Mat A, PetscScalar **array)
232: {
233: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
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: }
241: static PetscErrorCode MatDenseGetArrayWrite_MPIDense(Mat A, PetscScalar **array)
242: {
243: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
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: }
251: static PetscErrorCode MatDensePlaceArray_MPIDense(Mat A, const PetscScalar *array)
252: {
253: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
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: }
262: static PetscErrorCode MatDenseResetArray_MPIDense(Mat A)
263: {
264: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
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: }
273: static PetscErrorCode MatDenseReplaceArray_MPIDense(Mat A, const PetscScalar *array)
274: {
275: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
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: }
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;
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");
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 */
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! */
311: PetscCall(MatGetLocalSize(A, &nlrows, &nlcols));
312: PetscCall(MatGetOwnershipRange(A, &rstart, &rend));
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: }
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));
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));
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: }
351: static PetscErrorCode MatDenseRestoreArray_MPIDense(Mat A, PetscScalar **array)
352: {
353: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
355: PetscFunctionBegin;
356: PetscCall(MatDenseRestoreArray(a->A, array));
357: PetscFunctionReturn(PETSC_SUCCESS);
358: }
360: static PetscErrorCode MatDenseRestoreArrayRead_MPIDense(Mat A, PetscScalar **array)
361: {
362: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
364: PetscFunctionBegin;
365: PetscCall(MatDenseRestoreArrayRead(a->A, (const PetscScalar **)array));
366: PetscFunctionReturn(PETSC_SUCCESS);
367: }
369: static PetscErrorCode MatDenseRestoreArrayWrite_MPIDense(Mat A, PetscScalar **array)
370: {
371: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
373: PetscFunctionBegin;
374: PetscCall(MatDenseRestoreArrayWrite(a->A, array));
375: PetscFunctionReturn(PETSC_SUCCESS);
376: }
378: static PetscErrorCode MatAssemblyBegin_MPIDense(Mat mat, MatAssemblyType mode)
379: {
380: Mat_MPIDense *mdn = (Mat_MPIDense *)mat->data;
381: PetscInt nstash, reallocs;
383: PetscFunctionBegin;
384: if (mdn->donotstash || mat->nooffprocentries) PetscFunctionReturn(PETSC_SUCCESS);
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: }
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;
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;
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: }
421: PetscCall(MatAssemblyBegin(mdn->A, mode));
422: PetscCall(MatAssemblyEnd(mdn->A, mode));
423: PetscFunctionReturn(PETSC_SUCCESS);
424: }
426: static PetscErrorCode MatZeroEntries_MPIDense(Mat A)
427: {
428: Mat_MPIDense *l = (Mat_MPIDense *)A->data;
430: PetscFunctionBegin;
431: PetscCall(MatZeroEntries(l->A));
432: PetscFunctionReturn(PETSC_SUCCESS);
433: }
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;
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;
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;
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: }
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);
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;
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: }
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;
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: }
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;
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: }
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;
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: }
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;
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: }
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;
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: }
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;
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: }
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: }
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: }
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: }
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: }
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;
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: }
664: static PetscErrorCode MatDestroy_MPIDense(Mat mat)
665: {
666: Mat_MPIDense *mdn = (Mat_MPIDense *)mat->data;
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));
679: PetscCall(PetscFree(mat->data));
680: PetscCall(PetscObjectChangeTypeName((PetscObject)mat, NULL));
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));
758: PetscCall(PetscObjectCompose((PetscObject)mat, "DiagonalBlock", NULL));
759: PetscFunctionReturn(PETSC_SUCCESS);
760: }
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;
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;
796: PetscCall(PetscViewerDrawGetDraw(viewer, 0, &draw));
797: PetscCall(PetscDrawIsNull(draw, &isnull));
798: if (isnull) PetscFunctionReturn(PETSC_SUCCESS);
799: }
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;
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));
818: /* Copy the matrix ... This isn't the most efficient means,
819: but it's quick for now */
820: A->insertmode = INSERT_VALUES;
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: }
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: }
844: static PetscErrorCode MatView_MPIDense(Mat mat, PetscViewer viewer)
845: {
846: PetscBool iascii, isbinary, isdraw, issocket;
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));
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: }
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];
866: PetscFunctionBegin;
867: info->block_size = 1.0;
869: PetscCall(MatGetInfo(mdn, MAT_LOCAL, info));
871: isend[0] = info->nz_used;
872: isend[1] = info->nz_allocated;
873: isend[2] = info->nz_unneeded;
874: isend[3] = info->memory;
875: isend[4] = info->mallocs;
876: if (flag == MAT_LOCAL) {
877: info->nz_used = isend[0];
878: info->nz_allocated = isend[1];
879: info->nz_unneeded = isend[2];
880: info->memory = isend[3];
881: info->mallocs = isend[4];
882: } else if (flag == MAT_GLOBAL_MAX) {
883: PetscCallMPI(MPIU_Allreduce(isend, irecv, 5, MPIU_PETSCLOGDOUBLE, MPI_MAX, PetscObjectComm((PetscObject)A)));
885: info->nz_used = irecv[0];
886: info->nz_allocated = irecv[1];
887: info->nz_unneeded = irecv[2];
888: info->memory = irecv[3];
889: info->mallocs = irecv[4];
890: } else if (flag == MAT_GLOBAL_SUM) {
891: PetscCallMPI(MPIU_Allreduce(isend, irecv, 5, MPIU_PETSCLOGDOUBLE, MPI_SUM, PetscObjectComm((PetscObject)A)));
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: }
905: static PetscErrorCode MatSetOption_MPIDense(Mat A, MatOption op, PetscBool flg)
906: {
907: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
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: }
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;
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;
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: }
998: static PetscErrorCode MatNorm_MPIDense(Mat A, NormType type, PetscReal *nrm)
999: {
1000: Mat_MPIDense *mdn = (Mat_MPIDense *)A->data;
1001: PetscInt i, j;
1002: PetscMPIInt size, iN;
1003: PetscReal sum = 0.0;
1004: const PetscScalar *av, *v;
1006: PetscFunctionBegin;
1007: PetscCall(MatDenseGetArrayRead(mdn->A, &av));
1008: v = av;
1009: PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)A), &size));
1010: if (size == 1) {
1011: PetscCall(MatNorm(mdn->A, type, nrm));
1012: } else {
1013: if (type == NORM_FROBENIUS) {
1014: for (i = 0; i < mdn->A->cmap->n * mdn->A->rmap->n; i++) {
1015: sum += PetscRealPart(PetscConj(*v) * (*v));
1016: v++;
1017: }
1018: PetscCallMPI(MPIU_Allreduce(&sum, nrm, 1, MPIU_REAL, MPIU_SUM, PetscObjectComm((PetscObject)A)));
1019: *nrm = PetscSqrtReal(*nrm);
1020: PetscCall(PetscLogFlops(2.0 * mdn->A->cmap->n * mdn->A->rmap->n));
1021: } else if (type == NORM_1) {
1022: PetscReal *tmp, *tmp2;
1023: PetscCall(PetscCalloc2(A->cmap->N, &tmp, A->cmap->N, &tmp2));
1024: *nrm = 0.0;
1025: v = av;
1026: for (j = 0; j < mdn->A->cmap->n; j++) {
1027: for (i = 0; i < mdn->A->rmap->n; i++) {
1028: tmp[j] += PetscAbsScalar(*v);
1029: v++;
1030: }
1031: }
1032: PetscCall(PetscMPIIntCast(A->cmap->N, &iN));
1033: PetscCallMPI(MPIU_Allreduce(tmp, tmp2, iN, MPIU_REAL, MPIU_SUM, PetscObjectComm((PetscObject)A)));
1034: for (j = 0; j < A->cmap->N; j++) {
1035: if (tmp2[j] > *nrm) *nrm = tmp2[j];
1036: }
1037: PetscCall(PetscFree2(tmp, tmp2));
1038: PetscCall(PetscLogFlops(A->cmap->n * A->rmap->n));
1039: } else if (type == NORM_INFINITY) { /* max row norm */
1040: PetscReal ntemp;
1041: PetscCall(MatNorm(mdn->A, type, &ntemp));
1042: PetscCallMPI(MPIU_Allreduce(&ntemp, nrm, 1, MPIU_REAL, MPIU_MAX, PetscObjectComm((PetscObject)A)));
1043: } else SETERRQ(PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "No support for two norm");
1044: }
1045: PetscCall(MatDenseRestoreArrayRead(mdn->A, &av));
1046: PetscFunctionReturn(PETSC_SUCCESS);
1047: }
1049: static PetscErrorCode MatTranspose_MPIDense(Mat A, MatReuse reuse, Mat *matout)
1050: {
1051: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
1052: Mat B;
1053: PetscInt M = A->rmap->N, N = A->cmap->N, m, n, *rwork, rstart = A->rmap->rstart;
1054: PetscInt j, i, lda;
1055: PetscScalar *v;
1057: PetscFunctionBegin;
1058: if (reuse == MAT_REUSE_MATRIX) PetscCall(MatTransposeCheckNonzeroState_Private(A, *matout));
1059: if (reuse == MAT_INITIAL_MATRIX || reuse == MAT_INPLACE_MATRIX) {
1060: PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &B));
1061: PetscCall(MatSetSizes(B, A->cmap->n, A->rmap->n, N, M));
1062: PetscCall(MatSetType(B, ((PetscObject)A)->type_name));
1063: PetscCall(MatMPIDenseSetPreallocation(B, NULL));
1064: } else B = *matout;
1066: m = a->A->rmap->n;
1067: n = a->A->cmap->n;
1068: PetscCall(MatDenseGetArrayRead(a->A, (const PetscScalar **)&v));
1069: PetscCall(MatDenseGetLDA(a->A, &lda));
1070: PetscCall(PetscMalloc1(m, &rwork));
1071: for (i = 0; i < m; i++) rwork[i] = rstart + i;
1072: for (j = 0; j < n; j++) {
1073: PetscCall(MatSetValues(B, 1, &j, m, rwork, v, INSERT_VALUES));
1074: v = PetscSafePointerPlusOffset(v, lda);
1075: }
1076: PetscCall(MatDenseRestoreArrayRead(a->A, (const PetscScalar **)&v));
1077: PetscCall(PetscFree(rwork));
1078: PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY));
1079: PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY));
1080: if (reuse == MAT_INITIAL_MATRIX || reuse == MAT_REUSE_MATRIX) {
1081: *matout = B;
1082: } else {
1083: PetscCall(MatHeaderMerge(A, &B));
1084: }
1085: PetscFunctionReturn(PETSC_SUCCESS);
1086: }
1088: static PetscErrorCode MatDuplicate_MPIDense(Mat, MatDuplicateOption, Mat *);
1089: PETSC_INTERN PetscErrorCode MatScale_MPIDense(Mat, PetscScalar);
1091: static PetscErrorCode MatSetUp_MPIDense(Mat A)
1092: {
1093: PetscFunctionBegin;
1094: PetscCall(PetscLayoutSetUp(A->rmap));
1095: PetscCall(PetscLayoutSetUp(A->cmap));
1096: if (!A->preallocated) PetscCall(MatMPIDenseSetPreallocation(A, NULL));
1097: PetscFunctionReturn(PETSC_SUCCESS);
1098: }
1100: static PetscErrorCode MatAXPY_MPIDense(Mat Y, PetscScalar alpha, Mat X, MatStructure str)
1101: {
1102: Mat_MPIDense *A = (Mat_MPIDense *)Y->data, *B = (Mat_MPIDense *)X->data;
1104: PetscFunctionBegin;
1105: PetscCall(MatAXPY(A->A, alpha, B->A, str));
1106: PetscFunctionReturn(PETSC_SUCCESS);
1107: }
1109: static PetscErrorCode MatConjugate_MPIDense(Mat mat)
1110: {
1111: Mat_MPIDense *a = (Mat_MPIDense *)mat->data;
1113: PetscFunctionBegin;
1114: PetscCall(MatConjugate(a->A));
1115: PetscFunctionReturn(PETSC_SUCCESS);
1116: }
1118: static PetscErrorCode MatRealPart_MPIDense(Mat A)
1119: {
1120: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
1122: PetscFunctionBegin;
1123: PetscCall(MatRealPart(a->A));
1124: PetscFunctionReturn(PETSC_SUCCESS);
1125: }
1127: static PetscErrorCode MatImaginaryPart_MPIDense(Mat A)
1128: {
1129: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
1131: PetscFunctionBegin;
1132: PetscCall(MatImaginaryPart(a->A));
1133: PetscFunctionReturn(PETSC_SUCCESS);
1134: }
1136: static PetscErrorCode MatGetColumnVector_MPIDense(Mat A, Vec v, PetscInt col)
1137: {
1138: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
1140: PetscFunctionBegin;
1141: PetscCheck(a->A, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Missing local matrix");
1142: PetscCheck(a->A->ops->getcolumnvector, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Missing get column operation");
1143: PetscCall((*a->A->ops->getcolumnvector)(a->A, v, col));
1144: PetscFunctionReturn(PETSC_SUCCESS);
1145: }
1147: PETSC_INTERN PetscErrorCode MatGetColumnReductions_SeqDense(Mat, PetscInt, PetscReal *);
1149: static PetscErrorCode MatGetColumnReductions_MPIDense(Mat A, PetscInt type, PetscReal *reductions)
1150: {
1151: PetscInt i, m, n;
1152: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
1153: PetscReal *work;
1154: PetscMPIInt in;
1156: PetscFunctionBegin;
1157: PetscCall(MatGetSize(A, &m, &n));
1158: PetscCall(PetscMalloc1(n, &work));
1159: if (type == REDUCTION_MEAN_REALPART) {
1160: PetscCall(MatGetColumnReductions_SeqDense(a->A, (PetscInt)REDUCTION_SUM_REALPART, work));
1161: } else if (type == REDUCTION_MEAN_IMAGINARYPART) {
1162: PetscCall(MatGetColumnReductions_SeqDense(a->A, (PetscInt)REDUCTION_SUM_IMAGINARYPART, work));
1163: } else {
1164: PetscCall(MatGetColumnReductions_SeqDense(a->A, type, work));
1165: }
1166: if (type == NORM_2) {
1167: for (i = 0; i < n; i++) work[i] *= work[i];
1168: }
1169: PetscCall(PetscMPIIntCast(n, &in));
1170: if (type == NORM_INFINITY) {
1171: PetscCallMPI(MPIU_Allreduce(work, reductions, in, MPIU_REAL, MPIU_MAX, A->hdr.comm));
1172: } else {
1173: PetscCallMPI(MPIU_Allreduce(work, reductions, in, MPIU_REAL, MPIU_SUM, A->hdr.comm));
1174: }
1175: PetscCall(PetscFree(work));
1176: if (type == NORM_2) {
1177: for (i = 0; i < n; i++) reductions[i] = PetscSqrtReal(reductions[i]);
1178: } else if (type == REDUCTION_MEAN_REALPART || type == REDUCTION_MEAN_IMAGINARYPART) {
1179: for (i = 0; i < n; i++) reductions[i] /= m;
1180: }
1181: PetscFunctionReturn(PETSC_SUCCESS);
1182: }
1184: static PetscErrorCode MatSetRandom_MPIDense(Mat x, PetscRandom rctx)
1185: {
1186: Mat_MPIDense *d = (Mat_MPIDense *)x->data;
1188: PetscFunctionBegin;
1189: PetscCall(MatSetRandom(d->A, rctx));
1190: #if defined(PETSC_HAVE_DEVICE)
1191: x->offloadmask = d->A->offloadmask;
1192: #endif
1193: PetscFunctionReturn(PETSC_SUCCESS);
1194: }
1196: static PetscErrorCode MatMissingDiagonal_MPIDense(Mat A, PetscBool *missing, PetscInt *d)
1197: {
1198: PetscFunctionBegin;
1199: *missing = PETSC_FALSE;
1200: PetscFunctionReturn(PETSC_SUCCESS);
1201: }
1203: static PetscErrorCode MatMatTransposeMultSymbolic_MPIDense_MPIDense(Mat, Mat, PetscReal, Mat);
1204: static PetscErrorCode MatMatTransposeMultNumeric_MPIDense_MPIDense(Mat, Mat, Mat);
1205: static PetscErrorCode MatTransposeMatMultSymbolic_MPIDense_MPIDense(Mat, Mat, PetscReal, Mat);
1206: static PetscErrorCode MatTransposeMatMultNumeric_MPIDense_MPIDense(Mat, Mat, Mat);
1207: static PetscErrorCode MatEqual_MPIDense(Mat, Mat, PetscBool *);
1208: static PetscErrorCode MatLoad_MPIDense(Mat, PetscViewer);
1209: static PetscErrorCode MatProductSetFromOptions_MPIDense(Mat);
1211: static struct _MatOps MatOps_Values = {MatSetValues_MPIDense,
1212: MatGetRow_MPIDense,
1213: MatRestoreRow_MPIDense,
1214: MatMult_MPIDense,
1215: /* 4*/ MatMultAdd_MPIDense,
1216: MatMultTranspose_MPIDense,
1217: MatMultTransposeAdd_MPIDense,
1218: NULL,
1219: NULL,
1220: NULL,
1221: /* 10*/ NULL,
1222: NULL,
1223: NULL,
1224: NULL,
1225: MatTranspose_MPIDense,
1226: /* 15*/ MatGetInfo_MPIDense,
1227: MatEqual_MPIDense,
1228: MatGetDiagonal_MPIDense,
1229: MatDiagonalScale_MPIDense,
1230: MatNorm_MPIDense,
1231: /* 20*/ MatAssemblyBegin_MPIDense,
1232: MatAssemblyEnd_MPIDense,
1233: MatSetOption_MPIDense,
1234: MatZeroEntries_MPIDense,
1235: /* 24*/ MatZeroRows_MPIDense,
1236: NULL,
1237: NULL,
1238: NULL,
1239: NULL,
1240: /* 29*/ MatSetUp_MPIDense,
1241: NULL,
1242: NULL,
1243: MatGetDiagonalBlock_MPIDense,
1244: NULL,
1245: /* 34*/ MatDuplicate_MPIDense,
1246: NULL,
1247: NULL,
1248: NULL,
1249: NULL,
1250: /* 39*/ MatAXPY_MPIDense,
1251: MatCreateSubMatrices_MPIDense,
1252: NULL,
1253: MatGetValues_MPIDense,
1254: MatCopy_MPIDense,
1255: /* 44*/ NULL,
1256: MatScale_MPIDense,
1257: MatShift_MPIDense,
1258: NULL,
1259: NULL,
1260: /* 49*/ MatSetRandom_MPIDense,
1261: NULL,
1262: NULL,
1263: NULL,
1264: NULL,
1265: /* 54*/ NULL,
1266: NULL,
1267: NULL,
1268: NULL,
1269: NULL,
1270: /* 59*/ MatCreateSubMatrix_MPIDense,
1271: MatDestroy_MPIDense,
1272: MatView_MPIDense,
1273: NULL,
1274: NULL,
1275: /* 64*/ NULL,
1276: NULL,
1277: NULL,
1278: NULL,
1279: NULL,
1280: /* 69*/ NULL,
1281: NULL,
1282: NULL,
1283: NULL,
1284: NULL,
1285: /* 74*/ NULL,
1286: NULL,
1287: NULL,
1288: NULL,
1289: NULL,
1290: /* 79*/ NULL,
1291: NULL,
1292: NULL,
1293: NULL,
1294: /* 83*/ MatLoad_MPIDense,
1295: NULL,
1296: NULL,
1297: NULL,
1298: NULL,
1299: NULL,
1300: /* 89*/ NULL,
1301: NULL,
1302: NULL,
1303: NULL,
1304: NULL,
1305: /* 94*/ NULL,
1306: NULL,
1307: MatMatTransposeMultSymbolic_MPIDense_MPIDense,
1308: MatMatTransposeMultNumeric_MPIDense_MPIDense,
1309: NULL,
1310: /* 99*/ MatProductSetFromOptions_MPIDense,
1311: NULL,
1312: NULL,
1313: MatConjugate_MPIDense,
1314: NULL,
1315: /*104*/ NULL,
1316: MatRealPart_MPIDense,
1317: MatImaginaryPart_MPIDense,
1318: NULL,
1319: NULL,
1320: /*109*/ NULL,
1321: NULL,
1322: NULL,
1323: MatGetColumnVector_MPIDense,
1324: MatMissingDiagonal_MPIDense,
1325: /*114*/ NULL,
1326: NULL,
1327: NULL,
1328: NULL,
1329: NULL,
1330: /*119*/ NULL,
1331: NULL,
1332: MatMultHermitianTranspose_MPIDense,
1333: MatMultHermitianTransposeAdd_MPIDense,
1334: NULL,
1335: /*124*/ NULL,
1336: MatGetColumnReductions_MPIDense,
1337: NULL,
1338: NULL,
1339: NULL,
1340: /*129*/ NULL,
1341: NULL,
1342: MatTransposeMatMultSymbolic_MPIDense_MPIDense,
1343: MatTransposeMatMultNumeric_MPIDense_MPIDense,
1344: NULL,
1345: /*134*/ NULL,
1346: NULL,
1347: NULL,
1348: NULL,
1349: NULL,
1350: /*139*/ NULL,
1351: NULL,
1352: NULL,
1353: NULL,
1354: NULL,
1355: MatCreateMPIMatConcatenateSeqMat_MPIDense,
1356: /*145*/ NULL,
1357: NULL,
1358: NULL,
1359: NULL,
1360: NULL,
1361: /*150*/ NULL,
1362: NULL,
1363: NULL,
1364: NULL,
1365: NULL,
1366: /*155*/ NULL,
1367: NULL};
1369: static PetscErrorCode MatMPIDenseSetPreallocation_MPIDense(Mat mat, PetscScalar *data)
1370: {
1371: Mat_MPIDense *a = (Mat_MPIDense *)mat->data;
1372: MatType mtype = MATSEQDENSE;
1374: PetscFunctionBegin;
1375: PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)mat), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first");
1376: PetscCall(PetscLayoutSetUp(mat->rmap));
1377: PetscCall(PetscLayoutSetUp(mat->cmap));
1378: if (!a->A) {
1379: PetscCall(MatCreate(PETSC_COMM_SELF, &a->A));
1380: PetscCall(MatSetSizes(a->A, mat->rmap->n, mat->cmap->N, mat->rmap->n, mat->cmap->N));
1381: }
1382: #if defined(PETSC_HAVE_CUDA)
1383: PetscBool iscuda;
1384: PetscCall(PetscObjectTypeCompare((PetscObject)mat, MATMPIDENSECUDA, &iscuda));
1385: if (iscuda) mtype = MATSEQDENSECUDA;
1386: #endif
1387: #if defined(PETSC_HAVE_HIP)
1388: PetscBool iship;
1389: PetscCall(PetscObjectTypeCompare((PetscObject)mat, MATMPIDENSEHIP, &iship));
1390: if (iship) mtype = MATSEQDENSEHIP;
1391: #endif
1392: PetscCall(MatSetType(a->A, mtype));
1393: PetscCall(MatSeqDenseSetPreallocation(a->A, data));
1394: #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP)
1395: mat->offloadmask = a->A->offloadmask;
1396: #endif
1397: mat->preallocated = PETSC_TRUE;
1398: mat->assembled = PETSC_TRUE;
1399: PetscFunctionReturn(PETSC_SUCCESS);
1400: }
1402: PETSC_INTERN PetscErrorCode MatConvert_MPIAIJ_MPIDense(Mat A, MatType newtype, MatReuse reuse, Mat *newmat)
1403: {
1404: Mat B, C;
1406: PetscFunctionBegin;
1407: PetscCall(MatMPIAIJGetLocalMat(A, MAT_INITIAL_MATRIX, &C));
1408: PetscCall(MatConvert_SeqAIJ_SeqDense(C, MATSEQDENSE, MAT_INITIAL_MATRIX, &B));
1409: PetscCall(MatDestroy(&C));
1410: if (reuse == MAT_REUSE_MATRIX) {
1411: C = *newmat;
1412: } else C = NULL;
1413: PetscCall(MatCreateMPIMatConcatenateSeqMat(PetscObjectComm((PetscObject)A), B, A->cmap->n, !C ? MAT_INITIAL_MATRIX : MAT_REUSE_MATRIX, &C));
1414: PetscCall(MatDestroy(&B));
1415: if (reuse == MAT_INPLACE_MATRIX) {
1416: PetscCall(MatHeaderReplace(A, &C));
1417: } else if (reuse == MAT_INITIAL_MATRIX) *newmat = C;
1418: PetscFunctionReturn(PETSC_SUCCESS);
1419: }
1421: static PetscErrorCode MatConvert_MPIDense_MPIAIJ(Mat A, MatType newtype, MatReuse reuse, Mat *newmat)
1422: {
1423: Mat B, C;
1425: PetscFunctionBegin;
1426: PetscCall(MatDenseGetLocalMatrix(A, &C));
1427: PetscCall(MatConvert_SeqDense_SeqAIJ(C, MATSEQAIJ, MAT_INITIAL_MATRIX, &B));
1428: if (reuse == MAT_REUSE_MATRIX) {
1429: C = *newmat;
1430: } else C = NULL;
1431: PetscCall(MatCreateMPIMatConcatenateSeqMat(PetscObjectComm((PetscObject)A), B, A->cmap->n, !C ? MAT_INITIAL_MATRIX : MAT_REUSE_MATRIX, &C));
1432: PetscCall(MatDestroy(&B));
1433: if (reuse == MAT_INPLACE_MATRIX) {
1434: PetscCall(MatHeaderReplace(A, &C));
1435: } else if (reuse == MAT_INITIAL_MATRIX) *newmat = C;
1436: PetscFunctionReturn(PETSC_SUCCESS);
1437: }
1439: #if defined(PETSC_HAVE_ELEMENTAL)
1440: PETSC_INTERN PetscErrorCode MatConvert_MPIDense_Elemental(Mat A, MatType newtype, MatReuse reuse, Mat *newmat)
1441: {
1442: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
1443: Mat mat_elemental;
1444: PetscScalar *v;
1445: PetscInt m = A->rmap->n, N = A->cmap->N, rstart = A->rmap->rstart, i, *rows, *cols, lda;
1447: PetscFunctionBegin;
1448: if (reuse == MAT_REUSE_MATRIX) {
1449: mat_elemental = *newmat;
1450: PetscCall(MatZeroEntries(*newmat));
1451: } else {
1452: PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &mat_elemental));
1453: PetscCall(MatSetSizes(mat_elemental, PETSC_DECIDE, PETSC_DECIDE, A->rmap->N, A->cmap->N));
1454: PetscCall(MatSetType(mat_elemental, MATELEMENTAL));
1455: PetscCall(MatSetUp(mat_elemental));
1456: PetscCall(MatSetOption(mat_elemental, MAT_ROW_ORIENTED, PETSC_FALSE));
1457: }
1459: PetscCall(PetscMalloc2(m, &rows, N, &cols));
1460: for (i = 0; i < N; i++) cols[i] = i;
1461: for (i = 0; i < m; i++) rows[i] = rstart + i;
1463: /* PETSc-Elemental interface uses axpy for setting off-processor entries, only ADD_VALUES is allowed */
1464: PetscCall(MatDenseGetArray(A, &v));
1465: PetscCall(MatDenseGetLDA(a->A, &lda));
1466: if (lda == m) PetscCall(MatSetValues(mat_elemental, m, rows, N, cols, v, ADD_VALUES));
1467: else {
1468: for (i = 0; i < N; i++) PetscCall(MatSetValues(mat_elemental, m, rows, 1, &i, v + lda * i, ADD_VALUES));
1469: }
1470: PetscCall(MatAssemblyBegin(mat_elemental, MAT_FINAL_ASSEMBLY));
1471: PetscCall(MatAssemblyEnd(mat_elemental, MAT_FINAL_ASSEMBLY));
1472: PetscCall(MatDenseRestoreArray(A, &v));
1473: PetscCall(PetscFree2(rows, cols));
1475: if (reuse == MAT_INPLACE_MATRIX) {
1476: PetscCall(MatHeaderReplace(A, &mat_elemental));
1477: } else {
1478: *newmat = mat_elemental;
1479: }
1480: PetscFunctionReturn(PETSC_SUCCESS);
1481: }
1482: #endif
1484: static PetscErrorCode MatDenseGetColumn_MPIDense(Mat A, PetscInt col, PetscScalar **vals)
1485: {
1486: Mat_MPIDense *mat = (Mat_MPIDense *)A->data;
1488: PetscFunctionBegin;
1489: PetscCall(MatDenseGetColumn(mat->A, col, vals));
1490: PetscFunctionReturn(PETSC_SUCCESS);
1491: }
1493: static PetscErrorCode MatDenseRestoreColumn_MPIDense(Mat A, PetscScalar **vals)
1494: {
1495: Mat_MPIDense *mat = (Mat_MPIDense *)A->data;
1497: PetscFunctionBegin;
1498: PetscCall(MatDenseRestoreColumn(mat->A, vals));
1499: PetscFunctionReturn(PETSC_SUCCESS);
1500: }
1502: PetscErrorCode MatCreateMPIMatConcatenateSeqMat_MPIDense(MPI_Comm comm, Mat inmat, PetscInt n, MatReuse scall, Mat *outmat)
1503: {
1504: Mat_MPIDense *mat;
1505: PetscInt m, nloc, N;
1507: PetscFunctionBegin;
1508: PetscCall(MatGetSize(inmat, &m, &N));
1509: PetscCall(MatGetLocalSize(inmat, NULL, &nloc));
1510: if (scall == MAT_INITIAL_MATRIX) { /* symbolic phase */
1511: PetscInt sum;
1513: if (n == PETSC_DECIDE) PetscCall(PetscSplitOwnership(comm, &n, &N));
1514: /* Check sum(n) = N */
1515: PetscCallMPI(MPIU_Allreduce(&n, &sum, 1, MPIU_INT, MPI_SUM, comm));
1516: PetscCheck(sum == N, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "Sum of local columns %" PetscInt_FMT " != global columns %" PetscInt_FMT, sum, N);
1518: PetscCall(MatCreateDense(comm, m, n, PETSC_DETERMINE, N, NULL, outmat));
1519: PetscCall(MatSetOption(*outmat, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE));
1520: }
1522: /* numeric phase */
1523: mat = (Mat_MPIDense *)(*outmat)->data;
1524: PetscCall(MatCopy(inmat, mat->A, SAME_NONZERO_PATTERN));
1525: PetscFunctionReturn(PETSC_SUCCESS);
1526: }
1528: PetscErrorCode MatDenseGetColumnVec_MPIDense(Mat A, PetscInt col, Vec *v)
1529: {
1530: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
1531: PetscInt lda;
1533: PetscFunctionBegin;
1534: PetscCheck(!a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first");
1535: PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first");
1536: if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec));
1537: a->vecinuse = col + 1;
1538: PetscCall(MatDenseGetLDA(a->A, &lda));
1539: PetscCall(MatDenseGetArray(a->A, (PetscScalar **)&a->ptrinuse));
1540: PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)lda)));
1541: *v = a->cvec;
1542: PetscFunctionReturn(PETSC_SUCCESS);
1543: }
1545: PetscErrorCode MatDenseRestoreColumnVec_MPIDense(Mat A, PetscInt col, Vec *v)
1546: {
1547: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
1549: PetscFunctionBegin;
1550: PetscCheck(a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first");
1551: PetscCheck(a->cvec, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column vector");
1552: VecCheckAssembled(a->cvec);
1553: a->vecinuse = 0;
1554: PetscCall(MatDenseRestoreArray(a->A, (PetscScalar **)&a->ptrinuse));
1555: PetscCall(VecResetArray(a->cvec));
1556: if (v) *v = NULL;
1557: PetscFunctionReturn(PETSC_SUCCESS);
1558: }
1560: PetscErrorCode MatDenseGetColumnVecRead_MPIDense(Mat A, PetscInt col, Vec *v)
1561: {
1562: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
1563: PetscInt lda;
1565: PetscFunctionBegin;
1566: PetscCheck(!a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first");
1567: PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first");
1568: if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec));
1569: a->vecinuse = col + 1;
1570: PetscCall(MatDenseGetLDA(a->A, &lda));
1571: PetscCall(MatDenseGetArrayRead(a->A, &a->ptrinuse));
1572: PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)lda)));
1573: PetscCall(VecLockReadPush(a->cvec));
1574: *v = a->cvec;
1575: PetscFunctionReturn(PETSC_SUCCESS);
1576: }
1578: PetscErrorCode MatDenseRestoreColumnVecRead_MPIDense(Mat A, PetscInt col, Vec *v)
1579: {
1580: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
1582: PetscFunctionBegin;
1583: PetscCheck(a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first");
1584: PetscCheck(a->cvec, PetscObjectComm((PetscObject)A), PETSC_ERR_PLIB, "Missing internal column vector");
1585: VecCheckAssembled(a->cvec);
1586: a->vecinuse = 0;
1587: PetscCall(MatDenseRestoreArrayRead(a->A, &a->ptrinuse));
1588: PetscCall(VecLockReadPop(a->cvec));
1589: PetscCall(VecResetArray(a->cvec));
1590: if (v) *v = NULL;
1591: PetscFunctionReturn(PETSC_SUCCESS);
1592: }
1594: PetscErrorCode MatDenseGetColumnVecWrite_MPIDense(Mat A, PetscInt col, Vec *v)
1595: {
1596: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
1597: PetscInt lda;
1599: PetscFunctionBegin;
1600: PetscCheck(!a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first");
1601: PetscCheck(!a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first");
1602: if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec));
1603: a->vecinuse = col + 1;
1604: PetscCall(MatDenseGetLDA(a->A, &lda));
1605: PetscCall(MatDenseGetArrayWrite(a->A, (PetscScalar **)&a->ptrinuse));
1606: PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)lda)));
1607: *v = a->cvec;
1608: PetscFunctionReturn(PETSC_SUCCESS);
1609: }
1611: PetscErrorCode MatDenseRestoreColumnVecWrite_MPIDense(Mat A, PetscInt col, Vec *v)
1612: {
1613: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
1615: PetscFunctionBegin;
1616: PetscCheck(a->vecinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first");
1617: PetscCheck(a->cvec, PetscObjectComm((PetscObject)A), PETSC_ERR_PLIB, "Missing internal column vector");
1618: VecCheckAssembled(a->cvec);
1619: a->vecinuse = 0;
1620: PetscCall(MatDenseRestoreArrayWrite(a->A, (PetscScalar **)&a->ptrinuse));
1621: PetscCall(VecResetArray(a->cvec));
1622: if (v) *v = NULL;
1623: PetscFunctionReturn(PETSC_SUCCESS);
1624: }
1626: static PetscErrorCode MatDenseGetSubMatrix_MPIDense(Mat A, PetscInt rbegin, PetscInt rend, PetscInt cbegin, PetscInt cend, Mat *v)
1627: {
1628: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
1629: Mat_MPIDense *c;
1630: MPI_Comm comm;
1631: PetscInt pbegin, pend;
1633: PetscFunctionBegin;
1634: PetscCall(PetscObjectGetComm((PetscObject)A, &comm));
1635: PetscCheck(!a->vecinuse, comm, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first");
1636: PetscCheck(!a->matinuse, comm, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first");
1637: pbegin = PetscMax(0, PetscMin(A->rmap->rend, rbegin) - A->rmap->rstart);
1638: pend = PetscMin(A->rmap->n, PetscMax(0, rend - A->rmap->rstart));
1639: if (!a->cmat) {
1640: PetscCall(MatCreate(comm, &a->cmat));
1641: PetscCall(MatSetType(a->cmat, ((PetscObject)A)->type_name));
1642: if (rend - rbegin == A->rmap->N) PetscCall(PetscLayoutReference(A->rmap, &a->cmat->rmap));
1643: else {
1644: PetscCall(PetscLayoutSetLocalSize(a->cmat->rmap, pend - pbegin));
1645: PetscCall(PetscLayoutSetSize(a->cmat->rmap, rend - rbegin));
1646: PetscCall(PetscLayoutSetUp(a->cmat->rmap));
1647: }
1648: PetscCall(PetscLayoutSetSize(a->cmat->cmap, cend - cbegin));
1649: PetscCall(PetscLayoutSetUp(a->cmat->cmap));
1650: } else {
1651: PetscBool same = (PetscBool)(rend - rbegin == a->cmat->rmap->N);
1652: if (same && a->cmat->rmap->N != A->rmap->N) {
1653: same = (PetscBool)(pend - pbegin == a->cmat->rmap->n);
1654: PetscCallMPI(MPIU_Allreduce(MPI_IN_PLACE, &same, 1, MPIU_BOOL, MPI_LAND, PetscObjectComm((PetscObject)A)));
1655: }
1656: if (!same) {
1657: PetscCall(PetscLayoutDestroy(&a->cmat->rmap));
1658: PetscCall(PetscLayoutCreate(comm, &a->cmat->rmap));
1659: PetscCall(PetscLayoutSetLocalSize(a->cmat->rmap, pend - pbegin));
1660: PetscCall(PetscLayoutSetSize(a->cmat->rmap, rend - rbegin));
1661: PetscCall(PetscLayoutSetUp(a->cmat->rmap));
1662: }
1663: if (cend - cbegin != a->cmat->cmap->N) {
1664: PetscCall(PetscLayoutDestroy(&a->cmat->cmap));
1665: PetscCall(PetscLayoutCreate(comm, &a->cmat->cmap));
1666: PetscCall(PetscLayoutSetSize(a->cmat->cmap, cend - cbegin));
1667: PetscCall(PetscLayoutSetUp(a->cmat->cmap));
1668: }
1669: }
1670: c = (Mat_MPIDense *)a->cmat->data;
1671: PetscCheck(!c->A, comm, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first");
1672: PetscCall(MatDenseGetSubMatrix(a->A, pbegin, pend, cbegin, cend, &c->A));
1674: a->cmat->preallocated = PETSC_TRUE;
1675: a->cmat->assembled = PETSC_TRUE;
1676: #if defined(PETSC_HAVE_DEVICE)
1677: a->cmat->offloadmask = c->A->offloadmask;
1678: #endif
1679: a->matinuse = cbegin + 1;
1680: *v = a->cmat;
1681: PetscFunctionReturn(PETSC_SUCCESS);
1682: }
1684: static PetscErrorCode MatDenseRestoreSubMatrix_MPIDense(Mat A, Mat *v)
1685: {
1686: Mat_MPIDense *a = (Mat_MPIDense *)A->data;
1687: Mat_MPIDense *c;
1689: PetscFunctionBegin;
1690: PetscCheck(a->matinuse, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Need to call MatDenseGetSubMatrix() first");
1691: PetscCheck(a->cmat, PetscObjectComm((PetscObject)A), PETSC_ERR_PLIB, "Missing internal matrix");
1692: PetscCheck(*v == a->cmat, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Not the matrix obtained from MatDenseGetSubMatrix()");
1693: a->matinuse = 0;
1694: c = (Mat_MPIDense *)a->cmat->data;
1695: PetscCall(MatDenseRestoreSubMatrix(a->A, &c->A));
1696: if (v) *v = NULL;
1697: #if defined(PETSC_HAVE_DEVICE)
1698: A->offloadmask = a->A->offloadmask;
1699: #endif
1700: PetscFunctionReturn(PETSC_SUCCESS);
1701: }
1703: /*MC
1704: MATMPIDENSE - MATMPIDENSE = "mpidense" - A matrix type to be used for distributed dense matrices.
1706: Options Database Key:
1707: . -mat_type mpidense - sets the matrix type to `MATMPIDENSE` during a call to `MatSetFromOptions()`
1709: Level: beginner
1711: .seealso: [](ch_matrices), `Mat`, `MatCreateDense()`, `MATSEQDENSE`, `MATDENSE`
1712: M*/
1713: PetscErrorCode MatCreate_MPIDense(Mat mat)
1714: {
1715: Mat_MPIDense *a;
1717: PetscFunctionBegin;
1718: PetscCall(PetscNew(&a));
1719: mat->data = (void *)a;
1720: mat->ops[0] = MatOps_Values;
1722: mat->insertmode = NOT_SET_VALUES;
1724: /* build cache for off array entries formed */
1725: a->donotstash = PETSC_FALSE;
1727: PetscCall(MatStashCreate_Private(PetscObjectComm((PetscObject)mat), 1, &mat->stash));
1729: /* stuff used for matrix vector multiply */
1730: a->lvec = NULL;
1731: a->Mvctx = NULL;
1732: a->roworiented = PETSC_TRUE;
1734: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetLDA_C", MatDenseGetLDA_MPIDense));
1735: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseSetLDA_C", MatDenseSetLDA_MPIDense));
1736: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArray_C", MatDenseGetArray_MPIDense));
1737: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArray_C", MatDenseRestoreArray_MPIDense));
1738: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArrayRead_C", MatDenseGetArrayRead_MPIDense));
1739: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArrayRead_C", MatDenseRestoreArrayRead_MPIDense));
1740: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArrayWrite_C", MatDenseGetArrayWrite_MPIDense));
1741: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArrayWrite_C", MatDenseRestoreArrayWrite_MPIDense));
1742: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDensePlaceArray_C", MatDensePlaceArray_MPIDense));
1743: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseResetArray_C", MatDenseResetArray_MPIDense));
1744: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseReplaceArray_C", MatDenseReplaceArray_MPIDense));
1745: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVec_C", MatDenseGetColumnVec_MPIDense));
1746: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVec_C", MatDenseRestoreColumnVec_MPIDense));
1747: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVecRead_C", MatDenseGetColumnVecRead_MPIDense));
1748: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVecRead_C", MatDenseRestoreColumnVecRead_MPIDense));
1749: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVecWrite_C", MatDenseGetColumnVecWrite_MPIDense));
1750: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVecWrite_C", MatDenseRestoreColumnVecWrite_MPIDense));
1751: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetSubMatrix_C", MatDenseGetSubMatrix_MPIDense));
1752: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreSubMatrix_C", MatDenseRestoreSubMatrix_MPIDense));
1753: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpiaij_mpidense_C", MatConvert_MPIAIJ_MPIDense));
1754: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_mpiaij_C", MatConvert_MPIDense_MPIAIJ));
1755: #if defined(PETSC_HAVE_ELEMENTAL)
1756: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_elemental_C", MatConvert_MPIDense_Elemental));
1757: #endif
1758: #if defined(PETSC_HAVE_SCALAPACK)
1759: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_scalapack_C", MatConvert_Dense_ScaLAPACK));
1760: #endif
1761: #if defined(PETSC_HAVE_CUDA)
1762: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_mpidensecuda_C", MatConvert_MPIDense_MPIDenseCUDA));
1763: #endif
1764: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMPIDenseSetPreallocation_C", MatMPIDenseSetPreallocation_MPIDense));
1765: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaij_mpidense_C", MatProductSetFromOptions_MPIAIJ_MPIDense));
1766: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidense_mpiaij_C", MatProductSetFromOptions_MPIDense_MPIAIJ));
1767: #if defined(PETSC_HAVE_CUDA)
1768: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaijcusparse_mpidense_C", MatProductSetFromOptions_MPIAIJ_MPIDense));
1769: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidense_mpiaijcusparse_C", MatProductSetFromOptions_MPIDense_MPIAIJ));
1770: #endif
1771: #if defined(PETSC_HAVE_HIP)
1772: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpidense_mpidensehip_C", MatConvert_MPIDense_MPIDenseHIP));
1773: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpiaijhipsparse_mpidense_C", MatProductSetFromOptions_MPIAIJ_MPIDense));
1774: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_mpidense_mpiaijhipsparse_C", MatProductSetFromOptions_MPIDense_MPIAIJ));
1775: #endif
1776: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumn_C", MatDenseGetColumn_MPIDense));
1777: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumn_C", MatDenseRestoreColumn_MPIDense));
1778: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultAddColumnRange_C", MatMultAddColumnRange_MPIDense));
1779: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultHermitianTransposeColumnRange_C", MatMultHermitianTransposeColumnRange_MPIDense));
1780: PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultHermitianTransposeAddColumnRange_C", MatMultHermitianTransposeAddColumnRange_MPIDense));
1781: PetscCall(PetscObjectChangeTypeName((PetscObject)mat, MATMPIDENSE));
1782: PetscFunctionReturn(PETSC_SUCCESS);
1783: }
1785: /*MC
1786: MATDENSE - MATDENSE = "dense" - A matrix type to be used for dense matrices.
1788: This matrix type is identical to `MATSEQDENSE` when constructed with a single process communicator,
1789: and `MATMPIDENSE` otherwise.
1791: Options Database Key:
1792: . -mat_type dense - sets the matrix type to `MATDENSE` during a call to `MatSetFromOptions()`
1794: Level: beginner
1796: .seealso: [](ch_matrices), `Mat`, `MATSEQDENSE`, `MATMPIDENSE`, `MATDENSECUDA`, `MATDENSEHIP`
1797: M*/
1799: /*@
1800: MatMPIDenseSetPreallocation - Sets the array used to store the matrix entries
1802: Collective
1804: Input Parameters:
1805: + B - the matrix
1806: - data - optional location of matrix data. Set to `NULL` for PETSc
1807: to control all matrix memory allocation.
1809: Level: intermediate
1811: Notes:
1812: The dense format is fully compatible with standard Fortran
1813: storage by columns.
1815: The data input variable is intended primarily for Fortran programmers
1816: who wish to allocate their own matrix memory space. Most users should
1817: set `data` to `NULL`.
1819: .seealso: [](ch_matrices), `Mat`, `MATMPIDENSE`, `MatCreate()`, `MatCreateSeqDense()`, `MatSetValues()`
1820: @*/
1821: PetscErrorCode MatMPIDenseSetPreallocation(Mat B, PetscScalar *data)
1822: {
1823: PetscFunctionBegin;
1825: PetscTryMethod(B, "MatMPIDenseSetPreallocation_C", (Mat, PetscScalar *), (B, data));
1826: PetscFunctionReturn(PETSC_SUCCESS);
1827: }
1829: /*@
1830: MatDensePlaceArray - Allows one to replace the array in a `MATDENSE` matrix with an
1831: array provided by the user. This is useful to avoid copying an array
1832: into a matrix
1834: Not Collective
1836: Input Parameters:
1837: + mat - the matrix
1838: - array - the array in column major order
1840: Level: developer
1842: Note:
1843: You can return to the original array with a call to `MatDenseResetArray()`. The user is responsible for freeing this array; it will not be
1844: freed when the matrix is destroyed.
1846: .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArray()`, `MatDenseResetArray()`, `VecPlaceArray()`, `VecGetArray()`, `VecRestoreArray()`, `VecReplaceArray()`, `VecResetArray()`,
1847: `MatDenseReplaceArray()`
1848: @*/
1849: PetscErrorCode MatDensePlaceArray(Mat mat, const PetscScalar *array)
1850: {
1851: PetscFunctionBegin;
1853: PetscUseMethod(mat, "MatDensePlaceArray_C", (Mat, const PetscScalar *), (mat, array));
1854: PetscCall(PetscObjectStateIncrease((PetscObject)mat));
1855: #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP)
1856: mat->offloadmask = PETSC_OFFLOAD_CPU;
1857: #endif
1858: PetscFunctionReturn(PETSC_SUCCESS);
1859: }
1861: /*@
1862: MatDenseResetArray - Resets the matrix array to that it previously had before the call to `MatDensePlaceArray()`
1864: Not Collective
1866: Input Parameter:
1867: . mat - the matrix
1869: Level: developer
1871: Note:
1872: You can only call this after a call to `MatDensePlaceArray()`
1874: .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArray()`, `MatDensePlaceArray()`, `VecPlaceArray()`, `VecGetArray()`, `VecRestoreArray()`, `VecReplaceArray()`, `VecResetArray()`
1875: @*/
1876: PetscErrorCode MatDenseResetArray(Mat mat)
1877: {
1878: PetscFunctionBegin;
1880: PetscUseMethod(mat, "MatDenseResetArray_C", (Mat), (mat));
1881: PetscCall(PetscObjectStateIncrease((PetscObject)mat));
1882: PetscFunctionReturn(PETSC_SUCCESS);
1883: }
1885: /*@
1886: MatDenseReplaceArray - Allows one to replace the array in a dense matrix with an
1887: array provided by the user. This is useful to avoid copying an array
1888: into a matrix
1890: Not Collective
1892: Input Parameters:
1893: + mat - the matrix
1894: - array - the array in column major order
1896: Level: developer
1898: Note:
1899: The memory passed in MUST be obtained with `PetscMalloc()` and CANNOT be
1900: freed by the user. It will be freed when the matrix is destroyed.
1902: .seealso: [](ch_matrices), `Mat`, `MatDensePlaceArray()`, `MatDenseGetArray()`, `VecReplaceArray()`
1903: @*/
1904: PetscErrorCode MatDenseReplaceArray(Mat mat, const PetscScalar *array)
1905: {
1906: PetscFunctionBegin;
1908: PetscUseMethod(mat, "MatDenseReplaceArray_C", (Mat, const PetscScalar *), (mat, array));
1909: PetscCall(PetscObjectStateIncrease((PetscObject)mat));
1910: #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP)
1911: mat->offloadmask = PETSC_OFFLOAD_CPU;
1912: #endif
1913: PetscFunctionReturn(PETSC_SUCCESS);
1914: }
1916: /*@
1917: MatCreateDense - Creates a matrix in `MATDENSE` format.
1919: Collective
1921: Input Parameters:
1922: + comm - MPI communicator
1923: . m - number of local rows (or `PETSC_DECIDE` to have calculated if `M` is given)
1924: . n - number of local columns (or `PETSC_DECIDE` to have calculated if `N` is given)
1925: . M - number of global rows (or `PETSC_DECIDE` to have calculated if `m` is given)
1926: . N - number of global columns (or `PETSC_DECIDE` to have calculated if `n` is given)
1927: - data - optional location of matrix data. Set data to `NULL` (`PETSC_NULL_SCALAR` for Fortran users) for PETSc
1928: to control all matrix memory allocation.
1930: Output Parameter:
1931: . A - the matrix
1933: Level: intermediate
1935: Notes:
1936: The dense format is fully compatible with standard Fortran
1937: storage by columns.
1939: Although local portions of the matrix are stored in column-major
1940: order, the matrix is partitioned across MPI ranks by row.
1942: The data input variable is intended primarily for Fortran programmers
1943: who wish to allocate their own matrix memory space. Most users should
1944: set `data` to `NULL` (`PETSC_NULL_SCALAR` for Fortran users).
1946: The user MUST specify either the local or global matrix dimensions
1947: (possibly both).
1949: .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatCreate()`, `MatCreateSeqDense()`, `MatSetValues()`
1950: @*/
1951: PetscErrorCode MatCreateDense(MPI_Comm comm, PetscInt m, PetscInt n, PetscInt M, PetscInt N, PetscScalar *data, Mat *A)
1952: {
1953: PetscFunctionBegin;
1954: PetscCall(MatCreate(comm, A));
1955: PetscCall(MatSetSizes(*A, m, n, M, N));
1956: PetscCall(MatSetType(*A, MATDENSE));
1957: PetscCall(MatSeqDenseSetPreallocation(*A, data));
1958: PetscCall(MatMPIDenseSetPreallocation(*A, data));
1959: PetscFunctionReturn(PETSC_SUCCESS);
1960: }
1962: static PetscErrorCode MatDuplicate_MPIDense(Mat A, MatDuplicateOption cpvalues, Mat *newmat)
1963: {
1964: Mat mat;
1965: Mat_MPIDense *a, *oldmat = (Mat_MPIDense *)A->data;
1967: PetscFunctionBegin;
1968: *newmat = NULL;
1969: PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &mat));
1970: PetscCall(MatSetSizes(mat, A->rmap->n, A->cmap->n, A->rmap->N, A->cmap->N));
1971: PetscCall(MatSetType(mat, ((PetscObject)A)->type_name));
1972: a = (Mat_MPIDense *)mat->data;
1974: mat->factortype = A->factortype;
1975: mat->assembled = PETSC_TRUE;
1976: mat->preallocated = PETSC_TRUE;
1978: mat->insertmode = NOT_SET_VALUES;
1979: a->donotstash = oldmat->donotstash;
1981: PetscCall(PetscLayoutReference(A->rmap, &mat->rmap));
1982: PetscCall(PetscLayoutReference(A->cmap, &mat->cmap));
1984: PetscCall(MatDuplicate(oldmat->A, cpvalues, &a->A));
1986: *newmat = mat;
1987: PetscFunctionReturn(PETSC_SUCCESS);
1988: }
1990: static PetscErrorCode MatLoad_MPIDense(Mat newMat, PetscViewer viewer)
1991: {
1992: PetscBool isbinary;
1993: #if defined(PETSC_HAVE_HDF5)
1994: PetscBool ishdf5;
1995: #endif
1997: PetscFunctionBegin;
2000: /* force binary viewer to load .info file if it has not yet done so */
2001: PetscCall(PetscViewerSetUp(viewer));
2002: PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary));
2003: #if defined(PETSC_HAVE_HDF5)
2004: PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERHDF5, &ishdf5));
2005: #endif
2006: if (isbinary) {
2007: PetscCall(MatLoad_Dense_Binary(newMat, viewer));
2008: #if defined(PETSC_HAVE_HDF5)
2009: } else if (ishdf5) {
2010: PetscCall(MatLoad_Dense_HDF5(newMat, viewer));
2011: #endif
2012: } else SETERRQ(PetscObjectComm((PetscObject)newMat), PETSC_ERR_SUP, "Viewer type %s not yet supported for reading %s matrices", ((PetscObject)viewer)->type_name, ((PetscObject)newMat)->type_name);
2013: PetscFunctionReturn(PETSC_SUCCESS);
2014: }
2016: static PetscErrorCode MatEqual_MPIDense(Mat A, Mat B, PetscBool *flag)
2017: {
2018: Mat_MPIDense *matB = (Mat_MPIDense *)B->data, *matA = (Mat_MPIDense *)A->data;
2019: Mat a, b;
2021: PetscFunctionBegin;
2022: a = matA->A;
2023: b = matB->A;
2024: PetscCall(MatEqual(a, b, flag));
2025: PetscCallMPI(MPIU_Allreduce(MPI_IN_PLACE, flag, 1, MPIU_BOOL, MPI_LAND, PetscObjectComm((PetscObject)A)));
2026: PetscFunctionReturn(PETSC_SUCCESS);
2027: }
2029: static PetscErrorCode MatDestroy_MatTransMatMult_MPIDense_MPIDense(void *data)
2030: {
2031: Mat_TransMatMultDense *atb = (Mat_TransMatMultDense *)data;
2033: PetscFunctionBegin;
2034: PetscCall(PetscFree2(atb->sendbuf, atb->recvcounts));
2035: PetscCall(MatDestroy(&atb->atb));
2036: PetscCall(PetscFree(atb));
2037: PetscFunctionReturn(PETSC_SUCCESS);
2038: }
2040: static PetscErrorCode MatDestroy_MatMatTransMult_MPIDense_MPIDense(void *data)
2041: {
2042: Mat_MatTransMultDense *abt = (Mat_MatTransMultDense *)data;
2044: PetscFunctionBegin;
2045: PetscCall(PetscFree2(abt->buf[0], abt->buf[1]));
2046: PetscCall(PetscFree2(abt->recvcounts, abt->recvdispls));
2047: PetscCall(PetscFree(abt));
2048: PetscFunctionReturn(PETSC_SUCCESS);
2049: }
2051: static PetscErrorCode MatTransposeMatMultNumeric_MPIDense_MPIDense(Mat A, Mat B, Mat C)
2052: {
2053: Mat_MPIDense *a = (Mat_MPIDense *)A->data, *b = (Mat_MPIDense *)B->data, *c = (Mat_MPIDense *)C->data;
2054: Mat_TransMatMultDense *atb;
2055: MPI_Comm comm;
2056: PetscMPIInt size, *recvcounts;
2057: PetscScalar *carray, *sendbuf;
2058: const PetscScalar *atbarray;
2059: PetscInt i, cN = C->cmap->N, proc, k, j, lda;
2060: const PetscInt *ranges;
2062: PetscFunctionBegin;
2063: MatCheckProduct(C, 3);
2064: PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data empty");
2065: atb = (Mat_TransMatMultDense *)C->product->data;
2066: recvcounts = atb->recvcounts;
2067: sendbuf = atb->sendbuf;
2069: PetscCall(PetscObjectGetComm((PetscObject)A, &comm));
2070: PetscCallMPI(MPI_Comm_size(comm, &size));
2072: /* compute atbarray = aseq^T * bseq */
2073: PetscCall(MatTransposeMatMult(a->A, b->A, atb->atb ? MAT_REUSE_MATRIX : MAT_INITIAL_MATRIX, PETSC_DETERMINE, &atb->atb));
2075: PetscCall(MatGetOwnershipRanges(C, &ranges));
2077: /* arrange atbarray into sendbuf */
2078: PetscCall(MatDenseGetArrayRead(atb->atb, &atbarray));
2079: PetscCall(MatDenseGetLDA(atb->atb, &lda));
2080: for (proc = 0, k = 0; proc < size; proc++) {
2081: for (j = 0; j < cN; j++) {
2082: for (i = ranges[proc]; i < ranges[proc + 1]; i++) sendbuf[k++] = atbarray[i + j * lda];
2083: }
2084: }
2085: PetscCall(MatDenseRestoreArrayRead(atb->atb, &atbarray));
2087: /* sum all atbarray to local values of C */
2088: PetscCall(MatDenseGetArrayWrite(c->A, &carray));
2089: PetscCallMPI(MPI_Reduce_scatter(sendbuf, carray, recvcounts, MPIU_SCALAR, MPIU_SUM, comm));
2090: PetscCall(MatDenseRestoreArrayWrite(c->A, &carray));
2091: PetscCall(MatSetOption(C, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE));
2092: PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY));
2093: PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY));
2094: PetscFunctionReturn(PETSC_SUCCESS);
2095: }
2097: static PetscErrorCode MatTransposeMatMultSymbolic_MPIDense_MPIDense(Mat A, Mat B, PetscReal fill, Mat C)
2098: {
2099: MPI_Comm comm;
2100: PetscMPIInt size;
2101: PetscInt cm = A->cmap->n, cM, cN = B->cmap->N;
2102: Mat_TransMatMultDense *atb;
2103: PetscBool cisdense = PETSC_FALSE;
2104: const PetscInt *ranges;
2106: PetscFunctionBegin;
2107: MatCheckProduct(C, 4);
2108: PetscCheck(!C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data not empty");
2109: PetscCall(PetscObjectGetComm((PetscObject)A, &comm));
2110: if (A->rmap->rstart != B->rmap->rstart || A->rmap->rend != B->rmap->rend) {
2111: SETERRQ(comm, PETSC_ERR_ARG_SIZ, "Matrix local dimensions are incompatible, A (%" PetscInt_FMT ", %" PetscInt_FMT ") != B (%" PetscInt_FMT ",%" PetscInt_FMT ")", A->rmap->rstart, A->rmap->rend, B->rmap->rstart, B->rmap->rend);
2112: }
2114: /* create matrix product C */
2115: PetscCall(MatSetSizes(C, cm, B->cmap->n, A->cmap->N, B->cmap->N));
2116: #if defined(PETSC_HAVE_CUDA)
2117: PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATMPIDENSE, MATMPIDENSECUDA, ""));
2118: #endif
2119: #if defined(PETSC_HAVE_HIP)
2120: PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATMPIDENSE, MATMPIDENSEHIP, ""));
2121: #endif
2122: if (!cisdense) PetscCall(MatSetType(C, ((PetscObject)A)->type_name));
2123: PetscCall(MatSetUp(C));
2125: /* create data structure for reuse C */
2126: PetscCallMPI(MPI_Comm_size(comm, &size));
2127: PetscCall(PetscNew(&atb));
2128: cM = C->rmap->N;
2129: PetscCall(PetscMalloc2(cM * cN, &atb->sendbuf, size, &atb->recvcounts));
2130: PetscCall(MatGetOwnershipRanges(C, &ranges));
2131: for (PetscMPIInt i = 0; i < size; i++) PetscCall(PetscMPIIntCast((ranges[i + 1] - ranges[i]) * cN, &atb->recvcounts[i]));
2132: C->product->data = atb;
2133: C->product->destroy = MatDestroy_MatTransMatMult_MPIDense_MPIDense;
2134: PetscFunctionReturn(PETSC_SUCCESS);
2135: }
2137: static PetscErrorCode MatMatTransposeMultSymbolic_MPIDense_MPIDense(Mat A, Mat B, PetscReal fill, Mat C)
2138: {
2139: MPI_Comm comm;
2140: PetscMPIInt i, size;
2141: PetscInt maxRows, bufsiz;
2142: PetscMPIInt tag;
2143: PetscInt alg;
2144: Mat_MatTransMultDense *abt;
2145: Mat_Product *product = C->product;
2146: PetscBool flg;
2148: PetscFunctionBegin;
2149: MatCheckProduct(C, 4);
2150: PetscCheck(!C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data not empty");
2151: /* check local size of A and B */
2152: PetscCheck(A->cmap->n == B->cmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Matrix local column dimensions are incompatible, A (%" PetscInt_FMT ") != B (%" PetscInt_FMT ")", A->cmap->n, B->cmap->n);
2154: PetscCall(PetscStrcmp(product->alg, "allgatherv", &flg));
2155: alg = flg ? 0 : 1;
2157: /* setup matrix product C */
2158: PetscCall(MatSetSizes(C, A->rmap->n, B->rmap->n, A->rmap->N, B->rmap->N));
2159: PetscCall(MatSetType(C, MATMPIDENSE));
2160: PetscCall(MatSetUp(C));
2161: PetscCall(PetscObjectGetNewTag((PetscObject)C, &tag));
2163: /* create data structure for reuse C */
2164: PetscCall(PetscObjectGetComm((PetscObject)C, &comm));
2165: PetscCallMPI(MPI_Comm_size(comm, &size));
2166: PetscCall(PetscNew(&abt));
2167: abt->tag = tag;
2168: abt->alg = alg;
2169: switch (alg) {
2170: case 1: /* alg: "cyclic" */
2171: for (maxRows = 0, i = 0; i < size; i++) maxRows = PetscMax(maxRows, B->rmap->range[i + 1] - B->rmap->range[i]);
2172: bufsiz = A->cmap->N * maxRows;
2173: PetscCall(PetscMalloc2(bufsiz, &abt->buf[0], bufsiz, &abt->buf[1]));
2174: break;
2175: default: /* alg: "allgatherv" */
2176: PetscCall(PetscMalloc2(B->rmap->n * B->cmap->N, &abt->buf[0], B->rmap->N * B->cmap->N, &abt->buf[1]));
2177: PetscCall(PetscMalloc2(size, &abt->recvcounts, size + 1, &abt->recvdispls));
2178: for (i = 0; i <= size; i++) PetscCall(PetscMPIIntCast(B->rmap->range[i] * A->cmap->N, &abt->recvdispls[i]));
2179: for (i = 0; i < size; i++) PetscCall(PetscMPIIntCast(abt->recvdispls[i + 1] - abt->recvdispls[i], &abt->recvcounts[i]));
2180: break;
2181: }
2183: C->product->data = abt;
2184: C->product->destroy = MatDestroy_MatMatTransMult_MPIDense_MPIDense;
2185: C->ops->mattransposemultnumeric = MatMatTransposeMultNumeric_MPIDense_MPIDense;
2186: PetscFunctionReturn(PETSC_SUCCESS);
2187: }
2189: static PetscErrorCode MatMatTransposeMultNumeric_MPIDense_MPIDense_Cyclic(Mat A, Mat B, Mat C)
2190: {
2191: Mat_MPIDense *a = (Mat_MPIDense *)A->data, *b = (Mat_MPIDense *)B->data, *c = (Mat_MPIDense *)C->data;
2192: Mat_MatTransMultDense *abt;
2193: MPI_Comm comm;
2194: PetscMPIInt rank, size, sendto, recvfrom, recvisfrom;
2195: PetscScalar *sendbuf, *recvbuf = NULL, *cv;
2196: PetscInt i, cK = A->cmap->N, sendsiz, recvsiz, k, j, bn;
2197: PetscScalar _DOne = 1.0, _DZero = 0.0;
2198: const PetscScalar *av, *bv;
2199: PetscBLASInt cm, cn, ck, alda, blda = 0, clda;
2200: MPI_Request reqs[2];
2201: const PetscInt *ranges;
2203: PetscFunctionBegin;
2204: MatCheckProduct(C, 3);
2205: PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data empty");
2206: abt = (Mat_MatTransMultDense *)C->product->data;
2207: PetscCall(PetscObjectGetComm((PetscObject)C, &comm));
2208: PetscCallMPI(MPI_Comm_rank(comm, &rank));
2209: PetscCallMPI(MPI_Comm_size(comm, &size));
2210: PetscCall(MatDenseGetArrayRead(a->A, &av));
2211: PetscCall(MatDenseGetArrayRead(b->A, &bv));
2212: PetscCall(MatDenseGetArrayWrite(c->A, &cv));
2213: PetscCall(MatDenseGetLDA(a->A, &i));
2214: PetscCall(PetscBLASIntCast(i, &alda));
2215: PetscCall(MatDenseGetLDA(b->A, &i));
2216: PetscCall(PetscBLASIntCast(i, &blda));
2217: PetscCall(MatDenseGetLDA(c->A, &i));
2218: PetscCall(PetscBLASIntCast(i, &clda));
2219: PetscCall(MatGetOwnershipRanges(B, &ranges));
2220: bn = B->rmap->n;
2221: if (blda == bn) {
2222: sendbuf = (PetscScalar *)bv;
2223: } else {
2224: sendbuf = abt->buf[0];
2225: for (k = 0, i = 0; i < cK; i++) {
2226: for (j = 0; j < bn; j++, k++) sendbuf[k] = bv[i * blda + j];
2227: }
2228: }
2229: if (size > 1) {
2230: sendto = (rank + size - 1) % size;
2231: recvfrom = (rank + size + 1) % size;
2232: } else {
2233: sendto = recvfrom = 0;
2234: }
2235: PetscCall(PetscBLASIntCast(cK, &ck));
2236: PetscCall(PetscBLASIntCast(c->A->rmap->n, &cm));
2237: recvisfrom = rank;
2238: for (i = 0; i < size; i++) {
2239: /* we have finished receiving in sending, bufs can be read/modified */
2240: PetscMPIInt nextrecvisfrom = (recvisfrom + 1) % size; /* which process the next recvbuf will originate on */
2241: PetscInt nextbn = ranges[nextrecvisfrom + 1] - ranges[nextrecvisfrom];
2243: if (nextrecvisfrom != rank) {
2244: /* start the cyclic sends from sendbuf, to recvbuf (which will switch to sendbuf) */
2245: sendsiz = cK * bn;
2246: recvsiz = cK * nextbn;
2247: recvbuf = (i & 1) ? abt->buf[0] : abt->buf[1];
2248: PetscCallMPI(MPIU_Isend(sendbuf, sendsiz, MPIU_SCALAR, sendto, abt->tag, comm, &reqs[0]));
2249: PetscCallMPI(MPIU_Irecv(recvbuf, recvsiz, MPIU_SCALAR, recvfrom, abt->tag, comm, &reqs[1]));
2250: }
2252: /* local aseq * sendbuf^T */
2253: PetscCall(PetscBLASIntCast(ranges[recvisfrom + 1] - ranges[recvisfrom], &cn));
2254: if (cm && cn && ck) PetscCallBLAS("BLASgemm", BLASgemm_("N", "T", &cm, &cn, &ck, &_DOne, av, &alda, sendbuf, &cn, &_DZero, cv + clda * ranges[recvisfrom], &clda));
2256: if (nextrecvisfrom != rank) {
2257: /* wait for the sends and receives to complete, swap sendbuf and recvbuf */
2258: PetscCallMPI(MPI_Waitall(2, reqs, MPI_STATUSES_IGNORE));
2259: }
2260: bn = nextbn;
2261: recvisfrom = nextrecvisfrom;
2262: sendbuf = recvbuf;
2263: }
2264: PetscCall(MatDenseRestoreArrayRead(a->A, &av));
2265: PetscCall(MatDenseRestoreArrayRead(b->A, &bv));
2266: PetscCall(MatDenseRestoreArrayWrite(c->A, &cv));
2267: PetscCall(MatSetOption(C, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE));
2268: PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY));
2269: PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY));
2270: PetscFunctionReturn(PETSC_SUCCESS);
2271: }
2273: static PetscErrorCode MatMatTransposeMultNumeric_MPIDense_MPIDense_Allgatherv(Mat A, Mat B, Mat C)
2274: {
2275: Mat_MPIDense *a = (Mat_MPIDense *)A->data, *b = (Mat_MPIDense *)B->data, *c = (Mat_MPIDense *)C->data;
2276: Mat_MatTransMultDense *abt;
2277: MPI_Comm comm;
2278: PetscMPIInt size, ibn;
2279: PetscScalar *cv, *sendbuf, *recvbuf;
2280: const PetscScalar *av, *bv;
2281: PetscInt blda, i, cK = A->cmap->N, k, j, bn;
2282: PetscScalar _DOne = 1.0, _DZero = 0.0;
2283: PetscBLASInt cm, cn, ck, alda, clda;
2285: PetscFunctionBegin;
2286: MatCheckProduct(C, 3);
2287: PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data empty");
2288: abt = (Mat_MatTransMultDense *)C->product->data;
2289: PetscCall(PetscObjectGetComm((PetscObject)A, &comm));
2290: PetscCallMPI(MPI_Comm_size(comm, &size));
2291: PetscCall(MatDenseGetArrayRead(a->A, &av));
2292: PetscCall(MatDenseGetArrayRead(b->A, &bv));
2293: PetscCall(MatDenseGetArrayWrite(c->A, &cv));
2294: PetscCall(MatDenseGetLDA(a->A, &i));
2295: PetscCall(PetscBLASIntCast(i, &alda));
2296: PetscCall(MatDenseGetLDA(b->A, &blda));
2297: PetscCall(MatDenseGetLDA(c->A, &i));
2298: PetscCall(PetscBLASIntCast(i, &clda));
2299: /* copy transpose of B into buf[0] */
2300: bn = B->rmap->n;
2301: sendbuf = abt->buf[0];
2302: recvbuf = abt->buf[1];
2303: for (k = 0, j = 0; j < bn; j++) {
2304: for (i = 0; i < cK; i++, k++) sendbuf[k] = bv[i * blda + j];
2305: }
2306: PetscCall(MatDenseRestoreArrayRead(b->A, &bv));
2307: PetscCall(PetscMPIIntCast(bn * cK, &ibn));
2308: PetscCallMPI(MPI_Allgatherv(sendbuf, ibn, MPIU_SCALAR, recvbuf, abt->recvcounts, abt->recvdispls, MPIU_SCALAR, comm));
2309: PetscCall(PetscBLASIntCast(cK, &ck));
2310: PetscCall(PetscBLASIntCast(c->A->rmap->n, &cm));
2311: PetscCall(PetscBLASIntCast(c->A->cmap->n, &cn));
2312: if (cm && cn && ck) PetscCallBLAS("BLASgemm", BLASgemm_("N", "N", &cm, &cn, &ck, &_DOne, av, &alda, recvbuf, &ck, &_DZero, cv, &clda));
2313: PetscCall(MatDenseRestoreArrayRead(a->A, &av));
2314: PetscCall(MatDenseRestoreArrayRead(b->A, &bv));
2315: PetscCall(MatDenseRestoreArrayWrite(c->A, &cv));
2316: PetscCall(MatSetOption(C, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE));
2317: PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY));
2318: PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY));
2319: PetscFunctionReturn(PETSC_SUCCESS);
2320: }
2322: static PetscErrorCode MatMatTransposeMultNumeric_MPIDense_MPIDense(Mat A, Mat B, Mat C)
2323: {
2324: Mat_MatTransMultDense *abt;
2326: PetscFunctionBegin;
2327: MatCheckProduct(C, 3);
2328: PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data empty");
2329: abt = (Mat_MatTransMultDense *)C->product->data;
2330: switch (abt->alg) {
2331: case 1:
2332: PetscCall(MatMatTransposeMultNumeric_MPIDense_MPIDense_Cyclic(A, B, C));
2333: break;
2334: default:
2335: PetscCall(MatMatTransposeMultNumeric_MPIDense_MPIDense_Allgatherv(A, B, C));
2336: break;
2337: }
2338: PetscFunctionReturn(PETSC_SUCCESS);
2339: }
2341: static PetscErrorCode MatDestroy_MatMatMult_MPIDense_MPIDense(void *data)
2342: {
2343: Mat_MatMultDense *ab = (Mat_MatMultDense *)data;
2345: PetscFunctionBegin;
2346: PetscCall(MatDestroy(&ab->Ce));
2347: PetscCall(MatDestroy(&ab->Ae));
2348: PetscCall(MatDestroy(&ab->Be));
2349: PetscCall(PetscFree(ab));
2350: PetscFunctionReturn(PETSC_SUCCESS);
2351: }
2353: static PetscErrorCode MatMatMultNumeric_MPIDense_MPIDense(Mat A, Mat B, Mat C)
2354: {
2355: Mat_MatMultDense *ab;
2356: Mat_MPIDense *mdn = (Mat_MPIDense *)A->data;
2358: PetscFunctionBegin;
2359: MatCheckProduct(C, 3);
2360: PetscCheck(C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Missing product data");
2361: ab = (Mat_MatMultDense *)C->product->data;
2362: if (ab->Ae && ab->Ce) {
2363: #if PetscDefined(HAVE_ELEMENTAL)
2364: PetscCall(MatConvert_MPIDense_Elemental(A, MATELEMENTAL, MAT_REUSE_MATRIX, &ab->Ae));
2365: PetscCall(MatConvert_MPIDense_Elemental(B, MATELEMENTAL, MAT_REUSE_MATRIX, &ab->Be));
2366: PetscCall(MatMatMultNumeric_Elemental(ab->Ae, ab->Be, ab->Ce));
2367: PetscCall(MatConvert(ab->Ce, MATMPIDENSE, MAT_REUSE_MATRIX, &C));
2368: #else
2369: SETERRQ(PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "PETSC_HAVE_ELEMENTAL not defined");
2370: #endif
2371: } else {
2372: const PetscScalar *read;
2373: PetscScalar *write;
2374: PetscInt lda;
2376: PetscCall(MatDenseGetLDA(B, &lda));
2377: PetscCall(MatDenseGetArrayRead(B, &read));
2378: PetscCall(MatDenseGetArrayWrite(ab->Be, &write));
2379: if (!mdn->Mvctx) PetscCall(MatSetUpMultiply_MPIDense(A)); /* cannot be done during the symbolic phase because of possible calls to MatProductReplaceMats() */
2380: for (PetscInt i = 0; i < C->cmap->N; ++i) {
2381: PetscCall(PetscSFBcastBegin(mdn->Mvctx, MPIU_SCALAR, read + i * lda, write + i * ab->Be->rmap->n, MPI_REPLACE));
2382: PetscCall(PetscSFBcastEnd(mdn->Mvctx, MPIU_SCALAR, read + i * lda, write + i * ab->Be->rmap->n, MPI_REPLACE));
2383: }
2384: PetscCall(MatDenseRestoreArrayWrite(ab->Be, &write));
2385: PetscCall(MatDenseRestoreArrayRead(B, &read));
2386: PetscCall(MatMatMultNumeric_SeqDense_SeqDense(((Mat_MPIDense *)A->data)->A, ab->Be, ((Mat_MPIDense *)C->data)->A));
2387: }
2388: PetscFunctionReturn(PETSC_SUCCESS);
2389: }
2391: static PetscErrorCode MatMatMultSymbolic_MPIDense_MPIDense(Mat A, Mat B, PetscReal fill, Mat C)
2392: {
2393: Mat_Product *product = C->product;
2394: PetscInt alg;
2395: Mat_MatMultDense *ab;
2396: PetscBool flg;
2398: PetscFunctionBegin;
2399: MatCheckProduct(C, 4);
2400: PetscCheck(!C->product->data, PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "Product data not empty");
2401: /* check local size of A and B */
2402: PetscCheck(A->cmap->rstart == B->rmap->rstart && A->cmap->rend == B->rmap->rend, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_SIZ, "Matrix local dimensions are incompatible, A (%" PetscInt_FMT ", %" PetscInt_FMT ") != B (%" PetscInt_FMT ", %" PetscInt_FMT ")",
2403: A->rmap->rstart, A->rmap->rend, B->rmap->rstart, B->rmap->rend);
2405: PetscCall(PetscStrcmp(product->alg, "petsc", &flg));
2406: alg = flg ? 0 : 1;
2408: /* setup C */
2409: PetscCall(MatSetSizes(C, A->rmap->n, B->cmap->n, A->rmap->N, B->cmap->N));
2410: PetscCall(MatSetType(C, MATMPIDENSE));
2411: PetscCall(MatSetUp(C));
2413: /* create data structure for reuse Cdense */
2414: PetscCall(PetscNew(&ab));
2416: switch (alg) {
2417: case 1: /* alg: "elemental" */
2418: #if PetscDefined(HAVE_ELEMENTAL)
2419: /* create elemental matrices Ae and Be */
2420: PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &ab->Ae));
2421: PetscCall(MatSetSizes(ab->Ae, PETSC_DECIDE, PETSC_DECIDE, A->rmap->N, A->cmap->N));
2422: PetscCall(MatSetType(ab->Ae, MATELEMENTAL));
2423: PetscCall(MatSetUp(ab->Ae));
2424: PetscCall(MatSetOption(ab->Ae, MAT_ROW_ORIENTED, PETSC_FALSE));
2426: PetscCall(MatCreate(PetscObjectComm((PetscObject)B), &ab->Be));
2427: PetscCall(MatSetSizes(ab->Be, PETSC_DECIDE, PETSC_DECIDE, B->rmap->N, B->cmap->N));
2428: PetscCall(MatSetType(ab->Be, MATELEMENTAL));
2429: PetscCall(MatSetUp(ab->Be));
2430: PetscCall(MatSetOption(ab->Be, MAT_ROW_ORIENTED, PETSC_FALSE));
2432: /* compute symbolic Ce = Ae*Be */
2433: PetscCall(MatCreate(PetscObjectComm((PetscObject)C), &ab->Ce));
2434: PetscCall(MatMatMultSymbolic_Elemental(ab->Ae, ab->Be, fill, ab->Ce));
2435: #else
2436: SETERRQ(PetscObjectComm((PetscObject)C), PETSC_ERR_PLIB, "PETSC_HAVE_ELEMENTAL not defined");
2437: #endif
2438: break;
2439: default: /* alg: "petsc" */
2440: ab->Ae = NULL;
2441: PetscCall(MatCreateSeqDense(PETSC_COMM_SELF, A->cmap->N, B->cmap->N, NULL, &ab->Be));
2442: ab->Ce = NULL;
2443: break;
2444: }
2446: C->product->data = ab;
2447: C->product->destroy = MatDestroy_MatMatMult_MPIDense_MPIDense;
2448: C->ops->matmultnumeric = MatMatMultNumeric_MPIDense_MPIDense;
2449: PetscFunctionReturn(PETSC_SUCCESS);
2450: }
2452: static PetscErrorCode MatProductSetFromOptions_MPIDense_AB(Mat C)
2453: {
2454: Mat_Product *product = C->product;
2455: const char *algTypes[2] = {"petsc", "elemental"};
2456: PetscInt alg, nalg = PetscDefined(HAVE_ELEMENTAL) ? 2 : 1;
2457: PetscBool flg = PETSC_FALSE;
2459: PetscFunctionBegin;
2460: /* Set default algorithm */
2461: alg = 0; /* default is petsc */
2462: PetscCall(PetscStrcmp(product->alg, "default", &flg));
2463: if (flg) PetscCall(MatProductSetAlgorithm(C, algTypes[alg]));
2465: /* Get runtime option */
2466: PetscOptionsBegin(PetscObjectComm((PetscObject)C), ((PetscObject)C)->prefix, "MatProduct_AB", "Mat");
2467: PetscCall(PetscOptionsEList("-mat_product_algorithm", "Algorithmic approach", "MatProduct_AB", algTypes, nalg, algTypes[alg], &alg, &flg));
2468: PetscOptionsEnd();
2469: if (flg) PetscCall(MatProductSetAlgorithm(C, algTypes[alg]));
2471: C->ops->matmultsymbolic = MatMatMultSymbolic_MPIDense_MPIDense;
2472: C->ops->productsymbolic = MatProductSymbolic_AB;
2473: PetscFunctionReturn(PETSC_SUCCESS);
2474: }
2476: static PetscErrorCode MatProductSetFromOptions_MPIDense_AtB(Mat C)
2477: {
2478: Mat_Product *product = C->product;
2479: Mat A = product->A, B = product->B;
2481: PetscFunctionBegin;
2482: PetscCheck(A->rmap->rstart == B->rmap->rstart && A->rmap->rend == B->rmap->rend, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Matrix local dimensions are incompatible, (%" PetscInt_FMT ", %" PetscInt_FMT ") != (%" PetscInt_FMT ",%" PetscInt_FMT ")",
2483: A->rmap->rstart, A->rmap->rend, B->rmap->rstart, B->rmap->rend);
2484: C->ops->transposematmultsymbolic = MatTransposeMatMultSymbolic_MPIDense_MPIDense;
2485: C->ops->productsymbolic = MatProductSymbolic_AtB;
2486: PetscFunctionReturn(PETSC_SUCCESS);
2487: }
2489: static PetscErrorCode MatProductSetFromOptions_MPIDense_ABt(Mat C)
2490: {
2491: Mat_Product *product = C->product;
2492: const char *algTypes[2] = {"allgatherv", "cyclic"};
2493: PetscInt alg, nalg = 2;
2494: PetscBool flg = PETSC_FALSE;
2496: PetscFunctionBegin;
2497: /* Set default algorithm */
2498: alg = 0; /* default is allgatherv */
2499: PetscCall(PetscStrcmp(product->alg, "default", &flg));
2500: if (flg) PetscCall(MatProductSetAlgorithm(C, algTypes[alg]));
2502: /* Get runtime option */
2503: if (product->api_user) {
2504: PetscOptionsBegin(PetscObjectComm((PetscObject)C), ((PetscObject)C)->prefix, "MatMatTransposeMult", "Mat");
2505: PetscCall(PetscOptionsEList("-matmattransmult_mpidense_mpidense_via", "Algorithmic approach", "MatMatTransposeMult", algTypes, nalg, algTypes[alg], &alg, &flg));
2506: PetscOptionsEnd();
2507: } else {
2508: PetscOptionsBegin(PetscObjectComm((PetscObject)C), ((PetscObject)C)->prefix, "MatProduct_ABt", "Mat");
2509: PetscCall(PetscOptionsEList("-mat_product_algorithm", "Algorithmic approach", "MatProduct_ABt", algTypes, nalg, algTypes[alg], &alg, &flg));
2510: PetscOptionsEnd();
2511: }
2512: if (flg) PetscCall(MatProductSetAlgorithm(C, algTypes[alg]));
2514: C->ops->mattransposemultsymbolic = MatMatTransposeMultSymbolic_MPIDense_MPIDense;
2515: C->ops->productsymbolic = MatProductSymbolic_ABt;
2516: PetscFunctionReturn(PETSC_SUCCESS);
2517: }
2519: static PetscErrorCode MatProductSetFromOptions_MPIDense(Mat C)
2520: {
2521: Mat_Product *product = C->product;
2523: PetscFunctionBegin;
2524: switch (product->type) {
2525: case MATPRODUCT_AB:
2526: PetscCall(MatProductSetFromOptions_MPIDense_AB(C));
2527: break;
2528: case MATPRODUCT_AtB:
2529: PetscCall(MatProductSetFromOptions_MPIDense_AtB(C));
2530: break;
2531: case MATPRODUCT_ABt:
2532: PetscCall(MatProductSetFromOptions_MPIDense_ABt(C));
2533: break;
2534: default:
2535: break;
2536: }
2537: PetscFunctionReturn(PETSC_SUCCESS);
2538: }