xref: /petsc/src/ksp/pc/impls/factor/ilu/ilu.c (revision 98d129c30f3ee9fdddc40fdbc5a989b7be64f888)
1 /*
2    Defines a ILU factorization preconditioner for any Mat implementation
3 */
4 #include <../src/ksp/pc/impls/factor/ilu/ilu.h> /*I "petscpc.h"  I*/
5 
6 static PetscErrorCode PCFactorReorderForNonzeroDiagonal_ILU(PC pc, PetscReal z)
7 {
8   PC_ILU *ilu = (PC_ILU *)pc->data;
9 
10   PetscFunctionBegin;
11   ilu->nonzerosalongdiagonal = PETSC_TRUE;
12   if (z == (PetscReal)PETSC_DECIDE) ilu->nonzerosalongdiagonaltol = 1.e-10;
13   else ilu->nonzerosalongdiagonaltol = z;
14   PetscFunctionReturn(PETSC_SUCCESS);
15 }
16 
17 static PetscErrorCode PCReset_ILU(PC pc)
18 {
19   PC_ILU *ilu = (PC_ILU *)pc->data;
20 
21   PetscFunctionBegin;
22   if (!ilu->hdr.inplace) PetscCall(MatDestroy(&((PC_Factor *)ilu)->fact));
23   if (ilu->row && ilu->col && ilu->row != ilu->col) PetscCall(ISDestroy(&ilu->row));
24   PetscCall(ISDestroy(&ilu->col));
25   PetscFunctionReturn(PETSC_SUCCESS);
26 }
27 
28 PetscErrorCode PCFactorSetDropTolerance_ILU(PC pc, PetscReal dt, PetscReal dtcol, PetscInt dtcount)
29 {
30   PC_ILU *ilu = (PC_ILU *)pc->data;
31 
32   PetscFunctionBegin;
33   if (pc->setupcalled && (((PC_Factor *)ilu)->info.dt != dt || ((PC_Factor *)ilu)->info.dtcol != dtcol || ((PC_Factor *)ilu)->info.dtcount != dtcount)) {
34     SETERRQ(PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Cannot change drop tolerance after using PC");
35   }
36   ((PC_Factor *)ilu)->info.dt      = dt;
37   ((PC_Factor *)ilu)->info.dtcol   = dtcol;
38   ((PC_Factor *)ilu)->info.dtcount = dtcount;
39   ((PC_Factor *)ilu)->info.usedt   = 1.0;
40   PetscFunctionReturn(PETSC_SUCCESS);
41 }
42 
43 static PetscErrorCode PCSetFromOptions_ILU(PC pc, PetscOptionItems *PetscOptionsObject)
44 {
45   PetscInt  itmp;
46   PetscBool flg, set;
47   PC_ILU   *ilu = (PC_ILU *)pc->data;
48   PetscReal tol;
49 
50   PetscFunctionBegin;
51   PetscOptionsHeadBegin(PetscOptionsObject, "ILU Options");
52   PetscCall(PCSetFromOptions_Factor(pc, PetscOptionsObject));
53 
54   PetscCall(PetscOptionsInt("-pc_factor_levels", "levels of fill", "PCFactorSetLevels", (PetscInt)((PC_Factor *)ilu)->info.levels, &itmp, &flg));
55   if (flg) ((PC_Factor *)ilu)->info.levels = itmp;
56 
57   PetscCall(PetscOptionsBool("-pc_factor_diagonal_fill", "Allow fill into empty diagonal entry", "PCFactorSetAllowDiagonalFill", ((PC_Factor *)ilu)->info.diagonal_fill ? PETSC_TRUE : PETSC_FALSE, &flg, &set));
58   if (set) ((PC_Factor *)ilu)->info.diagonal_fill = (PetscReal)flg;
59   PetscCall(PetscOptionsName("-pc_factor_nonzeros_along_diagonal", "Reorder to remove zeros from diagonal", "PCFactorReorderForNonzeroDiagonal", &flg));
60   if (flg) {
61     tol = PETSC_DECIDE;
62     PetscCall(PetscOptionsReal("-pc_factor_nonzeros_along_diagonal", "Reorder to remove zeros from diagonal", "PCFactorReorderForNonzeroDiagonal", ilu->nonzerosalongdiagonaltol, &tol, NULL));
63     PetscCall(PCFactorReorderForNonzeroDiagonal(pc, tol));
64   }
65 
66   PetscOptionsHeadEnd();
67   PetscFunctionReturn(PETSC_SUCCESS);
68 }
69 
70 static PetscErrorCode PCSetUp_ILU(PC pc)
71 {
72   PC_ILU        *ilu = (PC_ILU *)pc->data;
73   MatInfo        info;
74   PetscBool      flg;
75   MatSolverType  stype;
76   MatFactorError err;
77   const char    *prefix;
78 
79   PetscFunctionBegin;
80   pc->failedreason = PC_NOERROR;
81   /* ugly hack to change default, since it is not support by some matrix types */
82   if (((PC_Factor *)ilu)->info.shifttype == (PetscReal)MAT_SHIFT_NONZERO) {
83     PetscCall(PetscObjectTypeCompare((PetscObject)pc->pmat, MATSEQAIJ, &flg));
84     if (!flg) {
85       PetscCall(PetscObjectTypeCompare((PetscObject)pc->pmat, MATMPIAIJ, &flg));
86       if (!flg) {
87         ((PC_Factor *)ilu)->info.shifttype = (PetscReal)MAT_SHIFT_INBLOCKS;
88         PetscCall(PetscInfo(pc, "Changing shift type from NONZERO to INBLOCKS because block matrices do not support NONZERO\n"));
89       }
90     }
91   }
92 
93   PetscCall(PCGetOptionsPrefix(pc, &prefix));
94   PetscCall(MatSetOptionsPrefixFactor(pc->pmat, prefix));
95 
96   PetscCall(MatSetErrorIfFailure(pc->pmat, pc->erroriffailure));
97   if (ilu->hdr.inplace) {
98     if (!pc->setupcalled) {
99       /* In-place factorization only makes sense with the natural ordering,
100          so we only need to get the ordering once, even if nonzero structure changes */
101       /* Should not get the ordering if the factorization routine does not use it, but do not yet have access to the factor matrix */
102       PetscCall(PCFactorSetDefaultOrdering_Factor(pc));
103       PetscCall(MatDestroy(&((PC_Factor *)ilu)->fact));
104       PetscCall(MatGetOrdering(pc->pmat, ((PC_Factor *)ilu)->ordering, &ilu->row, &ilu->col));
105     }
106 
107     /* In place ILU only makes sense with fill factor of 1.0 because
108        cannot have levels of fill */
109     ((PC_Factor *)ilu)->info.fill          = 1.0;
110     ((PC_Factor *)ilu)->info.diagonal_fill = 0.0;
111 
112     PetscCall(MatILUFactor(pc->pmat, ilu->row, ilu->col, &((PC_Factor *)ilu)->info));
113     PetscCall(MatFactorGetError(pc->pmat, &err));
114     if (err) { /* Factor() fails */
115       pc->failedreason = (PCFailedReason)err;
116       PetscFunctionReturn(PETSC_SUCCESS);
117     }
118 
119     ((PC_Factor *)ilu)->fact = pc->pmat;
120     /* must update the pc record of the matrix state or the PC will attempt to run PCSetUp() yet again */
121     PetscCall(PetscObjectStateGet((PetscObject)pc->pmat, &pc->matstate));
122   } else {
123     if (!pc->setupcalled) {
124       /* first time in so compute reordering and symbolic factorization */
125       PetscBool canuseordering;
126 
127       PetscCall(PCFactorSetUpMatSolverType(pc));
128       PetscCall(MatFactorGetCanUseOrdering(((PC_Factor *)ilu)->fact, &canuseordering));
129       if (canuseordering) {
130         PetscCall(PCFactorSetDefaultOrdering_Factor(pc));
131         PetscCall(MatGetOrdering(pc->pmat, ((PC_Factor *)ilu)->ordering, &ilu->row, &ilu->col));
132         /*  Remove zeros along diagonal?     */
133         if (ilu->nonzerosalongdiagonal) PetscCall(MatReorderForNonzeroDiagonal(pc->pmat, ilu->nonzerosalongdiagonaltol, ilu->row, ilu->col));
134       }
135       PetscCall(MatILUFactorSymbolic(((PC_Factor *)ilu)->fact, pc->pmat, ilu->row, ilu->col, &((PC_Factor *)ilu)->info));
136       PetscCall(MatGetInfo(((PC_Factor *)ilu)->fact, MAT_LOCAL, &info));
137       ilu->hdr.actualfill = info.fill_ratio_needed;
138     } else if (pc->flag != SAME_NONZERO_PATTERN) {
139       if (!ilu->hdr.reuseordering) {
140         PetscBool canuseordering;
141 
142         PetscCall(MatDestroy(&((PC_Factor *)ilu)->fact));
143         PetscCall(PCFactorSetUpMatSolverType(pc));
144         PetscCall(MatFactorGetCanUseOrdering(((PC_Factor *)ilu)->fact, &canuseordering));
145         if (canuseordering) {
146           /* compute a new ordering for the ILU */
147           PetscCall(ISDestroy(&ilu->row));
148           PetscCall(ISDestroy(&ilu->col));
149           PetscCall(PCFactorSetDefaultOrdering_Factor(pc));
150           PetscCall(MatGetOrdering(pc->pmat, ((PC_Factor *)ilu)->ordering, &ilu->row, &ilu->col));
151           /*  Remove zeros along diagonal?     */
152           if (ilu->nonzerosalongdiagonal) PetscCall(MatReorderForNonzeroDiagonal(pc->pmat, ilu->nonzerosalongdiagonaltol, ilu->row, ilu->col));
153         }
154       }
155       PetscCall(MatILUFactorSymbolic(((PC_Factor *)ilu)->fact, pc->pmat, ilu->row, ilu->col, &((PC_Factor *)ilu)->info));
156       PetscCall(MatGetInfo(((PC_Factor *)ilu)->fact, MAT_LOCAL, &info));
157       ilu->hdr.actualfill = info.fill_ratio_needed;
158     }
159     PetscCall(MatFactorGetError(((PC_Factor *)ilu)->fact, &err));
160     if (err) { /* FactorSymbolic() fails */
161       pc->failedreason = (PCFailedReason)err;
162       PetscFunctionReturn(PETSC_SUCCESS);
163     }
164 
165     PetscCall(MatLUFactorNumeric(((PC_Factor *)ilu)->fact, pc->pmat, &((PC_Factor *)ilu)->info));
166     PetscCall(MatFactorGetError(((PC_Factor *)ilu)->fact, &err));
167     if (err) { /* FactorNumeric() fails */
168       pc->failedreason = (PCFailedReason)err;
169     }
170   }
171 
172   PetscCall(PCFactorGetMatSolverType(pc, &stype));
173   if (!stype) {
174     MatSolverType solverpackage;
175     PetscCall(MatFactorGetSolverType(((PC_Factor *)ilu)->fact, &solverpackage));
176     PetscCall(PCFactorSetMatSolverType(pc, solverpackage));
177   }
178   PetscFunctionReturn(PETSC_SUCCESS);
179 }
180 
181 static PetscErrorCode PCDestroy_ILU(PC pc)
182 {
183   PC_ILU *ilu = (PC_ILU *)pc->data;
184 
185   PetscFunctionBegin;
186   PetscCall(PCReset_ILU(pc));
187   PetscCall(PetscFree(((PC_Factor *)ilu)->solvertype));
188   PetscCall(PetscFree(((PC_Factor *)ilu)->ordering));
189   PetscCall(PetscFree(pc->data));
190   PetscCall(PCFactorClearComposedFunctions(pc));
191   PetscFunctionReturn(PETSC_SUCCESS);
192 }
193 
194 static PetscErrorCode PCApply_ILU(PC pc, Vec x, Vec y)
195 {
196   PC_ILU *ilu = (PC_ILU *)pc->data;
197 
198   PetscFunctionBegin;
199   PetscCall(MatSolve(((PC_Factor *)ilu)->fact, x, y));
200   PetscFunctionReturn(PETSC_SUCCESS);
201 }
202 
203 static PetscErrorCode PCMatApply_ILU(PC pc, Mat X, Mat Y)
204 {
205   PC_ILU *ilu = (PC_ILU *)pc->data;
206 
207   PetscFunctionBegin;
208   PetscCall(MatMatSolve(((PC_Factor *)ilu)->fact, X, Y));
209   PetscFunctionReturn(PETSC_SUCCESS);
210 }
211 
212 static PetscErrorCode PCApplyTranspose_ILU(PC pc, Vec x, Vec y)
213 {
214   PC_ILU *ilu = (PC_ILU *)pc->data;
215 
216   PetscFunctionBegin;
217   PetscCall(MatSolveTranspose(((PC_Factor *)ilu)->fact, x, y));
218   PetscFunctionReturn(PETSC_SUCCESS);
219 }
220 
221 static PetscErrorCode PCApplySymmetricLeft_ILU(PC pc, Vec x, Vec y)
222 {
223   PC_ILU *icc = (PC_ILU *)pc->data;
224 
225   PetscFunctionBegin;
226   PetscCall(MatForwardSolve(((PC_Factor *)icc)->fact, x, y));
227   PetscFunctionReturn(PETSC_SUCCESS);
228 }
229 
230 static PetscErrorCode PCApplySymmetricRight_ILU(PC pc, Vec x, Vec y)
231 {
232   PC_ILU *icc = (PC_ILU *)pc->data;
233 
234   PetscFunctionBegin;
235   PetscCall(MatBackwardSolve(((PC_Factor *)icc)->fact, x, y));
236   PetscFunctionReturn(PETSC_SUCCESS);
237 }
238 
239 /*MC
240      PCILU - Incomplete factorization preconditioners {cite}`dupont1968approximate`, {cite}`oliphant1961implicit`, {cite}`chan1997approximate`
241 
242    Options Database Keys:
243 +  -pc_factor_levels <k>                                 - number of levels of fill for ILU(k)
244 .  -pc_factor_in_place                                   - only for ILU(0) with natural ordering, reuses the space of the matrix for
245                                                          its factorization (overwrites original matrix)
246 .  -pc_factor_diagonal_fill                              - fill in a zero diagonal even if levels of fill indicate it wouldn't be fill
247 .  -pc_factor_reuse_ordering                             - reuse ordering of factorized matrix from previous factorization
248 .  -pc_factor_fill <nfill>                               - expected amount of fill in factored matrix compared to original matrix, nfill > 1
249 .  -pc_factor_nonzeros_along_diagonal                    - reorder the matrix before factorization to remove zeros from the diagonal,
250                                                          this decreases the chance of getting a zero pivot
251 .  -pc_factor_mat_ordering_type <natural,nd,1wd,rcm,qmd> - set the row/column ordering of the factored matrix
252 -  -pc_factor_pivot_in_blocks                            - for block ILU(k) factorization, i.e. with `MATBAIJ` matrices with block size larger
253                                                          than 1 the diagonal blocks are factored with partial pivoting (this increases the
254                                                          stability of the ILU factorization
255 
256    Level: beginner
257 
258    Notes:
259    Only implemented for some matrix format and sequential. For parallel see `PCHYPRE` for hypre's ILU
260 
261    For `MATSEQBAIJ` matrices this implements a point block ILU
262 
263    The "symmetric" application of this preconditioner is not actually symmetric since L is not transpose(U)
264    even when the matrix is not symmetric since the U stores the diagonals of the factorization.
265 
266    If you are using `MATSEQAIJCUSPARSE` matrices (or `MATMPIAIJCUSPARSE` matrices with block Jacobi), factorization
267    is never done on the GPU).
268 
269 .seealso: [](ch_ksp), `PCCreate()`, `PCSetType()`, `PCType`, `PC`, `PCSOR`, `MatOrderingType`, `PCLU`, `PCICC`, `PCCHOLESKY`,
270           `PCFactorSetZeroPivot()`, `PCFactorSetShiftSetType()`, `PCFactorSetAmount()`,
271           `PCFactorSetDropTolerance()`, `PCFactorSetFill()`, `PCFactorSetMatOrderingType()`, `PCFactorSetReuseOrdering()`,
272           `PCFactorSetLevels()`, `PCFactorSetUseInPlace()`, `PCFactorSetAllowDiagonalFill()`, `PCFactorSetPivotInBlocks()`,
273           `PCFactorGetAllowDiagonalFill()`, `PCFactorGetUseInPlace()`
274 M*/
275 
276 PETSC_EXTERN PetscErrorCode PCCreate_ILU(PC pc)
277 {
278   PC_ILU *ilu;
279 
280   PetscFunctionBegin;
281   PetscCall(PetscNew(&ilu));
282   pc->data = (void *)ilu;
283   PetscCall(PCFactorInitialize(pc, MAT_FACTOR_ILU));
284 
285   ((PC_Factor *)ilu)->info.levels  = 0.;
286   ((PC_Factor *)ilu)->info.fill    = 1.0;
287   ilu->col                         = NULL;
288   ilu->row                         = NULL;
289   ((PC_Factor *)ilu)->info.dt      = PETSC_DEFAULT;
290   ((PC_Factor *)ilu)->info.dtcount = PETSC_DEFAULT;
291   ((PC_Factor *)ilu)->info.dtcol   = PETSC_DEFAULT;
292 
293   pc->ops->reset               = PCReset_ILU;
294   pc->ops->destroy             = PCDestroy_ILU;
295   pc->ops->apply               = PCApply_ILU;
296   pc->ops->matapply            = PCMatApply_ILU;
297   pc->ops->applytranspose      = PCApplyTranspose_ILU;
298   pc->ops->setup               = PCSetUp_ILU;
299   pc->ops->setfromoptions      = PCSetFromOptions_ILU;
300   pc->ops->view                = PCView_Factor;
301   pc->ops->applysymmetricleft  = PCApplySymmetricLeft_ILU;
302   pc->ops->applysymmetricright = PCApplySymmetricRight_ILU;
303   pc->ops->applyrichardson     = NULL;
304   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCFactorSetDropTolerance_C", PCFactorSetDropTolerance_ILU));
305   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCFactorReorderForNonzeroDiagonal_C", PCFactorReorderForNonzeroDiagonal_ILU));
306   PetscFunctionReturn(PETSC_SUCCESS);
307 }
308