xref: /petsc/src/ksp/pc/impls/factor/icc/icc.c (revision 6abefa4f446b2ea91915da4e25ea0defa83db48e)
1 #define PETSCKSP_DLL
2 
3 #include "../src/ksp/pc/impls/factor/icc/icc.h"   /*I "petscpc.h" I*/
4 
5 #undef __FUNCT__
6 #define __FUNCT__ "PCSetup_ICC"
7 static PetscErrorCode PCSetup_ICC(PC pc)
8 {
9   PC_ICC         *icc = (PC_ICC*)pc->data;
10   IS             perm,cperm;
11   PetscErrorCode ierr;
12   MatInfo        info;
13 
14   PetscFunctionBegin;
15   ierr = MatGetOrdering(pc->pmat, ((PC_Factor*)icc)->ordering,&perm,&cperm);CHKERRQ(ierr);
16 
17   if (!pc->setupcalled) {
18     ierr = MatGetFactor(pc->pmat,((PC_Factor*)icc)->solvertype,MAT_FACTOR_ICC,& ((PC_Factor*)icc)->fact);CHKERRQ(ierr);
19     ierr = MatICCFactorSymbolic(((PC_Factor*)icc)->fact,pc->pmat,perm,&((PC_Factor*)icc)->info);CHKERRQ(ierr);
20   } else if (pc->flag != SAME_NONZERO_PATTERN) {
21     ierr = MatDestroy(((PC_Factor*)icc)->fact);CHKERRQ(ierr);
22     ierr = MatGetFactor(pc->pmat,MAT_SOLVER_PETSC,MAT_FACTOR_ICC,&((PC_Factor*)icc)->fact);CHKERRQ(ierr);
23     ierr = MatICCFactorSymbolic(((PC_Factor*)icc)->fact,pc->pmat,perm,&((PC_Factor*)icc)->info);CHKERRQ(ierr);
24   }
25   ierr = MatGetInfo(((PC_Factor*)icc)->fact,MAT_LOCAL,&info);CHKERRQ(ierr);
26   icc->actualfill = info.fill_ratio_needed;
27 
28   ierr = ISDestroy(cperm);CHKERRQ(ierr);
29   ierr = ISDestroy(perm);CHKERRQ(ierr);
30   ierr = MatCholeskyFactorNumeric(((PC_Factor*)icc)->fact,pc->pmat,&((PC_Factor*)icc)->info);CHKERRQ(ierr);
31   PetscFunctionReturn(0);
32 }
33 
34 #undef __FUNCT__
35 #define __FUNCT__ "PCDestroy_ICC"
36 static PetscErrorCode PCDestroy_ICC(PC pc)
37 {
38   PC_ICC         *icc = (PC_ICC*)pc->data;
39   PetscErrorCode ierr;
40 
41   PetscFunctionBegin;
42   if (((PC_Factor*)icc)->fact) {ierr = MatDestroy(((PC_Factor*)icc)->fact);CHKERRQ(ierr);}
43   ierr = PetscStrfree(((PC_Factor*)icc)->ordering);CHKERRQ(ierr);
44   ierr = PetscStrfree(((PC_Factor*)icc)->solvertype);CHKERRQ(ierr);
45   ierr = PetscFree(icc);CHKERRQ(ierr);
46   PetscFunctionReturn(0);
47 }
48 
49 #undef __FUNCT__
50 #define __FUNCT__ "PCApply_ICC"
51 static PetscErrorCode PCApply_ICC(PC pc,Vec x,Vec y)
52 {
53   PC_ICC         *icc = (PC_ICC*)pc->data;
54   PetscErrorCode ierr;
55 
56   PetscFunctionBegin;
57   ierr = MatSolve(((PC_Factor*)icc)->fact,x,y);CHKERRQ(ierr);
58   PetscFunctionReturn(0);
59 }
60 
61 #undef __FUNCT__
62 #define __FUNCT__ "PCApplySymmetricLeft_ICC"
63 static PetscErrorCode PCApplySymmetricLeft_ICC(PC pc,Vec x,Vec y)
64 {
65   PetscErrorCode ierr;
66   PC_ICC         *icc = (PC_ICC*)pc->data;
67 
68   PetscFunctionBegin;
69   ierr = MatForwardSolve(((PC_Factor*)icc)->fact,x,y);CHKERRQ(ierr);
70   PetscFunctionReturn(0);
71 }
72 
73 #undef __FUNCT__
74 #define __FUNCT__ "PCApplySymmetricRight_ICC"
75 static PetscErrorCode PCApplySymmetricRight_ICC(PC pc,Vec x,Vec y)
76 {
77   PetscErrorCode ierr;
78   PC_ICC         *icc = (PC_ICC*)pc->data;
79 
80   PetscFunctionBegin;
81   ierr = MatBackwardSolve(((PC_Factor*)icc)->fact,x,y);CHKERRQ(ierr);
82   PetscFunctionReturn(0);
83 }
84 
85 #undef __FUNCT__
86 #define __FUNCT__ "PCSetFromOptions_ICC"
87 static PetscErrorCode PCSetFromOptions_ICC(PC pc)
88 {
89   PC_ICC         *icc = (PC_ICC*)pc->data;
90   PetscTruth     flg;
91   PetscInt       dtmax = 3;
92   PetscReal      dt[3];
93   PetscErrorCode ierr;
94 
95   PetscFunctionBegin;
96   ierr = PetscOptionsHead("ICC Options");CHKERRQ(ierr);
97     ierr = PCSetFromOptions_Factor(pc);CHKERRQ(ierr);
98 
99     ierr = PetscOptionsReal("-pc_factor_levels","levels of fill","PCFactorSetLevels",((PC_Factor*)icc)->info.levels,&((PC_Factor*)icc)->info.levels,&flg);CHKERRQ(ierr);
100     dt[0] = ((PC_Factor*)icc)->info.dt;
101     dt[1] = ((PC_Factor*)icc)->info.dtcol;
102     dt[2] = ((PC_Factor*)icc)->info.dtcount;
103     ierr = PetscOptionsRealArray("-pc_factor_drop_tolerance","<dt,dtcol,maxrowcount>","PCFactorSetDropTolerance",dt,&dtmax,&flg);CHKERRQ(ierr);
104     if (flg) {
105       ierr = PCFactorSetDropTolerance(pc,dt[0],dt[1],(PetscInt)dt[2]);CHKERRQ(ierr);
106     }
107 
108   ierr = PetscOptionsTail();CHKERRQ(ierr);
109   PetscFunctionReturn(0);
110 }
111 
112 #undef __FUNCT__
113 #define __FUNCT__ "PCView_ICC"
114 static PetscErrorCode PCView_ICC(PC pc,PetscViewer viewer)
115 {
116   PC_ICC         *icc = (PC_ICC*)pc->data;
117   PetscErrorCode ierr;
118   PetscTruth     isstring,iascii;
119 
120   PetscFunctionBegin;
121   ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_STRING,&isstring);CHKERRQ(ierr);
122   ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_ASCII,&iascii);CHKERRQ(ierr);
123   if (iascii) {
124     if (((PC_Factor*)icc)->info.levels == 1) {
125         ierr = PetscViewerASCIIPrintf(viewer,"  ICC: %D level of fill\n",(PetscInt)((PC_Factor*)icc)->info.levels);CHKERRQ(ierr);
126     } else {
127         ierr = PetscViewerASCIIPrintf(viewer,"  ICC: %D levels of fill\n",(PetscInt)((PC_Factor*)icc)->info.levels);CHKERRQ(ierr);
128     }
129     ierr = PetscViewerASCIIPrintf(viewer,"  ICC: factor fill ratio allocated %G, ordering used %s\n",((PC_Factor*)icc)->info.fill,((PC_Factor*)icc)->ordering);CHKERRQ(ierr);
130 
131     if (((PC_Factor*)icc)->info.shifttype==MAT_SHIFT_POSITIVE_DEFINITE) {
132       ierr = PetscViewerASCIIPrintf(viewer,"  ICC: using Manteuffel shift\n");CHKERRQ(ierr);
133     }
134     if (((PC_Factor*)icc)->info.shifttype==MAT_SHIFT_NONZERO) {
135       ierr = PetscViewerASCIIPrintf(viewer,"  ICC: using diagonal shift to prevent zero pivot\n");CHKERRQ(ierr);
136     }
137     if (((PC_Factor*)icc)->info.shifttype==MAT_SHIFT_INBLOCKS) {
138       ierr = PetscViewerASCIIPrintf(viewer,"  ICC: using diagonal shift on blocks to prevent zero pivot\n");CHKERRQ(ierr);
139     }
140 
141     if (((PC_Factor*)icc)->fact) {
142       ierr = PetscViewerASCIIPrintf(viewer,"  ICC: factor fill ratio needed %G\n",icc->actualfill);CHKERRQ(ierr);
143       ierr = PetscViewerASCIIPrintf(viewer,"       Factored matrix follows\n");CHKERRQ(ierr);
144       ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr);
145       ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr);
146       ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr);
147       ierr = PetscViewerPushFormat(viewer,PETSC_VIEWER_ASCII_INFO);CHKERRQ(ierr);
148       ierr = MatView(((PC_Factor*)icc)->fact,viewer);CHKERRQ(ierr);
149       ierr = PetscViewerPopFormat(viewer);CHKERRQ(ierr);
150       ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr);
151       ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr);
152       ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr);
153     }
154   } else if (isstring) {
155     ierr = PetscViewerStringSPrintf(viewer," lvls=%D",(PetscInt)((PC_Factor*)icc)->info.levels);CHKERRQ(ierr);CHKERRQ(ierr);
156   } else {
157     SETERRQ1(PETSC_ERR_SUP,"Viewer type %s not supported for PCICC",((PetscObject)viewer)->type_name);
158   }
159   PetscFunctionReturn(0);
160 }
161 
162 EXTERN_C_BEGIN
163 extern PetscErrorCode PETSCKSP_DLLEXPORT PCFactorSetDropTolerance_ILU(PC,PetscReal,PetscReal,PetscInt);
164 EXTERN_C_END
165 
166 /*MC
167      PCICC - Incomplete Cholesky factorization preconditioners.
168 
169    Options Database Keys:
170 +  -pc_factor_levels <k> - number of levels of fill for ICC(k)
171 .  -pc_factor_in_place - only for ICC(0) with natural ordering, reuses the space of the matrix for
172                       its factorization (overwrites original matrix)
173 .  -pc_factor_fill <nfill> - expected amount of fill in factored matrix compared to original matrix, nfill > 1
174 -  -pc_factor_mat_ordering_type <natural,nd,1wd,rcm,qmd> - set the row/column ordering of the factored matrix
175 
176    Level: beginner
177 
178   Concepts: incomplete Cholesky factorization
179 
180    Notes: Only implemented for some matrix formats. Not implemented in parallel.
181 
182           For BAIJ matrices this implements a point block ICC.
183 
184           The Manteuffel shift is only implemented for matrices with block size 1
185 
186           By default, the Manteuffel is applied (for matrices with block size 1). Call PCFactorSetShiftType(pc,MAT_SHIFT_POSITIVE_DEFINITE);
187           to turn off the shift.
188 
189    References:
190    Review article: APPROXIMATE AND INCOMPLETE FACTORIZATIONS, TONY F. CHAN AND HENK A. VAN DER VORST
191       http://igitur-archive.library.uu.nl/math/2001-0621-115821/proc.pdf chapter in Parallel Numerical
192       Algorithms, edited by D. Keyes, A. Semah, V. Venkatakrishnan, ICASE/LaRC Interdisciplinary Series in
193       Science and Engineering, Kluwer, pp. 167--202.
194 
195 
196 .seealso:  PCCreate(), PCSetType(), PCType (for list of available types), PC, PCSOR, MatOrderingType,
197            PCFactorSetZeroPivot(), PCFactorSetShiftType(), PCFactorSetShiftAmount(),
198            PCFactorSetFill(), PCFactorSetMatOrderingType(), PCFactorSetReuseOrdering(),
199            PCFactorSetLevels()
200 
201 M*/
202 
203 EXTERN_C_BEGIN
204 #undef __FUNCT__
205 #define __FUNCT__ "PCCreate_ICC"
206 PetscErrorCode PETSCKSP_DLLEXPORT PCCreate_ICC(PC pc)
207 {
208   PetscErrorCode ierr;
209   PC_ICC         *icc;
210 
211   PetscFunctionBegin;
212   ierr = PetscNewLog(pc,PC_ICC,&icc);CHKERRQ(ierr);
213 
214   ((PC_Factor*)icc)->fact	          = 0;
215   ierr = PetscStrallocpy(MATORDERING_NATURAL,&((PC_Factor*)icc)->ordering);CHKERRQ(ierr);
216   ierr = PetscStrallocpy(MAT_SOLVER_PETSC,&((PC_Factor*)icc)->solvertype);CHKERRQ(ierr);
217   ierr = MatFactorInfoInitialize(&((PC_Factor*)icc)->info);CHKERRQ(ierr);
218   ((PC_Factor*)icc)->info.levels	  = 0.;
219   ((PC_Factor*)icc)->info.fill          = 1.0;
220   icc->implctx            = 0;
221 
222   ((PC_Factor*)icc)->info.dtcol       = PETSC_DEFAULT;
223   ((PC_Factor*)icc)->info.shifttype   = MAT_SHIFT_POSITIVE_DEFINITE;
224   ((PC_Factor*)icc)->info.shiftamount = 0.0;
225   ((PC_Factor*)icc)->info.zeropivot   = 1.e-12;
226 
227   pc->data	               = (void*)icc;
228   pc->ops->apply	       = PCApply_ICC;
229   pc->ops->setup               = PCSetup_ICC;
230   pc->ops->destroy	       = PCDestroy_ICC;
231   pc->ops->setfromoptions      = PCSetFromOptions_ICC;
232   pc->ops->view                = PCView_ICC;
233   pc->ops->getfactoredmatrix   = PCFactorGetMatrix_Factor;
234   pc->ops->applysymmetricleft  = PCApplySymmetricLeft_ICC;
235   pc->ops->applysymmetricright = PCApplySymmetricRight_ICC;
236 
237   ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorGetMatSolverPackage_C","PCFactorGetMatSolverPackage_Factor",
238                     PCFactorGetMatSolverPackage_Factor);CHKERRQ(ierr);
239   ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetZeroPivot_C","PCFactorSetZeroPivot_Factor",
240                     PCFactorSetZeroPivot_Factor);CHKERRQ(ierr);
241   ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetShiftType_C","PCFactorSetShiftType_Factor",
242                     PCFactorSetShiftType_Factor);CHKERRQ(ierr);
243   ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetShiftAmount_C","PCFactorSetShiftAmount_Factor",
244                     PCFactorSetShiftAmount_Factor);CHKERRQ(ierr);
245   ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetLevels_C","PCFactorSetLevels_Factor",
246                     PCFactorSetLevels_Factor);CHKERRQ(ierr);
247   ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetFill_C","PCFactorSetFill_Factor",
248                     PCFactorSetFill_Factor);CHKERRQ(ierr);
249   ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetMatOrderingType_C","PCFactorSetMatOrderingType_Factor",
250                     PCFactorSetMatOrderingType_Factor);CHKERRQ(ierr);
251   ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetMatSolverPackage_C","PCFactorSetMatSolverPackage_Factor",
252                     PCFactorSetMatSolverPackage_Factor);CHKERRQ(ierr);
253   ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetDropTolerance_C","PCFactorSetDropTolerance_ILU",
254                     PCFactorSetDropTolerance_ILU);CHKERRQ(ierr);
255   PetscFunctionReturn(0);
256 }
257 EXTERN_C_END
258 
259 
260