xref: /petsc/src/ksp/pc/impls/factor/icc/icc.c (revision 45bfc511327f17f9664eea9fee8d9f549538c00a)
1 #define PETSCKSP_DLL
2 
3 /*
4    Defines a Cholesky factorization preconditioner for any Mat implementation.
5   Presently only provided for MPIRowbs format (i.e. BlockSolve).
6 */
7 
8 #include "src/ksp/pc/impls/factor/icc/icc.h"   /*I "petscpc.h" I*/
9 
10 EXTERN_C_BEGIN
11 #undef __FUNCT__
12 #define __FUNCT__ "PCFactorSetZeroPivot_ICC"
13 PetscErrorCode PETSCKSP_DLLEXPORT PCFactorSetZeroPivot_ICC(PC pc,PetscReal z)
14 {
15   PC_ICC *icc;
16 
17   PetscFunctionBegin;
18   icc                 = (PC_ICC*)pc->data;
19   icc->info.zeropivot = z;
20   PetscFunctionReturn(0);
21 }
22 EXTERN_C_END
23 
24 EXTERN_C_BEGIN
25 #undef __FUNCT__
26 #define __FUNCT__ "PCFactorSetShiftNonzero_ICC"
27 PetscErrorCode PETSCKSP_DLLEXPORT PCFactorSetShiftNonzero_ICC(PC pc,PetscReal shift)
28 {
29   PC_ICC *dir;
30 
31   PetscFunctionBegin;
32   dir = (PC_ICC*)pc->data;
33   if (shift == (PetscReal) PETSC_DECIDE) {
34     dir->info.shiftnz = 1.e-12;
35   } else {
36     dir->info.shiftnz = shift;
37   }
38   PetscFunctionReturn(0);
39 }
40 EXTERN_C_END
41 
42 EXTERN_C_BEGIN
43 #undef __FUNCT__
44 #define __FUNCT__ "PCFactorSetShiftPd_ICC"
45 PetscErrorCode PETSCKSP_DLLEXPORT PCFactorSetShiftPd_ICC(PC pc,PetscTruth shift)
46 {
47   PC_ICC *dir;
48 
49   PetscFunctionBegin;
50   dir = (PC_ICC*)pc->data;
51   dir->info.shiftpd = shift;
52   if (shift) dir->info.shift_fraction = 0.0;
53   PetscFunctionReturn(0);
54 }
55 EXTERN_C_END
56 
57 EXTERN_C_BEGIN
58 #undef __FUNCT__
59 #define __FUNCT__ "PCICCSetMatOrdering_ICC"
60 PetscErrorCode PETSCKSP_DLLEXPORT PCICCSetMatOrdering_ICC(PC pc,MatOrderingType ordering)
61 {
62   PC_ICC         *dir = (PC_ICC*)pc->data;
63   PetscErrorCode ierr;
64 
65   PetscFunctionBegin;
66   ierr = PetscStrfree(dir->ordering);CHKERRQ(ierr);
67   ierr = PetscStrallocpy(ordering,&dir->ordering);CHKERRQ(ierr);
68   PetscFunctionReturn(0);
69 }
70 EXTERN_C_END
71 
72 EXTERN_C_BEGIN
73 #undef __FUNCT__
74 #define __FUNCT__ "PCICCSetFill_ICC"
75 PetscErrorCode PETSCKSP_DLLEXPORT PCICCSetFill_ICC(PC pc,PetscReal fill)
76 {
77   PC_ICC *dir;
78 
79   PetscFunctionBegin;
80   dir            = (PC_ICC*)pc->data;
81   dir->info.fill = fill;
82   PetscFunctionReturn(0);
83 }
84 EXTERN_C_END
85 
86 EXTERN_C_BEGIN
87 #undef __FUNCT__
88 #define __FUNCT__ "PCICCSetLevels_ICC"
89 PetscErrorCode PETSCKSP_DLLEXPORT PCICCSetLevels_ICC(PC pc,PetscInt levels)
90 {
91   PC_ICC *icc;
92 
93   PetscFunctionBegin;
94   icc = (PC_ICC*)pc->data;
95   icc->info.levels = levels;
96   PetscFunctionReturn(0);
97 }
98 EXTERN_C_END
99 
100 #undef __FUNCT__
101 #define __FUNCT__ "PCICCSetMatOrdering"
102 /*@
103     PCICCSetMatOrdering - Sets the ordering routine (to reduce fill) to
104     be used it the ICC factorization.
105 
106     Collective on PC
107 
108     Input Parameters:
109 +   pc - the preconditioner context
110 -   ordering - the matrix ordering name, for example, MATORDERING_ND or MATORDERING_RCM
111 
112     Options Database Key:
113 .   -pc_icc_mat_ordering_type <nd,rcm,...> - Sets ordering routine
114 
115     Level: intermediate
116 
117 .seealso: PCLUSetMatOrdering()
118 
119 .keywords: PC, ICC, set, matrix, reordering
120 
121 @*/
122 PetscErrorCode PETSCKSP_DLLEXPORT PCICCSetMatOrdering(PC pc,MatOrderingType ordering)
123 {
124   PetscErrorCode ierr,(*f)(PC,MatOrderingType);
125 
126   PetscFunctionBegin;
127   PetscValidHeaderSpecific(pc,PC_COOKIE,1);
128   ierr = PetscObjectQueryFunction((PetscObject)pc,"PCICCSetMatOrdering_C",(void (**)(void))&f);CHKERRQ(ierr);
129   if (f) {
130     ierr = (*f)(pc,ordering);CHKERRQ(ierr);
131   }
132   PetscFunctionReturn(0);
133 }
134 
135 #undef __FUNCT__
136 #define __FUNCT__ "PCICCSetLevels"
137 /*@
138    PCICCSetLevels - Sets the number of levels of fill to use.
139 
140    Collective on PC
141 
142    Input Parameters:
143 +  pc - the preconditioner context
144 -  levels - number of levels of fill
145 
146    Options Database Key:
147 .  -pc_icc_levels <levels> - Sets fill level
148 
149    Level: intermediate
150 
151    Concepts: ICC^setting levels of fill
152 
153 @*/
154 PetscErrorCode PETSCKSP_DLLEXPORT PCICCSetLevels(PC pc,PetscInt levels)
155 {
156   PetscErrorCode ierr,(*f)(PC,PetscInt);
157 
158   PetscFunctionBegin;
159   PetscValidHeaderSpecific(pc,PC_COOKIE,1);
160   if (levels < 0) SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,"negative levels");
161   ierr = PetscObjectQueryFunction((PetscObject)pc,"PCICCSetLevels_C",(void (**)(void))&f);CHKERRQ(ierr);
162   if (f) {
163     ierr = (*f)(pc,levels);CHKERRQ(ierr);
164   }
165   PetscFunctionReturn(0);
166 }
167 
168 #undef __FUNCT__
169 #define __FUNCT__ "PCICCSetFill"
170 /*@
171    PCICCSetFill - Indicate the amount of fill you expect in the factored matrix,
172    where fill = number nonzeros in factor/number nonzeros in original matrix.
173 
174    Collective on PC
175 
176    Input Parameters:
177 +  pc - the preconditioner context
178 -  fill - amount of expected fill
179 
180    Options Database Key:
181 $  -pc_icc_fill <fill>
182 
183    Note:
184    For sparse matrix factorizations it is difficult to predict how much
185    fill to expect. By running with the option -log_info PETSc will print the
186    actual amount of fill used; allowing you to set the value accurately for
187    future runs. But default PETSc uses a value of 1.0
188 
189    Level: intermediate
190 
191 .keywords: PC, set, factorization, direct, fill
192 
193 .seealso: PCLUSetFill()
194 @*/
195 PetscErrorCode PETSCKSP_DLLEXPORT PCICCSetFill(PC pc,PetscReal fill)
196 {
197   PetscErrorCode ierr,(*f)(PC,PetscReal);
198 
199   PetscFunctionBegin;
200   PetscValidHeaderSpecific(pc,PC_COOKIE,1);
201   if (fill < 1.0) SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,"Fill factor cannot be less than 1.0");
202   ierr = PetscObjectQueryFunction((PetscObject)pc,"PCICCSetFill_C",(void (**)(void))&f);CHKERRQ(ierr);
203   if (f) {
204     ierr = (*f)(pc,fill);CHKERRQ(ierr);
205   }
206   PetscFunctionReturn(0);
207 }
208 
209 #undef __FUNCT__
210 #define __FUNCT__ "PCSetup_ICC"
211 static PetscErrorCode PCSetup_ICC(PC pc)
212 {
213   PC_ICC         *icc = (PC_ICC*)pc->data;
214   IS             perm,cperm;
215   PetscErrorCode ierr;
216 
217   PetscFunctionBegin;
218   ierr = MatGetOrdering(pc->pmat,icc->ordering,&perm,&cperm);CHKERRQ(ierr);
219 
220   if (!pc->setupcalled) {
221     ierr = MatICCFactorSymbolic(pc->pmat,perm,&icc->info,&icc->fact);CHKERRQ(ierr);
222   } else if (pc->flag != SAME_NONZERO_PATTERN) {
223     ierr = MatDestroy(icc->fact);CHKERRQ(ierr);
224     ierr = MatICCFactorSymbolic(pc->pmat,perm,&icc->info,&icc->fact);CHKERRQ(ierr);
225   }
226   ierr = ISDestroy(cperm);CHKERRQ(ierr);
227   ierr = ISDestroy(perm);CHKERRQ(ierr);
228   ierr = MatCholeskyFactorNumeric(pc->pmat,&icc->info,&icc->fact);CHKERRQ(ierr);
229   PetscFunctionReturn(0);
230 }
231 
232 #undef __FUNCT__
233 #define __FUNCT__ "PCDestroy_ICC"
234 static PetscErrorCode PCDestroy_ICC(PC pc)
235 {
236   PC_ICC         *icc = (PC_ICC*)pc->data;
237   PetscErrorCode ierr;
238 
239   PetscFunctionBegin;
240   if (icc->fact) {ierr = MatDestroy(icc->fact);CHKERRQ(ierr);}
241   ierr = PetscStrfree(icc->ordering);CHKERRQ(ierr);
242   ierr = PetscFree(icc);CHKERRQ(ierr);
243   PetscFunctionReturn(0);
244 }
245 
246 #undef __FUNCT__
247 #define __FUNCT__ "PCApply_ICC"
248 static PetscErrorCode PCApply_ICC(PC pc,Vec x,Vec y)
249 {
250   PC_ICC         *icc = (PC_ICC*)pc->data;
251   PetscErrorCode ierr;
252 
253   PetscFunctionBegin;
254   ierr = MatSolve(icc->fact,x,y);CHKERRQ(ierr);
255   PetscFunctionReturn(0);
256 }
257 
258 #undef __FUNCT__
259 #define __FUNCT__ "PCApplySymmetricLeft_ICC"
260 static PetscErrorCode PCApplySymmetricLeft_ICC(PC pc,Vec x,Vec y)
261 {
262   PetscErrorCode ierr;
263   PC_ICC         *icc = (PC_ICC*)pc->data;
264 
265   PetscFunctionBegin;
266   ierr = MatForwardSolve(icc->fact,x,y);CHKERRQ(ierr);
267   PetscFunctionReturn(0);
268 }
269 
270 #undef __FUNCT__
271 #define __FUNCT__ "PCApplySymmetricRight_ICC"
272 static PetscErrorCode PCApplySymmetricRight_ICC(PC pc,Vec x,Vec y)
273 {
274   PetscErrorCode ierr;
275   PC_ICC         *icc = (PC_ICC*)pc->data;
276 
277   PetscFunctionBegin;
278   ierr = MatBackwardSolve(icc->fact,x,y);CHKERRQ(ierr);
279   PetscFunctionReturn(0);
280 }
281 
282 #undef __FUNCT__
283 #define __FUNCT__ "PCGetFactoredMatrix_ICC"
284 static PetscErrorCode PCGetFactoredMatrix_ICC(PC pc,Mat *mat)
285 {
286   PC_ICC *icc = (PC_ICC*)pc->data;
287 
288   PetscFunctionBegin;
289   *mat = icc->fact;
290   PetscFunctionReturn(0);
291 }
292 
293 #undef __FUNCT__
294 #define __FUNCT__ "PCSetFromOptions_ICC"
295 static PetscErrorCode PCSetFromOptions_ICC(PC pc)
296 {
297   PC_ICC         *icc = (PC_ICC*)pc->data;
298   char           tname[256];
299   PetscTruth     flg;
300   PetscErrorCode ierr;
301   PetscFList     ordlist;
302 
303   PetscFunctionBegin;
304   ierr = MatOrderingRegisterAll(PETSC_NULL);CHKERRQ(ierr);
305   ierr = PetscOptionsHead("ICC Options");CHKERRQ(ierr);
306     ierr = PetscOptionsReal("-pc_icc_levels","levels of fill","PCICCSetLevels",icc->info.levels,&icc->info.levels,&flg);CHKERRQ(ierr);
307     ierr = PetscOptionsReal("-pc_icc_fill","Expected fill in factorization","PCICCSetFill",icc->info.fill,&icc->info.fill,&flg);CHKERRQ(ierr);
308     ierr = MatGetOrderingList(&ordlist);CHKERRQ(ierr);
309     ierr = PetscOptionsList("-pc_icc_mat_ordering_type","Reorder to reduce nonzeros in ICC","PCICCSetMatOrdering",ordlist,icc->ordering,tname,256,&flg);CHKERRQ(ierr);
310     if (flg) {
311       ierr = PCICCSetMatOrdering(pc,tname);CHKERRQ(ierr);
312     }
313     ierr = PetscOptionsName("-pc_factor_shift_nonzero","Shift added to diagonal","PCFactorSetShiftNonzero",&flg);CHKERRQ(ierr);
314     if (flg) {
315       ierr = PCFactorSetShiftNonzero(pc,(PetscReal)PETSC_DECIDE);CHKERRQ(ierr);
316     }
317     ierr = PetscOptionsReal("-pc_factor_shift_nonzero","Shift added to diagonal","PCFactorSetShiftNonzero",icc->info.shiftnz,&icc->info.shiftnz,0);CHKERRQ(ierr);
318     ierr = PetscOptionsName("-pc_factor_shift_positive_definite","Manteuffel shift applied to diagonal","PCICCSetShift",&flg);CHKERRQ(ierr);
319     if (flg) {
320       ierr = PCFactorSetShiftPd(pc,PETSC_TRUE);CHKERRQ(ierr);
321     } else {
322       ierr = PCFactorSetShiftPd(pc,PETSC_FALSE);CHKERRQ(ierr);
323     }
324     ierr = PetscOptionsReal("-pc_factor_zeropivot","Pivot is considered zero if less than","PCFactorSetZeroPivot",icc->info.zeropivot,&icc->info.zeropivot,0);CHKERRQ(ierr);
325 
326   ierr = PetscOptionsTail();CHKERRQ(ierr);
327   PetscFunctionReturn(0);
328 }
329 
330 #undef __FUNCT__
331 #define __FUNCT__ "PCView_ICC"
332 static PetscErrorCode PCView_ICC(PC pc,PetscViewer viewer)
333 {
334   PC_ICC         *icc = (PC_ICC*)pc->data;
335   PetscErrorCode ierr;
336   PetscTruth     isstring,iascii;
337 
338   PetscFunctionBegin;
339   ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_STRING,&isstring);CHKERRQ(ierr);
340   ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_ASCII,&iascii);CHKERRQ(ierr);
341   if (iascii) {
342     if (icc->info.levels == 1) {
343         ierr = PetscViewerASCIIPrintf(viewer,"  ICC: %D level of fill\n",(PetscInt)icc->info.levels);CHKERRQ(ierr);
344     } else {
345         ierr = PetscViewerASCIIPrintf(viewer,"  ICC: %D levels of fill\n",(PetscInt)icc->info.levels);CHKERRQ(ierr);
346     }
347     ierr = PetscViewerASCIIPrintf(viewer,"  ICC: max fill ratio allocated %g\n",icc->info.fill);CHKERRQ(ierr);
348     if (icc->info.shiftpd) {ierr = PetscViewerASCIIPrintf(viewer,"  ICC: using Manteuffel shift\n");CHKERRQ(ierr);}
349   } else if (isstring) {
350     ierr = PetscViewerStringSPrintf(viewer," lvls=%D",(PetscInt)icc->info.levels);CHKERRQ(ierr);CHKERRQ(ierr);
351   } else {
352     SETERRQ1(PETSC_ERR_SUP,"Viewer type %s not supported for PCICC",((PetscObject)viewer)->type_name);
353   }
354   PetscFunctionReturn(0);
355 }
356 
357 /*MC
358      PCICC - Incomplete Cholesky factorization preconditioners.
359 
360    Options Database Keys:
361 +  -pc_icc_levels <k> - number of levels of fill for ICC(k)
362 .  -pc_icc_in_place - only for ICC(0) with natural ordering, reuses the space of the matrix for
363                       its factorization (overwrites original matrix)
364 .  -pc_icc_fill <nfill> - expected amount of fill in factored matrix compared to original matrix, nfill > 1
365 -  -pc_icc_mat_ordering_type <natural,nd,1wd,rcm,qmd> - set the row/column ordering of the factored matrix
366 
367    Level: beginner
368 
369   Concepts: incomplete Cholesky factorization
370 
371    Notes: Only implemented for some matrix formats. Not implemented in parallel
372 
373           For BAIJ matrices this implements a point block ICC.
374 
375           The Manteuffel shift is only implemented for matrices with block size 1
376 
377           By default, the Manteuffel is applied (for matrices with block size 1). Call PCICCSetShift(pc,PETSC_FALSE);
378           to turn off the shift.
379 
380 
381 .seealso:  PCCreate(), PCSetType(), PCType (for list of available types), PC, PCSOR, MatOrderingType,
382            PCFactorSetZeroPivot(), PCFactorSetShiftNonzero(), PCFactorSetShiftPd(),
383            PCICCSetFill(), PCICCSetMatOrdering(), PCICCSetReuseOrdering(),
384            PCICCSetLevels()
385 
386 M*/
387 
388 EXTERN_C_BEGIN
389 #undef __FUNCT__
390 #define __FUNCT__ "PCCreate_ICC"
391 PetscErrorCode PETSCKSP_DLLEXPORT PCCreate_ICC(PC pc)
392 {
393   PetscErrorCode ierr;
394   PC_ICC         *icc;
395 
396   PetscFunctionBegin;
397   ierr = PetscNew(PC_ICC,&icc);CHKERRQ(ierr);
398   ierr = PetscLogObjectMemory(pc,sizeof(PC_ICC));CHKERRQ(ierr);
399 
400   icc->fact	          = 0;
401   ierr = PetscStrallocpy(MATORDERING_NATURAL,&icc->ordering);CHKERRQ(ierr);
402   ierr = MatFactorInfoInitialize(&icc->info);CHKERRQ(ierr);
403   icc->info.levels	  = 0;
404   icc->info.fill          = 1.0;
405   icc->implctx            = 0;
406 
407   icc->info.dtcol              = PETSC_DEFAULT;
408   icc->info.shiftnz            = 0.0;
409   icc->info.shiftpd            = PETSC_TRUE;
410   icc->info.shift_fraction     = 0.0;
411   icc->info.zeropivot          = 1.e-12;
412   pc->data	               = (void*)icc;
413 
414   pc->ops->apply	       = PCApply_ICC;
415   pc->ops->setup               = PCSetup_ICC;
416   pc->ops->destroy	       = PCDestroy_ICC;
417   pc->ops->setfromoptions      = PCSetFromOptions_ICC;
418   pc->ops->view                = PCView_ICC;
419   pc->ops->getfactoredmatrix   = PCGetFactoredMatrix_ICC;
420   pc->ops->applysymmetricleft  = PCApplySymmetricLeft_ICC;
421   pc->ops->applysymmetricright = PCApplySymmetricRight_ICC;
422 
423   ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetZeroPivot_C","PCFactorSetZeroPivot_ICC",
424                     PCFactorSetZeroPivot_ICC);CHKERRQ(ierr);
425   ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetShiftNonzero_C","PCFactorSetShiftNonzero_ICC",
426                     PCFactorSetShiftNonzero_ICC);CHKERRQ(ierr);
427   ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetShiftPd_C","PCFactorSetShiftPd_ICC",
428                     PCFactorSetShiftPd_ICC);CHKERRQ(ierr);
429 
430   ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCICCSetLevels_C","PCICCSetLevels_ICC",
431                     PCICCSetLevels_ICC);CHKERRQ(ierr);
432   ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCICCSetFill_C","PCICCSetFill_ICC",
433                     PCICCSetFill_ICC);CHKERRQ(ierr);
434   ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCICCSetMatOrdering_C","PCICCSetMatOrdering_ICC",
435                     PCICCSetMatOrdering_ICC);CHKERRQ(ierr);
436   PetscFunctionReturn(0);
437 }
438 EXTERN_C_END
439 
440 
441