Actual source code: da.c
1: #include <petsc/private/dmdaimpl.h>
3: /*@
4: DMDASetSizes - Sets the number of grid points in the three dimensional directions
6: Logically Collective on da
8: Input Parameters:
9: + da - the DMDA
10: . M - the global X size
11: . N - the global Y size
12: - P - the global Z size
14: Level: intermediate
16: Developer Notes:
17: Since the dimension may not yet have been set the code cannot error check for non-positive Y and Z number of grid points
19: .seealso: PetscSplitOwnership()
20: @*/
21: PetscErrorCode DMDASetSizes(DM da, PetscInt M, PetscInt N, PetscInt P)
22: {
23: DM_DA *dd = (DM_DA*)da->data;
30: if (da->setupcalled) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"This function must be called before DMSetUp()");
31: if (M < 1) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_SIZ,"Number of grid points in X direction must be positive");
32: if (N < 0) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_SIZ,"Number of grid points in Y direction must be positive");
33: if (P < 0) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_SIZ,"Number of grid points in Z direction must be positive");
35: dd->M = M;
36: dd->N = N;
37: dd->P = P;
38: return(0);
39: }
41: /*@
42: DMDASetNumProcs - Sets the number of processes in each dimension
44: Logically Collective on da
46: Input Parameters:
47: + da - the DMDA
48: . m - the number of X procs (or PETSC_DECIDE)
49: . n - the number of Y procs (or PETSC_DECIDE)
50: - p - the number of Z procs (or PETSC_DECIDE)
52: Level: intermediate
54: .seealso: DMDASetSizes(), PetscSplitOwnership()
55: @*/
56: PetscErrorCode DMDASetNumProcs(DM da, PetscInt m, PetscInt n, PetscInt p)
57: {
58: DM_DA *dd = (DM_DA*)da->data;
66: if (da->setupcalled) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"This function must be called before DMSetUp()");
67: dd->m = m;
68: dd->n = n;
69: dd->p = p;
70: if (da->dim == 2) {
71: PetscMPIInt size;
72: MPI_Comm_size(PetscObjectComm((PetscObject)da),&size);
73: if ((dd->m > 0) && (dd->n < 0)) {
74: dd->n = size/dd->m;
75: if (dd->n*dd->m != size) SETERRQ2(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_OUTOFRANGE,"%D processes in X direction not divisible into comm size %d",m,size);
76: }
77: if ((dd->n > 0) && (dd->m < 0)) {
78: dd->m = size/dd->n;
79: if (dd->n*dd->m != size) SETERRQ2(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_OUTOFRANGE,"%D processes in Y direction not divisible into comm size %d",n,size);
80: }
81: }
82: return(0);
83: }
85: /*@
86: DMDASetBoundaryType - Sets the type of ghost nodes on domain boundaries.
88: Not collective
90: Input Parameters:
91: + da - The DMDA
92: - bx,by,bz - One of DM_BOUNDARY_NONE, DM_BOUNDARY_GHOSTED, DM_BOUNDARY_PERIODIC
94: Level: intermediate
96: .seealso: DMDACreate(), DMDestroy(), DMDA, DMBoundaryType
97: @*/
98: PetscErrorCode DMDASetBoundaryType(DM da,DMBoundaryType bx,DMBoundaryType by,DMBoundaryType bz)
99: {
100: DM_DA *dd = (DM_DA*)da->data;
107: if (da->setupcalled) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"This function must be called before DMSetUp()");
108: dd->bx = bx;
109: dd->by = by;
110: dd->bz = bz;
111: return(0);
112: }
114: /*@
115: DMDASetDof - Sets the number of degrees of freedom per vertex
117: Not collective
119: Input Parameters:
120: + da - The DMDA
121: - dof - Number of degrees of freedom
123: Level: intermediate
125: .seealso: DMDAGetDof(), DMDACreate(), DMDestroy(), DMDA
126: @*/
127: PetscErrorCode DMDASetDof(DM da, PetscInt dof)
128: {
129: DM_DA *dd = (DM_DA*)da->data;
134: if (da->setupcalled) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"This function must be called before DMSetUp()");
135: dd->w = dof;
136: da->bs = dof;
137: return(0);
138: }
140: /*@
141: DMDAGetDof - Gets the number of degrees of freedom per vertex
143: Not collective
145: Input Parameter:
146: . da - The DMDA
148: Output Parameter:
149: . dof - Number of degrees of freedom
151: Level: intermediate
153: .seealso: DMDASetDof(), DMDACreate(), DMDestroy(), DMDA
154: @*/
155: PetscErrorCode DMDAGetDof(DM da, PetscInt *dof)
156: {
157: DM_DA *dd = (DM_DA *) da->data;
162: *dof = dd->w;
163: return(0);
164: }
166: /*@
167: DMDAGetOverlap - Gets the size of the per-processor overlap.
169: Not collective
171: Input Parameter:
172: . da - The DMDA
174: Output Parameters:
175: + x - Overlap in the x direction
176: . y - Overlap in the y direction
177: - z - Overlap in the z direction
179: Level: intermediate
181: .seealso: DMDACreateDomainDecomposition(), DMDASetOverlap(), DMDA
182: @*/
183: PetscErrorCode DMDAGetOverlap(DM da,PetscInt *x,PetscInt *y,PetscInt *z)
184: {
185: DM_DA *dd = (DM_DA*)da->data;
189: if (x) *x = dd->xol;
190: if (y) *y = dd->yol;
191: if (z) *z = dd->zol;
192: return(0);
193: }
195: /*@
196: DMDASetOverlap - Sets the size of the per-processor overlap.
198: Not collective
200: Input Parameters:
201: + da - The DMDA
202: . x - Overlap in the x direction
203: . y - Overlap in the y direction
204: - z - Overlap in the z direction
206: Level: intermediate
208: .seealso: DMDACreateDomainDecomposition(), DMDAGetOverlap(), DMDA
209: @*/
210: PetscErrorCode DMDASetOverlap(DM da,PetscInt x,PetscInt y,PetscInt z)
211: {
212: DM_DA *dd = (DM_DA*)da->data;
219: dd->xol = x;
220: dd->yol = y;
221: dd->zol = z;
222: return(0);
223: }
225: /*@
226: DMDAGetNumLocalSubDomains - Gets the number of local subdomains created upon decomposition.
228: Not collective
230: Input Parameters:
231: . da - The DMDA
233: Output Parameters:
234: . Nsub - Number of local subdomains created upon decomposition
236: Level: intermediate
238: .seealso: DMDACreateDomainDecomposition(), DMDASetNumLocalSubDomains(), DMDA
239: @*/
240: PetscErrorCode DMDAGetNumLocalSubDomains(DM da,PetscInt *Nsub)
241: {
242: DM_DA *dd = (DM_DA*)da->data;
246: if (Nsub) *Nsub = dd->Nsub;
247: return(0);
248: }
250: /*@
251: DMDASetNumLocalSubDomains - Sets the number of local subdomains created upon decomposition.
253: Not collective
255: Input Parameters:
256: + da - The DMDA
257: - Nsub - The number of local subdomains requested
259: Level: intermediate
261: .seealso: DMDACreateDomainDecomposition(), DMDAGetNumLocalSubDomains(), DMDA
262: @*/
263: PetscErrorCode DMDASetNumLocalSubDomains(DM da,PetscInt Nsub)
264: {
265: DM_DA *dd = (DM_DA*)da->data;
270: dd->Nsub = Nsub;
271: return(0);
272: }
274: /*@
275: DMDASetOffset - Sets the index offset of the DA.
277: Collective on DA
279: Input Parameters:
280: + da - The DMDA
281: . xo - The offset in the x direction
282: . yo - The offset in the y direction
283: - zo - The offset in the z direction
285: Level: intermediate
287: Notes:
288: This is used primarily to overlap a computation on a local DA with that on a global DA without
289: changing boundary conditions or subdomain features that depend upon the global offsets.
291: .seealso: DMDAGetOffset(), DMDAVecGetArray()
292: @*/
293: PetscErrorCode DMDASetOffset(DM da, PetscInt xo, PetscInt yo, PetscInt zo, PetscInt Mo, PetscInt No, PetscInt Po)
294: {
296: DM_DA *dd = (DM_DA*)da->data;
306: dd->xo = xo;
307: dd->yo = yo;
308: dd->zo = zo;
309: dd->Mo = Mo;
310: dd->No = No;
311: dd->Po = Po;
313: if (da->coordinateDM) {
314: DMDASetOffset(da->coordinateDM,xo,yo,zo,Mo,No,Po);
315: }
316: return(0);
317: }
319: /*@
320: DMDAGetOffset - Gets the index offset of the DA.
322: Not collective
324: Input Parameter:
325: . da - The DMDA
327: Output Parameters:
328: + xo - The offset in the x direction
329: . yo - The offset in the y direction
330: . zo - The offset in the z direction
331: . Mo - The global size in the x direction
332: . No - The global size in the y direction
333: - Po - The global size in the z direction
335: Level: intermediate
337: .seealso: DMDASetOffset(), DMDAVecGetArray()
338: @*/
339: PetscErrorCode DMDAGetOffset(DM da,PetscInt *xo,PetscInt *yo,PetscInt *zo,PetscInt *Mo,PetscInt *No,PetscInt *Po)
340: {
341: DM_DA *dd = (DM_DA*)da->data;
345: if (xo) *xo = dd->xo;
346: if (yo) *yo = dd->yo;
347: if (zo) *zo = dd->zo;
348: if (Mo) *Mo = dd->Mo;
349: if (No) *No = dd->No;
350: if (Po) *Po = dd->Po;
351: return(0);
352: }
354: /*@
355: DMDAGetNonOverlappingRegion - Gets the indices of the nonoverlapping region of a subdomain DM.
357: Not collective
359: Input Parameter:
360: . da - The DMDA
362: Output Parameters:
363: + xs - The start of the region in x
364: . ys - The start of the region in y
365: . zs - The start of the region in z
366: . xs - The size of the region in x
367: . ys - The size of the region in y
368: - zs - The size of the region in z
370: Level: intermediate
372: .seealso: DMDAGetOffset(), DMDAVecGetArray()
373: @*/
374: PetscErrorCode DMDAGetNonOverlappingRegion(DM da, PetscInt *xs, PetscInt *ys, PetscInt *zs, PetscInt *xm, PetscInt *ym, PetscInt *zm)
375: {
376: DM_DA *dd = (DM_DA*)da->data;
380: if (xs) *xs = dd->nonxs;
381: if (ys) *ys = dd->nonys;
382: if (zs) *zs = dd->nonzs;
383: if (xm) *xm = dd->nonxm;
384: if (ym) *ym = dd->nonym;
385: if (zm) *zm = dd->nonzm;
386: return(0);
387: }
389: /*@
390: DMDASetNonOverlappingRegion - Sets the indices of the nonoverlapping region of a subdomain DM.
392: Collective on DA
394: Input Parameters:
395: + da - The DMDA
396: . xs - The start of the region in x
397: . ys - The start of the region in y
398: . zs - The start of the region in z
399: . xs - The size of the region in x
400: . ys - The size of the region in y
401: - zs - The size of the region in z
403: Level: intermediate
405: .seealso: DMDAGetOffset(), DMDAVecGetArray()
406: @*/
407: PetscErrorCode DMDASetNonOverlappingRegion(DM da, PetscInt xs, PetscInt ys, PetscInt zs, PetscInt xm, PetscInt ym, PetscInt zm)
408: {
409: DM_DA *dd = (DM_DA*)da->data;
419: dd->nonxs = xs;
420: dd->nonys = ys;
421: dd->nonzs = zs;
422: dd->nonxm = xm;
423: dd->nonym = ym;
424: dd->nonzm = zm;
426: return(0);
427: }
429: /*@
430: DMDASetStencilType - Sets the type of the communication stencil
432: Logically Collective on da
434: Input Parameters:
435: + da - The DMDA
436: - stype - The stencil type, use either DMDA_STENCIL_BOX or DMDA_STENCIL_STAR.
438: Level: intermediate
440: .seealso: DMDACreate(), DMDestroy(), DMDA
441: @*/
442: PetscErrorCode DMDASetStencilType(DM da, DMDAStencilType stype)
443: {
444: DM_DA *dd = (DM_DA*)da->data;
449: if (da->setupcalled) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"This function must be called before DMSetUp()");
450: dd->stencil_type = stype;
451: return(0);
452: }
454: /*@
455: DMDAGetStencilType - Gets the type of the communication stencil
457: Not collective
459: Input Parameter:
460: . da - The DMDA
462: Output Parameter:
463: . stype - The stencil type, use either DMDA_STENCIL_BOX or DMDA_STENCIL_STAR.
465: Level: intermediate
467: .seealso: DMDACreate(), DMDestroy(), DMDA
468: @*/
469: PetscErrorCode DMDAGetStencilType(DM da, DMDAStencilType *stype)
470: {
471: DM_DA *dd = (DM_DA*)da->data;
476: *stype = dd->stencil_type;
477: return(0);
478: }
480: /*@
481: DMDASetStencilWidth - Sets the width of the communication stencil
483: Logically Collective on da
485: Input Parameters:
486: + da - The DMDA
487: - width - The stencil width
489: Level: intermediate
491: .seealso: DMDACreate(), DMDestroy(), DMDA
492: @*/
493: PetscErrorCode DMDASetStencilWidth(DM da, PetscInt width)
494: {
495: DM_DA *dd = (DM_DA*)da->data;
500: if (da->setupcalled) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"This function must be called before DMSetUp()");
501: dd->s = width;
502: return(0);
503: }
505: /*@
506: DMDAGetStencilWidth - Gets the width of the communication stencil
508: Not collective
510: Input Parameter:
511: . da - The DMDA
513: Output Parameter:
514: . width - The stencil width
516: Level: intermediate
518: .seealso: DMDACreate(), DMDestroy(), DMDA
519: @*/
520: PetscErrorCode DMDAGetStencilWidth(DM da, PetscInt *width)
521: {
522: DM_DA *dd = (DM_DA *) da->data;
527: *width = dd->s;
528: return(0);
529: }
531: static PetscErrorCode DMDACheckOwnershipRanges_Private(DM da,PetscInt M,PetscInt m,const PetscInt lx[])
532: {
533: PetscInt i,sum;
536: if (M < 0) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"Global dimension not set");
537: for (i=sum=0; i<m; i++) sum += lx[i];
538: if (sum != M) SETERRQ2(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_INCOMP,"Ownership ranges sum to %D but global dimension is %D",sum,M);
539: return(0);
540: }
542: /*@
543: DMDASetOwnershipRanges - Sets the number of nodes in each direction on each process
545: Logically Collective on da
547: Input Parameters:
548: + da - The DMDA
549: . lx - array containing number of nodes in the X direction on each process, or NULL. If non-null, must be of length da->m
550: . ly - array containing number of nodes in the Y direction on each process, or NULL. If non-null, must be of length da->n
551: - lz - array containing number of nodes in the Z direction on each process, or NULL. If non-null, must be of length da->p.
553: Level: intermediate
555: Note: these numbers are NOT multiplied by the number of dof per node.
557: .seealso: DMDACreate(), DMDestroy(), DMDA
558: @*/
559: PetscErrorCode DMDASetOwnershipRanges(DM da, const PetscInt lx[], const PetscInt ly[], const PetscInt lz[])
560: {
562: DM_DA *dd = (DM_DA*)da->data;
566: if (da->setupcalled) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"This function must be called before DMSetUp()");
567: if (lx) {
568: if (dd->m < 0) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"Cannot set ownership ranges before setting number of procs");
569: DMDACheckOwnershipRanges_Private(da,dd->M,dd->m,lx);
570: if (!dd->lx) {
571: PetscMalloc1(dd->m, &dd->lx);
572: }
573: PetscArraycpy(dd->lx, lx, dd->m);
574: }
575: if (ly) {
576: if (dd->n < 0) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"Cannot set ownership ranges before setting number of procs");
577: DMDACheckOwnershipRanges_Private(da,dd->N,dd->n,ly);
578: if (!dd->ly) {
579: PetscMalloc1(dd->n, &dd->ly);
580: }
581: PetscArraycpy(dd->ly, ly, dd->n);
582: }
583: if (lz) {
584: if (dd->p < 0) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"Cannot set ownership ranges before setting number of procs");
585: DMDACheckOwnershipRanges_Private(da,dd->P,dd->p,lz);
586: if (!dd->lz) {
587: PetscMalloc1(dd->p, &dd->lz);
588: }
589: PetscArraycpy(dd->lz, lz, dd->p);
590: }
591: return(0);
592: }
594: /*@
595: DMDASetInterpolationType - Sets the type of interpolation that will be
596: returned by DMCreateInterpolation()
598: Logically Collective on da
600: Input Parameters:
601: + da - initial distributed array
602: - ctype - DMDA_Q1 and DMDA_Q0 are currently the only supported forms
604: Level: intermediate
606: Notes:
607: you should call this on the coarser of the two DMDAs you pass to DMCreateInterpolation()
609: .seealso: DMDACreate1d(), DMDACreate2d(), DMDACreate3d(), DMDestroy(), DMDA, DMDAInterpolationType
610: @*/
611: PetscErrorCode DMDASetInterpolationType(DM da,DMDAInterpolationType ctype)
612: {
613: DM_DA *dd = (DM_DA*)da->data;
618: dd->interptype = ctype;
619: return(0);
620: }
622: /*@
623: DMDAGetInterpolationType - Gets the type of interpolation that will be
624: used by DMCreateInterpolation()
626: Not Collective
628: Input Parameter:
629: . da - distributed array
631: Output Parameter:
632: . ctype - interpolation type (DMDA_Q1 and DMDA_Q0 are currently the only supported forms)
634: Level: intermediate
636: .seealso: DMDA, DMDAInterpolationType, DMDASetInterpolationType(), DMCreateInterpolation()
637: @*/
638: PetscErrorCode DMDAGetInterpolationType(DM da,DMDAInterpolationType *ctype)
639: {
640: DM_DA *dd = (DM_DA*)da->data;
645: *ctype = dd->interptype;
646: return(0);
647: }
649: /*@C
650: DMDAGetNeighbors - Gets an array containing the MPI rank of all the current
651: processes neighbors.
653: Not Collective
655: Input Parameter:
656: . da - the DMDA object
658: Output Parameters:
659: . ranks - the neighbors ranks, stored with the x index increasing most rapidly.
660: this process itself is in the list
662: Notes:
663: In 2d the array is of length 9, in 3d of length 27
664: Not supported in 1d
665: Do not free the array, it is freed when the DMDA is destroyed.
667: Fortran Notes:
668: In fortran you must pass in an array of the appropriate length.
670: Level: intermediate
672: @*/
673: PetscErrorCode DMDAGetNeighbors(DM da,const PetscMPIInt *ranks[])
674: {
675: DM_DA *dd = (DM_DA*)da->data;
679: *ranks = dd->neighbors;
680: return(0);
681: }
683: /*@C
684: DMDAGetOwnershipRanges - Gets the ranges of indices in the x, y and z direction that are owned by each process
686: Not Collective
688: Input Parameter:
689: . da - the DMDA object
691: Output Parameters:
692: + lx - ownership along x direction (optional)
693: . ly - ownership along y direction (optional)
694: - lz - ownership along z direction (optional)
696: Level: intermediate
698: Note: these correspond to the optional final arguments passed to DMDACreate(), DMDACreate2d(), DMDACreate3d()
700: In Fortran one must pass in arrays lx, ly, and lz that are long enough to hold the values; the sixth, seventh and
701: eighth arguments from DMDAGetInfo()
703: In C you should not free these arrays, nor change the values in them. They will only have valid values while the
704: DMDA they came from still exists (has not been destroyed).
706: These numbers are NOT multiplied by the number of dof per node.
708: .seealso: DMDAGetCorners(), DMDAGetGhostCorners(), DMDACreate(), DMDACreate1d(), DMDACreate2d(), DMDACreate3d(), VecGetOwnershipRanges()
709: @*/
710: PetscErrorCode DMDAGetOwnershipRanges(DM da,const PetscInt *lx[],const PetscInt *ly[],const PetscInt *lz[])
711: {
712: DM_DA *dd = (DM_DA*)da->data;
716: if (lx) *lx = dd->lx;
717: if (ly) *ly = dd->ly;
718: if (lz) *lz = dd->lz;
719: return(0);
720: }
722: /*@
723: DMDASetRefinementFactor - Set the ratios that the DMDA grid is refined
725: Logically Collective on da
727: Input Parameters:
728: + da - the DMDA object
729: . refine_x - ratio of fine grid to coarse in x direction (2 by default)
730: . refine_y - ratio of fine grid to coarse in y direction (2 by default)
731: - refine_z - ratio of fine grid to coarse in z direction (2 by default)
733: Options Database:
734: + -da_refine_x refine_x - refinement ratio in x direction
735: . -da_refine_y rafine_y - refinement ratio in y direction
736: . -da_refine_z refine_z - refinement ratio in z direction
737: - -da_refine <n> - refine the DMDA object n times when it is created.
739: Level: intermediate
741: Notes:
742: Pass PETSC_IGNORE to leave a value unchanged
744: .seealso: DMRefine(), DMDAGetRefinementFactor()
745: @*/
746: PetscErrorCode DMDASetRefinementFactor(DM da, PetscInt refine_x, PetscInt refine_y,PetscInt refine_z)
747: {
748: DM_DA *dd = (DM_DA*)da->data;
756: if (refine_x > 0) dd->refine_x = refine_x;
757: if (refine_y > 0) dd->refine_y = refine_y;
758: if (refine_z > 0) dd->refine_z = refine_z;
759: return(0);
760: }
762: /*@C
763: DMDAGetRefinementFactor - Gets the ratios that the DMDA grid is refined
765: Not Collective
767: Input Parameter:
768: . da - the DMDA object
770: Output Parameters:
771: + refine_x - ratio of fine grid to coarse in x direction (2 by default)
772: . refine_y - ratio of fine grid to coarse in y direction (2 by default)
773: - refine_z - ratio of fine grid to coarse in z direction (2 by default)
775: Level: intermediate
777: Notes:
778: Pass NULL for values you do not need
780: .seealso: DMRefine(), DMDASetRefinementFactor()
781: @*/
782: PetscErrorCode DMDAGetRefinementFactor(DM da, PetscInt *refine_x, PetscInt *refine_y,PetscInt *refine_z)
783: {
784: DM_DA *dd = (DM_DA*)da->data;
788: if (refine_x) *refine_x = dd->refine_x;
789: if (refine_y) *refine_y = dd->refine_y;
790: if (refine_z) *refine_z = dd->refine_z;
791: return(0);
792: }
794: /*@C
795: DMDASetGetMatrix - Sets the routine used by the DMDA to allocate a matrix.
797: Logically Collective on da
799: Input Parameters:
800: + da - the DMDA object
801: - f - the function that allocates the matrix for that specific DMDA
803: Level: developer
805: Notes:
806: See DMDASetBlockFills() that provides a simple way to provide the nonzero structure for
807: the diagonal and off-diagonal blocks of the matrix
809: Not supported from Fortran
811: .seealso: DMCreateMatrix(), DMDASetBlockFills()
812: @*/
813: PetscErrorCode DMDASetGetMatrix(DM da,PetscErrorCode (*f)(DM, Mat*))
814: {
817: da->ops->creatematrix = f;
818: return(0);
819: }
821: /*
822: Creates "balanced" ownership ranges after refinement, constrained by the need for the
823: fine grid boundaries to fall within one stencil width of the coarse partition.
825: Uses a greedy algorithm to handle non-ideal layouts, could probably do something better.
826: */
827: static PetscErrorCode DMDARefineOwnershipRanges(DM da,PetscBool periodic,PetscInt stencil_width,PetscInt ratio,PetscInt m,const PetscInt lc[],PetscInt lf[])
828: {
829: PetscInt i,totalc = 0,remaining,startc = 0,startf = 0;
833: if (ratio < 1) SETERRQ1(PetscObjectComm((PetscObject)da),PETSC_ERR_USER,"Requested refinement ratio %D must be at least 1",ratio);
834: if (ratio == 1) {
835: PetscArraycpy(lf,lc,m);
836: return(0);
837: }
838: for (i=0; i<m; i++) totalc += lc[i];
839: remaining = (!periodic) + ratio * (totalc - (!periodic));
840: for (i=0; i<m; i++) {
841: PetscInt want = remaining/(m-i) + !!(remaining%(m-i));
842: if (i == m-1) lf[i] = want;
843: else {
844: const PetscInt nextc = startc + lc[i];
845: /* Move the first fine node of the next subdomain to the right until the coarse node on its left is within one
846: * coarse stencil width of the first coarse node in the next subdomain. */
847: while ((startf+want)/ratio < nextc - stencil_width) want++;
848: /* Move the last fine node in the current subdomain to the left until the coarse node on its right is within one
849: * coarse stencil width of the last coarse node in the current subdomain. */
850: while ((startf+want-1+ratio-1)/ratio > nextc-1+stencil_width) want--;
851: /* Make sure all constraints are satisfied */
852: if (want < 0 || want > remaining || ((startf+want)/ratio < nextc - stencil_width)
853: || ((startf+want-1+ratio-1)/ratio > nextc-1+stencil_width)) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_SIZ,"Could not find a compatible refined ownership range");
854: }
855: lf[i] = want;
856: startc += lc[i];
857: startf += lf[i];
858: remaining -= lf[i];
859: }
860: return(0);
861: }
863: /*
864: Creates "balanced" ownership ranges after coarsening, constrained by the need for the
865: fine grid boundaries to fall within one stencil width of the coarse partition.
867: Uses a greedy algorithm to handle non-ideal layouts, could probably do something better.
868: */
869: static PetscErrorCode DMDACoarsenOwnershipRanges(DM da,PetscBool periodic,PetscInt stencil_width,PetscInt ratio,PetscInt m,const PetscInt lf[],PetscInt lc[])
870: {
871: PetscInt i,totalf,remaining,startc,startf;
875: if (ratio < 1) SETERRQ1(PetscObjectComm((PetscObject)da),PETSC_ERR_USER,"Requested refinement ratio %D must be at least 1",ratio);
876: if (ratio == 1) {
877: PetscArraycpy(lc,lf,m);
878: return(0);
879: }
880: for (i=0,totalf=0; i<m; i++) totalf += lf[i];
881: remaining = (!periodic) + (totalf - (!periodic)) / ratio;
882: for (i=0,startc=0,startf=0; i<m; i++) {
883: PetscInt want = remaining/(m-i) + !!(remaining%(m-i));
884: if (i == m-1) lc[i] = want;
885: else {
886: const PetscInt nextf = startf+lf[i];
887: /* Slide first coarse node of next subdomain to the left until the coarse node to the left of the first fine
888: * node is within one stencil width. */
889: while (nextf/ratio < startc+want-stencil_width) want--;
890: /* Slide the last coarse node of the current subdomain to the right until the coarse node to the right of the last
891: * fine node is within one stencil width. */
892: while ((nextf-1+ratio-1)/ratio > startc+want-1+stencil_width) want++;
893: if (want < 0 || want > remaining
894: || (nextf/ratio < startc+want-stencil_width) || ((nextf-1+ratio-1)/ratio > startc+want-1+stencil_width)) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_SIZ,"Could not find a compatible coarsened ownership range");
895: }
896: lc[i] = want;
897: startc += lc[i];
898: startf += lf[i];
899: remaining -= lc[i];
900: }
901: return(0);
902: }
904: PetscErrorCode DMRefine_DA(DM da,MPI_Comm comm,DM *daref)
905: {
907: PetscInt M,N,P,i,dim;
908: DM da2;
909: DM_DA *dd = (DM_DA*)da->data,*dd2;
915: DMGetDimension(da, &dim);
916: if (dd->bx == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0) {
917: M = dd->refine_x*dd->M;
918: } else {
919: M = 1 + dd->refine_x*(dd->M - 1);
920: }
921: if (dd->by == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0) {
922: if (dim > 1) {
923: N = dd->refine_y*dd->N;
924: } else {
925: N = 1;
926: }
927: } else {
928: N = 1 + dd->refine_y*(dd->N - 1);
929: }
930: if (dd->bz == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0) {
931: if (dim > 2) {
932: P = dd->refine_z*dd->P;
933: } else {
934: P = 1;
935: }
936: } else {
937: P = 1 + dd->refine_z*(dd->P - 1);
938: }
939: DMDACreate(PetscObjectComm((PetscObject)da),&da2);
940: DMSetOptionsPrefix(da2,((PetscObject)da)->prefix);
941: DMSetDimension(da2,dim);
942: DMDASetSizes(da2,M,N,P);
943: DMDASetNumProcs(da2,dd->m,dd->n,dd->p);
944: DMDASetBoundaryType(da2,dd->bx,dd->by,dd->bz);
945: DMDASetDof(da2,dd->w);
946: DMDASetStencilType(da2,dd->stencil_type);
947: DMDASetStencilWidth(da2,dd->s);
948: if (dim == 3) {
949: PetscInt *lx,*ly,*lz;
950: PetscMalloc3(dd->m,&lx,dd->n,&ly,dd->p,&lz);
951: DMDARefineOwnershipRanges(da,(PetscBool)(dd->bx == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->refine_x,dd->m,dd->lx,lx);
952: DMDARefineOwnershipRanges(da,(PetscBool)(dd->by == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->refine_y,dd->n,dd->ly,ly);
953: DMDARefineOwnershipRanges(da,(PetscBool)(dd->bz == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->refine_z,dd->p,dd->lz,lz);
954: DMDASetOwnershipRanges(da2,lx,ly,lz);
955: PetscFree3(lx,ly,lz);
956: } else if (dim == 2) {
957: PetscInt *lx,*ly;
958: PetscMalloc2(dd->m,&lx,dd->n,&ly);
959: DMDARefineOwnershipRanges(da,(PetscBool)(dd->bx == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->refine_x,dd->m,dd->lx,lx);
960: DMDARefineOwnershipRanges(da,(PetscBool)(dd->by == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->refine_y,dd->n,dd->ly,ly);
961: DMDASetOwnershipRanges(da2,lx,ly,NULL);
962: PetscFree2(lx,ly);
963: } else if (dim == 1) {
964: PetscInt *lx;
965: PetscMalloc1(dd->m,&lx);
966: DMDARefineOwnershipRanges(da,(PetscBool)(dd->bx == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->refine_x,dd->m,dd->lx,lx);
967: DMDASetOwnershipRanges(da2,lx,NULL,NULL);
968: PetscFree(lx);
969: }
970: dd2 = (DM_DA*)da2->data;
972: /* allow overloaded (user replaced) operations to be inherited by refinement clones */
973: da2->ops->creatematrix = da->ops->creatematrix;
974: /* da2->ops->createinterpolation = da->ops->createinterpolation; this causes problem with SNESVI */
975: da2->ops->getcoloring = da->ops->getcoloring;
976: dd2->interptype = dd->interptype;
978: /* copy fill information if given */
979: if (dd->dfill) {
980: PetscMalloc1(dd->dfill[dd->w]+dd->w+1,&dd2->dfill);
981: PetscArraycpy(dd2->dfill,dd->dfill,dd->dfill[dd->w]+dd->w+1);
982: }
983: if (dd->ofill) {
984: PetscMalloc1(dd->ofill[dd->w]+dd->w+1,&dd2->ofill);
985: PetscArraycpy(dd2->ofill,dd->ofill,dd->ofill[dd->w]+dd->w+1);
986: }
987: /* copy the refine information */
988: dd2->coarsen_x = dd2->refine_x = dd->refine_x;
989: dd2->coarsen_y = dd2->refine_y = dd->refine_y;
990: dd2->coarsen_z = dd2->refine_z = dd->refine_z;
992: if (dd->refine_z_hier) {
993: if (da->levelup - da->leveldown + 1 > -1 && da->levelup - da->leveldown + 1 < dd->refine_z_hier_n) {
994: dd2->refine_z = dd->refine_z_hier[da->levelup - da->leveldown + 1];
995: }
996: if (da->levelup - da->leveldown > -1 && da->levelup - da->leveldown < dd->refine_z_hier_n) {
997: dd2->coarsen_z = dd->refine_z_hier[da->levelup - da->leveldown];
998: }
999: dd2->refine_z_hier_n = dd->refine_z_hier_n;
1000: PetscMalloc1(dd2->refine_z_hier_n,&dd2->refine_z_hier);
1001: PetscArraycpy(dd2->refine_z_hier,dd->refine_z_hier,dd2->refine_z_hier_n);
1002: }
1003: if (dd->refine_y_hier) {
1004: if (da->levelup - da->leveldown + 1 > -1 && da->levelup - da->leveldown + 1 < dd->refine_y_hier_n) {
1005: dd2->refine_y = dd->refine_y_hier[da->levelup - da->leveldown + 1];
1006: }
1007: if (da->levelup - da->leveldown > -1 && da->levelup - da->leveldown < dd->refine_y_hier_n) {
1008: dd2->coarsen_y = dd->refine_y_hier[da->levelup - da->leveldown];
1009: }
1010: dd2->refine_y_hier_n = dd->refine_y_hier_n;
1011: PetscMalloc1(dd2->refine_y_hier_n,&dd2->refine_y_hier);
1012: PetscArraycpy(dd2->refine_y_hier,dd->refine_y_hier,dd2->refine_y_hier_n);
1013: }
1014: if (dd->refine_x_hier) {
1015: if (da->levelup - da->leveldown + 1 > -1 && da->levelup - da->leveldown + 1 < dd->refine_x_hier_n) {
1016: dd2->refine_x = dd->refine_x_hier[da->levelup - da->leveldown + 1];
1017: }
1018: if (da->levelup - da->leveldown > -1 && da->levelup - da->leveldown < dd->refine_x_hier_n) {
1019: dd2->coarsen_x = dd->refine_x_hier[da->levelup - da->leveldown];
1020: }
1021: dd2->refine_x_hier_n = dd->refine_x_hier_n;
1022: PetscMalloc1(dd2->refine_x_hier_n,&dd2->refine_x_hier);
1023: PetscArraycpy(dd2->refine_x_hier,dd->refine_x_hier,dd2->refine_x_hier_n);
1024: }
1026: /* copy vector type information */
1027: DMSetVecType(da2,da->vectype);
1029: dd2->lf = dd->lf;
1030: dd2->lj = dd->lj;
1032: da2->leveldown = da->leveldown;
1033: da2->levelup = da->levelup + 1;
1035: DMSetUp(da2);
1037: /* interpolate coordinates if they are set on the coarse grid */
1038: if (da->coordinates) {
1039: DM cdaf,cdac;
1040: Vec coordsc,coordsf;
1041: Mat II;
1043: DMGetCoordinateDM(da,&cdac);
1044: DMGetCoordinates(da,&coordsc);
1045: DMGetCoordinateDM(da2,&cdaf);
1046: /* force creation of the coordinate vector */
1047: DMDASetUniformCoordinates(da2,0.0,1.0,0.0,1.0,0.0,1.0);
1048: DMGetCoordinates(da2,&coordsf);
1049: DMCreateInterpolation(cdac,cdaf,&II,NULL);
1050: MatInterpolate(II,coordsc,coordsf);
1051: MatDestroy(&II);
1052: }
1054: for (i=0; i<da->bs; i++) {
1055: const char *fieldname;
1056: DMDAGetFieldName(da,i,&fieldname);
1057: DMDASetFieldName(da2,i,fieldname);
1058: }
1060: *daref = da2;
1061: return(0);
1062: }
1064: PetscErrorCode DMCoarsen_DA(DM dmf, MPI_Comm comm,DM *dmc)
1065: {
1067: PetscInt M,N,P,i,dim;
1068: DM dmc2;
1069: DM_DA *dd = (DM_DA*)dmf->data,*dd2;
1075: DMGetDimension(dmf, &dim);
1076: if (dd->bx == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0) {
1077: M = dd->M / dd->coarsen_x;
1078: } else {
1079: M = 1 + (dd->M - 1) / dd->coarsen_x;
1080: }
1081: if (dd->by == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0) {
1082: if (dim > 1) {
1083: N = dd->N / dd->coarsen_y;
1084: } else {
1085: N = 1;
1086: }
1087: } else {
1088: N = 1 + (dd->N - 1) / dd->coarsen_y;
1089: }
1090: if (dd->bz == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0) {
1091: if (dim > 2) {
1092: P = dd->P / dd->coarsen_z;
1093: } else {
1094: P = 1;
1095: }
1096: } else {
1097: P = 1 + (dd->P - 1) / dd->coarsen_z;
1098: }
1099: DMDACreate(PetscObjectComm((PetscObject)dmf),&dmc2);
1100: DMSetOptionsPrefix(dmc2,((PetscObject)dmf)->prefix);
1101: DMSetDimension(dmc2,dim);
1102: DMDASetSizes(dmc2,M,N,P);
1103: DMDASetNumProcs(dmc2,dd->m,dd->n,dd->p);
1104: DMDASetBoundaryType(dmc2,dd->bx,dd->by,dd->bz);
1105: DMDASetDof(dmc2,dd->w);
1106: DMDASetStencilType(dmc2,dd->stencil_type);
1107: DMDASetStencilWidth(dmc2,dd->s);
1108: if (dim == 3) {
1109: PetscInt *lx,*ly,*lz;
1110: PetscMalloc3(dd->m,&lx,dd->n,&ly,dd->p,&lz);
1111: DMDACoarsenOwnershipRanges(dmf,(PetscBool)(dd->bx == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->coarsen_x,dd->m,dd->lx,lx);
1112: DMDACoarsenOwnershipRanges(dmf,(PetscBool)(dd->by == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->coarsen_y,dd->n,dd->ly,ly);
1113: DMDACoarsenOwnershipRanges(dmf,(PetscBool)(dd->bz == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->coarsen_z,dd->p,dd->lz,lz);
1114: DMDASetOwnershipRanges(dmc2,lx,ly,lz);
1115: PetscFree3(lx,ly,lz);
1116: } else if (dim == 2) {
1117: PetscInt *lx,*ly;
1118: PetscMalloc2(dd->m,&lx,dd->n,&ly);
1119: DMDACoarsenOwnershipRanges(dmf,(PetscBool)(dd->bx == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->coarsen_x,dd->m,dd->lx,lx);
1120: DMDACoarsenOwnershipRanges(dmf,(PetscBool)(dd->by == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->coarsen_y,dd->n,dd->ly,ly);
1121: DMDASetOwnershipRanges(dmc2,lx,ly,NULL);
1122: PetscFree2(lx,ly);
1123: } else if (dim == 1) {
1124: PetscInt *lx;
1125: PetscMalloc1(dd->m,&lx);
1126: DMDACoarsenOwnershipRanges(dmf,(PetscBool)(dd->bx == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->coarsen_x,dd->m,dd->lx,lx);
1127: DMDASetOwnershipRanges(dmc2,lx,NULL,NULL);
1128: PetscFree(lx);
1129: }
1130: dd2 = (DM_DA*)dmc2->data;
1132: /* allow overloaded (user replaced) operations to be inherited by refinement clones; why are only some inherited and not all? */
1133: /* dmc2->ops->createinterpolation = dmf->ops->createinterpolation; copying this one causes trouble for DMSetVI */
1134: dmc2->ops->creatematrix = dmf->ops->creatematrix;
1135: dmc2->ops->getcoloring = dmf->ops->getcoloring;
1136: dd2->interptype = dd->interptype;
1138: /* copy fill information if given */
1139: if (dd->dfill) {
1140: PetscMalloc1(dd->dfill[dd->w]+dd->w+1,&dd2->dfill);
1141: PetscArraycpy(dd2->dfill,dd->dfill,dd->dfill[dd->w]+dd->w+1);
1142: }
1143: if (dd->ofill) {
1144: PetscMalloc1(dd->ofill[dd->w]+dd->w+1,&dd2->ofill);
1145: PetscArraycpy(dd2->ofill,dd->ofill,dd->ofill[dd->w]+dd->w+1);
1146: }
1147: /* copy the refine information */
1148: dd2->coarsen_x = dd2->refine_x = dd->coarsen_x;
1149: dd2->coarsen_y = dd2->refine_y = dd->coarsen_y;
1150: dd2->coarsen_z = dd2->refine_z = dd->coarsen_z;
1152: if (dd->refine_z_hier) {
1153: if (dmf->levelup - dmf->leveldown -1 > -1 && dmf->levelup - dmf->leveldown - 1< dd->refine_z_hier_n) {
1154: dd2->refine_z = dd->refine_z_hier[dmf->levelup - dmf->leveldown - 1];
1155: }
1156: if (dmf->levelup - dmf->leveldown - 2 > -1 && dmf->levelup - dmf->leveldown - 2 < dd->refine_z_hier_n) {
1157: dd2->coarsen_z = dd->refine_z_hier[dmf->levelup - dmf->leveldown - 2];
1158: }
1159: dd2->refine_z_hier_n = dd->refine_z_hier_n;
1160: PetscMalloc1(dd2->refine_z_hier_n,&dd2->refine_z_hier);
1161: PetscArraycpy(dd2->refine_z_hier,dd->refine_z_hier,dd2->refine_z_hier_n);
1162: }
1163: if (dd->refine_y_hier) {
1164: if (dmf->levelup - dmf->leveldown - 1 > -1 && dmf->levelup - dmf->leveldown - 1< dd->refine_y_hier_n) {
1165: dd2->refine_y = dd->refine_y_hier[dmf->levelup - dmf->leveldown - 1];
1166: }
1167: if (dmf->levelup - dmf->leveldown - 2 > -1 && dmf->levelup - dmf->leveldown - 2 < dd->refine_y_hier_n) {
1168: dd2->coarsen_y = dd->refine_y_hier[dmf->levelup - dmf->leveldown - 2];
1169: }
1170: dd2->refine_y_hier_n = dd->refine_y_hier_n;
1171: PetscMalloc1(dd2->refine_y_hier_n,&dd2->refine_y_hier);
1172: PetscArraycpy(dd2->refine_y_hier,dd->refine_y_hier,dd2->refine_y_hier_n);
1173: }
1174: if (dd->refine_x_hier) {
1175: if (dmf->levelup - dmf->leveldown - 1 > -1 && dmf->levelup - dmf->leveldown - 1 < dd->refine_x_hier_n) {
1176: dd2->refine_x = dd->refine_x_hier[dmf->levelup - dmf->leveldown - 1];
1177: }
1178: if (dmf->levelup - dmf->leveldown - 2 > -1 && dmf->levelup - dmf->leveldown - 2 < dd->refine_x_hier_n) {
1179: dd2->coarsen_x = dd->refine_x_hier[dmf->levelup - dmf->leveldown - 2];
1180: }
1181: dd2->refine_x_hier_n = dd->refine_x_hier_n;
1182: PetscMalloc1(dd2->refine_x_hier_n,&dd2->refine_x_hier);
1183: PetscArraycpy(dd2->refine_x_hier,dd->refine_x_hier,dd2->refine_x_hier_n);
1184: }
1186: /* copy vector type information */
1187: DMSetVecType(dmc2,dmf->vectype);
1189: dd2->lf = dd->lf;
1190: dd2->lj = dd->lj;
1192: dmc2->leveldown = dmf->leveldown + 1;
1193: dmc2->levelup = dmf->levelup;
1195: DMSetUp(dmc2);
1197: /* inject coordinates if they are set on the fine grid */
1198: if (dmf->coordinates) {
1199: DM cdaf,cdac;
1200: Vec coordsc,coordsf;
1201: Mat inject;
1202: VecScatter vscat;
1204: DMGetCoordinateDM(dmf,&cdaf);
1205: DMGetCoordinates(dmf,&coordsf);
1206: DMGetCoordinateDM(dmc2,&cdac);
1207: /* force creation of the coordinate vector */
1208: DMDASetUniformCoordinates(dmc2,0.0,1.0,0.0,1.0,0.0,1.0);
1209: DMGetCoordinates(dmc2,&coordsc);
1211: DMCreateInjection(cdac,cdaf,&inject);
1212: MatScatterGetVecScatter(inject,&vscat);
1213: VecScatterBegin(vscat,coordsf,coordsc,INSERT_VALUES,SCATTER_FORWARD);
1214: VecScatterEnd(vscat,coordsf,coordsc,INSERT_VALUES,SCATTER_FORWARD);
1215: MatDestroy(&inject);
1216: }
1218: for (i=0; i<dmf->bs; i++) {
1219: const char *fieldname;
1220: DMDAGetFieldName(dmf,i,&fieldname);
1221: DMDASetFieldName(dmc2,i,fieldname);
1222: }
1224: *dmc = dmc2;
1225: return(0);
1226: }
1228: PetscErrorCode DMRefineHierarchy_DA(DM da,PetscInt nlevels,DM daf[])
1229: {
1231: PetscInt i,n,*refx,*refy,*refz;
1235: if (nlevels < 0) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_OUTOFRANGE,"nlevels cannot be negative");
1236: if (nlevels == 0) return(0);
1239: /* Get refinement factors, defaults taken from the coarse DMDA */
1240: PetscMalloc3(nlevels,&refx,nlevels,&refy,nlevels,&refz);
1241: for (i=0; i<nlevels; i++) {
1242: DMDAGetRefinementFactor(da,&refx[i],&refy[i],&refz[i]);
1243: }
1244: n = nlevels;
1245: PetscOptionsGetIntArray(((PetscObject)da)->options,((PetscObject)da)->prefix,"-da_refine_hierarchy_x",refx,&n,NULL);
1246: n = nlevels;
1247: PetscOptionsGetIntArray(((PetscObject)da)->options,((PetscObject)da)->prefix,"-da_refine_hierarchy_y",refy,&n,NULL);
1248: n = nlevels;
1249: PetscOptionsGetIntArray(((PetscObject)da)->options,((PetscObject)da)->prefix,"-da_refine_hierarchy_z",refz,&n,NULL);
1251: DMDASetRefinementFactor(da,refx[0],refy[0],refz[0]);
1252: DMRefine(da,PetscObjectComm((PetscObject)da),&daf[0]);
1253: for (i=1; i<nlevels; i++) {
1254: DMDASetRefinementFactor(daf[i-1],refx[i],refy[i],refz[i]);
1255: DMRefine(daf[i-1],PetscObjectComm((PetscObject)da),&daf[i]);
1256: }
1257: PetscFree3(refx,refy,refz);
1258: return(0);
1259: }
1261: PetscErrorCode DMCoarsenHierarchy_DA(DM da,PetscInt nlevels,DM dac[])
1262: {
1264: PetscInt i;
1268: if (nlevels < 0) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_OUTOFRANGE,"nlevels cannot be negative");
1269: if (nlevels == 0) return(0);
1271: DMCoarsen(da,PetscObjectComm((PetscObject)da),&dac[0]);
1272: for (i=1; i<nlevels; i++) {
1273: DMCoarsen(dac[i-1],PetscObjectComm((PetscObject)da),&dac[i]);
1274: }
1275: return(0);
1276: }
1278: PetscErrorCode DMDASetGLLCoordinates_1d(DM dm,PetscInt n,PetscReal *nodes)
1279: {
1281: PetscInt i,j,xs,xn,q;
1282: PetscScalar *xx;
1283: PetscReal h;
1284: Vec x;
1285: DM_DA *da = (DM_DA*)dm->data;
1288: if (da->bx != DM_BOUNDARY_PERIODIC) {
1289: DMDAGetInfo(dm,NULL,&q,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL);
1290: q = (q-1)/(n-1); /* number of spectral elements */
1291: h = 2.0/q;
1292: DMDAGetCorners(dm,&xs,NULL,NULL,&xn,NULL,NULL);
1293: xs = xs/(n-1);
1294: xn = xn/(n-1);
1295: DMDASetUniformCoordinates(dm,-1.,1.,0.,0.,0.,0.);
1296: DMGetCoordinates(dm,&x);
1297: DMDAVecGetArray(dm,x,&xx);
1299: /* loop over local spectral elements */
1300: for (j=xs; j<xs+xn; j++) {
1301: /*
1302: Except for the first process, each process starts on the second GLL point of the first element on that process
1303: */
1304: for (i= (j == xs && xs > 0)? 1 : 0; i<n; i++) {
1305: xx[j*(n-1) + i] = -1.0 + h*j + h*(nodes[i]+1.0)/2.;
1306: }
1307: }
1308: DMDAVecRestoreArray(dm,x,&xx);
1309: } else SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_SUP,"Not yet implemented for periodic");
1310: return(0);
1311: }
1313: /*@
1315: DMDASetGLLCoordinates - Sets the global coordinates from -1 to 1 to the GLL points of as many GLL elements that fit the number of grid points
1317: Collective on da
1319: Input Parameters:
1320: + da - the DMDA object
1321: - n - the number of GLL nodes
1322: - nodes - the GLL nodes
1324: Notes:
1325: the parallel decomposition of grid points must correspond to the degree of the GLL. That is, the number of grid points
1326: on each process much be divisible by the number of GLL elements needed per process. This depends on whether the DM is
1327: periodic or not.
1329: Level: advanced
1331: .seealso: DMDACreate(), PetscDTGaussLobattoLegendreQuadrature(), DMGetCoordinates()
1332: @*/
1333: PetscErrorCode DMDASetGLLCoordinates(DM da,PetscInt n,PetscReal *nodes)
1334: {
1338: if (da->dim == 1) {
1339: DMDASetGLLCoordinates_1d(da,n,nodes);
1340: } else SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_SUP,"Not yet implemented for 2 or 3d");
1341: return(0);
1342: }
1344: PETSC_INTERN PetscErrorCode DMGetCompatibility_DA(DM da1,DM dm2,PetscBool *compatible,PetscBool *set)
1345: {
1347: DM_DA *dd1 = (DM_DA*)da1->data,*dd2;
1348: DM da2;
1349: DMType dmtype2;
1350: PetscBool isda,compatibleLocal;
1351: PetscInt i;
1354: if (!da1->setupcalled) SETERRQ(PetscObjectComm((PetscObject)da1),PETSC_ERR_ARG_WRONGSTATE,"DMSetUp() must be called on first DM before DMGetCompatibility()");
1355: DMGetType(dm2,&dmtype2);
1356: PetscStrcmp(dmtype2,DMDA,&isda);
1357: if (isda) {
1358: da2 = dm2;
1359: dd2 = (DM_DA*)da2->data;
1360: if (!da2->setupcalled) SETERRQ(PetscObjectComm((PetscObject)da2),PETSC_ERR_ARG_WRONGSTATE,"DMSetUp() must be called on second DM before DMGetCompatibility()");
1361: compatibleLocal = (PetscBool)(da1->dim == da2->dim);
1362: if (compatibleLocal) compatibleLocal = (PetscBool)(compatibleLocal && (dd1->s == dd2->s)); /* Stencil width */
1363: /* Global size ranks Boundary type */
1364: if (compatibleLocal) compatibleLocal = (PetscBool)(compatibleLocal && (dd1->M == dd2->M) && (dd1->m == dd2->m) && (dd1->bx == dd2->bx));
1365: if (compatibleLocal && da1->dim > 1) compatibleLocal = (PetscBool)(compatibleLocal && (dd1->N == dd2->N) && (dd1->n == dd2->n) && (dd1->by == dd2->by));
1366: if (compatibleLocal && da1->dim > 2) compatibleLocal = (PetscBool)(compatibleLocal && (dd1->P == dd2->P) && (dd1->p == dd2->p) && (dd1->bz == dd2->bz));
1367: if (compatibleLocal) {
1368: for (i=0; i<dd1->m; ++i) {
1369: compatibleLocal = (PetscBool)(compatibleLocal && (dd1->lx[i] == dd2->lx[i])); /* Local size */
1370: }
1371: }
1372: if (compatibleLocal && da1->dim > 1) {
1373: for (i=0; i<dd1->n; ++i) {
1374: compatibleLocal = (PetscBool)(compatibleLocal && (dd1->ly[i] == dd2->ly[i]));
1375: }
1376: }
1377: if (compatibleLocal && da1->dim > 2) {
1378: for (i=0; i<dd1->p; ++i) {
1379: compatibleLocal = (PetscBool)(compatibleLocal && (dd1->lz[i] == dd2->lz[i]));
1380: }
1381: }
1382: *compatible = compatibleLocal;
1383: *set = PETSC_TRUE;
1384: } else {
1385: /* Decline to determine compatibility with other DM types */
1386: *set = PETSC_FALSE;
1387: }
1388: return(0);
1389: }