1 #include <petsc/private/dmdaimpl.h> /*I "petscdmda.h" I*/ 2 3 /*@ 4 DMDASetSizes - Sets the number of grid points in the three dimensional directions 5 6 Logically Collective on da 7 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 13 14 Level: intermediate 15 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 18 19 .seealso: `PetscSplitOwnership()` 20 @*/ 21 PetscErrorCode DMDASetSizes(DM da, PetscInt M, PetscInt N, PetscInt P) 22 { 23 DM_DA *dd = (DM_DA*)da->data; 24 25 PetscFunctionBegin; 26 PetscValidHeaderSpecificType(da, DM_CLASSID, 1,DMDA); 27 PetscValidLogicalCollectiveInt(da,M,2); 28 PetscValidLogicalCollectiveInt(da,N,3); 29 PetscValidLogicalCollectiveInt(da,P,4); 30 PetscCheck(!da->setupcalled,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"This function must be called before DMSetUp()"); 31 PetscCheck(M >= 0,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_SIZ,"Number of grid points in X direction must be positive"); 32 PetscCheck(N >= 0,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_SIZ,"Number of grid points in Y direction must be positive"); 33 PetscCheck(P >= 0,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_SIZ,"Number of grid points in Z direction must be positive"); 34 35 dd->M = M; 36 dd->N = N; 37 dd->P = P; 38 PetscFunctionReturn(0); 39 } 40 41 /*@ 42 DMDASetNumProcs - Sets the number of processes in each dimension 43 44 Logically Collective on da 45 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) 51 52 Level: intermediate 53 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; 59 60 PetscFunctionBegin; 61 PetscValidHeaderSpecificType(da, DM_CLASSID, 1,DMDA); 62 PetscValidLogicalCollectiveInt(da,m,2); 63 PetscValidLogicalCollectiveInt(da,n,3); 64 PetscValidLogicalCollectiveInt(da,p,4); 65 PetscCheck(!da->setupcalled,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"This function must be called before DMSetUp()"); 66 dd->m = m; 67 dd->n = n; 68 dd->p = p; 69 if (da->dim == 2) { 70 PetscMPIInt size; 71 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)da),&size)); 72 if ((dd->m > 0) && (dd->n < 0)) { 73 dd->n = size/dd->m; 74 PetscCheck(dd->n*dd->m == size,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_OUTOFRANGE,"%" PetscInt_FMT " processes in X direction not divisible into comm size %d",m,size); 75 } 76 if ((dd->n > 0) && (dd->m < 0)) { 77 dd->m = size/dd->n; 78 PetscCheck(dd->n*dd->m == size,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_OUTOFRANGE,"%" PetscInt_FMT " processes in Y direction not divisible into comm size %d",n,size); 79 } 80 } 81 PetscFunctionReturn(0); 82 } 83 84 /*@ 85 DMDASetBoundaryType - Sets the type of ghost nodes on domain boundaries. 86 87 Not collective 88 89 Input Parameters: 90 + da - The DMDA 91 - bx,by,bz - One of DM_BOUNDARY_NONE, DM_BOUNDARY_GHOSTED, DM_BOUNDARY_PERIODIC 92 93 Level: intermediate 94 95 .seealso: `DMDACreate()`, `DMDestroy()`, `DMDA`, `DMBoundaryType` 96 @*/ 97 PetscErrorCode DMDASetBoundaryType(DM da,DMBoundaryType bx,DMBoundaryType by,DMBoundaryType bz) 98 { 99 DM_DA *dd = (DM_DA*)da->data; 100 101 PetscFunctionBegin; 102 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 103 PetscValidLogicalCollectiveEnum(da,bx,2); 104 PetscValidLogicalCollectiveEnum(da,by,3); 105 PetscValidLogicalCollectiveEnum(da,bz,4); 106 PetscCheck(!da->setupcalled,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"This function must be called before DMSetUp()"); 107 dd->bx = bx; 108 dd->by = by; 109 dd->bz = bz; 110 PetscFunctionReturn(0); 111 } 112 113 /*@ 114 DMDASetDof - Sets the number of degrees of freedom per vertex 115 116 Not collective 117 118 Input Parameters: 119 + da - The DMDA 120 - dof - Number of degrees of freedom 121 122 Level: intermediate 123 124 .seealso: `DMDAGetDof()`, `DMDACreate()`, `DMDestroy()`, `DMDA` 125 @*/ 126 PetscErrorCode DMDASetDof(DM da, PetscInt dof) 127 { 128 DM_DA *dd = (DM_DA*)da->data; 129 130 PetscFunctionBegin; 131 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 132 PetscValidLogicalCollectiveInt(da,dof,2); 133 PetscCheck(!da->setupcalled,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"This function must be called before DMSetUp()"); 134 dd->w = dof; 135 da->bs = dof; 136 PetscFunctionReturn(0); 137 } 138 139 /*@ 140 DMDAGetDof - Gets the number of degrees of freedom per vertex 141 142 Not collective 143 144 Input Parameter: 145 . da - The DMDA 146 147 Output Parameter: 148 . dof - Number of degrees of freedom 149 150 Level: intermediate 151 152 .seealso: `DMDASetDof()`, `DMDACreate()`, `DMDestroy()`, `DMDA` 153 @*/ 154 PetscErrorCode DMDAGetDof(DM da, PetscInt *dof) 155 { 156 DM_DA *dd = (DM_DA *) da->data; 157 158 PetscFunctionBegin; 159 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 160 PetscValidIntPointer(dof,2); 161 *dof = dd->w; 162 PetscFunctionReturn(0); 163 } 164 165 /*@ 166 DMDAGetOverlap - Gets the size of the per-processor overlap. 167 168 Not collective 169 170 Input Parameter: 171 . da - The DMDA 172 173 Output Parameters: 174 + x - Overlap in the x direction 175 . y - Overlap in the y direction 176 - z - Overlap in the z direction 177 178 Level: intermediate 179 180 .seealso: `DMCreateDomainDecomposition()`, `DMDASetOverlap()`, `DMDA` 181 @*/ 182 PetscErrorCode DMDAGetOverlap(DM da,PetscInt *x,PetscInt *y,PetscInt *z) 183 { 184 DM_DA *dd = (DM_DA*)da->data; 185 186 PetscFunctionBegin; 187 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 188 if (x) *x = dd->xol; 189 if (y) *y = dd->yol; 190 if (z) *z = dd->zol; 191 PetscFunctionReturn(0); 192 } 193 194 /*@ 195 DMDASetOverlap - Sets the size of the per-processor overlap. 196 197 Not collective 198 199 Input Parameters: 200 + da - The DMDA 201 . x - Overlap in the x direction 202 . y - Overlap in the y direction 203 - z - Overlap in the z direction 204 205 Level: intermediate 206 207 .seealso: `DMCreateDomainDecomposition()`, `DMDAGetOverlap()`, `DMDA` 208 @*/ 209 PetscErrorCode DMDASetOverlap(DM da,PetscInt x,PetscInt y,PetscInt z) 210 { 211 DM_DA *dd = (DM_DA*)da->data; 212 213 PetscFunctionBegin; 214 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 215 PetscValidLogicalCollectiveInt(da,x,2); 216 PetscValidLogicalCollectiveInt(da,y,3); 217 PetscValidLogicalCollectiveInt(da,z,4); 218 dd->xol = x; 219 dd->yol = y; 220 dd->zol = z; 221 PetscFunctionReturn(0); 222 } 223 224 /*@ 225 DMDAGetNumLocalSubDomains - Gets the number of local subdomains created upon decomposition. 226 227 Not collective 228 229 Input Parameters: 230 . da - The DMDA 231 232 Output Parameters: 233 . Nsub - Number of local subdomains created upon decomposition 234 235 Level: intermediate 236 237 .seealso: `DMCreateDomainDecomposition()`, `DMDASetNumLocalSubDomains()`, `DMDA` 238 @*/ 239 PetscErrorCode DMDAGetNumLocalSubDomains(DM da,PetscInt *Nsub) 240 { 241 DM_DA *dd = (DM_DA*)da->data; 242 243 PetscFunctionBegin; 244 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 245 if (Nsub) *Nsub = dd->Nsub; 246 PetscFunctionReturn(0); 247 } 248 249 /*@ 250 DMDASetNumLocalSubDomains - Sets the number of local subdomains created upon decomposition. 251 252 Not collective 253 254 Input Parameters: 255 + da - The DMDA 256 - Nsub - The number of local subdomains requested 257 258 Level: intermediate 259 260 .seealso: `DMCreateDomainDecomposition()`, `DMDAGetNumLocalSubDomains()`, `DMDA` 261 @*/ 262 PetscErrorCode DMDASetNumLocalSubDomains(DM da,PetscInt Nsub) 263 { 264 DM_DA *dd = (DM_DA*)da->data; 265 266 PetscFunctionBegin; 267 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 268 PetscValidLogicalCollectiveInt(da,Nsub,2); 269 dd->Nsub = Nsub; 270 PetscFunctionReturn(0); 271 } 272 273 /*@ 274 DMDASetOffset - Sets the index offset of the DA. 275 276 Collective on DA 277 278 Input Parameters: 279 + da - The DMDA 280 . xo - The offset in the x direction 281 . yo - The offset in the y direction 282 - zo - The offset in the z direction 283 284 Level: intermediate 285 286 Notes: 287 This is used primarily to overlap a computation on a local DA with that on a global DA without 288 changing boundary conditions or subdomain features that depend upon the global offsets. 289 290 .seealso: `DMDAGetOffset()`, `DMDAVecGetArray()` 291 @*/ 292 PetscErrorCode DMDASetOffset(DM da, PetscInt xo, PetscInt yo, PetscInt zo, PetscInt Mo, PetscInt No, PetscInt Po) 293 { 294 DM_DA *dd = (DM_DA*)da->data; 295 296 PetscFunctionBegin; 297 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 298 PetscValidLogicalCollectiveInt(da,xo,2); 299 PetscValidLogicalCollectiveInt(da,yo,3); 300 PetscValidLogicalCollectiveInt(da,zo,4); 301 PetscValidLogicalCollectiveInt(da,Mo,5); 302 PetscValidLogicalCollectiveInt(da,No,6); 303 PetscValidLogicalCollectiveInt(da,Po,7); 304 dd->xo = xo; 305 dd->yo = yo; 306 dd->zo = zo; 307 dd->Mo = Mo; 308 dd->No = No; 309 dd->Po = Po; 310 311 if (da->coordinates[0].dm) PetscCall(DMDASetOffset(da->coordinates[0].dm,xo,yo,zo,Mo,No,Po)); 312 PetscFunctionReturn(0); 313 } 314 315 /*@ 316 DMDAGetOffset - Gets the index offset of the DA. 317 318 Not collective 319 320 Input Parameter: 321 . da - The DMDA 322 323 Output Parameters: 324 + xo - The offset in the x direction 325 . yo - The offset in the y direction 326 . zo - The offset in the z direction 327 . Mo - The global size in the x direction 328 . No - The global size in the y direction 329 - Po - The global size in the z direction 330 331 Level: intermediate 332 333 .seealso: `DMDASetOffset()`, `DMDAVecGetArray()` 334 @*/ 335 PetscErrorCode DMDAGetOffset(DM da,PetscInt *xo,PetscInt *yo,PetscInt *zo,PetscInt *Mo,PetscInt *No,PetscInt *Po) 336 { 337 DM_DA *dd = (DM_DA*)da->data; 338 339 PetscFunctionBegin; 340 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 341 if (xo) *xo = dd->xo; 342 if (yo) *yo = dd->yo; 343 if (zo) *zo = dd->zo; 344 if (Mo) *Mo = dd->Mo; 345 if (No) *No = dd->No; 346 if (Po) *Po = dd->Po; 347 PetscFunctionReturn(0); 348 } 349 350 /*@ 351 DMDAGetNonOverlappingRegion - Gets the indices of the nonoverlapping region of a subdomain DM. 352 353 Not collective 354 355 Input Parameter: 356 . da - The DMDA 357 358 Output Parameters: 359 + xs - The start of the region in x 360 . ys - The start of the region in y 361 . zs - The start of the region in z 362 . xs - The size of the region in x 363 . ys - The size of the region in y 364 - zs - The size of the region in z 365 366 Level: intermediate 367 368 .seealso: `DMDAGetOffset()`, `DMDAVecGetArray()` 369 @*/ 370 PetscErrorCode DMDAGetNonOverlappingRegion(DM da, PetscInt *xs, PetscInt *ys, PetscInt *zs, PetscInt *xm, PetscInt *ym, PetscInt *zm) 371 { 372 DM_DA *dd = (DM_DA*)da->data; 373 374 PetscFunctionBegin; 375 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 376 if (xs) *xs = dd->nonxs; 377 if (ys) *ys = dd->nonys; 378 if (zs) *zs = dd->nonzs; 379 if (xm) *xm = dd->nonxm; 380 if (ym) *ym = dd->nonym; 381 if (zm) *zm = dd->nonzm; 382 PetscFunctionReturn(0); 383 } 384 385 /*@ 386 DMDASetNonOverlappingRegion - Sets the indices of the nonoverlapping region of a subdomain DM. 387 388 Collective on DA 389 390 Input Parameters: 391 + da - The DMDA 392 . xs - The start of the region in x 393 . ys - The start of the region in y 394 . zs - The start of the region in z 395 . xs - The size of the region in x 396 . ys - The size of the region in y 397 - zs - The size of the region in z 398 399 Level: intermediate 400 401 .seealso: `DMDAGetOffset()`, `DMDAVecGetArray()` 402 @*/ 403 PetscErrorCode DMDASetNonOverlappingRegion(DM da, PetscInt xs, PetscInt ys, PetscInt zs, PetscInt xm, PetscInt ym, PetscInt zm) 404 { 405 DM_DA *dd = (DM_DA*)da->data; 406 407 PetscFunctionBegin; 408 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 409 PetscValidLogicalCollectiveInt(da,xs,2); 410 PetscValidLogicalCollectiveInt(da,ys,3); 411 PetscValidLogicalCollectiveInt(da,zs,4); 412 PetscValidLogicalCollectiveInt(da,xm,5); 413 PetscValidLogicalCollectiveInt(da,ym,6); 414 PetscValidLogicalCollectiveInt(da,zm,7); 415 dd->nonxs = xs; 416 dd->nonys = ys; 417 dd->nonzs = zs; 418 dd->nonxm = xm; 419 dd->nonym = ym; 420 dd->nonzm = zm; 421 422 PetscFunctionReturn(0); 423 } 424 425 /*@ 426 DMDASetStencilType - Sets the type of the communication stencil 427 428 Logically Collective on da 429 430 Input Parameters: 431 + da - The DMDA 432 - stype - The stencil type, use either DMDA_STENCIL_BOX or DMDA_STENCIL_STAR. 433 434 Level: intermediate 435 436 .seealso: `DMDACreate()`, `DMDestroy()`, `DMDA` 437 @*/ 438 PetscErrorCode DMDASetStencilType(DM da, DMDAStencilType stype) 439 { 440 DM_DA *dd = (DM_DA*)da->data; 441 442 PetscFunctionBegin; 443 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 444 PetscValidLogicalCollectiveEnum(da,stype,2); 445 PetscCheck(!da->setupcalled,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"This function must be called before DMSetUp()"); 446 dd->stencil_type = stype; 447 PetscFunctionReturn(0); 448 } 449 450 /*@ 451 DMDAGetStencilType - Gets the type of the communication stencil 452 453 Not collective 454 455 Input Parameter: 456 . da - The DMDA 457 458 Output Parameter: 459 . stype - The stencil type, use either DMDA_STENCIL_BOX or DMDA_STENCIL_STAR. 460 461 Level: intermediate 462 463 .seealso: `DMDACreate()`, `DMDestroy()`, `DMDA` 464 @*/ 465 PetscErrorCode DMDAGetStencilType(DM da, DMDAStencilType *stype) 466 { 467 DM_DA *dd = (DM_DA*)da->data; 468 469 PetscFunctionBegin; 470 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 471 PetscValidPointer(stype,2); 472 *stype = dd->stencil_type; 473 PetscFunctionReturn(0); 474 } 475 476 /*@ 477 DMDASetStencilWidth - Sets the width of the communication stencil 478 479 Logically Collective on da 480 481 Input Parameters: 482 + da - The DMDA 483 - width - The stencil width 484 485 Level: intermediate 486 487 .seealso: `DMDACreate()`, `DMDestroy()`, `DMDA` 488 @*/ 489 PetscErrorCode DMDASetStencilWidth(DM da, PetscInt width) 490 { 491 DM_DA *dd = (DM_DA*)da->data; 492 493 PetscFunctionBegin; 494 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 495 PetscValidLogicalCollectiveInt(da,width,2); 496 PetscCheck(!da->setupcalled,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"This function must be called before DMSetUp()"); 497 dd->s = width; 498 PetscFunctionReturn(0); 499 } 500 501 /*@ 502 DMDAGetStencilWidth - Gets the width of the communication stencil 503 504 Not collective 505 506 Input Parameter: 507 . da - The DMDA 508 509 Output Parameter: 510 . width - The stencil width 511 512 Level: intermediate 513 514 .seealso: `DMDACreate()`, `DMDestroy()`, `DMDA` 515 @*/ 516 PetscErrorCode DMDAGetStencilWidth(DM da, PetscInt *width) 517 { 518 DM_DA *dd = (DM_DA *) da->data; 519 520 PetscFunctionBegin; 521 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 522 PetscValidIntPointer(width,2); 523 *width = dd->s; 524 PetscFunctionReturn(0); 525 } 526 527 static PetscErrorCode DMDACheckOwnershipRanges_Private(DM da,PetscInt M,PetscInt m,const PetscInt lx[]) 528 { 529 PetscInt i,sum; 530 531 PetscFunctionBegin; 532 PetscCheck(M >= 0,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"Global dimension not set"); 533 for (i=sum=0; i<m; i++) sum += lx[i]; 534 PetscCheck(sum == M,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_INCOMP,"Ownership ranges sum to %" PetscInt_FMT " but global dimension is %" PetscInt_FMT,sum,M); 535 PetscFunctionReturn(0); 536 } 537 538 /*@ 539 DMDASetOwnershipRanges - Sets the number of nodes in each direction on each process 540 541 Logically Collective on da 542 543 Input Parameters: 544 + da - The DMDA 545 . lx - array containing number of nodes in the X direction on each process, or NULL. If non-null, must be of length da->m 546 . ly - array containing number of nodes in the Y direction on each process, or NULL. If non-null, must be of length da->n 547 - lz - array containing number of nodes in the Z direction on each process, or NULL. If non-null, must be of length da->p. 548 549 Level: intermediate 550 551 Note: these numbers are NOT multiplied by the number of dof per node. 552 553 .seealso: `DMDACreate()`, `DMDestroy()`, `DMDA` 554 @*/ 555 PetscErrorCode DMDASetOwnershipRanges(DM da, const PetscInt lx[], const PetscInt ly[], const PetscInt lz[]) 556 { 557 DM_DA *dd = (DM_DA*)da->data; 558 559 PetscFunctionBegin; 560 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 561 PetscCheck(!da->setupcalled,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"This function must be called before DMSetUp()"); 562 if (lx) { 563 PetscCheck(dd->m >= 0,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"Cannot set ownership ranges before setting number of procs"); 564 PetscCall(DMDACheckOwnershipRanges_Private(da,dd->M,dd->m,lx)); 565 if (!dd->lx) { 566 PetscCall(PetscMalloc1(dd->m, &dd->lx)); 567 } 568 PetscCall(PetscArraycpy(dd->lx, lx, dd->m)); 569 } 570 if (ly) { 571 PetscCheck(dd->n >= 0,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"Cannot set ownership ranges before setting number of procs"); 572 PetscCall(DMDACheckOwnershipRanges_Private(da,dd->N,dd->n,ly)); 573 if (!dd->ly) { 574 PetscCall(PetscMalloc1(dd->n, &dd->ly)); 575 } 576 PetscCall(PetscArraycpy(dd->ly, ly, dd->n)); 577 } 578 if (lz) { 579 PetscCheck(dd->p >= 0,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_WRONGSTATE,"Cannot set ownership ranges before setting number of procs"); 580 PetscCall(DMDACheckOwnershipRanges_Private(da,dd->P,dd->p,lz)); 581 if (!dd->lz) { 582 PetscCall(PetscMalloc1(dd->p, &dd->lz)); 583 } 584 PetscCall(PetscArraycpy(dd->lz, lz, dd->p)); 585 } 586 PetscFunctionReturn(0); 587 } 588 589 /*@ 590 DMDASetInterpolationType - Sets the type of interpolation that will be 591 returned by DMCreateInterpolation() 592 593 Logically Collective on da 594 595 Input Parameters: 596 + da - initial distributed array 597 - ctype - DMDA_Q1 and DMDA_Q0 are currently the only supported forms 598 599 Level: intermediate 600 601 Notes: 602 you should call this on the coarser of the two DMDAs you pass to DMCreateInterpolation() 603 604 .seealso: `DMDACreate1d()`, `DMDACreate2d()`, `DMDACreate3d()`, `DMDestroy()`, `DMDA`, `DMDAInterpolationType` 605 @*/ 606 PetscErrorCode DMDASetInterpolationType(DM da,DMDAInterpolationType ctype) 607 { 608 DM_DA *dd = (DM_DA*)da->data; 609 610 PetscFunctionBegin; 611 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 612 PetscValidLogicalCollectiveEnum(da,ctype,2); 613 dd->interptype = ctype; 614 PetscFunctionReturn(0); 615 } 616 617 /*@ 618 DMDAGetInterpolationType - Gets the type of interpolation that will be 619 used by DMCreateInterpolation() 620 621 Not Collective 622 623 Input Parameter: 624 . da - distributed array 625 626 Output Parameter: 627 . ctype - interpolation type (DMDA_Q1 and DMDA_Q0 are currently the only supported forms) 628 629 Level: intermediate 630 631 .seealso: `DMDA`, `DMDAInterpolationType`, `DMDASetInterpolationType()`, `DMCreateInterpolation()` 632 @*/ 633 PetscErrorCode DMDAGetInterpolationType(DM da,DMDAInterpolationType *ctype) 634 { 635 DM_DA *dd = (DM_DA*)da->data; 636 637 PetscFunctionBegin; 638 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 639 PetscValidPointer(ctype,2); 640 *ctype = dd->interptype; 641 PetscFunctionReturn(0); 642 } 643 644 /*@C 645 DMDAGetNeighbors - Gets an array containing the MPI rank of all the current 646 processes neighbors. 647 648 Not Collective 649 650 Input Parameter: 651 . da - the DMDA object 652 653 Output Parameters: 654 . ranks - the neighbors ranks, stored with the x index increasing most rapidly. 655 this process itself is in the list 656 657 Notes: 658 In 2d the array is of length 9, in 3d of length 27 659 Not supported in 1d 660 Do not free the array, it is freed when the DMDA is destroyed. 661 662 Fortran Notes: 663 In fortran you must pass in an array of the appropriate length. 664 665 Level: intermediate 666 667 @*/ 668 PetscErrorCode DMDAGetNeighbors(DM da,const PetscMPIInt *ranks[]) 669 { 670 DM_DA *dd = (DM_DA*)da->data; 671 672 PetscFunctionBegin; 673 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 674 *ranks = dd->neighbors; 675 PetscFunctionReturn(0); 676 } 677 678 /*@C 679 DMDAGetOwnershipRanges - Gets the ranges of indices in the x, y and z direction that are owned by each process 680 681 Not Collective 682 683 Input Parameter: 684 . da - the DMDA object 685 686 Output Parameters: 687 + lx - ownership along x direction (optional) 688 . ly - ownership along y direction (optional) 689 - lz - ownership along z direction (optional) 690 691 Level: intermediate 692 693 Note: these correspond to the optional final arguments passed to DMDACreate(), DMDACreate2d(), DMDACreate3d() 694 695 In Fortran one must pass in arrays lx, ly, and lz that are long enough to hold the values; the sixth, seventh and 696 eighth arguments from DMDAGetInfo() 697 698 In C you should not free these arrays, nor change the values in them. They will only have valid values while the 699 DMDA they came from still exists (has not been destroyed). 700 701 These numbers are NOT multiplied by the number of dof per node. 702 703 .seealso: `DMDAGetCorners()`, `DMDAGetGhostCorners()`, `DMDACreate()`, `DMDACreate1d()`, `DMDACreate2d()`, `DMDACreate3d()`, `VecGetOwnershipRanges()` 704 @*/ 705 PetscErrorCode DMDAGetOwnershipRanges(DM da,const PetscInt *lx[],const PetscInt *ly[],const PetscInt *lz[]) 706 { 707 DM_DA *dd = (DM_DA*)da->data; 708 709 PetscFunctionBegin; 710 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 711 if (lx) *lx = dd->lx; 712 if (ly) *ly = dd->ly; 713 if (lz) *lz = dd->lz; 714 PetscFunctionReturn(0); 715 } 716 717 /*@ 718 DMDASetRefinementFactor - Set the ratios that the DMDA grid is refined 719 720 Logically Collective on da 721 722 Input Parameters: 723 + da - the DMDA object 724 . refine_x - ratio of fine grid to coarse in x direction (2 by default) 725 . refine_y - ratio of fine grid to coarse in y direction (2 by default) 726 - refine_z - ratio of fine grid to coarse in z direction (2 by default) 727 728 Options Database: 729 + -da_refine_x refine_x - refinement ratio in x direction 730 . -da_refine_y rafine_y - refinement ratio in y direction 731 . -da_refine_z refine_z - refinement ratio in z direction 732 - -da_refine <n> - refine the DMDA object n times when it is created. 733 734 Level: intermediate 735 736 Notes: 737 Pass PETSC_IGNORE to leave a value unchanged 738 739 .seealso: `DMRefine()`, `DMDAGetRefinementFactor()` 740 @*/ 741 PetscErrorCode DMDASetRefinementFactor(DM da, PetscInt refine_x, PetscInt refine_y,PetscInt refine_z) 742 { 743 DM_DA *dd = (DM_DA*)da->data; 744 745 PetscFunctionBegin; 746 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 747 PetscValidLogicalCollectiveInt(da,refine_x,2); 748 PetscValidLogicalCollectiveInt(da,refine_y,3); 749 PetscValidLogicalCollectiveInt(da,refine_z,4); 750 751 if (refine_x > 0) dd->refine_x = refine_x; 752 if (refine_y > 0) dd->refine_y = refine_y; 753 if (refine_z > 0) dd->refine_z = refine_z; 754 PetscFunctionReturn(0); 755 } 756 757 /*@C 758 DMDAGetRefinementFactor - Gets the ratios that the DMDA grid is refined 759 760 Not Collective 761 762 Input Parameter: 763 . da - the DMDA object 764 765 Output Parameters: 766 + refine_x - ratio of fine grid to coarse in x direction (2 by default) 767 . refine_y - ratio of fine grid to coarse in y direction (2 by default) 768 - refine_z - ratio of fine grid to coarse in z direction (2 by default) 769 770 Level: intermediate 771 772 Notes: 773 Pass NULL for values you do not need 774 775 .seealso: `DMRefine()`, `DMDASetRefinementFactor()` 776 @*/ 777 PetscErrorCode DMDAGetRefinementFactor(DM da, PetscInt *refine_x, PetscInt *refine_y,PetscInt *refine_z) 778 { 779 DM_DA *dd = (DM_DA*)da->data; 780 781 PetscFunctionBegin; 782 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 783 if (refine_x) *refine_x = dd->refine_x; 784 if (refine_y) *refine_y = dd->refine_y; 785 if (refine_z) *refine_z = dd->refine_z; 786 PetscFunctionReturn(0); 787 } 788 789 /*@C 790 DMDASetGetMatrix - Sets the routine used by the DMDA to allocate a matrix. 791 792 Logically Collective on da 793 794 Input Parameters: 795 + da - the DMDA object 796 - f - the function that allocates the matrix for that specific DMDA 797 798 Level: developer 799 800 Notes: 801 See DMDASetBlockFills() that provides a simple way to provide the nonzero structure for 802 the diagonal and off-diagonal blocks of the matrix 803 804 Not supported from Fortran 805 806 .seealso: `DMCreateMatrix()`, `DMDASetBlockFills()` 807 @*/ 808 PetscErrorCode DMDASetGetMatrix(DM da,PetscErrorCode (*f)(DM, Mat*)) 809 { 810 PetscFunctionBegin; 811 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 812 da->ops->creatematrix = f; 813 PetscFunctionReturn(0); 814 } 815 816 /*@ 817 DMDAMapMatStencilToGlobal - Map a list of MatStencils on a grid to global indices. 818 819 Not Collective 820 821 Input Parameters: 822 + da - the DMDA object 823 . m - number of MatStencils 824 - idxm - grid points (and component number when dof > 1) 825 826 Output Parameter: 827 . gidxm - global row indices 828 829 Level: intermediate 830 831 .seealso: `MatStencil` 832 @*/ 833 PetscErrorCode DMDAMapMatStencilToGlobal(DM da,PetscInt m,const MatStencil idxm[],PetscInt gidxm[]) 834 { 835 const DM_DA *dd = (const DM_DA*)da->data; 836 const PetscInt *dxm = (const PetscInt*)idxm; 837 PetscInt i,j,sdim,tmp,dim; 838 PetscInt dims[4],starts[4],dims2[3],starts2[3],dof = dd->w; 839 ISLocalToGlobalMapping ltog; 840 841 PetscFunctionBegin; 842 if (m <= 0) PetscFunctionReturn(0); 843 844 /* Code adapted from DMDAGetGhostCorners() */ 845 starts2[0] = dd->Xs/dof + dd->xo; 846 starts2[1] = dd->Ys + dd->yo; 847 starts2[2] = dd->Zs + dd->zo; 848 dims2[0] = (dd->Xe - dd->Xs)/dof; 849 dims2[1] = (dd->Ye - dd->Ys); 850 dims2[2] = (dd->Ze - dd->Zs); 851 852 /* As if we do MatSetStencil() to get dims[]/starts[] of mat->stencil */ 853 dim = da->dim; /* DA dim: 1 to 3 */ 854 sdim = dim + (dof > 1? 1 : 0); /* Dimensions in MatStencil's (k,j,i,c) view */ 855 for (i=0; i<dim; i++) { /* Reverse the order and also skip the unused dimensions */ 856 dims[i] = dims2[dim-i-1]; /* ex. dims/starts[] are in order of {i} for 1D, {j,i} for 2D and {k,j,i} for 3D */ 857 starts[i] = starts2[dim-i-1]; 858 } 859 starts[dim] = 0; /* Append the extra dim for dof (won't be used below if dof=1) */ 860 dims[dim] = dof; 861 862 /* Map stencils to local indices (code adapted from MatSetValuesStencil()) */ 863 for (i=0; i<m; i++) { 864 dxm += 3-dim; /* Input is {k,j,i,c}; move the pointer to the first used index, e.g., j in 2D */ 865 tmp = 0; 866 for (j=0; j<sdim; j++) { /* Iter over, ex. j,i or j,i,c in 2D */ 867 if (tmp < 0 || dxm[j] < starts[j] || dxm[j] >= (starts[j] + dims[j])) tmp = -1; /* Beyond the ghost region, therefore ignored with negative indices */ 868 else tmp = tmp*dims[j] + (dxm[j] - starts[j]); 869 } 870 gidxm[i] = tmp; 871 /* Move to the next MatStencil point */ 872 if (dof > 1) dxm += sdim; /* c is already counted in sdim */ 873 else dxm += sdim + 1; /* skip the unused c */ 874 } 875 876 /* Map local indices to global indices */ 877 PetscCall(DMGetLocalToGlobalMapping(da,<og)); 878 PetscCall(ISLocalToGlobalMappingApply(ltog,m,gidxm,gidxm)); 879 PetscFunctionReturn(0); 880 } 881 882 /* 883 Creates "balanced" ownership ranges after refinement, constrained by the need for the 884 fine grid boundaries to fall within one stencil width of the coarse partition. 885 886 Uses a greedy algorithm to handle non-ideal layouts, could probably do something better. 887 */ 888 static PetscErrorCode DMDARefineOwnershipRanges(DM da,PetscBool periodic,PetscInt stencil_width,PetscInt ratio,PetscInt m,const PetscInt lc[],PetscInt lf[]) 889 { 890 PetscInt i,totalc = 0,remaining,startc = 0,startf = 0; 891 892 PetscFunctionBegin; 893 PetscCheck(ratio >= 1,PetscObjectComm((PetscObject)da),PETSC_ERR_USER,"Requested refinement ratio %" PetscInt_FMT " must be at least 1",ratio); 894 if (ratio == 1) { 895 PetscCall(PetscArraycpy(lf,lc,m)); 896 PetscFunctionReturn(0); 897 } 898 for (i=0; i<m; i++) totalc += lc[i]; 899 remaining = (!periodic) + ratio * (totalc - (!periodic)); 900 for (i=0; i<m; i++) { 901 PetscInt want = remaining/(m-i) + !!(remaining%(m-i)); 902 if (i == m-1) lf[i] = want; 903 else { 904 const PetscInt nextc = startc + lc[i]; 905 /* Move the first fine node of the next subdomain to the right until the coarse node on its left is within one 906 * coarse stencil width of the first coarse node in the next subdomain. */ 907 while ((startf+want)/ratio < nextc - stencil_width) want++; 908 /* Move the last fine node in the current subdomain to the left until the coarse node on its right is within one 909 * coarse stencil width of the last coarse node in the current subdomain. */ 910 while ((startf+want-1+ratio-1)/ratio > nextc-1+stencil_width) want--; 911 /* Make sure all constraints are satisfied */ 912 if (want < 0 || want > remaining || ((startf+want)/ratio < nextc - stencil_width) 913 || ((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"); 914 } 915 lf[i] = want; 916 startc += lc[i]; 917 startf += lf[i]; 918 remaining -= lf[i]; 919 } 920 PetscFunctionReturn(0); 921 } 922 923 /* 924 Creates "balanced" ownership ranges after coarsening, constrained by the need for the 925 fine grid boundaries to fall within one stencil width of the coarse partition. 926 927 Uses a greedy algorithm to handle non-ideal layouts, could probably do something better. 928 */ 929 static PetscErrorCode DMDACoarsenOwnershipRanges(DM da,PetscBool periodic,PetscInt stencil_width,PetscInt ratio,PetscInt m,const PetscInt lf[],PetscInt lc[]) 930 { 931 PetscInt i,totalf,remaining,startc,startf; 932 933 PetscFunctionBegin; 934 PetscCheck(ratio >= 1,PetscObjectComm((PetscObject)da),PETSC_ERR_USER,"Requested refinement ratio %" PetscInt_FMT " must be at least 1",ratio); 935 if (ratio == 1) { 936 PetscCall(PetscArraycpy(lc,lf,m)); 937 PetscFunctionReturn(0); 938 } 939 for (i=0,totalf=0; i<m; i++) totalf += lf[i]; 940 remaining = (!periodic) + (totalf - (!periodic)) / ratio; 941 for (i=0,startc=0,startf=0; i<m; i++) { 942 PetscInt want = remaining/(m-i) + !!(remaining%(m-i)); 943 if (i == m-1) lc[i] = want; 944 else { 945 const PetscInt nextf = startf+lf[i]; 946 /* Slide first coarse node of next subdomain to the left until the coarse node to the left of the first fine 947 * node is within one stencil width. */ 948 while (nextf/ratio < startc+want-stencil_width) want--; 949 /* Slide the last coarse node of the current subdomain to the right until the coarse node to the right of the last 950 * fine node is within one stencil width. */ 951 while ((nextf-1+ratio-1)/ratio > startc+want-1+stencil_width) want++; 952 if (want < 0 || want > remaining 953 || (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"); 954 } 955 lc[i] = want; 956 startc += lc[i]; 957 startf += lf[i]; 958 remaining -= lc[i]; 959 } 960 PetscFunctionReturn(0); 961 } 962 963 PetscErrorCode DMRefine_DA(DM da,MPI_Comm comm,DM *daref) 964 { 965 PetscInt M,N,P,i,dim; 966 Vec coordsc, coordsf; 967 DM da2; 968 DM_DA *dd = (DM_DA*)da->data,*dd2; 969 970 PetscFunctionBegin; 971 PetscValidHeaderSpecificType(da,DM_CLASSID,1,DMDA); 972 PetscValidPointer(daref,3); 973 974 PetscCall(DMGetDimension(da, &dim)); 975 if (dd->bx == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0) { 976 M = dd->refine_x*dd->M; 977 } else { 978 M = 1 + dd->refine_x*(dd->M - 1); 979 } 980 if (dd->by == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0) { 981 if (dim > 1) { 982 N = dd->refine_y*dd->N; 983 } else { 984 N = 1; 985 } 986 } else { 987 N = 1 + dd->refine_y*(dd->N - 1); 988 } 989 if (dd->bz == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0) { 990 if (dim > 2) { 991 P = dd->refine_z*dd->P; 992 } else { 993 P = 1; 994 } 995 } else { 996 P = 1 + dd->refine_z*(dd->P - 1); 997 } 998 PetscCall(DMDACreate(PetscObjectComm((PetscObject)da),&da2)); 999 PetscCall(DMSetOptionsPrefix(da2,((PetscObject)da)->prefix)); 1000 PetscCall(DMSetDimension(da2,dim)); 1001 PetscCall(DMDASetSizes(da2,M,N,P)); 1002 PetscCall(DMDASetNumProcs(da2,dd->m,dd->n,dd->p)); 1003 PetscCall(DMDASetBoundaryType(da2,dd->bx,dd->by,dd->bz)); 1004 PetscCall(DMDASetDof(da2,dd->w)); 1005 PetscCall(DMDASetStencilType(da2,dd->stencil_type)); 1006 PetscCall(DMDASetStencilWidth(da2,dd->s)); 1007 if (dim == 3) { 1008 PetscInt *lx,*ly,*lz; 1009 PetscCall(PetscMalloc3(dd->m,&lx,dd->n,&ly,dd->p,&lz)); 1010 PetscCall(DMDARefineOwnershipRanges(da,(PetscBool)(dd->bx == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->refine_x,dd->m,dd->lx,lx)); 1011 PetscCall(DMDARefineOwnershipRanges(da,(PetscBool)(dd->by == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->refine_y,dd->n,dd->ly,ly)); 1012 PetscCall(DMDARefineOwnershipRanges(da,(PetscBool)(dd->bz == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->refine_z,dd->p,dd->lz,lz)); 1013 PetscCall(DMDASetOwnershipRanges(da2,lx,ly,lz)); 1014 PetscCall(PetscFree3(lx,ly,lz)); 1015 } else if (dim == 2) { 1016 PetscInt *lx,*ly; 1017 PetscCall(PetscMalloc2(dd->m,&lx,dd->n,&ly)); 1018 PetscCall(DMDARefineOwnershipRanges(da,(PetscBool)(dd->bx == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->refine_x,dd->m,dd->lx,lx)); 1019 PetscCall(DMDARefineOwnershipRanges(da,(PetscBool)(dd->by == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->refine_y,dd->n,dd->ly,ly)); 1020 PetscCall(DMDASetOwnershipRanges(da2,lx,ly,NULL)); 1021 PetscCall(PetscFree2(lx,ly)); 1022 } else if (dim == 1) { 1023 PetscInt *lx; 1024 PetscCall(PetscMalloc1(dd->m,&lx)); 1025 PetscCall(DMDARefineOwnershipRanges(da,(PetscBool)(dd->bx == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->refine_x,dd->m,dd->lx,lx)); 1026 PetscCall(DMDASetOwnershipRanges(da2,lx,NULL,NULL)); 1027 PetscCall(PetscFree(lx)); 1028 } 1029 dd2 = (DM_DA*)da2->data; 1030 1031 /* allow overloaded (user replaced) operations to be inherited by refinement clones */ 1032 da2->ops->creatematrix = da->ops->creatematrix; 1033 /* da2->ops->createinterpolation = da->ops->createinterpolation; this causes problem with SNESVI */ 1034 da2->ops->getcoloring = da->ops->getcoloring; 1035 dd2->interptype = dd->interptype; 1036 1037 /* copy fill information if given */ 1038 if (dd->dfill) { 1039 PetscCall(PetscMalloc1(dd->dfill[dd->w]+dd->w+1,&dd2->dfill)); 1040 PetscCall(PetscArraycpy(dd2->dfill,dd->dfill,dd->dfill[dd->w]+dd->w+1)); 1041 } 1042 if (dd->ofill) { 1043 PetscCall(PetscMalloc1(dd->ofill[dd->w]+dd->w+1,&dd2->ofill)); 1044 PetscCall(PetscArraycpy(dd2->ofill,dd->ofill,dd->ofill[dd->w]+dd->w+1)); 1045 } 1046 /* copy the refine information */ 1047 dd2->coarsen_x = dd2->refine_x = dd->refine_x; 1048 dd2->coarsen_y = dd2->refine_y = dd->refine_y; 1049 dd2->coarsen_z = dd2->refine_z = dd->refine_z; 1050 1051 if (dd->refine_z_hier) { 1052 if (da->levelup - da->leveldown + 1 > -1 && da->levelup - da->leveldown + 1 < dd->refine_z_hier_n) { 1053 dd2->refine_z = dd->refine_z_hier[da->levelup - da->leveldown + 1]; 1054 } 1055 if (da->levelup - da->leveldown > -1 && da->levelup - da->leveldown < dd->refine_z_hier_n) { 1056 dd2->coarsen_z = dd->refine_z_hier[da->levelup - da->leveldown]; 1057 } 1058 dd2->refine_z_hier_n = dd->refine_z_hier_n; 1059 PetscCall(PetscMalloc1(dd2->refine_z_hier_n,&dd2->refine_z_hier)); 1060 PetscCall(PetscArraycpy(dd2->refine_z_hier,dd->refine_z_hier,dd2->refine_z_hier_n)); 1061 } 1062 if (dd->refine_y_hier) { 1063 if (da->levelup - da->leveldown + 1 > -1 && da->levelup - da->leveldown + 1 < dd->refine_y_hier_n) { 1064 dd2->refine_y = dd->refine_y_hier[da->levelup - da->leveldown + 1]; 1065 } 1066 if (da->levelup - da->leveldown > -1 && da->levelup - da->leveldown < dd->refine_y_hier_n) { 1067 dd2->coarsen_y = dd->refine_y_hier[da->levelup - da->leveldown]; 1068 } 1069 dd2->refine_y_hier_n = dd->refine_y_hier_n; 1070 PetscCall(PetscMalloc1(dd2->refine_y_hier_n,&dd2->refine_y_hier)); 1071 PetscCall(PetscArraycpy(dd2->refine_y_hier,dd->refine_y_hier,dd2->refine_y_hier_n)); 1072 } 1073 if (dd->refine_x_hier) { 1074 if (da->levelup - da->leveldown + 1 > -1 && da->levelup - da->leveldown + 1 < dd->refine_x_hier_n) { 1075 dd2->refine_x = dd->refine_x_hier[da->levelup - da->leveldown + 1]; 1076 } 1077 if (da->levelup - da->leveldown > -1 && da->levelup - da->leveldown < dd->refine_x_hier_n) { 1078 dd2->coarsen_x = dd->refine_x_hier[da->levelup - da->leveldown]; 1079 } 1080 dd2->refine_x_hier_n = dd->refine_x_hier_n; 1081 PetscCall(PetscMalloc1(dd2->refine_x_hier_n,&dd2->refine_x_hier)); 1082 PetscCall(PetscArraycpy(dd2->refine_x_hier,dd->refine_x_hier,dd2->refine_x_hier_n)); 1083 } 1084 1085 /* copy vector type information */ 1086 PetscCall(DMSetVecType(da2,da->vectype)); 1087 1088 dd2->lf = dd->lf; 1089 dd2->lj = dd->lj; 1090 1091 da2->leveldown = da->leveldown; 1092 da2->levelup = da->levelup + 1; 1093 1094 PetscCall(DMSetUp(da2)); 1095 1096 /* interpolate coordinates if they are set on the coarse grid */ 1097 PetscCall(DMGetCoordinates(da, &coordsc)); 1098 if (coordsc) { 1099 DM cdaf,cdac; 1100 Mat II; 1101 1102 PetscCall(DMGetCoordinateDM(da,&cdac)); 1103 PetscCall(DMGetCoordinateDM(da2,&cdaf)); 1104 /* force creation of the coordinate vector */ 1105 PetscCall(DMDASetUniformCoordinates(da2,0.0,1.0,0.0,1.0,0.0,1.0)); 1106 PetscCall(DMGetCoordinates(da2,&coordsf)); 1107 PetscCall(DMCreateInterpolation(cdac,cdaf,&II,NULL)); 1108 PetscCall(MatInterpolate(II,coordsc,coordsf)); 1109 PetscCall(MatDestroy(&II)); 1110 } 1111 1112 for (i=0; i<da->bs; i++) { 1113 const char *fieldname; 1114 PetscCall(DMDAGetFieldName(da,i,&fieldname)); 1115 PetscCall(DMDASetFieldName(da2,i,fieldname)); 1116 } 1117 1118 *daref = da2; 1119 PetscFunctionReturn(0); 1120 } 1121 1122 PetscErrorCode DMCoarsen_DA(DM dmf, MPI_Comm comm,DM *dmc) 1123 { 1124 PetscInt M,N,P,i,dim; 1125 Vec coordsc, coordsf; 1126 DM dmc2; 1127 DM_DA *dd = (DM_DA*)dmf->data,*dd2; 1128 1129 PetscFunctionBegin; 1130 PetscValidHeaderSpecificType(dmf,DM_CLASSID,1,DMDA); 1131 PetscValidPointer(dmc,3); 1132 1133 PetscCall(DMGetDimension(dmf, &dim)); 1134 if (dd->bx == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0) { 1135 M = dd->M / dd->coarsen_x; 1136 } else { 1137 M = 1 + (dd->M - 1) / dd->coarsen_x; 1138 } 1139 if (dd->by == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0) { 1140 if (dim > 1) { 1141 N = dd->N / dd->coarsen_y; 1142 } else { 1143 N = 1; 1144 } 1145 } else { 1146 N = 1 + (dd->N - 1) / dd->coarsen_y; 1147 } 1148 if (dd->bz == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0) { 1149 if (dim > 2) { 1150 P = dd->P / dd->coarsen_z; 1151 } else { 1152 P = 1; 1153 } 1154 } else { 1155 P = 1 + (dd->P - 1) / dd->coarsen_z; 1156 } 1157 PetscCall(DMDACreate(PetscObjectComm((PetscObject)dmf),&dmc2)); 1158 PetscCall(DMSetOptionsPrefix(dmc2,((PetscObject)dmf)->prefix)); 1159 PetscCall(DMSetDimension(dmc2,dim)); 1160 PetscCall(DMDASetSizes(dmc2,M,N,P)); 1161 PetscCall(DMDASetNumProcs(dmc2,dd->m,dd->n,dd->p)); 1162 PetscCall(DMDASetBoundaryType(dmc2,dd->bx,dd->by,dd->bz)); 1163 PetscCall(DMDASetDof(dmc2,dd->w)); 1164 PetscCall(DMDASetStencilType(dmc2,dd->stencil_type)); 1165 PetscCall(DMDASetStencilWidth(dmc2,dd->s)); 1166 if (dim == 3) { 1167 PetscInt *lx,*ly,*lz; 1168 PetscCall(PetscMalloc3(dd->m,&lx,dd->n,&ly,dd->p,&lz)); 1169 PetscCall(DMDACoarsenOwnershipRanges(dmf,(PetscBool)(dd->bx == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->coarsen_x,dd->m,dd->lx,lx)); 1170 PetscCall(DMDACoarsenOwnershipRanges(dmf,(PetscBool)(dd->by == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->coarsen_y,dd->n,dd->ly,ly)); 1171 PetscCall(DMDACoarsenOwnershipRanges(dmf,(PetscBool)(dd->bz == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->coarsen_z,dd->p,dd->lz,lz)); 1172 PetscCall(DMDASetOwnershipRanges(dmc2,lx,ly,lz)); 1173 PetscCall(PetscFree3(lx,ly,lz)); 1174 } else if (dim == 2) { 1175 PetscInt *lx,*ly; 1176 PetscCall(PetscMalloc2(dd->m,&lx,dd->n,&ly)); 1177 PetscCall(DMDACoarsenOwnershipRanges(dmf,(PetscBool)(dd->bx == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->coarsen_x,dd->m,dd->lx,lx)); 1178 PetscCall(DMDACoarsenOwnershipRanges(dmf,(PetscBool)(dd->by == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->coarsen_y,dd->n,dd->ly,ly)); 1179 PetscCall(DMDASetOwnershipRanges(dmc2,lx,ly,NULL)); 1180 PetscCall(PetscFree2(lx,ly)); 1181 } else if (dim == 1) { 1182 PetscInt *lx; 1183 PetscCall(PetscMalloc1(dd->m,&lx)); 1184 PetscCall(DMDACoarsenOwnershipRanges(dmf,(PetscBool)(dd->bx == DM_BOUNDARY_PERIODIC || dd->interptype == DMDA_Q0),dd->s,dd->coarsen_x,dd->m,dd->lx,lx)); 1185 PetscCall(DMDASetOwnershipRanges(dmc2,lx,NULL,NULL)); 1186 PetscCall(PetscFree(lx)); 1187 } 1188 dd2 = (DM_DA*)dmc2->data; 1189 1190 /* allow overloaded (user replaced) operations to be inherited by refinement clones; why are only some inherited and not all? */ 1191 /* dmc2->ops->createinterpolation = dmf->ops->createinterpolation; copying this one causes trouble for DMSetVI */ 1192 dmc2->ops->creatematrix = dmf->ops->creatematrix; 1193 dmc2->ops->getcoloring = dmf->ops->getcoloring; 1194 dd2->interptype = dd->interptype; 1195 1196 /* copy fill information if given */ 1197 if (dd->dfill) { 1198 PetscCall(PetscMalloc1(dd->dfill[dd->w]+dd->w+1,&dd2->dfill)); 1199 PetscCall(PetscArraycpy(dd2->dfill,dd->dfill,dd->dfill[dd->w]+dd->w+1)); 1200 } 1201 if (dd->ofill) { 1202 PetscCall(PetscMalloc1(dd->ofill[dd->w]+dd->w+1,&dd2->ofill)); 1203 PetscCall(PetscArraycpy(dd2->ofill,dd->ofill,dd->ofill[dd->w]+dd->w+1)); 1204 } 1205 /* copy the refine information */ 1206 dd2->coarsen_x = dd2->refine_x = dd->coarsen_x; 1207 dd2->coarsen_y = dd2->refine_y = dd->coarsen_y; 1208 dd2->coarsen_z = dd2->refine_z = dd->coarsen_z; 1209 1210 if (dd->refine_z_hier) { 1211 if (dmf->levelup - dmf->leveldown -1 > -1 && dmf->levelup - dmf->leveldown - 1< dd->refine_z_hier_n) { 1212 dd2->refine_z = dd->refine_z_hier[dmf->levelup - dmf->leveldown - 1]; 1213 } 1214 if (dmf->levelup - dmf->leveldown - 2 > -1 && dmf->levelup - dmf->leveldown - 2 < dd->refine_z_hier_n) { 1215 dd2->coarsen_z = dd->refine_z_hier[dmf->levelup - dmf->leveldown - 2]; 1216 } 1217 dd2->refine_z_hier_n = dd->refine_z_hier_n; 1218 PetscCall(PetscMalloc1(dd2->refine_z_hier_n,&dd2->refine_z_hier)); 1219 PetscCall(PetscArraycpy(dd2->refine_z_hier,dd->refine_z_hier,dd2->refine_z_hier_n)); 1220 } 1221 if (dd->refine_y_hier) { 1222 if (dmf->levelup - dmf->leveldown - 1 > -1 && dmf->levelup - dmf->leveldown - 1< dd->refine_y_hier_n) { 1223 dd2->refine_y = dd->refine_y_hier[dmf->levelup - dmf->leveldown - 1]; 1224 } 1225 if (dmf->levelup - dmf->leveldown - 2 > -1 && dmf->levelup - dmf->leveldown - 2 < dd->refine_y_hier_n) { 1226 dd2->coarsen_y = dd->refine_y_hier[dmf->levelup - dmf->leveldown - 2]; 1227 } 1228 dd2->refine_y_hier_n = dd->refine_y_hier_n; 1229 PetscCall(PetscMalloc1(dd2->refine_y_hier_n,&dd2->refine_y_hier)); 1230 PetscCall(PetscArraycpy(dd2->refine_y_hier,dd->refine_y_hier,dd2->refine_y_hier_n)); 1231 } 1232 if (dd->refine_x_hier) { 1233 if (dmf->levelup - dmf->leveldown - 1 > -1 && dmf->levelup - dmf->leveldown - 1 < dd->refine_x_hier_n) { 1234 dd2->refine_x = dd->refine_x_hier[dmf->levelup - dmf->leveldown - 1]; 1235 } 1236 if (dmf->levelup - dmf->leveldown - 2 > -1 && dmf->levelup - dmf->leveldown - 2 < dd->refine_x_hier_n) { 1237 dd2->coarsen_x = dd->refine_x_hier[dmf->levelup - dmf->leveldown - 2]; 1238 } 1239 dd2->refine_x_hier_n = dd->refine_x_hier_n; 1240 PetscCall(PetscMalloc1(dd2->refine_x_hier_n,&dd2->refine_x_hier)); 1241 PetscCall(PetscArraycpy(dd2->refine_x_hier,dd->refine_x_hier,dd2->refine_x_hier_n)); 1242 } 1243 1244 /* copy vector type information */ 1245 PetscCall(DMSetVecType(dmc2,dmf->vectype)); 1246 1247 dd2->lf = dd->lf; 1248 dd2->lj = dd->lj; 1249 1250 dmc2->leveldown = dmf->leveldown + 1; 1251 dmc2->levelup = dmf->levelup; 1252 1253 PetscCall(DMSetUp(dmc2)); 1254 1255 /* inject coordinates if they are set on the fine grid */ 1256 PetscCall(DMGetCoordinates(dmf, &coordsf)); 1257 if (coordsf) { 1258 DM cdaf,cdac; 1259 Mat inject; 1260 VecScatter vscat; 1261 1262 PetscCall(DMGetCoordinateDM(dmf,&cdaf)); 1263 PetscCall(DMGetCoordinateDM(dmc2,&cdac)); 1264 /* force creation of the coordinate vector */ 1265 PetscCall(DMDASetUniformCoordinates(dmc2,0.0,1.0,0.0,1.0,0.0,1.0)); 1266 PetscCall(DMGetCoordinates(dmc2,&coordsc)); 1267 1268 PetscCall(DMCreateInjection(cdac,cdaf,&inject)); 1269 PetscCall(MatScatterGetVecScatter(inject,&vscat)); 1270 PetscCall(VecScatterBegin(vscat,coordsf,coordsc,INSERT_VALUES,SCATTER_FORWARD)); 1271 PetscCall(VecScatterEnd(vscat,coordsf,coordsc,INSERT_VALUES,SCATTER_FORWARD)); 1272 PetscCall(MatDestroy(&inject)); 1273 } 1274 1275 for (i=0; i<dmf->bs; i++) { 1276 const char *fieldname; 1277 PetscCall(DMDAGetFieldName(dmf,i,&fieldname)); 1278 PetscCall(DMDASetFieldName(dmc2,i,fieldname)); 1279 } 1280 1281 *dmc = dmc2; 1282 PetscFunctionReturn(0); 1283 } 1284 1285 PetscErrorCode DMRefineHierarchy_DA(DM da,PetscInt nlevels,DM daf[]) 1286 { 1287 PetscInt i,n,*refx,*refy,*refz; 1288 1289 PetscFunctionBegin; 1290 PetscValidHeaderSpecific(da,DM_CLASSID,1); 1291 PetscCheck(nlevels >= 0,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_OUTOFRANGE,"nlevels cannot be negative"); 1292 if (nlevels == 0) PetscFunctionReturn(0); 1293 PetscValidPointer(daf,3); 1294 1295 /* Get refinement factors, defaults taken from the coarse DMDA */ 1296 PetscCall(PetscMalloc3(nlevels,&refx,nlevels,&refy,nlevels,&refz)); 1297 for (i=0; i<nlevels; i++) { 1298 PetscCall(DMDAGetRefinementFactor(da,&refx[i],&refy[i],&refz[i])); 1299 } 1300 n = nlevels; 1301 PetscCall(PetscOptionsGetIntArray(((PetscObject)da)->options,((PetscObject)da)->prefix,"-da_refine_hierarchy_x",refx,&n,NULL)); 1302 n = nlevels; 1303 PetscCall(PetscOptionsGetIntArray(((PetscObject)da)->options,((PetscObject)da)->prefix,"-da_refine_hierarchy_y",refy,&n,NULL)); 1304 n = nlevels; 1305 PetscCall(PetscOptionsGetIntArray(((PetscObject)da)->options,((PetscObject)da)->prefix,"-da_refine_hierarchy_z",refz,&n,NULL)); 1306 1307 PetscCall(DMDASetRefinementFactor(da,refx[0],refy[0],refz[0])); 1308 PetscCall(DMRefine(da,PetscObjectComm((PetscObject)da),&daf[0])); 1309 for (i=1; i<nlevels; i++) { 1310 PetscCall(DMDASetRefinementFactor(daf[i-1],refx[i],refy[i],refz[i])); 1311 PetscCall(DMRefine(daf[i-1],PetscObjectComm((PetscObject)da),&daf[i])); 1312 } 1313 PetscCall(PetscFree3(refx,refy,refz)); 1314 PetscFunctionReturn(0); 1315 } 1316 1317 PetscErrorCode DMCoarsenHierarchy_DA(DM da,PetscInt nlevels,DM dac[]) 1318 { 1319 PetscInt i; 1320 1321 PetscFunctionBegin; 1322 PetscValidHeaderSpecific(da,DM_CLASSID,1); 1323 PetscCheck(nlevels >= 0,PetscObjectComm((PetscObject)da),PETSC_ERR_ARG_OUTOFRANGE,"nlevels cannot be negative"); 1324 if (nlevels == 0) PetscFunctionReturn(0); 1325 PetscValidPointer(dac,3); 1326 PetscCall(DMCoarsen(da,PetscObjectComm((PetscObject)da),&dac[0])); 1327 for (i=1; i<nlevels; i++) { 1328 PetscCall(DMCoarsen(dac[i-1],PetscObjectComm((PetscObject)da),&dac[i])); 1329 } 1330 PetscFunctionReturn(0); 1331 } 1332 1333 PetscErrorCode DMDASetGLLCoordinates_1d(DM dm,PetscInt n,PetscReal *nodes) 1334 { 1335 PetscInt i,j,xs,xn,q; 1336 PetscScalar *xx; 1337 PetscReal h; 1338 Vec x; 1339 DM_DA *da = (DM_DA*)dm->data; 1340 1341 PetscFunctionBegin; 1342 if (da->bx != DM_BOUNDARY_PERIODIC) { 1343 PetscCall(DMDAGetInfo(dm,NULL,&q,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL)); 1344 q = (q-1)/(n-1); /* number of spectral elements */ 1345 h = 2.0/q; 1346 PetscCall(DMDAGetCorners(dm,&xs,NULL,NULL,&xn,NULL,NULL)); 1347 xs = xs/(n-1); 1348 xn = xn/(n-1); 1349 PetscCall(DMDASetUniformCoordinates(dm,-1.,1.,0.,0.,0.,0.)); 1350 PetscCall(DMGetCoordinates(dm,&x)); 1351 PetscCall(DMDAVecGetArray(dm,x,&xx)); 1352 1353 /* loop over local spectral elements */ 1354 for (j=xs; j<xs+xn; j++) { 1355 /* 1356 Except for the first process, each process starts on the second GLL point of the first element on that process 1357 */ 1358 for (i= (j == xs && xs > 0)? 1 : 0; i<n; i++) { 1359 xx[j*(n-1) + i] = -1.0 + h*j + h*(nodes[i]+1.0)/2.; 1360 } 1361 } 1362 PetscCall(DMDAVecRestoreArray(dm,x,&xx)); 1363 } else SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_SUP,"Not yet implemented for periodic"); 1364 PetscFunctionReturn(0); 1365 } 1366 1367 /*@ 1368 1369 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 1370 1371 Collective on da 1372 1373 Input Parameters: 1374 + da - the DMDA object 1375 - n - the number of GLL nodes 1376 - nodes - the GLL nodes 1377 1378 Notes: 1379 the parallel decomposition of grid points must correspond to the degree of the GLL. That is, the number of grid points 1380 on each process much be divisible by the number of GLL elements needed per process. This depends on whether the DM is 1381 periodic or not. 1382 1383 Level: advanced 1384 1385 .seealso: `DMDACreate()`, `PetscDTGaussLobattoLegendreQuadrature()`, `DMGetCoordinates()` 1386 @*/ 1387 PetscErrorCode DMDASetGLLCoordinates(DM da,PetscInt n,PetscReal *nodes) 1388 { 1389 PetscFunctionBegin; 1390 if (da->dim == 1) { 1391 PetscCall(DMDASetGLLCoordinates_1d(da,n,nodes)); 1392 } else SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_SUP,"Not yet implemented for 2 or 3d"); 1393 PetscFunctionReturn(0); 1394 } 1395 1396 PETSC_INTERN PetscErrorCode DMGetCompatibility_DA(DM da1,DM dm2,PetscBool *compatible,PetscBool *set) 1397 { 1398 DM_DA *dd1 = (DM_DA*)da1->data,*dd2; 1399 DM da2; 1400 DMType dmtype2; 1401 PetscBool isda,compatibleLocal; 1402 PetscInt i; 1403 1404 PetscFunctionBegin; 1405 PetscCheck(da1->setupcalled,PetscObjectComm((PetscObject)da1),PETSC_ERR_ARG_WRONGSTATE,"DMSetUp() must be called on first DM before DMGetCompatibility()"); 1406 PetscCall(DMGetType(dm2,&dmtype2)); 1407 PetscCall(PetscStrcmp(dmtype2,DMDA,&isda)); 1408 if (isda) { 1409 da2 = dm2; 1410 dd2 = (DM_DA*)da2->data; 1411 PetscCheck(da2->setupcalled,PetscObjectComm((PetscObject)da2),PETSC_ERR_ARG_WRONGSTATE,"DMSetUp() must be called on second DM before DMGetCompatibility()"); 1412 compatibleLocal = (PetscBool)(da1->dim == da2->dim); 1413 if (compatibleLocal) compatibleLocal = (PetscBool)(compatibleLocal && (dd1->s == dd2->s)); /* Stencil width */ 1414 /* Global size ranks Boundary type */ 1415 if (compatibleLocal) compatibleLocal = (PetscBool)(compatibleLocal && (dd1->M == dd2->M) && (dd1->m == dd2->m) && (dd1->bx == dd2->bx)); 1416 if (compatibleLocal && da1->dim > 1) compatibleLocal = (PetscBool)(compatibleLocal && (dd1->N == dd2->N) && (dd1->n == dd2->n) && (dd1->by == dd2->by)); 1417 if (compatibleLocal && da1->dim > 2) compatibleLocal = (PetscBool)(compatibleLocal && (dd1->P == dd2->P) && (dd1->p == dd2->p) && (dd1->bz == dd2->bz)); 1418 if (compatibleLocal) { 1419 for (i=0; i<dd1->m; ++i) { 1420 compatibleLocal = (PetscBool)(compatibleLocal && (dd1->lx[i] == dd2->lx[i])); /* Local size */ 1421 } 1422 } 1423 if (compatibleLocal && da1->dim > 1) { 1424 for (i=0; i<dd1->n; ++i) { 1425 compatibleLocal = (PetscBool)(compatibleLocal && (dd1->ly[i] == dd2->ly[i])); 1426 } 1427 } 1428 if (compatibleLocal && da1->dim > 2) { 1429 for (i=0; i<dd1->p; ++i) { 1430 compatibleLocal = (PetscBool)(compatibleLocal && (dd1->lz[i] == dd2->lz[i])); 1431 } 1432 } 1433 *compatible = compatibleLocal; 1434 *set = PETSC_TRUE; 1435 } else { 1436 /* Decline to determine compatibility with other DM types */ 1437 *set = PETSC_FALSE; 1438 } 1439 PetscFunctionReturn(0); 1440 } 1441