1 2 /* 3 Code for manipulating distributed regular 1d arrays in parallel. 4 This file was created by Peter Mell 6/30/95 5 */ 6 7 #include <petsc-private/daimpl.h> /*I "petscdmda.h" I*/ 8 9 const char *const DMDABoundaryTypes[] = {"BOUNDARY_NONE","BOUNDARY_GHOSTED","BOUNDARY_PERIODIC","DMDA_",0}; 10 11 #undef __FUNCT__ 12 #define __FUNCT__ "DMView_DA_1d" 13 PetscErrorCode DMView_DA_1d(DM da,PetscViewer viewer) 14 { 15 PetscErrorCode ierr; 16 PetscMPIInt rank; 17 PetscBool iascii,isdraw,isbinary; 18 DM_DA *dd = (DM_DA*)da->data; 19 #if defined(PETSC_HAVE_MATLAB_ENGINE) 20 PetscBool ismatlab; 21 #endif 22 23 PetscFunctionBegin; 24 ierr = MPI_Comm_rank(((PetscObject)da)->comm,&rank);CHKERRQ(ierr); 25 26 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); 27 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERDRAW,&isdraw);CHKERRQ(ierr); 28 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERBINARY,&isbinary);CHKERRQ(ierr); 29 #if defined(PETSC_HAVE_MATLAB_ENGINE) 30 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERMATLAB,&ismatlab);CHKERRQ(ierr); 31 #endif 32 if (iascii) { 33 PetscViewerFormat format; 34 35 ierr = PetscViewerGetFormat(viewer, &format);CHKERRQ(ierr); 36 if (format != PETSC_VIEWER_ASCII_VTK && format != PETSC_VIEWER_ASCII_VTK_CELL) { 37 DMDALocalInfo info; 38 ierr = DMDAGetLocalInfo(da,&info);CHKERRQ(ierr); 39 ierr = PetscViewerASCIISynchronizedAllow(viewer,PETSC_TRUE);CHKERRQ(ierr); 40 ierr = PetscViewerASCIISynchronizedPrintf(viewer,"Processor [%d] M %D m %D w %D s %D\n",rank,dd->M,dd->m,dd->w,dd->s);CHKERRQ(ierr); 41 ierr = PetscViewerASCIISynchronizedPrintf(viewer,"X range of indices: %D %D\n",info.xs,info.xs+info.xm);CHKERRQ(ierr); 42 ierr = PetscViewerFlush(viewer);CHKERRQ(ierr); 43 ierr = PetscViewerASCIISynchronizedAllow(viewer,PETSC_FALSE);CHKERRQ(ierr); 44 } else { 45 ierr = DMView_DA_VTK(da, viewer);CHKERRQ(ierr); 46 } 47 } else if (isdraw) { 48 PetscDraw draw; 49 double ymin = -1,ymax = 1,xmin = -1,xmax = dd->M,x; 50 PetscInt base; 51 char node[10]; 52 PetscBool isnull; 53 54 ierr = PetscViewerDrawGetDraw(viewer,0,&draw);CHKERRQ(ierr); 55 ierr = PetscDrawIsNull(draw,&isnull);CHKERRQ(ierr); if (isnull) PetscFunctionReturn(0); 56 57 ierr = PetscDrawSetCoordinates(draw,xmin,ymin,xmax,ymax);CHKERRQ(ierr); 58 ierr = PetscDrawSynchronizedClear(draw);CHKERRQ(ierr); 59 60 /* first processor draws all node lines */ 61 if (!rank) { 62 PetscInt xmin_tmp; 63 ymin = 0.0; ymax = 0.3; 64 65 for (xmin_tmp=0; xmin_tmp < dd->M; xmin_tmp++) { 66 ierr = PetscDrawLine(draw,(double)xmin_tmp,ymin,(double)xmin_tmp,ymax,PETSC_DRAW_BLACK);CHKERRQ(ierr); 67 } 68 69 xmin = 0.0; xmax = dd->M - 1; 70 ierr = PetscDrawLine(draw,xmin,ymin,xmax,ymin,PETSC_DRAW_BLACK);CHKERRQ(ierr); 71 ierr = PetscDrawLine(draw,xmin,ymax,xmax,ymax,PETSC_DRAW_BLACK);CHKERRQ(ierr); 72 } 73 74 ierr = PetscDrawSynchronizedFlush(draw);CHKERRQ(ierr); 75 ierr = PetscDrawPause(draw);CHKERRQ(ierr); 76 77 /* draw my box */ 78 ymin = 0; ymax = 0.3; xmin = dd->xs / dd->w; xmax = (dd->xe / dd->w) - 1; 79 ierr = PetscDrawLine(draw,xmin,ymin,xmax,ymin,PETSC_DRAW_RED);CHKERRQ(ierr); 80 ierr = PetscDrawLine(draw,xmin,ymin,xmin,ymax,PETSC_DRAW_RED);CHKERRQ(ierr); 81 ierr = PetscDrawLine(draw,xmin,ymax,xmax,ymax,PETSC_DRAW_RED);CHKERRQ(ierr); 82 ierr = PetscDrawLine(draw,xmax,ymin,xmax,ymax,PETSC_DRAW_RED);CHKERRQ(ierr); 83 84 /* Put in index numbers */ 85 base = dd->base / dd->w; 86 for (x=xmin; x<=xmax; x++) { 87 sprintf(node,"%d",(int)base++); 88 ierr = PetscDrawString(draw,x,ymin,PETSC_DRAW_RED,node);CHKERRQ(ierr); 89 } 90 91 ierr = PetscDrawSynchronizedFlush(draw);CHKERRQ(ierr); 92 ierr = PetscDrawPause(draw);CHKERRQ(ierr); 93 } else if (isbinary) { 94 ierr = DMView_DA_Binary(da,viewer);CHKERRQ(ierr); 95 #if defined(PETSC_HAVE_MATLAB_ENGINE) 96 } else if (ismatlab) { 97 ierr = DMView_DA_Matlab(da,viewer);CHKERRQ(ierr); 98 #endif 99 } 100 PetscFunctionReturn(0); 101 } 102 103 104 #undef __FUNCT__ 105 #define __FUNCT__ "DMSetUp_DA_1D" 106 PetscErrorCode DMSetUp_DA_1D(DM da) 107 { 108 DM_DA *dd = (DM_DA*)da->data; 109 const PetscInt M = dd->M; 110 const PetscInt dof = dd->w; 111 const PetscInt s = dd->s; 112 const PetscInt sDist = s*dof; /* absolute stencil distance */ 113 const PetscInt *lx = dd->lx; 114 DMDABoundaryType bx = dd->bx; 115 MPI_Comm comm; 116 Vec local, global; 117 VecScatter ltog, gtol; 118 IS to, from; 119 PetscBool flg1 = PETSC_FALSE, flg2 = PETSC_FALSE; 120 PetscMPIInt rank, size; 121 PetscInt i,j,*idx,nn,left,xs,xe,x,Xs,Xe,start,end,m,IXs,IXe; 122 PetscErrorCode ierr; 123 124 PetscFunctionBegin; 125 ierr = PetscObjectGetComm((PetscObject) da, &comm);CHKERRQ(ierr); 126 ierr = MPI_Comm_size(comm,&size);CHKERRQ(ierr); 127 ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); 128 129 dd->m = size; 130 m = dd->m; 131 132 if (s > 0) { 133 /* if not communicating data then should be ok to have nothing on some processes */ 134 if (M < m) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"More processes than data points! %D %D",m,M); 135 if ((M-1) < s) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Array is too small for stencil! %D %D",M-1,s); 136 } 137 138 /* 139 Determine locally owned region 140 xs is the first local node number, x is the number of local nodes 141 */ 142 if (!lx) { 143 ierr = PetscMalloc(m*sizeof(PetscInt), &dd->lx);CHKERRQ(ierr); 144 ierr = PetscOptionsGetBool(PETSC_NULL,"-da_partition_blockcomm",&flg1,PETSC_NULL);CHKERRQ(ierr); 145 ierr = PetscOptionsGetBool(PETSC_NULL,"-da_partition_nodes_at_end",&flg2,PETSC_NULL);CHKERRQ(ierr); 146 if (flg1) { /* Block Comm type Distribution */ 147 xs = rank*M/m; 148 x = (rank + 1)*M/m - xs; 149 } else if (flg2) { /* The odd nodes are evenly distributed across last nodes */ 150 x = (M + rank)/m; 151 if (M/m == x) { xs = rank*x; } 152 else { xs = rank*(x-1) + (M+rank)%(x*m); } 153 } else { /* The odd nodes are evenly distributed across the first k nodes */ 154 /* Regular PETSc Distribution */ 155 x = M/m + ((M % m) > rank); 156 if (rank >= (M % m)) {xs = (rank * (PetscInt)(M/m) + M % m);} 157 else {xs = rank * (PetscInt)(M/m) + rank;} 158 } 159 ierr = MPI_Allgather(&xs,1,MPIU_INT,dd->lx,1,MPIU_INT,comm);CHKERRQ(ierr); 160 for (i=0; i<m-1; i++) dd->lx[i] = dd->lx[i+1] - dd->lx[i]; 161 dd->lx[m-1] = M - dd->lx[m-1]; 162 } else { 163 x = lx[rank]; 164 xs = 0; 165 for (i=0; i<rank; i++) { 166 xs += lx[i]; 167 } 168 /* verify that data user provided is consistent */ 169 left = xs; 170 for (i=rank; i<size; i++) { 171 left += lx[i]; 172 } 173 if (left != M) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Sum of lx across processors not equal to M %D %D",left,M); 174 } 175 176 /* 177 check if the scatter requires more than one process neighbor or wraps around 178 the domain more than once 179 */ 180 if ((x < s) & ((M > 1) | (bx == DMDA_BOUNDARY_PERIODIC))) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Local x-width of domain x %D is smaller than stencil width s %D",x,s); 181 182 /* From now on x,xs,xe,Xs,Xe are the exact location in the array */ 183 x *= dof; 184 xs *= dof; 185 xe = xs + x; 186 187 /* determine ghost region (Xs) and region scattered into (IXs) */ 188 if (xs-sDist > 0) { 189 Xs = xs - sDist; 190 IXs = xs - sDist; 191 } else { 192 if (bx) { 193 Xs = xs - sDist; 194 } else { 195 Xs = 0; 196 } 197 IXs = 0; 198 } 199 if (xe+sDist <= M*dof) { 200 Xe = xe + sDist; 201 IXe = xe + sDist; 202 } else { 203 if (bx) { 204 Xe = xe + sDist; 205 } else { 206 Xe = M*dof; 207 } 208 IXe = M*dof; 209 } 210 211 if (bx == DMDA_BOUNDARY_PERIODIC || bx == DMDA_BOUNDARY_MIRROR) { 212 Xs = xs - sDist; 213 Xe = xe + sDist; 214 IXs = xs - sDist; 215 IXe = xe + sDist; 216 } 217 218 /* allocate the base parallel and sequential vectors */ 219 dd->Nlocal = x; 220 ierr = VecCreateMPIWithArray(comm,dof,dd->Nlocal,PETSC_DECIDE,0,&global);CHKERRQ(ierr); 221 dd->nlocal = (Xe-Xs); 222 ierr = VecCreateSeqWithArray(PETSC_COMM_SELF,dof,dd->nlocal,0,&local);CHKERRQ(ierr); 223 224 /* Create Local to Global Vector Scatter Context */ 225 /* local to global inserts non-ghost point region into global */ 226 ierr = VecGetOwnershipRange(global,&start,&end);CHKERRQ(ierr); 227 ierr = ISCreateStride(comm,x,start,1,&to);CHKERRQ(ierr); 228 ierr = ISCreateStride(comm,x,xs-Xs,1,&from);CHKERRQ(ierr); 229 ierr = VecScatterCreate(local,from,global,to,<og);CHKERRQ(ierr); 230 ierr = PetscLogObjectParent(da,ltog);CHKERRQ(ierr); 231 ierr = ISDestroy(&from);CHKERRQ(ierr); 232 ierr = ISDestroy(&to);CHKERRQ(ierr); 233 234 /* Create Global to Local Vector Scatter Context */ 235 /* global to local must retrieve ghost points */ 236 ierr = ISCreateStride(comm,(IXe-IXs),IXs-Xs,1,&to);CHKERRQ(ierr); 237 238 ierr = PetscMalloc((x+2*(sDist))*sizeof(PetscInt),&idx);CHKERRQ(ierr); 239 ierr = PetscLogObjectMemory(da,(x+2*(sDist))*sizeof(PetscInt));CHKERRQ(ierr); 240 241 for (i=0; i<IXs-Xs; i++) {idx[i] = -1; } /* prepend with -1s if needed for ghosted case*/ 242 243 nn = IXs-Xs; 244 if (bx == DMDA_BOUNDARY_PERIODIC) { /* Handle all cases with periodic first */ 245 for (i=0; i<sDist; i++) { /* Left ghost points */ 246 if ((xs-sDist+i)>=0) {idx[nn++] = xs-sDist+i;} 247 else {idx[nn++] = M*dof+(xs-sDist+i);} 248 } 249 250 for (i=0; i<x; i++) { idx [nn++] = xs + i;} /* Non-ghost points */ 251 252 for (i=0; i<sDist; i++) { /* Right ghost points */ 253 if ((xe+i)<M*dof) {idx [nn++] = xe+i; } 254 else {idx [nn++] = (xe+i) - M*dof;} 255 } 256 } else if (bx == DMDA_BOUNDARY_MIRROR) { /* Handle all cases with periodic first */ 257 for (i=0; i<(sDist)/dof; i++) { /* Left ghost points */ 258 for (j=0; j<dof; j++) { 259 if ((xs-sDist+i*dof + j)>=0) {idx[nn++] = xs-sDist+i*dof +j;} 260 else {idx[nn++] = sDist - dof*(i) + j;} 261 } 262 } 263 264 for (i=0; i<x; i++) { idx [nn++] = xs + i;} /* Non-ghost points */ 265 266 for (i=0; i<(sDist)/dof; i++) { /* Right ghost points */ 267 for (j=0; j<dof; j++) { 268 if ((xe+i)<M*dof) {idx[nn++] = xe+i*dof+j; } 269 else {idx[nn++] = M*dof - dof*(i + 2) + j ;} 270 } 271 } 272 } else { /* Now do all cases with no periodicity */ 273 if (0 <= xs-sDist) {for (i=0; i<sDist; i++) {idx[nn++] = xs - sDist + i;}} 274 else {for (i=0; i<xs; i++) {idx[nn++] = i;}} 275 276 for (i=0; i<x; i++) { idx [nn++] = xs + i;} 277 278 if ((xe+sDist)<=M*dof) {for (i=0; i<sDist; i++) {idx[nn++]=xe+i;}} 279 else {for (i=xe; i<(M*dof); i++) {idx[nn++]=i;}} 280 } 281 282 ierr = ISCreateGeneral(comm,nn-IXs+Xs,&idx[IXs-Xs],PETSC_COPY_VALUES,&from);CHKERRQ(ierr); 283 ierr = VecScatterCreate(global,from,local,to,>ol);CHKERRQ(ierr); 284 ierr = PetscLogObjectParent(da,to);CHKERRQ(ierr); 285 ierr = PetscLogObjectParent(da,from);CHKERRQ(ierr); 286 ierr = PetscLogObjectParent(da,gtol);CHKERRQ(ierr); 287 ierr = ISDestroy(&to);CHKERRQ(ierr); 288 ierr = ISDestroy(&from);CHKERRQ(ierr); 289 ierr = VecDestroy(&local);CHKERRQ(ierr); 290 ierr = VecDestroy(&global);CHKERRQ(ierr); 291 292 dd->xs = xs; dd->xe = xe; dd->ys = 0; dd->ye = 1; dd->zs = 0; dd->ze = 1; 293 dd->Xs = Xs; dd->Xe = Xe; dd->Ys = 0; dd->Ye = 1; dd->Zs = 0; dd->Ze = 1; 294 295 dd->gtol = gtol; 296 dd->ltog = ltog; 297 dd->base = xs; 298 da->ops->view = DMView_DA_1d; 299 300 /* 301 Set the local to global ordering in the global vector, this allows use 302 of VecSetValuesLocal(). 303 */ 304 for (i=0; i<Xe-IXe; i++) {idx[nn++] = -1; } /* pad with -1s if needed for ghosted case*/ 305 306 ierr = ISLocalToGlobalMappingCreate(comm,nn,idx,PETSC_COPY_VALUES,&da->ltogmap);CHKERRQ(ierr); 307 ierr = ISLocalToGlobalMappingBlock(da->ltogmap,dd->w,&da->ltogmapb);CHKERRQ(ierr); 308 ierr = PetscLogObjectParent(da,da->ltogmap);CHKERRQ(ierr); 309 310 dd->idx = idx; 311 dd->Nl = nn; 312 PetscFunctionReturn(0); 313 } 314 315 316 #undef __FUNCT__ 317 #define __FUNCT__ "DMDACreate1d" 318 /*@C 319 DMDACreate1d - Creates an object that will manage the communication of one-dimensional 320 regular array data that is distributed across some processors. 321 322 Collective on MPI_Comm 323 324 Input Parameters: 325 + comm - MPI communicator 326 . bx - type of ghost cells at the boundary the array should have, if any. Use 327 DMDA_BOUNDARY_NONE, DMDA_BOUNDARY_GHOSTED, or DMDA_BOUNDARY_PERIODIC. 328 . M - global dimension of the array (use -M to indicate that it may be set to a different value 329 from the command line with -da_grid_x <M>) 330 . dof - number of degrees of freedom per node 331 . s - stencil width 332 - lx - array containing number of nodes in the X direction on each processor, 333 or PETSC_NULL. If non-null, must be of length as the number of processes in the MPI_Comm. 334 335 Output Parameter: 336 . da - the resulting distributed array object 337 338 Options Database Key: 339 + -dm_view - Calls DMView() at the conclusion of DMDACreate1d() 340 . -da_grid_x <nx> - number of grid points in x direction; can set if M < 0 341 . -da_refine_x <rx> - refinement factor 342 - -da_refine <n> - refine the DMDA n times before creating it, if M < 0 343 344 Level: beginner 345 346 Notes: 347 The array data itself is NOT stored in the DMDA, it is stored in Vec objects; 348 The appropriate vector objects can be obtained with calls to DMCreateGlobalVector() 349 and DMCreateLocalVector() and calls to VecDuplicate() if more are needed. 350 351 .keywords: distributed array, create, one-dimensional 352 353 .seealso: DMDestroy(), DMView(), DMDACreate2d(), DMDACreate3d(), DMGlobalToLocalBegin(), DMDASetRefinementFactor(), 354 DMGlobalToLocalEnd(), DMLocalToGlobalBegin(), DMDALocalToLocalBegin(), DMDALocalToLocalEnd(), DMDAGetRefinementFactor(), 355 DMDAGetInfo(), DMCreateGlobalVector(), DMCreateLocalVector(), DMDACreateNaturalVector(), DMLoad(), DMDAGetOwnershipRanges() 356 357 @*/ 358 PetscErrorCode DMDACreate1d(MPI_Comm comm, DMDABoundaryType bx, PetscInt M, PetscInt dof, PetscInt s, const PetscInt lx[], DM *da) 359 { 360 PetscErrorCode ierr; 361 PetscMPIInt size; 362 363 PetscFunctionBegin; 364 ierr = DMDACreate(comm, da);CHKERRQ(ierr); 365 ierr = DMDASetDim(*da, 1);CHKERRQ(ierr); 366 ierr = DMDASetSizes(*da, M, 1, 1);CHKERRQ(ierr); 367 ierr = MPI_Comm_size(comm, &size);CHKERRQ(ierr); 368 ierr = DMDASetNumProcs(*da, size, PETSC_DECIDE, PETSC_DECIDE);CHKERRQ(ierr); 369 ierr = DMDASetBoundaryType(*da, bx, DMDA_BOUNDARY_NONE, DMDA_BOUNDARY_NONE);CHKERRQ(ierr); 370 ierr = DMDASetDof(*da, dof);CHKERRQ(ierr); 371 ierr = DMDASetStencilWidth(*da, s);CHKERRQ(ierr); 372 ierr = DMDASetOwnershipRanges(*da, lx, PETSC_NULL, PETSC_NULL);CHKERRQ(ierr); 373 /* This violates the behavior for other classes, but right now users expect negative dimensions to be handled this way */ 374 ierr = DMSetFromOptions(*da);CHKERRQ(ierr); 375 ierr = DMSetUp(*da);CHKERRQ(ierr); 376 ierr = DMViewFromOptions(*da,"-dm_view");CHKERRQ(ierr); 377 PetscFunctionReturn(0); 378 } 379