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 /* ADIC doesn't like doubles in a for loop */ 66 for (xmin_tmp =0; xmin_tmp < dd->M; xmin_tmp++) { 67 ierr = PetscDrawLine(draw,(double)xmin_tmp,ymin,(double)xmin_tmp,ymax,PETSC_DRAW_BLACK);CHKERRQ(ierr); 68 } 69 70 xmin = 0.0; xmax = dd->M - 1; 71 ierr = PetscDrawLine(draw,xmin,ymin,xmax,ymin,PETSC_DRAW_BLACK);CHKERRQ(ierr); 72 ierr = PetscDrawLine(draw,xmin,ymax,xmax,ymax,PETSC_DRAW_BLACK);CHKERRQ(ierr); 73 } 74 75 ierr = PetscDrawSynchronizedFlush(draw);CHKERRQ(ierr); 76 ierr = PetscDrawPause(draw);CHKERRQ(ierr); 77 78 /* draw my box */ 79 ymin = 0; ymax = 0.3; xmin = dd->xs / dd->w; xmax = (dd->xe / dd->w) - 1; 80 ierr = PetscDrawLine(draw,xmin,ymin,xmax,ymin,PETSC_DRAW_RED);CHKERRQ(ierr); 81 ierr = PetscDrawLine(draw,xmin,ymin,xmin,ymax,PETSC_DRAW_RED);CHKERRQ(ierr); 82 ierr = PetscDrawLine(draw,xmin,ymax,xmax,ymax,PETSC_DRAW_RED);CHKERRQ(ierr); 83 ierr = PetscDrawLine(draw,xmax,ymin,xmax,ymax,PETSC_DRAW_RED);CHKERRQ(ierr); 84 85 /* Put in index numbers */ 86 base = dd->base / dd->w; 87 for (x=xmin; x<=xmax; x++) { 88 sprintf(node,"%d",(int)base++); 89 ierr = PetscDrawString(draw,x,ymin,PETSC_DRAW_RED,node);CHKERRQ(ierr); 90 } 91 92 ierr = PetscDrawSynchronizedFlush(draw);CHKERRQ(ierr); 93 ierr = PetscDrawPause(draw);CHKERRQ(ierr); 94 } else if (isbinary){ 95 ierr = DMView_DA_Binary(da,viewer);CHKERRQ(ierr); 96 #if defined(PETSC_HAVE_MATLAB_ENGINE) 97 } else if (ismatlab) { 98 ierr = DMView_DA_Matlab(da,viewer);CHKERRQ(ierr); 99 #endif 100 } else SETERRQ1(((PetscObject)da)->comm,PETSC_ERR_SUP,"Viewer type %s not supported for DMDA 1d",((PetscObject)viewer)->type_name); 101 PetscFunctionReturn(0); 102 } 103 104 105 #undef __FUNCT__ 106 #define __FUNCT__ "DMSetUp_DA_1D" 107 PetscErrorCode DMSetUp_DA_1D(DM da) 108 { 109 DM_DA *dd = (DM_DA*)da->data; 110 const PetscInt M = dd->M; 111 const PetscInt dof = dd->w; 112 const PetscInt s = dd->s; 113 const PetscInt o = dd->overlap; 114 const PetscInt sDist = s*dof; /* absolute stencil distance */ 115 const PetscInt oDist = o*dof; 116 const PetscInt *lx = dd->lx; 117 DMDABoundaryType bx = dd->bx; 118 MPI_Comm comm; 119 Vec local, global; 120 VecScatter ltog, gtol; 121 IS to, from; 122 PetscBool flg1 = PETSC_FALSE, flg2 = PETSC_FALSE; 123 PetscMPIInt rank, size; 124 PetscInt i,j,*idx,nn,left,xs,xe,x,Xs,Xe,start,end,m,IXs,IXe; 125 PetscErrorCode ierr; 126 127 PetscFunctionBegin; 128 ierr = PetscObjectGetComm((PetscObject) da, &comm);CHKERRQ(ierr); 129 ierr = MPI_Comm_size(comm,&size);CHKERRQ(ierr); 130 ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); 131 132 dd->m = size; 133 m = dd->m; 134 135 if (s > 0) { 136 /* if not communicating data then should be ok to have nothing on some processes */ 137 if (M < m) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"More processes than data points! %D %D",m,M); 138 if ((M-1) < s) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Array is too small for stencil! %D %D",M-1,s); 139 } 140 141 /* 142 Determine locally owned region 143 xs is the first local node number, x is the number of local nodes 144 */ 145 if (!lx) { 146 ierr = PetscMalloc(m*sizeof(PetscInt), &dd->lx);CHKERRQ(ierr); 147 ierr = PetscOptionsGetBool(PETSC_NULL,"-da_partition_blockcomm",&flg1,PETSC_NULL);CHKERRQ(ierr); 148 ierr = PetscOptionsGetBool(PETSC_NULL,"-da_partition_nodes_at_end",&flg2,PETSC_NULL);CHKERRQ(ierr); 149 if (flg1) { /* Block Comm type Distribution */ 150 xs = rank*M/m; 151 x = (rank + 1)*M/m - xs; 152 } else if (flg2) { /* The odd nodes are evenly distributed across last nodes */ 153 x = (M + rank)/m; 154 if (M/m == x) { xs = rank*x; } 155 else { xs = rank*(x-1) + (M+rank)%(x*m); } 156 } else { /* The odd nodes are evenly distributed across the first k nodes */ 157 /* Regular PETSc Distribution */ 158 x = M/m + ((M % m) > rank); 159 if (rank >= (M % m)) {xs = (rank * (PetscInt)(M/m) + M % m);} 160 else {xs = rank * (PetscInt)(M/m) + rank;} 161 } 162 ierr = MPI_Allgather(&xs,1,MPIU_INT,dd->lx,1,MPIU_INT,comm);CHKERRQ(ierr); 163 for (i=0; i<m-1; i++) dd->lx[i] = dd->lx[i+1] - dd->lx[i]; 164 dd->lx[m-1] = M - dd->lx[m-1]; 165 } else { 166 x = lx[rank]; 167 xs = 0; 168 for (i=0; i<rank; i++) { 169 xs += lx[i]; 170 } 171 /* verify that data user provided is consistent */ 172 left = xs; 173 for (i=rank; i<size; i++) { 174 left += lx[i]; 175 } 176 if (left != M) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Sum of lx across processors not equal to M %D %D",left,M); 177 } 178 179 /* 180 check if the scatter requires more than one process neighbor or wraps around 181 the domain more than once 182 */ 183 if ((x < s+o) & ((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+o); 184 185 /* From now on x,xs,xe,Xs,Xe are the exact location in the array */ 186 x *= dof; 187 xs *= dof; 188 xe = xs + x; 189 190 /* determine ghost region (Xs) and region scattered into (IXs) */ 191 if (xs-sDist-oDist > 0) { 192 Xs = xs - sDist - oDist; 193 IXs = xs - sDist - oDist; 194 } else { 195 if (bx) { 196 Xs = xs - sDist; 197 } else { 198 Xs = 0; 199 } 200 IXs = 0; 201 } 202 if (xe+sDist+oDist <= M*dof) { 203 Xe = xe + sDist + oDist; 204 IXe = xe + sDist + oDist; 205 } else { 206 if (bx) { 207 Xe = xe + sDist; 208 } else { 209 Xe = M*dof; 210 } 211 IXe = M*dof; 212 } 213 214 if (bx == DMDA_BOUNDARY_PERIODIC || bx == DMDA_BOUNDARY_MIRROR) { 215 Xs = xs - sDist - oDist; 216 Xe = xe + sDist + oDist; 217 IXs = xs - sDist - oDist; 218 IXe = xe + sDist + oDist; 219 } 220 221 /* allocate the base parallel and sequential vectors */ 222 dd->Nlocal = x; 223 ierr = VecCreateMPIWithArray(comm,dof,dd->Nlocal,PETSC_DECIDE,0,&global);CHKERRQ(ierr); 224 dd->nlocal = (Xe-Xs); 225 ierr = VecCreateSeqWithArray(PETSC_COMM_SELF,dof,dd->nlocal,0,&local);CHKERRQ(ierr); 226 227 /* Create Local to Global Vector Scatter Context */ 228 /* local to global inserts non-ghost point region into global */ 229 ierr = VecGetOwnershipRange(global,&start,&end);CHKERRQ(ierr); 230 ierr = ISCreateStride(comm,x,start,1,&to);CHKERRQ(ierr); 231 ierr = ISCreateStride(comm,x,xs-Xs,1,&from);CHKERRQ(ierr); 232 ierr = VecScatterCreate(local,from,global,to,<og);CHKERRQ(ierr); 233 ierr = PetscLogObjectParent(da,ltog);CHKERRQ(ierr); 234 ierr = ISDestroy(&from);CHKERRQ(ierr); 235 ierr = ISDestroy(&to);CHKERRQ(ierr); 236 237 /* Create Global to Local Vector Scatter Context */ 238 /* global to local must retrieve ghost points */ 239 ierr = ISCreateStride(comm,(IXe-IXs),IXs-Xs,1,&to);CHKERRQ(ierr); 240 241 ierr = PetscMalloc((x+2*(sDist+oDist))*sizeof(PetscInt),&idx);CHKERRQ(ierr); 242 ierr = PetscLogObjectMemory(da,(x+2*(sDist+oDist))*sizeof(PetscInt));CHKERRQ(ierr); 243 244 for (i=0; i<IXs-Xs; i++) {idx[i] = -1; } /* prepend with -1s if needed for ghosted case*/ 245 246 nn = IXs-Xs; 247 if (bx == DMDA_BOUNDARY_PERIODIC) { /* Handle all cases with periodic first */ 248 for (i=0; i<sDist+oDist; i++) { /* Left ghost points */ 249 if ((xs-sDist-oDist+i)>=0) {idx[nn++] = xs-sDist-oDist+i;} 250 else {idx[nn++] = M*dof+(xs-sDist-oDist+i);} 251 } 252 253 for (i=0; i<x; i++) { idx [nn++] = xs + i;} /* Non-ghost points */ 254 255 for (i=0; i<sDist+oDist; i++) { /* Right ghost points */ 256 if ((xe+i)<M*dof) {idx [nn++] = xe+i; } 257 else {idx [nn++] = (xe+i) - M*dof;} 258 } 259 } else if (bx == DMDA_BOUNDARY_MIRROR) { /* Handle all cases with periodic first */ 260 for (i=0; i<(sDist+oDist)/dof; i++) { /* Left ghost points */ 261 for (j=0; j<dof; j++) { 262 if ((xs-sDist-oDist+i*dof + j)>=0) {idx[nn++] = xs-sDist-oDist+i*dof +j;} 263 else {idx[nn++] = sDist+oDist - dof*(i) + j;} 264 } 265 } 266 267 for (i=0; i<x; i++) { idx [nn++] = xs + i;} /* Non-ghost points */ 268 269 for (i=0; i<(sDist+oDist)/dof; i++) { /* Right ghost points */ 270 for (j=0; j<dof; j++) { 271 if ((xe+i)<M*dof) {idx[nn++] = xe+i*dof+j; } 272 else {idx[nn++] = M*dof - dof*(i + 2) + j ;} 273 } 274 } 275 } else { /* Now do all cases with no periodicity */ 276 if (0 <= xs-sDist-oDist) {for (i=0; i<sDist+oDist; i++) {idx[nn++] = xs - sDist - oDist + i;}} 277 else {for (i=0; i<xs; i++) {idx[nn++] = i;}} 278 279 for (i=0; i<x; i++) { idx [nn++] = xs + i;} 280 281 if ((xe+sDist+oDist)<=M*dof) {for (i=0; i<sDist+oDist; i++) {idx[nn++]=xe+i;}} 282 else {for (i=xe; i<(M*dof); i++) {idx[nn++]=i;}} 283 } 284 285 ierr = ISCreateGeneral(comm,nn-IXs+Xs,&idx[IXs-Xs],PETSC_COPY_VALUES,&from);CHKERRQ(ierr); 286 ierr = VecScatterCreate(global,from,local,to,>ol);CHKERRQ(ierr); 287 ierr = PetscLogObjectParent(da,to);CHKERRQ(ierr); 288 ierr = PetscLogObjectParent(da,from);CHKERRQ(ierr); 289 ierr = PetscLogObjectParent(da,gtol);CHKERRQ(ierr); 290 ierr = ISDestroy(&to);CHKERRQ(ierr); 291 ierr = ISDestroy(&from);CHKERRQ(ierr); 292 ierr = VecDestroy(&local);CHKERRQ(ierr); 293 ierr = VecDestroy(&global);CHKERRQ(ierr); 294 295 dd->xs = xs; dd->xe = xe; dd->ys = 0; dd->ye = 1; dd->zs = 0; dd->ze = 1; 296 dd->Xs = Xs; dd->Xe = Xe; dd->Ys = 0; dd->Ye = 1; dd->Zs = 0; dd->Ze = 1; 297 298 dd->gtol = gtol; 299 dd->ltog = ltog; 300 dd->base = xs; 301 da->ops->view = DMView_DA_1d; 302 303 /* 304 Set the local to global ordering in the global vector, this allows use 305 of VecSetValuesLocal(). 306 */ 307 for (i=0; i<Xe-IXe; i++) {idx[nn++] = -1; } /* pad with -1s if needed for ghosted case*/ 308 309 ierr = ISLocalToGlobalMappingCreate(comm,nn,idx,PETSC_COPY_VALUES,&da->ltogmap);CHKERRQ(ierr); 310 ierr = ISLocalToGlobalMappingBlock(da->ltogmap,dd->w,&da->ltogmapb);CHKERRQ(ierr); 311 ierr = PetscLogObjectParent(da,da->ltogmap);CHKERRQ(ierr); 312 313 dd->idx = idx; 314 dd->Nl = nn; 315 316 PetscFunctionReturn(0); 317 } 318 319 320 #undef __FUNCT__ 321 #define __FUNCT__ "DMDACreate1d" 322 /*@C 323 DMDACreate1d - Creates an object that will manage the communication of one-dimensional 324 regular array data that is distributed across some processors. 325 326 Collective on MPI_Comm 327 328 Input Parameters: 329 + comm - MPI communicator 330 . bx - type of ghost cells at the boundary the array should have, if any. Use 331 DMDA_BOUNDARY_NONE, DMDA_BOUNDARY_GHOSTED, or DMDA_BOUNDARY_PERIODIC. 332 . M - global dimension of the array (use -M to indicate that it may be set to a different value 333 from the command line with -da_grid_x <M>) 334 . dof - number of degrees of freedom per node 335 . s - stencil width 336 - lx - array containing number of nodes in the X direction on each processor, 337 or PETSC_NULL. If non-null, must be of length as the number of processes in the MPI_Comm. 338 339 Output Parameter: 340 . da - the resulting distributed array object 341 342 Options Database Key: 343 + -dm_view - Calls DMView() at the conclusion of DMDACreate1d() 344 . -da_grid_x <nx> - number of grid points in x direction; can set if M < 0 345 . -da_refine_x <rx> - refinement factor 346 - -da_refine <n> - refine the DMDA n times before creating it, if M < 0 347 348 Level: beginner 349 350 Notes: 351 The array data itself is NOT stored in the DMDA, it is stored in Vec objects; 352 The appropriate vector objects can be obtained with calls to DMCreateGlobalVector() 353 and DMCreateLocalVector() and calls to VecDuplicate() if more are needed. 354 355 .keywords: distributed array, create, one-dimensional 356 357 .seealso: DMDestroy(), DMView(), DMDACreate2d(), DMDACreate3d(), DMGlobalToLocalBegin(), DMDASetRefinementFactor(), 358 DMGlobalToLocalEnd(), DMLocalToGlobalBegin(), DMDALocalToLocalBegin(), DMDALocalToLocalEnd(), DMDAGetRefinementFactor(), 359 DMDAGetInfo(), DMCreateGlobalVector(), DMCreateLocalVector(), DMDACreateNaturalVector(), DMLoad(), DMDAGetOwnershipRanges() 360 361 @*/ 362 PetscErrorCode DMDACreate1d(MPI_Comm comm, DMDABoundaryType bx, PetscInt M, PetscInt dof, PetscInt s, const PetscInt lx[], DM *da) 363 { 364 PetscErrorCode ierr; 365 PetscMPIInt size; 366 367 PetscFunctionBegin; 368 ierr = DMDACreate(comm, da);CHKERRQ(ierr); 369 ierr = DMDASetDim(*da, 1);CHKERRQ(ierr); 370 ierr = DMDASetSizes(*da, M, 1, 1);CHKERRQ(ierr); 371 ierr = MPI_Comm_size(comm, &size);CHKERRQ(ierr); 372 ierr = DMDASetNumProcs(*da, size, PETSC_DECIDE, PETSC_DECIDE);CHKERRQ(ierr); 373 ierr = DMDASetBoundaryType(*da, bx, DMDA_BOUNDARY_NONE, DMDA_BOUNDARY_NONE);CHKERRQ(ierr); 374 ierr = DMDASetDof(*da, dof);CHKERRQ(ierr); 375 ierr = DMDASetStencilWidth(*da, s);CHKERRQ(ierr); 376 ierr = DMDASetOwnershipRanges(*da, lx, PETSC_NULL, PETSC_NULL);CHKERRQ(ierr); 377 /* This violates the behavior for other classes, but right now users expect negative dimensions to be handled this way */ 378 ierr = DMSetFromOptions(*da);CHKERRQ(ierr); 379 ierr = DMSetUp(*da);CHKERRQ(ierr); 380 ierr = DMViewFromOptions(*da,"-dm_view");CHKERRQ(ierr); 381 PetscFunctionReturn(0); 382 } 383