Date: 2016-07-24T16:58:56+00:00

Actual source code: da1.c
petsc-3.7.3 2016-07-24
Report Typos and Errors

      2: /*
      3:    Code for manipulating distributed regular 1d arrays in parallel.
      4:    This file was created by Peter Mell   6/30/95
      5: */

      7: #include <petsc/private/dmdaimpl.h>     /*I  "petscdmda.h"   I*/

      9: #include <petscdraw.h>
     12: static PetscErrorCode DMView_DA_1d(DM da,PetscViewer viewer)
     13: {
     15:   PetscMPIInt    rank;
     16:   PetscBool      iascii,isdraw,isbinary;
     17:   DM_DA          *dd = (DM_DA*)da->data;
     18: #if defined(PETSC_HAVE_MATLAB_ENGINE)
     19:   PetscBool ismatlab;
     20: #endif

     23:   MPI_Comm_rank(PetscObjectComm((PetscObject)da),&rank);

     25:   PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);
     26:   PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERDRAW,&isdraw);
     27:   PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERBINARY,&isbinary);
     28: #if defined(PETSC_HAVE_MATLAB_ENGINE)
     29:   PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERMATLAB,&ismatlab);
     30: #endif
     31:   if (iascii) {
     32:     PetscViewerFormat format;

     34:     PetscViewerGetFormat(viewer, &format);
     35:     if (format != PETSC_VIEWER_ASCII_VTK && format != PETSC_VIEWER_ASCII_VTK_CELL) {
     36:       DMDALocalInfo info;
     37:       DMDAGetLocalInfo(da,&info);
     38:       PetscViewerASCIIPushSynchronized(viewer);
     39:       PetscViewerASCIISynchronizedPrintf(viewer,"Processor [%d] M %D m %D w %D s %D\n",rank,dd->M,dd->m,dd->w,dd->s);
     40:       PetscViewerASCIISynchronizedPrintf(viewer,"X range of indices: %D %D\n",info.xs,info.xs+info.xm);
     41:       PetscViewerFlush(viewer);
     42:       PetscViewerASCIIPopSynchronized(viewer);
     43:     } else {
     44:       DMView_DA_VTK(da, viewer);
     45:     }
     46:   } else if (isdraw) {
     47:     PetscDraw draw;
     48:     double    ymin = -1,ymax = 1,xmin = -1,xmax = dd->M,x;
     49:     PetscInt  base;
     50:     char      node[10];
     51:     PetscBool isnull;

     53:     PetscViewerDrawGetDraw(viewer,0,&draw);
     54:     PetscDrawIsNull(draw,&isnull);
     55:     if (isnull) return(0);

     57:     PetscDrawCheckResizedWindow(draw);
     58:     PetscDrawClear(draw);
     59:     PetscDrawSetCoordinates(draw,xmin,ymin,xmax,ymax);

     61:     PetscDrawCollectiveBegin(draw);
     62:     /* first processor draws all node lines */
     63:     if (!rank) {
     64:       PetscInt xmin_tmp;
     65:       ymin = 0.0; ymax = 0.3;
     66:       for (xmin_tmp=0; xmin_tmp < dd->M; xmin_tmp++) {
     67:         PetscDrawLine(draw,(double)xmin_tmp,ymin,(double)xmin_tmp,ymax,PETSC_DRAW_BLACK);
     68:       }
     69:       xmin = 0.0; xmax = dd->M - 1;
     70:       PetscDrawLine(draw,xmin,ymin,xmax,ymin,PETSC_DRAW_BLACK);
     71:       PetscDrawLine(draw,xmin,ymax,xmax,ymax,PETSC_DRAW_BLACK);
     72:     }
     73:     PetscDrawCollectiveEnd(draw);
     74:     PetscDrawFlush(draw);
     75:     PetscDrawPause(draw);

     77:     PetscDrawCollectiveBegin(draw);
     78:     /* draw my box */
     79:     ymin = 0; ymax = 0.3; xmin = dd->xs / dd->w; xmax = (dd->xe / dd->w)  - 1;
     80:     PetscDrawLine(draw,xmin,ymin,xmax,ymin,PETSC_DRAW_RED);
     81:     PetscDrawLine(draw,xmin,ymin,xmin,ymax,PETSC_DRAW_RED);
     82:     PetscDrawLine(draw,xmin,ymax,xmax,ymax,PETSC_DRAW_RED);
     83:     PetscDrawLine(draw,xmax,ymin,xmax,ymax,PETSC_DRAW_RED);
     84:     /* Put in index numbers */
     85:     base = dd->base / dd->w;
     86:     for (x=xmin; x<=xmax; x++) {
     87:       PetscSNPrintf(node,sizeof(node),"%d",(int)base++);
     88:       PetscDrawString(draw,x,ymin,PETSC_DRAW_RED,node);
     89:     }
     90:     PetscDrawCollectiveEnd(draw);
     91:     PetscDrawFlush(draw);
     92:     PetscDrawPause(draw);
     93:     PetscDrawSave(draw);
     94:   } else if (isbinary) {
     95:     DMView_DA_Binary(da,viewer);
     96: #if defined(PETSC_HAVE_MATLAB_ENGINE)
     97:   } else if (ismatlab) {
     98:     DMView_DA_Matlab(da,viewer);
     99: #endif
    100:   }
    101:   return(0);
    102: }

    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   sDist = s;  /* stencil distance in points */
    114:   const PetscInt   *lx   = dd->lx;
    115:   DMBoundaryType   bx    = dd->bx;
    116:   MPI_Comm         comm;
    117:   Vec              local, global;
    118:   VecScatter       gtol;
    119:   IS               to, from;
    120:   PetscBool        flg1 = PETSC_FALSE, flg2 = PETSC_FALSE;
    121:   PetscMPIInt      rank, size;
    122:   PetscInt         i,*idx,nn,left,xs,xe,x,Xs,Xe,start,m,IXs,IXe;
    123:   PetscErrorCode   ierr;

    126:   PetscObjectGetComm((PetscObject) da, &comm);
    127:   MPI_Comm_size(comm,&size);
    128:   MPI_Comm_rank(comm,&rank);

    130:   dd->p = 1;
    131:   dd->n = 1;
    132:   dd->m = size;
    133:   m     = dd->m;

    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 && size > 1) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Array is too small for stencil! %D %D",M-1,s);
    139:   }

    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:     PetscMalloc1(m, &dd->lx);
    147:     PetscOptionsGetBool(((PetscObject)da)->options,((PetscObject)da)->prefix,"-da_partition_blockcomm",&flg1,NULL);
    148:     PetscOptionsGetBool(((PetscObject)da)->options,((PetscObject)da)->prefix,"-da_partition_nodes_at_end",&flg2,NULL);
    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:     MPI_Allgather(&xs,1,MPIU_INT,dd->lx,1,MPIU_INT,comm);
    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++) xs += lx[i];
    169:     /* verify that data user provided is consistent */
    170:     left = xs;
    171:     for (i=rank; i<size; i++) left += lx[i];
    172:     if (left != M) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Sum of lx across processors not equal to M %D %D",left,M);
    173:   }

    175:   /*
    176:    check if the scatter requires more than one process neighbor or wraps around
    177:    the domain more than once
    178:   */
    179:   if ((x < s) & ((M > 1) | (bx == DM_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:   xe  = xs + x;

    183:   /* determine ghost region (Xs) and region scattered into (IXs)  */
    184:   if (xs-sDist > 0) {
    185:     Xs  = xs - sDist;
    186:     IXs = xs - sDist;
    187:   } else {
    188:     if (bx) Xs = xs - sDist;
    189:     else Xs = 0;
    190:     IXs = 0;
    191:   }
    192:   if (xe+sDist <= M) {
    193:     Xe  = xe + sDist;
    194:     IXe = xe + sDist;
    195:   } else {
    196:     if (bx) Xe = xe + sDist;
    197:     else Xe = M;
    198:     IXe = M;
    199:   }

    201:   if (bx == DM_BOUNDARY_PERIODIC || bx == DM_BOUNDARY_MIRROR) {
    202:     Xs  = xs - sDist;
    203:     Xe  = xe + sDist;
    204:     IXs = xs - sDist;
    205:     IXe = xe + sDist;
    206:   }

    208:   /* allocate the base parallel and sequential vectors */
    209:   dd->Nlocal = dof*x;
    210:   VecCreateMPIWithArray(comm,dof,dd->Nlocal,PETSC_DECIDE,NULL,&global);
    211:   dd->nlocal = dof*(Xe-Xs);
    212:   VecCreateSeqWithArray(PETSC_COMM_SELF,dof,dd->nlocal,NULL,&local);

    214:   VecGetOwnershipRange(global,&start,NULL);

    216:   /* Create Global to Local Vector Scatter Context */
    217:   /* global to local must retrieve ghost points */
    218:   ISCreateStride(comm,dof*(IXe-IXs),dof*(IXs-Xs),1,&to);

    220:   PetscMalloc1(x+2*sDist,&idx);
    221:   PetscLogObjectMemory((PetscObject)da,(x+2*(sDist))*sizeof(PetscInt));

    223:   for (i=0; i<IXs-Xs; i++) idx[i] = -1; /* prepend with -1s if needed for ghosted case*/

    225:   nn = IXs-Xs;
    226:   if (bx == DM_BOUNDARY_PERIODIC) { /* Handle all cases with periodic first */
    227:     for (i=0; i<sDist; i++) {  /* Left ghost points */
    228:       if ((xs-sDist+i)>=0) idx[nn++] = xs-sDist+i;
    229:       else                 idx[nn++] = M+(xs-sDist+i);
    230:     }

    232:     for (i=0; i<x; i++) idx [nn++] = xs + i;  /* Non-ghost points */

    234:     for (i=0; i<sDist; i++) { /* Right ghost points */
    235:       if ((xe+i)<M) idx [nn++] =  xe+i;
    236:       else          idx [nn++] = (xe+i) - M;
    237:     }
    238:   } else if (bx == DM_BOUNDARY_MIRROR) { /* Handle all cases with periodic first */
    239:     for (i=0; i<(sDist); i++) {  /* Left ghost points */
    240:       if ((xs-sDist+i)>=0) idx[nn++] = xs-sDist+i;
    241:       else                 idx[nn++] = sDist - i;
    242:     }

    244:     for (i=0; i<x; i++) idx [nn++] = xs + i;  /* Non-ghost points */

    246:     for (i=0; i<(sDist); i++) { /* Right ghost points */
    247:       if ((xe+i)<M) idx[nn++] =  xe+i;
    248:       else          idx[nn++] = M - (i + 1);
    249:     }
    250:   } else {      /* Now do all cases with no periodicity */
    251:     if (0 <= xs-sDist) {
    252:       for (i=0; i<sDist; i++) idx[nn++] = xs - sDist + i;
    253:     } else {
    254:       for (i=0; i<xs; i++) idx[nn++] = i;
    255:     }

    257:     for (i=0; i<x; i++) idx [nn++] = xs + i;

    259:     if ((xe+sDist)<=M) {
    260:       for (i=0; i<sDist; i++) idx[nn++]=xe+i;
    261:     } else {
    262:       for (i=xe; i<M; i++) idx[nn++]=i;
    263:     }
    264:   }

    266:   ISCreateBlock(comm,dof,nn-IXs+Xs,&idx[IXs-Xs],PETSC_USE_POINTER,&from);
    267:   VecScatterCreate(global,from,local,to,&gtol);
    268:   PetscLogObjectParent((PetscObject)da,(PetscObject)gtol);
    269:   ISDestroy(&to);
    270:   ISDestroy(&from);
    271:   VecDestroy(&local);
    272:   VecDestroy(&global);

    274:   dd->xs = dof*xs; dd->xe = dof*xe; dd->ys = 0; dd->ye = 1; dd->zs = 0; dd->ze = 1;
    275:   dd->Xs = dof*Xs; dd->Xe = dof*Xe; dd->Ys = 0; dd->Ye = 1; dd->Zs = 0; dd->Ze = 1;

    277:   dd->gtol      = gtol;
    278:   dd->base      = dof*xs;
    279:   da->ops->view = DMView_DA_1d;

    281:   /*
    282:      Set the local to global ordering in the global vector, this allows use
    283:      of VecSetValuesLocal().
    284:   */
    285:   for (i=0; i<Xe-IXe; i++) idx[nn++] = -1; /* pad with -1s if needed for ghosted case*/

    287:   ISLocalToGlobalMappingCreate(comm,dof,nn,idx,PETSC_OWN_POINTER,&da->ltogmap);
    288:   PetscLogObjectParent((PetscObject)da,(PetscObject)da->ltogmap);

    290:   return(0);
    291: }

    296: /*@C
    297:    DMDACreate1d - Creates an object that will manage the communication of  one-dimensional
    298:    regular array data that is distributed across some processors.

    300:    Collective on MPI_Comm

    302:    Input Parameters:
    303: +  comm - MPI communicator
    304: .  bx - type of ghost cells at the boundary the array should have, if any. Use
    305:           DM_BOUNDARY_NONE, DM_BOUNDARY_GHOSTED, or DM_BOUNDARY_PERIODIC.
    306: .  M - global dimension of the array (use -M to indicate that it may be set to a different value
    307:             from the command line with -da_grid_x <M>)
    308: .  dof - number of degrees of freedom per node
    309: .  s - stencil width
    310: -  lx - array containing number of nodes in the X direction on each processor,
    311:         or NULL. If non-null, must be of length as the number of processes in the MPI_Comm.

    313:    Output Parameter:
    314: .  da - the resulting distributed array object

    316:    Options Database Key:
    317: +  -dm_view - Calls DMView() at the conclusion of DMDACreate1d()
    318: .  -da_grid_x <nx> - number of grid points in x direction; can set if M < 0
    319: .  -da_refine_x <rx> - refinement factor
    320: -  -da_refine <n> - refine the DMDA n times before creating it, if M < 0

    322:    Level: beginner

    324:    Notes:
    325:    The array data itself is NOT stored in the DMDA, it is stored in Vec objects;
    326:    The appropriate vector objects can be obtained with calls to DMCreateGlobalVector()
    327:    and DMCreateLocalVector() and calls to VecDuplicate() if more are needed.

    329: .keywords: distributed array, create, one-dimensional

    331: .seealso: DMDestroy(), DMView(), DMDACreate2d(), DMDACreate3d(), DMGlobalToLocalBegin(), DMDASetRefinementFactor(),
    332:           DMGlobalToLocalEnd(), DMLocalToGlobalBegin(), DMLocalToLocalBegin(), DMLocalToLocalEnd(), DMDAGetRefinementFactor(),
    333:           DMDAGetInfo(), DMCreateGlobalVector(), DMCreateLocalVector(), DMDACreateNaturalVector(), DMLoad(), DMDAGetOwnershipRanges()

    335: @*/
    336: PetscErrorCode  DMDACreate1d(MPI_Comm comm, DMBoundaryType bx, PetscInt M, PetscInt dof, PetscInt s, const PetscInt lx[], DM *da)
    337: {
    339:   PetscMPIInt    size;

    342:   DMDACreate(comm, da);
    343:   DMSetDimension(*da, 1);
    344:   DMDASetSizes(*da, M, 1, 1);
    345:   MPI_Comm_size(comm, &size);
    346:   DMDASetNumProcs(*da, size, PETSC_DECIDE, PETSC_DECIDE);
    347:   DMDASetBoundaryType(*da, bx, DM_BOUNDARY_NONE, DM_BOUNDARY_NONE);
    348:   DMDASetDof(*da, dof);
    349:   DMDASetStencilWidth(*da, s);
    350:   DMDASetOwnershipRanges(*da, lx, NULL, NULL);
    351:   /* This violates the behavior for other classes, but right now users expect negative dimensions to be handled this way */
    352:   DMSetFromOptions(*da);
    353:   DMSetUp(*da);
    354:   return(0);
    355: }