Actual source code: wb.c
petsc-3.13.6 2020-09-29
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      2:  #include <petscdmda.h>
      3:  #include <petsc/private/pcmgimpl.h>
      4:  #include <petscctable.h>

      6: typedef struct {
      7:   PCExoticType type;
      8:   Mat          P;            /* the constructed interpolation matrix */
      9:   PetscBool    directSolve;  /* use direct LU factorization to construct interpolation */
     10:   KSP          ksp;
     11: } PC_Exotic;

     13: const char *const PCExoticTypes[] = {"face","wirebasket","PCExoticType","PC_Exotic",0};

     16: /*
     17:       DMDAGetWireBasketInterpolation - Gets the interpolation for a wirebasket based coarse space

     19: */
     20: PetscErrorCode DMDAGetWireBasketInterpolation(PC pc,DM da,PC_Exotic *exotic,Mat Aglobal,MatReuse reuse,Mat *P)
     21: {
     22:   PetscErrorCode         ierr;
     23:   PetscInt               dim,i,j,k,m,n,p,dof,Nint,Nface,Nwire,Nsurf,*Iint,*Isurf,cint = 0,csurf = 0,istart,jstart,kstart,*II,N,c = 0;
     24:   PetscInt               mwidth,nwidth,pwidth,cnt,mp,np,pp,Ntotal,gl[26],*globals,Ng,*IIint,*IIsurf,Nt;
     25:   Mat                    Xint, Xsurf,Xint_tmp;
     26:   IS                     isint,issurf,is,row,col;
     27:   ISLocalToGlobalMapping ltg;
     28:   MPI_Comm               comm;
     29:   Mat                    A,Aii,Ais,Asi,*Aholder,iAii;
     30:   MatFactorInfo          info;
     31:   PetscScalar            *xsurf,*xint;
     32:   const PetscScalar      *rxint;
     33: #if defined(PETSC_USE_DEBUG_foo)
     34:   PetscScalar            tmp;
     35: #endif
     36:   PetscTable             ht;

     39:   DMDAGetInfo(da,&dim,0,0,0,&mp,&np,&pp,&dof,0,0,0,0,0);
     40:   if (dof != 1) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_SUP,"Only for single field problems");
     41:   if (dim != 3) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_SUP,"Only coded for 3d problems");
     42:   DMDAGetCorners(da,0,0,0,&m,&n,&p);
     43:   DMDAGetGhostCorners(da,&istart,&jstart,&kstart,&mwidth,&nwidth,&pwidth);
     44:   istart = istart ? -1 : 0;
     45:   jstart = jstart ? -1 : 0;
     46:   kstart = kstart ? -1 : 0;

     48:   /*
     49:     the columns of P are the interpolation of each coarse grid point (one for each vertex and edge)
     50:     to all the local degrees of freedom (this includes the vertices, edges and faces).

     52:     Xint are the subset of the interpolation into the interior

     54:     Xface are the interpolation onto faces but not into the interior

     56:     Xsurf are the interpolation onto the vertices and edges (the surfbasket)
     57:                                       Xint
     58:     Symbolically one could write P = (Xface) after interchanging the rows to match the natural ordering on the domain
     59:                                       Xsurf
     60:   */
     61:   N     = (m - istart)*(n - jstart)*(p - kstart);
     62:   Nint  = (m-2-istart)*(n-2-jstart)*(p-2-kstart);
     63:   Nface = 2*((m-2-istart)*(n-2-jstart) + (m-2-istart)*(p-2-kstart) + (n-2-jstart)*(p-2-kstart));
     64:   Nwire = 4*((m-2-istart) + (n-2-jstart) + (p-2-kstart)) + 8;
     65:   Nsurf = Nface + Nwire;
     66:   MatCreateSeqDense(MPI_COMM_SELF,Nint,26,NULL,&Xint);
     67:   MatCreateSeqDense(MPI_COMM_SELF,Nsurf,26,NULL,&Xsurf);
     68:   MatDenseGetArray(Xsurf,&xsurf);

     70:   /*
     71:      Require that all 12 edges and 6 faces have at least one grid point. Otherwise some of the columns of
     72:      Xsurf will be all zero (thus making the coarse matrix singular).
     73:   */
     74:   if (m-istart < 3) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Number of grid points per process in X direction must be at least 3");
     75:   if (n-jstart < 3) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Number of grid points per process in Y direction must be at least 3");
     76:   if (p-kstart < 3) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Number of grid points per process in Z direction must be at least 3");

     78:   cnt = 0;

     80:   xsurf[cnt++] = 1;
     81:   for (i=1; i<m-istart-1; i++) xsurf[cnt++ + Nsurf] = 1;
     82:   xsurf[cnt++ + 2*Nsurf] = 1;

     84:   for (j=1; j<n-1-jstart; j++) {
     85:     xsurf[cnt++ + 3*Nsurf] = 1;
     86:     for (i=1; i<m-istart-1; i++) xsurf[cnt++ + 4*Nsurf] = 1;
     87:     xsurf[cnt++ + 5*Nsurf] = 1;
     88:   }

     90:   xsurf[cnt++ + 6*Nsurf] = 1;
     91:   for (i=1; i<m-istart-1; i++) xsurf[cnt++ + 7*Nsurf] = 1;
     92:   xsurf[cnt++ + 8*Nsurf] = 1;

     94:   for (k=1; k<p-1-kstart; k++) {
     95:     xsurf[cnt++ + 9*Nsurf] = 1;
     96:     for (i=1; i<m-istart-1; i++) xsurf[cnt++ + 10*Nsurf] = 1;
     97:     xsurf[cnt++ + 11*Nsurf] = 1;

     99:     for (j=1; j<n-1-jstart; j++) {
    100:       xsurf[cnt++ + 12*Nsurf] = 1;
    101:       /* these are the interior nodes */
    102:       xsurf[cnt++ + 13*Nsurf] = 1;
    103:     }

    105:     xsurf[cnt++ + 14*Nsurf] = 1;
    106:     for (i=1; i<m-istart-1; i++) xsurf[cnt++ + 15*Nsurf] = 1;
    107:     xsurf[cnt++ + 16*Nsurf] = 1;
    108:   }

    110:   xsurf[cnt++ + 17*Nsurf] = 1;
    111:   for (i=1; i<m-istart-1; i++) xsurf[cnt++ + 18*Nsurf] = 1;
    112:   xsurf[cnt++ + 19*Nsurf] = 1;

    114:   for (j=1;j<n-1-jstart;j++) {
    115:     xsurf[cnt++ + 20*Nsurf] = 1;
    116:     for (i=1; i<m-istart-1; i++) xsurf[cnt++ + 21*Nsurf] = 1;
    117:     xsurf[cnt++ + 22*Nsurf] = 1;
    118:   }

    120:   xsurf[cnt++ + 23*Nsurf] = 1;
    121:   for (i=1; i<m-istart-1; i++) xsurf[cnt++ + 24*Nsurf] = 1;
    122:   xsurf[cnt++ + 25*Nsurf] = 1;

    125:   /* interpolations only sum to 1 when using direct solver */
    126: #if defined(PETSC_USE_DEBUG_foo)
    127:   for (i=0; i<Nsurf; i++) {
    128:     tmp = 0.0;
    129:     for (j=0; j<26; j++) tmp += xsurf[i+j*Nsurf];
    130:     if (PetscAbsScalar(tmp-1.0) > 1.e-10) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Wrong Xsurf interpolation at i %D value %g",i,(double)PetscAbsScalar(tmp));
    131:   }
    132: #endif
    133:   MatDenseRestoreArray(Xsurf,&xsurf);
    134:   /* MatView(Xsurf,PETSC_VIEWER_STDOUT_WORLD);*/

    137:   /*
    138:        I are the indices for all the needed vertices (in global numbering)
    139:        Iint are the indices for the interior values, I surf for the surface values
    140:             (This is just for the part of the global matrix obtained with MatCreateSubMatrix(), it
    141:              is NOT the local DMDA ordering.)
    142:        IIint and IIsurf are the same as the Iint, Isurf except they are in the global numbering
    143:   */
    144: #define Endpoint(a,start,b) (a == 0 || a == (b-1-start))
    145:   PetscMalloc3(N,&II,Nint,&Iint,Nsurf,&Isurf);
    146:   PetscMalloc2(Nint,&IIint,Nsurf,&IIsurf);
    147:   for (k=0; k<p-kstart; k++) {
    148:     for (j=0; j<n-jstart; j++) {
    149:       for (i=0; i<m-istart; i++) {
    150:         II[c++] = i + j*mwidth + k*mwidth*nwidth;

    152:         if (!Endpoint(i,istart,m) && !Endpoint(j,jstart,n) && !Endpoint(k,kstart,p)) {
    153:           IIint[cint]  = i + j*mwidth + k*mwidth*nwidth;
    154:           Iint[cint++] = i + j*(m-istart) + k*(m-istart)*(n-jstart);
    155:         } else {
    156:           IIsurf[csurf]  = i + j*mwidth + k*mwidth*nwidth;
    157:           Isurf[csurf++] = i + j*(m-istart) + k*(m-istart)*(n-jstart);
    158:         }
    159:       }
    160:     }
    161:   }
    162:   if (c != N) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"c != N");
    163:   if (cint != Nint) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"cint != Nint");
    164:   if (csurf != Nsurf) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"csurf != Nsurf");
    165:   DMGetLocalToGlobalMapping(da,&ltg);
    166:   ISLocalToGlobalMappingApply(ltg,N,II,II);
    167:   ISLocalToGlobalMappingApply(ltg,Nint,IIint,IIint);
    168:   ISLocalToGlobalMappingApply(ltg,Nsurf,IIsurf,IIsurf);
    169:   PetscObjectGetComm((PetscObject)da,&comm);
    170:   ISCreateGeneral(comm,N,II,PETSC_COPY_VALUES,&is);
    171:   ISCreateGeneral(PETSC_COMM_SELF,Nint,Iint,PETSC_COPY_VALUES,&isint);
    172:   ISCreateGeneral(PETSC_COMM_SELF,Nsurf,Isurf,PETSC_COPY_VALUES,&issurf);
    173:   PetscFree3(II,Iint,Isurf);

    175:   MatCreateSubMatrices(Aglobal,1,&is,&is,MAT_INITIAL_MATRIX,&Aholder);
    176:   A    = *Aholder;
    177:   PetscFree(Aholder);

    179:   MatCreateSubMatrix(A,isint,isint,MAT_INITIAL_MATRIX,&Aii);
    180:   MatCreateSubMatrix(A,isint,issurf,MAT_INITIAL_MATRIX,&Ais);
    181:   MatCreateSubMatrix(A,issurf,isint,MAT_INITIAL_MATRIX,&Asi);

    183:   /*
    184:      Solve for the interpolation onto the interior Xint
    185:   */
    186:   MatMatMult(Ais,Xsurf,MAT_INITIAL_MATRIX,PETSC_DETERMINE,&Xint_tmp);
    187:   MatScale(Xint_tmp,-1.0);
    188:   if (exotic->directSolve) {
    189:     MatGetFactor(Aii,MATSOLVERPETSC,MAT_FACTOR_LU,&iAii);
    190:     MatFactorInfoInitialize(&info);
    191:     MatGetOrdering(Aii,MATORDERINGND,&row,&col);
    192:     MatLUFactorSymbolic(iAii,Aii,row,col,&info);
    193:     ISDestroy(&row);
    194:     ISDestroy(&col);
    195:     MatLUFactorNumeric(iAii,Aii,&info);
    196:     MatMatSolve(iAii,Xint_tmp,Xint);
    197:     MatDestroy(&iAii);
    198:   } else {
    199:     Vec         b,x;
    200:     PetscScalar *xint_tmp;

    202:     MatDenseGetArray(Xint,&xint);
    203:     VecCreateSeqWithArray(PETSC_COMM_SELF,1,Nint,0,&x);
    204:     MatDenseGetArray(Xint_tmp,&xint_tmp);
    205:     VecCreateSeqWithArray(PETSC_COMM_SELF,1,Nint,0,&b);
    206:     KSPSetOperators(exotic->ksp,Aii,Aii);
    207:     for (i=0; i<26; i++) {
    208:       VecPlaceArray(x,xint+i*Nint);
    209:       VecPlaceArray(b,xint_tmp+i*Nint);
    210:       KSPSolve(exotic->ksp,b,x);
    211:       KSPCheckSolve(exotic->ksp,pc,x);
    212:       VecResetArray(x);
    213:       VecResetArray(b);
    214:     }
    215:     MatDenseRestoreArray(Xint,&xint);
    216:     MatDenseRestoreArray(Xint_tmp,&xint_tmp);
    217:     VecDestroy(&x);
    218:     VecDestroy(&b);
    219:   }
    220:   MatDestroy(&Xint_tmp);

    222: #if defined(PETSC_USE_DEBUG_foo)
    223:   MatDenseGetArrayRead(Xint,&rxint);
    224:   for (i=0; i<Nint; i++) {
    225:     tmp = 0.0;
    226:     for (j=0; j<26; j++) tmp += rxint[i+j*Nint];

    228:     if (PetscAbsScalar(tmp-1.0) > 1.e-10) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Wrong Xint interpolation at i %D value %g",i,(double)PetscAbsScalar(tmp));
    229:   }
    230:   MatDenseRestoreArrayRead(Xint,&rxint);
    231:   /* ierr =MatView(Xint,PETSC_VIEWER_STDOUT_WORLD); */
    232: #endif

    235:   /*         total vertices             total faces                                  total edges */
    236:   Ntotal = (mp + 1)*(np + 1)*(pp + 1) + mp*np*(pp+1) + mp*pp*(np+1) + np*pp*(mp+1) + mp*(np+1)*(pp+1) + np*(mp+1)*(pp+1) +  pp*(mp+1)*(np+1);

    238:   /*
    239:       For each vertex, edge, face on process (in the same orderings as used above) determine its local number including ghost points
    240:   */
    241:   cnt = 0;

    243:   gl[cnt++] = 0;  { gl[cnt++] = 1;} gl[cnt++] = m-istart-1;
    244:   { gl[cnt++] = mwidth;  { gl[cnt++] = mwidth+1;} gl[cnt++] = mwidth + m-istart-1;}
    245:   gl[cnt++] = mwidth*(n-jstart-1);  { gl[cnt++] = mwidth*(n-jstart-1)+1;} gl[cnt++] = mwidth*(n-jstart-1) + m-istart-1;
    246:   {
    247:     gl[cnt++] = mwidth*nwidth;  { gl[cnt++] = mwidth*nwidth+1;}  gl[cnt++] = mwidth*nwidth+ m-istart-1;
    248:     { gl[cnt++] = mwidth*nwidth + mwidth; /* these are the interior nodes */ gl[cnt++] = mwidth*nwidth + mwidth+m-istart-1;}
    249:     gl[cnt++] = mwidth*nwidth+ mwidth*(n-jstart-1);   { gl[cnt++] = mwidth*nwidth+mwidth*(n-jstart-1)+1;} gl[cnt++] = mwidth*nwidth+mwidth*(n-jstart-1) + m-istart-1;
    250:   }
    251:   gl[cnt++] = mwidth*nwidth*(p-kstart-1); { gl[cnt++] = mwidth*nwidth*(p-kstart-1)+1;} gl[cnt++] = mwidth*nwidth*(p-kstart-1) +  m-istart-1;
    252:   { gl[cnt++] = mwidth*nwidth*(p-kstart-1) + mwidth;   { gl[cnt++] = mwidth*nwidth*(p-kstart-1) + mwidth+1;} gl[cnt++] = mwidth*nwidth*(p-kstart-1)+mwidth+m-istart-1;}
    253:   gl[cnt++] = mwidth*nwidth*(p-kstart-1) +  mwidth*(n-jstart-1);  { gl[cnt++] = mwidth*nwidth*(p-kstart-1)+ mwidth*(n-jstart-1)+1;} gl[cnt++] = mwidth*nwidth*(p-kstart-1) + mwidth*(n-jstart-1) + m-istart-1;

    255:   /* PetscIntView(26,gl,PETSC_VIEWER_STDOUT_WORLD); */
    256:   /* convert that to global numbering and get them on all processes */
    257:   ISLocalToGlobalMappingApply(ltg,26,gl,gl);
    258:   /* PetscIntView(26,gl,PETSC_VIEWER_STDOUT_WORLD); */
    259:   PetscMalloc1(26*mp*np*pp,&globals);
    260:   MPI_Allgather(gl,26,MPIU_INT,globals,26,MPIU_INT,PetscObjectComm((PetscObject)da));

    262:   /* Number the coarse grid points from 0 to Ntotal */
    263:   MatGetSize(Aglobal,&Nt,NULL);
    264:   PetscTableCreate(Ntotal/3,Nt+1,&ht);
    265:   for (i=0; i<26*mp*np*pp; i++) {
    266:     PetscTableAddCount(ht,globals[i]+1);
    267:   }
    268:   PetscTableGetCount(ht,&cnt);
    269:   if (cnt != Ntotal) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Hash table size %D not equal to total number coarse grid points %D",cnt,Ntotal);
    270:   PetscFree(globals);
    271:   for (i=0; i<26; i++) {
    272:     PetscTableFind(ht,gl[i]+1,&gl[i]);
    273:     gl[i]--;
    274:   }
    275:   PetscTableDestroy(&ht);
    276:   /* PetscIntView(26,gl,PETSC_VIEWER_STDOUT_WORLD); */

    278:   /* construct global interpolation matrix */
    279:   MatGetLocalSize(Aglobal,&Ng,NULL);
    280:   if (reuse == MAT_INITIAL_MATRIX) {
    281:     MatCreateAIJ(PetscObjectComm((PetscObject)da),Ng,PETSC_DECIDE,PETSC_DECIDE,Ntotal,Nint+Nsurf,NULL,Nint+Nsurf,NULL,P);
    282:   } else {
    283:     MatZeroEntries(*P);
    284:   }
    285:   MatSetOption(*P,MAT_ROW_ORIENTED,PETSC_FALSE);
    286:   MatDenseGetArrayRead(Xint,&rxint);
    287:   MatSetValues(*P,Nint,IIint,26,gl,rxint,INSERT_VALUES);
    288:   MatDenseRestoreArrayRead(Xint,&rxint);
    289:   MatDenseGetArrayRead(Xsurf,&rxint);
    290:   MatSetValues(*P,Nsurf,IIsurf,26,gl,rxint,INSERT_VALUES);
    291:   MatDenseRestoreArrayRead(Xsurf,&rxint);
    292:   MatAssemblyBegin(*P,MAT_FINAL_ASSEMBLY);
    293:   MatAssemblyEnd(*P,MAT_FINAL_ASSEMBLY);
    294:   PetscFree2(IIint,IIsurf);

    296: #if defined(PETSC_USE_DEBUG_foo)
    297:   {
    298:     Vec         x,y;
    299:     PetscScalar *yy;
    300:     VecCreateMPI(PetscObjectComm((PetscObject)da),Ng,PETSC_DETERMINE,&y);
    301:     VecCreateMPI(PetscObjectComm((PetscObject)da),PETSC_DETERMINE,Ntotal,&x);
    302:     VecSet(x,1.0);
    303:     MatMult(*P,x,y);
    304:     VecGetArray(y,&yy);
    305:     for (i=0; i<Ng; i++) {
    306:       if (PetscAbsScalar(yy[i]-1.0) > 1.e-10) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Wrong p interpolation at i %D value %g",i,(double)PetscAbsScalar(yy[i]));
    307:     }
    308:     VecRestoreArray(y,&yy);
    309:     VecDestroy(x);
    310:     VecDestroy(y);
    311:   }
    312: #endif

    314:   MatDestroy(&Aii);
    315:   MatDestroy(&Ais);
    316:   MatDestroy(&Asi);
    317:   MatDestroy(&A);
    318:   ISDestroy(&is);
    319:   ISDestroy(&isint);
    320:   ISDestroy(&issurf);
    321:   MatDestroy(&Xint);
    322:   MatDestroy(&Xsurf);
    323:   return(0);
    324: }

    326: /*
    327:       DMDAGetFaceInterpolation - Gets the interpolation for a face based coarse space

    329: */
    330: PetscErrorCode DMDAGetFaceInterpolation(PC pc,DM da,PC_Exotic *exotic,Mat Aglobal,MatReuse reuse,Mat *P)
    331: {
    332:   PetscErrorCode         ierr;
    333:   PetscInt               dim,i,j,k,m,n,p,dof,Nint,Nface,Nwire,Nsurf,*Iint,*Isurf,cint = 0,csurf = 0,istart,jstart,kstart,*II,N,c = 0;
    334:   PetscInt               mwidth,nwidth,pwidth,cnt,mp,np,pp,Ntotal,gl[6],*globals,Ng,*IIint,*IIsurf,Nt;
    335:   Mat                    Xint, Xsurf,Xint_tmp;
    336:   IS                     isint,issurf,is,row,col;
    337:   ISLocalToGlobalMapping ltg;
    338:   MPI_Comm               comm;
    339:   Mat                    A,Aii,Ais,Asi,*Aholder,iAii;
    340:   MatFactorInfo          info;
    341:   PetscScalar            *xsurf,*xint;
    342:   const PetscScalar      *rxint;
    343: #if defined(PETSC_USE_DEBUG_foo)
    344:   PetscScalar            tmp;
    345: #endif
    346:   PetscTable             ht;

    349:   DMDAGetInfo(da,&dim,0,0,0,&mp,&np,&pp,&dof,0,0,0,0,0);
    350:   if (dof != 1) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_SUP,"Only for single field problems");
    351:   if (dim != 3) SETERRQ(PetscObjectComm((PetscObject)da),PETSC_ERR_SUP,"Only coded for 3d problems");
    352:   DMDAGetCorners(da,0,0,0,&m,&n,&p);
    353:   DMDAGetGhostCorners(da,&istart,&jstart,&kstart,&mwidth,&nwidth,&pwidth);
    354:   istart = istart ? -1 : 0;
    355:   jstart = jstart ? -1 : 0;
    356:   kstart = kstart ? -1 : 0;

    358:   /*
    359:     the columns of P are the interpolation of each coarse grid point (one for each vertex and edge)
    360:     to all the local degrees of freedom (this includes the vertices, edges and faces).

    362:     Xint are the subset of the interpolation into the interior

    364:     Xface are the interpolation onto faces but not into the interior

    366:     Xsurf are the interpolation onto the vertices and edges (the surfbasket)
    367:                                       Xint
    368:     Symbolically one could write P = (Xface) after interchanging the rows to match the natural ordering on the domain
    369:                                       Xsurf
    370:   */
    371:   N     = (m - istart)*(n - jstart)*(p - kstart);
    372:   Nint  = (m-2-istart)*(n-2-jstart)*(p-2-kstart);
    373:   Nface = 2*((m-2-istart)*(n-2-jstart) + (m-2-istart)*(p-2-kstart) + (n-2-jstart)*(p-2-kstart));
    374:   Nwire = 4*((m-2-istart) + (n-2-jstart) + (p-2-kstart)) + 8;
    375:   Nsurf = Nface + Nwire;
    376:   MatCreateSeqDense(MPI_COMM_SELF,Nint,6,NULL,&Xint);
    377:   MatCreateSeqDense(MPI_COMM_SELF,Nsurf,6,NULL,&Xsurf);
    378:   MatDenseGetArray(Xsurf,&xsurf);

    380:   /*
    381:      Require that all 12 edges and 6 faces have at least one grid point. Otherwise some of the columns of
    382:      Xsurf will be all zero (thus making the coarse matrix singular).
    383:   */
    384:   if (m-istart < 3) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Number of grid points per process in X direction must be at least 3");
    385:   if (n-jstart < 3) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Number of grid points per process in Y direction must be at least 3");
    386:   if (p-kstart < 3) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Number of grid points per process in Z direction must be at least 3");

    388:   cnt = 0;
    389:   for (j=1; j<n-1-jstart; j++) {
    390:     for (i=1; i<m-istart-1; i++) xsurf[cnt++ + 0*Nsurf] = 1;
    391:   }

    393:   for (k=1; k<p-1-kstart; k++) {
    394:     for (i=1; i<m-istart-1; i++) xsurf[cnt++ + 1*Nsurf] = 1;
    395:     for (j=1; j<n-1-jstart; j++) {
    396:       xsurf[cnt++ + 2*Nsurf] = 1;
    397:       /* these are the interior nodes */
    398:       xsurf[cnt++ + 3*Nsurf] = 1;
    399:     }
    400:     for (i=1; i<m-istart-1; i++) xsurf[cnt++ + 4*Nsurf] = 1;
    401:   }
    402:   for (j=1;j<n-1-jstart;j++) {
    403:     for (i=1; i<m-istart-1; i++) xsurf[cnt++ + 5*Nsurf] = 1;
    404:   }

    406: #if defined(PETSC_USE_DEBUG_foo)
    407:   for (i=0; i<Nsurf; i++) {
    408:     tmp = 0.0;
    409:     for (j=0; j<6; j++) tmp += xsurf[i+j*Nsurf];

    411:     if (PetscAbsScalar(tmp-1.0) > 1.e-10) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Wrong Xsurf interpolation at i %D value %g",i,(double)PetscAbsScalar(tmp));
    412:   }
    413: #endif
    414:   MatDenseRestoreArray(Xsurf,&xsurf);
    415:   /* MatView(Xsurf,PETSC_VIEWER_STDOUT_WORLD);*/

    418:   /*
    419:        I are the indices for all the needed vertices (in global numbering)
    420:        Iint are the indices for the interior values, I surf for the surface values
    421:             (This is just for the part of the global matrix obtained with MatCreateSubMatrix(), it
    422:              is NOT the local DMDA ordering.)
    423:        IIint and IIsurf are the same as the Iint, Isurf except they are in the global numbering
    424:   */
    425: #define Endpoint(a,start,b) (a == 0 || a == (b-1-start))
    426:   PetscMalloc3(N,&II,Nint,&Iint,Nsurf,&Isurf);
    427:   PetscMalloc2(Nint,&IIint,Nsurf,&IIsurf);
    428:   for (k=0; k<p-kstart; k++) {
    429:     for (j=0; j<n-jstart; j++) {
    430:       for (i=0; i<m-istart; i++) {
    431:         II[c++] = i + j*mwidth + k*mwidth*nwidth;

    433:         if (!Endpoint(i,istart,m) && !Endpoint(j,jstart,n) && !Endpoint(k,kstart,p)) {
    434:           IIint[cint]  = i + j*mwidth + k*mwidth*nwidth;
    435:           Iint[cint++] = i + j*(m-istart) + k*(m-istart)*(n-jstart);
    436:         } else {
    437:           IIsurf[csurf]  = i + j*mwidth + k*mwidth*nwidth;
    438:           Isurf[csurf++] = i + j*(m-istart) + k*(m-istart)*(n-jstart);
    439:         }
    440:       }
    441:     }
    442:   }
    443:   if (c != N) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"c != N");
    444:   if (cint != Nint) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"cint != Nint");
    445:   if (csurf != Nsurf) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"csurf != Nsurf");
    446:   DMGetLocalToGlobalMapping(da,&ltg);
    447:   ISLocalToGlobalMappingApply(ltg,N,II,II);
    448:   ISLocalToGlobalMappingApply(ltg,Nint,IIint,IIint);
    449:   ISLocalToGlobalMappingApply(ltg,Nsurf,IIsurf,IIsurf);
    450:   PetscObjectGetComm((PetscObject)da,&comm);
    451:   ISCreateGeneral(comm,N,II,PETSC_COPY_VALUES,&is);
    452:   ISCreateGeneral(PETSC_COMM_SELF,Nint,Iint,PETSC_COPY_VALUES,&isint);
    453:   ISCreateGeneral(PETSC_COMM_SELF,Nsurf,Isurf,PETSC_COPY_VALUES,&issurf);
    454:   PetscFree3(II,Iint,Isurf);

    456:   ISSort(is);
    457:   MatCreateSubMatrices(Aglobal,1,&is,&is,MAT_INITIAL_MATRIX,&Aholder);
    458:   A    = *Aholder;
    459:   PetscFree(Aholder);

    461:   MatCreateSubMatrix(A,isint,isint,MAT_INITIAL_MATRIX,&Aii);
    462:   MatCreateSubMatrix(A,isint,issurf,MAT_INITIAL_MATRIX,&Ais);
    463:   MatCreateSubMatrix(A,issurf,isint,MAT_INITIAL_MATRIX,&Asi);

    465:   /*
    466:      Solve for the interpolation onto the interior Xint
    467:   */
    468:   MatMatMult(Ais,Xsurf,MAT_INITIAL_MATRIX,PETSC_DETERMINE,&Xint_tmp);
    469:   MatScale(Xint_tmp,-1.0);

    471:   if (exotic->directSolve) {
    472:     MatGetFactor(Aii,MATSOLVERPETSC,MAT_FACTOR_LU,&iAii);
    473:     MatFactorInfoInitialize(&info);
    474:     MatGetOrdering(Aii,MATORDERINGND,&row,&col);
    475:     MatLUFactorSymbolic(iAii,Aii,row,col,&info);
    476:     ISDestroy(&row);
    477:     ISDestroy(&col);
    478:     MatLUFactorNumeric(iAii,Aii,&info);
    479:     MatMatSolve(iAii,Xint_tmp,Xint);
    480:     MatDestroy(&iAii);
    481:   } else {
    482:     Vec         b,x;
    483:     PetscScalar *xint_tmp;

    485:     MatDenseGetArray(Xint,&xint);
    486:     VecCreateSeqWithArray(PETSC_COMM_SELF,1,Nint,0,&x);
    487:     MatDenseGetArray(Xint_tmp,&xint_tmp);
    488:     VecCreateSeqWithArray(PETSC_COMM_SELF,1,Nint,0,&b);
    489:     KSPSetOperators(exotic->ksp,Aii,Aii);
    490:     for (i=0; i<6; i++) {
    491:       VecPlaceArray(x,xint+i*Nint);
    492:       VecPlaceArray(b,xint_tmp+i*Nint);
    493:       KSPSolve(exotic->ksp,b,x);
    494:       KSPCheckSolve(exotic->ksp,pc,x);
    495:       VecResetArray(x);
    496:       VecResetArray(b);
    497:     }
    498:     MatDenseRestoreArray(Xint,&xint);
    499:     MatDenseRestoreArray(Xint_tmp,&xint_tmp);
    500:     VecDestroy(&x);
    501:     VecDestroy(&b);
    502:   }
    503:   MatDestroy(&Xint_tmp);

    505: #if defined(PETSC_USE_DEBUG_foo)
    506:   MatDenseGetArrayRead(Xint,&rxint);
    507:   for (i=0; i<Nint; i++) {
    508:     tmp = 0.0;
    509:     for (j=0; j<6; j++) tmp += rxint[i+j*Nint];

    511:     if (PetscAbsScalar(tmp-1.0) > 1.e-10) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Wrong Xint interpolation at i %D value %g",i,(double)PetscAbsScalar(tmp));
    512:   }
    513:   MatDenseRestoreArrayRead(Xint,&rxint);
    514:   /* ierr =MatView(Xint,PETSC_VIEWER_STDOUT_WORLD); */
    515: #endif

    518:   /*         total faces    */
    519:   Ntotal =  mp*np*(pp+1) + mp*pp*(np+1) + np*pp*(mp+1);

    521:   /*
    522:       For each vertex, edge, face on process (in the same orderings as used above) determine its local number including ghost points
    523:   */
    524:   cnt = 0;
    525:   { gl[cnt++] = mwidth+1;}
    526:   {
    527:     { gl[cnt++] = mwidth*nwidth+1;}
    528:     { gl[cnt++] = mwidth*nwidth + mwidth; /* these are the interior nodes */ gl[cnt++] = mwidth*nwidth + mwidth+m-istart-1;}
    529:     { gl[cnt++] = mwidth*nwidth+mwidth*(n-jstart-1)+1;}
    530:   }
    531:   { gl[cnt++] = mwidth*nwidth*(p-kstart-1) + mwidth+1;}

    533:   /* PetscIntView(6,gl,PETSC_VIEWER_STDOUT_WORLD); */
    534:   /* convert that to global numbering and get them on all processes */
    535:   ISLocalToGlobalMappingApply(ltg,6,gl,gl);
    536:   /* PetscIntView(6,gl,PETSC_VIEWER_STDOUT_WORLD); */
    537:   PetscMalloc1(6*mp*np*pp,&globals);
    538:   MPI_Allgather(gl,6,MPIU_INT,globals,6,MPIU_INT,PetscObjectComm((PetscObject)da));

    540:   /* Number the coarse grid points from 0 to Ntotal */
    541:   MatGetSize(Aglobal,&Nt,NULL);
    542:   PetscTableCreate(Ntotal/3,Nt+1,&ht);
    543:   for (i=0; i<6*mp*np*pp; i++) {
    544:     PetscTableAddCount(ht,globals[i]+1);
    545:   }
    546:   PetscTableGetCount(ht,&cnt);
    547:   if (cnt != Ntotal) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Hash table size %D not equal to total number coarse grid points %D",cnt,Ntotal);
    548:   PetscFree(globals);
    549:   for (i=0; i<6; i++) {
    550:     PetscTableFind(ht,gl[i]+1,&gl[i]);
    551:     gl[i]--;
    552:   }
    553:   PetscTableDestroy(&ht);
    554:   /* PetscIntView(6,gl,PETSC_VIEWER_STDOUT_WORLD); */

    556:   /* construct global interpolation matrix */
    557:   MatGetLocalSize(Aglobal,&Ng,NULL);
    558:   if (reuse == MAT_INITIAL_MATRIX) {
    559:     MatCreateAIJ(PetscObjectComm((PetscObject)da),Ng,PETSC_DECIDE,PETSC_DECIDE,Ntotal,Nint+Nsurf,NULL,Nint,NULL,P);
    560:   } else {
    561:     MatZeroEntries(*P);
    562:   }
    563:   MatSetOption(*P,MAT_ROW_ORIENTED,PETSC_FALSE);
    564:   MatDenseGetArrayRead(Xint,&rxint);
    565:   MatSetValues(*P,Nint,IIint,6,gl,rxint,INSERT_VALUES);
    566:   MatDenseRestoreArrayRead(Xint,&rxint);
    567:   MatDenseGetArrayRead(Xsurf,&rxint);
    568:   MatSetValues(*P,Nsurf,IIsurf,6,gl,rxint,INSERT_VALUES);
    569:   MatDenseRestoreArrayRead(Xsurf,&rxint);
    570:   MatAssemblyBegin(*P,MAT_FINAL_ASSEMBLY);
    571:   MatAssemblyEnd(*P,MAT_FINAL_ASSEMBLY);
    572:   PetscFree2(IIint,IIsurf);

    575: #if defined(PETSC_USE_DEBUG_foo)
    576:   {
    577:     Vec         x,y;
    578:     PetscScalar *yy;
    579:     VecCreateMPI(PetscObjectComm((PetscObject)da),Ng,PETSC_DETERMINE,&y);
    580:     VecCreateMPI(PetscObjectComm((PetscObject)da),PETSC_DETERMINE,Ntotal,&x);
    581:     VecSet(x,1.0);
    582:     MatMult(*P,x,y);
    583:     VecGetArray(y,&yy);
    584:     for (i=0; i<Ng; i++) {
    585:       if (PetscAbsScalar(yy[i]-1.0) > 1.e-10) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Wrong p interpolation at i %D value %g",i,(double)PetscAbsScalar(yy[i]));
    586:     }
    587:     VecRestoreArray(y,&yy);
    588:     VecDestroy(x);
    589:     VecDestroy(y);
    590:   }
    591: #endif

    593:   MatDestroy(&Aii);
    594:   MatDestroy(&Ais);
    595:   MatDestroy(&Asi);
    596:   MatDestroy(&A);
    597:   ISDestroy(&is);
    598:   ISDestroy(&isint);
    599:   ISDestroy(&issurf);
    600:   MatDestroy(&Xint);
    601:   MatDestroy(&Xsurf);
    602:   return(0);
    603: }

    606: /*@
    607:    PCExoticSetType - Sets the type of coarse grid interpolation to use

    609:    Logically Collective on PC

    611:    Input Parameters:
    612: +  pc - the preconditioner context
    613: -  type - either PC_EXOTIC_FACE or PC_EXOTIC_WIREBASKET (defaults to face)

    615:    Notes:
    616:     The face based interpolation has 1 degree of freedom per face and ignores the
    617:      edge and vertex values completely in the coarse problem. For any seven point
    618:      stencil the interpolation of a constant on all faces into the interior is that constant.

    620:      The wirebasket interpolation has 1 degree of freedom per vertex, per edge and
    621:      per face. A constant on the subdomain boundary is interpolated as that constant
    622:      in the interior of the domain.

    624:      The coarse grid matrix is obtained via the Galerkin computation A_c = R A R^T, hence
    625:      if A is nonsingular A_c is also nonsingular.

    627:      Both interpolations are suitable for only scalar problems.

    629:    Level: intermediate

    632: .seealso: PCEXOTIC, PCExoticType()
    633: @*/
    634: PetscErrorCode  PCExoticSetType(PC pc,PCExoticType type)
    635: {

    641:   PetscTryMethod(pc,"PCExoticSetType_C",(PC,PCExoticType),(pc,type));
    642:   return(0);
    643: }

    645: static PetscErrorCode  PCExoticSetType_Exotic(PC pc,PCExoticType type)
    646: {
    647:   PC_MG     *mg  = (PC_MG*)pc->data;
    648:   PC_Exotic *ctx = (PC_Exotic*) mg->innerctx;

    651:   ctx->type = type;
    652:   return(0);
    653: }

    655: PetscErrorCode PCSetUp_Exotic(PC pc)
    656: {
    658:   Mat            A;
    659:   PC_MG          *mg   = (PC_MG*)pc->data;
    660:   PC_Exotic      *ex   = (PC_Exotic*) mg->innerctx;
    661:   MatReuse       reuse = (ex->P) ? MAT_REUSE_MATRIX : MAT_INITIAL_MATRIX;

    664:   if (!pc->dm) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_WRONGSTATE,"Need to call PCSetDM() before using this PC");
    665:   PCGetOperators(pc,NULL,&A);
    666:   if (ex->type == PC_EXOTIC_FACE) {
    667:     DMDAGetFaceInterpolation(pc,pc->dm,ex,A,reuse,&ex->P);
    668:   } else if (ex->type == PC_EXOTIC_WIREBASKET) {
    669:     DMDAGetWireBasketInterpolation(pc,pc->dm,ex,A,reuse,&ex->P);
    670:   } else SETERRQ1(PetscObjectComm((PetscObject)pc),PETSC_ERR_PLIB,"Unknown exotic coarse space %d",ex->type);
    671:   PCMGSetInterpolation(pc,1,ex->P);
    672:   /* if PC has attached DM we must remove it or the PCMG will use it to compute incorrect sized vectors and interpolations */
    673:   PCSetDM(pc,NULL);
    674:   PCSetUp_MG(pc);
    675:   return(0);
    676: }

    678: PetscErrorCode PCDestroy_Exotic(PC pc)
    679: {
    681:   PC_MG          *mg  = (PC_MG*)pc->data;
    682:   PC_Exotic      *ctx = (PC_Exotic*) mg->innerctx;

    685:   MatDestroy(&ctx->P);
    686:   KSPDestroy(&ctx->ksp);
    687:   PetscFree(ctx);
    688:   PCDestroy_MG(pc);
    689:   return(0);
    690: }

    692: PetscErrorCode PCView_Exotic(PC pc,PetscViewer viewer)
    693: {
    694:   PC_MG          *mg = (PC_MG*)pc->data;
    696:   PetscBool      iascii;
    697:   PC_Exotic      *ctx = (PC_Exotic*) mg->innerctx;

    700:   PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);
    701:   if (iascii) {
    702:     PetscViewerASCIIPrintf(viewer,"    Exotic type = %s\n",PCExoticTypes[ctx->type]);
    703:     if (ctx->directSolve) {
    704:       PetscViewerASCIIPrintf(viewer,"      Using direct solver to construct interpolation\n");
    705:     } else {
    706:       PetscViewer sviewer;
    707:       PetscMPIInt rank;

    709:       PetscViewerASCIIPrintf(viewer,"      Using iterative solver to construct interpolation\n");
    710:       PetscViewerASCIIPushTab(viewer);
    711:       PetscViewerASCIIPushTab(viewer);  /* should not need to push this twice? */
    712:       PetscViewerGetSubViewer(viewer,PETSC_COMM_SELF,&sviewer);
    713:       MPI_Comm_rank(PetscObjectComm((PetscObject)pc),&rank);
    714:       if (!rank) {
    715:         KSPView(ctx->ksp,sviewer);
    716:       }
    717:       PetscViewerRestoreSubViewer(viewer,PETSC_COMM_SELF,&sviewer);
    718:       PetscViewerASCIIPopTab(viewer);
    719:       PetscViewerASCIIPopTab(viewer);
    720:     }
    721:   }
    722:   PCView_MG(pc,viewer);
    723:   return(0);
    724: }

    726: PetscErrorCode PCSetFromOptions_Exotic(PetscOptionItems *PetscOptionsObject,PC pc)
    727: {
    729:   PetscBool      flg;
    730:   PC_MG          *mg = (PC_MG*)pc->data;
    731:   PCExoticType   mgctype;
    732:   PC_Exotic      *ctx = (PC_Exotic*) mg->innerctx;

    735:   PetscOptionsHead(PetscOptionsObject,"Exotic coarse space options");
    736:   PetscOptionsEnum("-pc_exotic_type","face or wirebasket","PCExoticSetType",PCExoticTypes,(PetscEnum)ctx->type,(PetscEnum*)&mgctype,&flg);
    737:   if (flg) {
    738:     PCExoticSetType(pc,mgctype);
    739:   }
    740:   PetscOptionsBool("-pc_exotic_direct_solver","use direct solver to construct interpolation","None",ctx->directSolve,&ctx->directSolve,NULL);
    741:   if (!ctx->directSolve) {
    742:     if (!ctx->ksp) {
    743:       const char *prefix;
    744:       KSPCreate(PETSC_COMM_SELF,&ctx->ksp);
    745:       KSPSetErrorIfNotConverged(ctx->ksp,pc->erroriffailure);
    746:       PetscObjectIncrementTabLevel((PetscObject)ctx->ksp,(PetscObject)pc,1);
    747:       PetscLogObjectParent((PetscObject)pc,(PetscObject)ctx->ksp);
    748:       PCGetOptionsPrefix(pc,&prefix);
    749:       KSPSetOptionsPrefix(ctx->ksp,prefix);
    750:       KSPAppendOptionsPrefix(ctx->ksp,"exotic_");
    751:     }
    752:     KSPSetFromOptions(ctx->ksp);
    753:   }
    754:   PetscOptionsTail();
    755:   return(0);
    756: }

    759: /*MC
    760:      PCEXOTIC - Two level overlapping Schwarz preconditioner with exotic (non-standard) coarse grid spaces

    762:      This uses the PCMG infrastructure restricted to two levels and the face and wirebasket based coarse
    763:    grid spaces.

    765:    Notes:
    766:     By default this uses GMRES on the fine grid smoother so this should be used with KSPFGMRES or the smoother changed to not use GMRES

    768:    References:
    769: +  1. - These coarse grid spaces originate in the work of Bramble, Pasciak  and Schatz, "The Construction
    770:    of Preconditioners for Elliptic Problems by Substructing IV", Mathematics of Computation, volume 53, 1989.
    771: .  2. - They were generalized slightly in "Domain Decomposition Method for Linear Elasticity", Ph. D. thesis, Barry Smith,
    772:    New York University, 1990.
    773: .  3. - They were then explored in great detail in Dryja, Smith, Widlund, "Schwarz Analysis
    774:    of Iterative Substructuring Methods for Elliptic Problems in Three Dimensions, SIAM Journal on Numerical
    775:    Analysis, volume 31. 1994. These were developed in the context of iterative substructuring preconditioners.
    776: .  4. - They were then ingeniously applied as coarse grid spaces for overlapping Schwarz methods by Dohrmann and Widlund.
    777:    They refer to them as GDSW (generalized Dryja, Smith, Widlund preconditioners). See, for example,
    778:    Clark R. Dohrmann, Axel Klawonn, and Olof B. Widlund. Extending theory for domain decomposition algorithms to irregular subdomains. In Ulrich Langer, Marco
    779:    Discacciati, David Keyes, Olof Widlund, and Walter Zulehner, editors, Proceedings
    780:    of the 17th International Conference on Domain Decomposition Methods in
    781:    Science and Engineering, held in Strobl, Austria, 2006, number 60 in
    782:    Springer Verlag, Lecture Notes in Computational Science and Engineering, 2007.
    783: .  5. -  Clark R. Dohrmann, Axel Klawonn, and Olof B. Widlund. A family of energy minimizing coarse spaces for overlapping Schwarz preconditioners. In Ulrich Langer,
    784:    Marco Discacciati, David Keyes, Olof Widlund, and Walter Zulehner, editors, Proceedings
    785:    of the 17th International Conference on Domain Decomposition Methods
    786:    in Science and Engineering, held in Strobl, Austria, 2006, number 60 in
    787:    Springer Verlag, Lecture Notes in Computational Science and Engineering, 2007
    788: .  6. - Clark R. Dohrmann, Axel Klawonn, and Olof B. Widlund. Domain decomposition
    789:    for less regular subdomains: Overlapping Schwarz in two dimensions. SIAM J.
    790:    Numer. Anal., 46(4), 2008.
    791: -  7. - Clark R. Dohrmann and Olof B. Widlund. An overlapping Schwarz
    792:    algorithm for almost incompressible elasticity. Technical Report
    793:    TR2008 912, Department of Computer Science, Courant Institute
    794:    of Mathematical Sciences, New York University, May 2008. URL:

    796:    Options Database: The usual PCMG options are supported, such as -mg_levels_pc_type <type> -mg_coarse_pc_type <type>
    797:       -pc_mg_type <type>

    799:    Level: advanced

    801: .seealso:  PCMG, PCSetDM(), PCExoticType, PCExoticSetType()
    802: M*/

    804: PETSC_EXTERN PetscErrorCode PCCreate_Exotic(PC pc)
    805: {
    807:   PC_Exotic      *ex;
    808:   PC_MG          *mg;

    811:   /* if type was previously mg; must manually destroy it because call to PCSetType(pc,PCMG) will not destroy it */
    812:   if (pc->ops->destroy) {
    813:      (*pc->ops->destroy)(pc);
    814:     pc->data = 0;
    815:   }
    816:   PetscFree(((PetscObject)pc)->type_name);
    817:   ((PetscObject)pc)->type_name = 0;

    819:   PCSetType(pc,PCMG);
    820:   PCMGSetLevels(pc,2,NULL);
    821:   PCMGSetGalerkin(pc,PC_MG_GALERKIN_PMAT);
    822:   PetscNew(&ex); \
    823:   ex->type     = PC_EXOTIC_FACE;
    824:   mg           = (PC_MG*) pc->data;
    825:   mg->innerctx = ex;

    828:   pc->ops->setfromoptions = PCSetFromOptions_Exotic;
    829:   pc->ops->view           = PCView_Exotic;
    830:   pc->ops->destroy        = PCDestroy_Exotic;
    831:   pc->ops->setup          = PCSetUp_Exotic;

    833:   PetscObjectComposeFunction((PetscObject)pc,"PCExoticSetType_C",PCExoticSetType_Exotic);
    834:   return(0);
    835: }