Date: 2025-03-29T05:58:28+00:00

Actual source code: ex64.c

      1: /*
      2:  *
      3:  *  Created on: Aug 10, 2015
      4:  *      Author: Fande Kong  <fdkong.jd@gmail.com>
      5:  */

      7: static char help[] = "Illustrates use of the preconditioner GASM.\n \
      8:    using hierarchical partitioning and MatIncreaseOverlapSplit \
      9:         -pc_gasm_total_subdomains\n \
     10:         -pc_gasm_print_subdomains\n \n";

     12: /*
     13:    Note:  This example focuses on setting the subdomains for the GASM
     14:    preconditioner for a problem on a 2D rectangular grid.  See ex1.c
     15:    and ex2.c for more detailed comments on the basic usage of KSP
     16:    (including working with matrices and vectors).

     18:    The GASM preconditioner is fully parallel.  The user-space routine
     19:    CreateSubdomains2D that computes the domain decomposition is also parallel
     20:    and attempts to generate both subdomains straddling processors and multiple
     21:    domains per processor.

     23:    This matrix in this linear system arises from the discretized Laplacian,
     24:    and thus is not very interesting in terms of experimenting with variants
     25:    of the GASM preconditioner.
     26: */

     28: /*
     29:   Include "petscksp.h" so that we can use KSP solvers.  Note that this file
     30:   automatically includes:
     31:      petscsys.h    - base PETSc routines   petscvec.h - vectors
     32:      petscmat.h    - matrices
     33:      petscis.h     - index sets            petscksp.h - Krylov subspace methods
     34:      petscviewer.h - viewers               petscpc.h  - preconditioners
     35: */
     36: #include <petscksp.h>
     37: #include <petscmat.h>

     39: int main(int argc, char **args)
     40: {
     41:   Vec             x, b, u; /* approx solution, RHS, exact solution */
     42:   Mat             A, perA; /* linear system matrix */
     43:   KSP             ksp;     /* linear solver context */
     44:   PC              pc;      /* PC context */
     45:   PetscInt        overlap; /* width of subdomain overlap */
     46:   PetscInt        m, n;    /* mesh dimensions in x- and y- directions */
     47:   PetscInt        M, N;    /* number of subdomains in x- and y- directions */
     48:   PetscInt        i, j, Ii, J, Istart, Iend;
     49:   PetscMPIInt     size;
     50:   PetscBool       flg;
     51:   PetscBool       user_set_subdomains;
     52:   PetscScalar     v, one = 1.0;
     53:   MatPartitioning part;
     54:   IS              coarseparts, fineparts;
     55:   IS              is, isn, isrows;
     56:   MPI_Comm        comm;
     57:   PetscReal       e;

     59:   PetscFunctionBeginUser;
     60:   PetscCall(PetscInitialize(&argc, &args, NULL, help));
     61:   comm = PETSC_COMM_WORLD;
     62:   PetscCallMPI(MPI_Comm_size(comm, &size));
     63:   PetscOptionsBegin(PETSC_COMM_WORLD, NULL, "ex62", "PC");
     64:   m = 15;
     65:   PetscCall(PetscOptionsInt("-M", "Number of mesh points in the x-direction", "PCGASMCreateSubdomains2D", m, &m, NULL));
     66:   n = 17;
     67:   PetscCall(PetscOptionsInt("-N", "Number of mesh points in the y-direction", "PCGASMCreateSubdomains2D", n, &n, NULL));
     68:   user_set_subdomains = PETSC_FALSE;
     69:   PetscCall(PetscOptionsBool("-user_set_subdomains", "Use the user-specified 2D tiling of mesh by subdomains", "PCGASMCreateSubdomains2D", user_set_subdomains, &user_set_subdomains, NULL));
     70:   M = 2;
     71:   PetscCall(PetscOptionsInt("-Mdomains", "Number of subdomain tiles in the x-direction", "PCGASMSetSubdomains2D", M, &M, NULL));
     72:   N = 1;
     73:   PetscCall(PetscOptionsInt("-Ndomains", "Number of subdomain tiles in the y-direction", "PCGASMSetSubdomains2D", N, &N, NULL));
     74:   overlap = 1;
     75:   PetscCall(PetscOptionsInt("-overlap", "Size of tile overlap.", "PCGASMSetSubdomains2D", overlap, &overlap, NULL));
     76:   PetscOptionsEnd();

     78:   /* -------------------------------------------------------------------
     79:          Compute the matrix and right-hand-side vector that define
     80:          the linear system, Ax = b.
     81:      ------------------------------------------------------------------- */

     83:   /*
     84:      Assemble the matrix for the five point stencil, YET AGAIN
     85:   */
     86:   PetscCall(MatCreate(comm, &A));
     87:   PetscCall(MatSetSizes(A, PETSC_DECIDE, PETSC_DECIDE, m * n, m * n));
     88:   PetscCall(MatSetFromOptions(A));
     89:   PetscCall(MatSetUp(A));
     90:   PetscCall(MatGetOwnershipRange(A, &Istart, &Iend));
     91:   for (Ii = Istart; Ii < Iend; Ii++) {
     92:     v = -1.0;
     93:     i = Ii / n;
     94:     j = Ii - i * n;
     95:     if (i > 0) {
     96:       J = Ii - n;
     97:       PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &v, INSERT_VALUES));
     98:     }
     99:     if (i < m - 1) {
    100:       J = Ii + n;
    101:       PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &v, INSERT_VALUES));
    102:     }
    103:     if (j > 0) {
    104:       J = Ii - 1;
    105:       PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &v, INSERT_VALUES));
    106:     }
    107:     if (j < n - 1) {
    108:       J = Ii + 1;
    109:       PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &v, INSERT_VALUES));
    110:     }
    111:     v = 4.0;
    112:     PetscCall(MatSetValues(A, 1, &Ii, 1, &Ii, &v, INSERT_VALUES));
    113:   }
    114:   PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
    115:   PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));

    117:   /*
    118:     Partition the graph of the matrix
    119:   */
    120:   PetscCall(MatPartitioningCreate(comm, &part));
    121:   PetscCall(MatPartitioningSetAdjacency(part, A));
    122:   PetscCall(MatPartitioningSetType(part, MATPARTITIONINGHIERARCH));
    123:   PetscCall(MatPartitioningHierarchicalSetNcoarseparts(part, 2));
    124:   PetscCall(MatPartitioningHierarchicalSetNfineparts(part, 2));
    125:   PetscCall(MatPartitioningSetFromOptions(part));
    126:   /* get new processor owner number of each vertex */
    127:   PetscCall(MatPartitioningApply(part, &is));
    128:   /* get coarse parts according to which we rearrange the matrix */
    129:   PetscCall(MatPartitioningHierarchicalGetCoarseparts(part, &coarseparts));
    130:   /* fine parts are used with coarse parts */
    131:   PetscCall(MatPartitioningHierarchicalGetFineparts(part, &fineparts));
    132:   /* get new global number of each old global number */
    133:   PetscCall(ISPartitioningToNumbering(is, &isn));
    134:   PetscCall(ISBuildTwoSided(is, NULL, &isrows));
    135:   PetscCall(MatCreateSubMatrix(A, isrows, isrows, MAT_INITIAL_MATRIX, &perA));
    136:   PetscCall(MatCreateVecs(perA, &b, NULL));
    137:   PetscCall(VecSetFromOptions(b));
    138:   PetscCall(VecDuplicate(b, &u));
    139:   PetscCall(VecDuplicate(b, &x));
    140:   PetscCall(VecSet(u, one));
    141:   PetscCall(MatMult(perA, u, b));
    142:   PetscCall(KSPCreate(comm, &ksp));
    143:   /*
    144:      Set operators. Here the matrix that defines the linear system
    145:      also serves as the preconditioning matrix.
    146:   */
    147:   PetscCall(KSPSetOperators(ksp, perA, perA));

    149:   /*
    150:      Set the default preconditioner for this program to be GASM
    151:   */
    152:   PetscCall(KSPGetPC(ksp, &pc));
    153:   PetscCall(PCSetType(pc, PCGASM));
    154:   PetscCall(KSPSetFromOptions(ksp));
    155:   /* -------------------------------------------------------------------
    156:                       Solve the linear system
    157:      ------------------------------------------------------------------- */

    159:   PetscCall(KSPSolve(ksp, b, x));
    160:   /* -------------------------------------------------------------------
    161:                       Compare result to the exact solution
    162:      ------------------------------------------------------------------- */
    163:   PetscCall(VecAXPY(x, -1.0, u));
    164:   PetscCall(VecNorm(x, NORM_INFINITY, &e));

    166:   flg = PETSC_FALSE;
    167:   PetscCall(PetscOptionsGetBool(NULL, NULL, "-print_error", &flg, NULL));
    168:   if (flg) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Infinity norm of the error: %g\n", (double)e));
    169:   /*
    170:      Free work space.  All PETSc objects should be destroyed when they
    171:      are no longer needed.
    172:   */
    173:   PetscCall(KSPDestroy(&ksp));
    174:   PetscCall(VecDestroy(&u));
    175:   PetscCall(VecDestroy(&x));
    176:   PetscCall(VecDestroy(&b));
    177:   PetscCall(MatDestroy(&A));
    178:   PetscCall(MatDestroy(&perA));
    179:   PetscCall(ISDestroy(&is));
    180:   PetscCall(ISDestroy(&coarseparts));
    181:   PetscCall(ISDestroy(&fineparts));
    182:   PetscCall(ISDestroy(&isrows));
    183:   PetscCall(ISDestroy(&isn));
    184:   PetscCall(MatPartitioningDestroy(&part));
    185:   PetscCall(PetscFinalize());
    186:   return 0;
    187: }

    189: /*TEST

    191:    test:
    192:       nsize: 4
    193:       requires: superlu_dist parmetis
    194:       args: -ksp_monitor -pc_gasm_overlap 1 -sub_pc_type lu -sub_pc_factor_mat_solver_type superlu_dist -pc_gasm_total_subdomains 2

    196: TEST*/