1: #include <petscksp.h>

  3: static char help[] = "Solves a linear system using PCHPDDM and MATHTOOL.\n\n";

  5: static PetscErrorCode GenEntries(PetscInt sdim, PetscInt M, PetscInt N, const PetscInt *J, const PetscInt *K, PetscScalar *ptr, void *ctx)
  6: {
  7:   PetscInt  d, j, k;
  8:   PetscReal diff = 0.0, *coords = (PetscReal *)(ctx);

 10: #if !PetscDefined(HAVE_OPENMP)
 11:   PetscFunctionBeginUser;
 12: #endif
 13:   for (j = 0; j < M; j++) {
 14:     for (k = 0; k < N; k++) {
 15:       diff = 0.0;
 16:       for (d = 0; d < sdim; d++) diff += (coords[J[j] * sdim + d] - coords[K[k] * sdim + d]) * (coords[J[j] * sdim + d] - coords[K[k] * sdim + d]);
 17:       ptr[j + M * k] = 1.0 / (1.0e-2 + PetscSqrtReal(diff));
 18:     }
 19:   }
 20: #if !PetscDefined(HAVE_OPENMP)
 21:   PetscFunctionReturn(PETSC_SUCCESS);
 22: #else
 23:   return 0;
 24: #endif
 25: }

 27: int main(int argc, char **argv)
 28: {
 29:   KSP            ksp;
 30:   PC             pc;
 31:   Vec            b, x;
 32:   Mat            A;
 33:   PetscInt       m = 100, dim = 3, M, begin = 0, n = 0, overlap = 1;
 34:   PetscMPIInt    size;
 35:   PetscReal     *coords, *gcoords;
 36:   MatHtoolKernel kernel = GenEntries;
 37:   PetscBool      flg, sym = PETSC_FALSE;
 38:   PetscRandom    rdm;

 40:   PetscFunctionBeginUser;
 41:   PetscCall(PetscInitialize(&argc, &argv, (char *)NULL, help));
 42:   PetscCall(PetscOptionsGetInt(NULL, NULL, "-m_local", &m, NULL));
 43:   PetscCall(PetscOptionsGetBool(NULL, NULL, "-symmetric", &sym, NULL));
 44:   PetscCall(PetscOptionsGetInt(NULL, NULL, "-dim", &dim, NULL));
 45:   PetscCall(PetscOptionsGetInt(NULL, NULL, "-overlap", &overlap, NULL));
 46:   PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD, &size));
 47:   M = size * m;
 48:   PetscCall(PetscOptionsGetInt(NULL, NULL, "-M", &M, NULL));
 49:   PetscCall(PetscMalloc1(m * dim, &coords));
 50:   PetscCall(PetscRandomCreate(PETSC_COMM_WORLD, &rdm));
 51:   PetscCall(PetscRandomGetValuesReal(rdm, m * dim, coords));
 52:   PetscCall(PetscCalloc1(M * dim, &gcoords));
 53:   PetscCallMPI(MPI_Exscan(&m, &begin, 1, MPIU_INT, MPI_SUM, PETSC_COMM_WORLD));
 54:   PetscCall(PetscArraycpy(gcoords + begin * dim, coords, m * dim));
 55:   PetscCall(MPIU_Allreduce(MPI_IN_PLACE, gcoords, M * dim, MPIU_REAL, MPI_SUM, PETSC_COMM_WORLD));
 56:   PetscCall(MatCreateHtoolFromKernel(PETSC_COMM_WORLD, m, m, M, M, dim, coords, coords, kernel, gcoords, &A));
 57:   PetscCall(MatSetOption(A, MAT_SYMMETRIC, sym));
 58:   PetscCall(MatSetFromOptions(A));
 59:   PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
 60:   PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
 61:   PetscCall(MatCreateVecs(A, &b, &x));
 62:   PetscCall(VecSetRandom(b, rdm));
 63:   PetscCall(KSPCreate(PETSC_COMM_WORLD, &ksp));
 64:   PetscCall(KSPSetOperators(ksp, A, A));
 65:   PetscCall(KSPSetFromOptions(ksp));
 66:   PetscCall(KSPGetPC(ksp, &pc));
 67:   PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCHPDDM, &flg));
 68:   if (flg) {
 69: #if defined(PETSC_HAVE_HPDDM) && defined(PETSC_HAVE_DYNAMIC_LIBRARIES) && defined(PETSC_USE_SHARED_LIBRARIES)
 70:     Mat aux;
 71:     IS  is;
 72:     PetscCall(MatGetOwnershipRange(A, &begin, &n));
 73:     n -= begin;
 74:     PetscCall(ISCreateStride(PETSC_COMM_SELF, n, begin, 1, &is));
 75:     PetscCall(MatIncreaseOverlap(A, 1, &is, overlap));
 76:     PetscCall(ISGetLocalSize(is, &n));
 77:     PetscCall(MatCreateDense(PETSC_COMM_SELF, n, n, n, n, NULL, &aux));
 78:     PetscCall(MatSetOption(aux, MAT_SYMMETRIC, sym));
 79:     PetscCall(MatAssemblyBegin(aux, MAT_FINAL_ASSEMBLY));
 80:     PetscCall(MatAssemblyEnd(aux, MAT_FINAL_ASSEMBLY));
 81:     PetscCall(MatShift(aux, 1.0)); /* just the local identity matrix, not very meaningful numerically, but just testing that the necessary plumbing is there */
 82:     PetscCall(PCHPDDMSetAuxiliaryMat(pc, is, aux, NULL, NULL));
 83:     PetscCall(ISDestroy(&is));
 84:     PetscCall(MatDestroy(&aux));
 85: #endif
 86:   }
 87:   PetscCall(KSPSolve(ksp, b, x));
 88:   PetscCall(KSPDestroy(&ksp));
 89:   PetscCall(PetscRandomDestroy(&rdm));
 90:   PetscCall(VecDestroy(&b));
 91:   PetscCall(VecDestroy(&x));
 92:   PetscCall(MatDestroy(&A));
 93:   PetscCall(PetscFree(gcoords));
 94:   PetscCall(PetscFree(coords));
 95:   PetscCall(PetscFinalize());
 96:   return 0;
 97: }

 99: /*TEST

101:    build:
102:       requires: htool hpddm

104:    test:
105:       requires: htool hpddm slepc defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
106:       nsize: 4
107:       # different numbers of iterations depending on PetscScalar type
108:       filter: sed -e "s/symmetry: S/symmetry: N/g" -e "/number of dense/d" -e "s/Linear solve converged due to CONVERGED_RTOL iterations 13/Linear solve converged due to CONVERGED_RTOL iterations 18/g"
109:       args: -ksp_view -ksp_converged_reason -mat_htool_epsilon 1e-2 -m_local 200 -pc_type hpddm -pc_hpddm_define_subdomains -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_nev 1 -pc_hpddm_coarse_pc_type lu -pc_hpddm_levels_1_eps_gen_non_hermitian -symmetric {{false true}shared output} -overlap 2
110:       output_file: output/ex82_1.out

112: TEST*/