Actual source code: ex11.c

      1: static char help[] = "Solves a linear system in parallel with KSP.\n\n";

      3: /*
      4:    Description: Solves a complex linear system in parallel with KSP.

      6:    The model problem:
      7:       Solve Helmholtz equation on the unit square: (0,1) x (0,1)
      8:           -delta u - sigma1*u + i*sigma2*u = f,
      9:            where delta = Laplace operator
     10:       Dirichlet b.c.'s on all sides
     11:       Use the 2-D, five-point finite difference stencil.

     13:    Compiling the code:
     14:       This code uses the complex numbers version of PETSc, so configure
     15:       must be run to enable this
     16: */

     18: /*
     19:   Include "petscksp.h" so that we can use KSP solvers.  Note that this file
     20:   automatically includes:
     21:      petscsys.h       - base PETSc routines   petscvec.h - vectors
     22:      petscmat.h - matrices
     23:      petscis.h     - index sets            petscksp.h - Krylov subspace methods
     24:      petscviewer.h - viewers               petscpc.h  - preconditioners
     25: */
     26: #include <petscksp.h>

     28: int main(int argc, char **args)
     29: {
     30:   Vec         x, b, u; /* approx solution, RHS, exact solution */
     31:   Mat         A;       /* linear system matrix */
     32:   KSP         ksp;     /* linear solver context */
     33:   PetscReal   norm;    /* norm of solution error */
     34:   PetscInt    dim, i, j, Ii, J, Istart, Iend, n = 6, its, use_random;
     35:   PetscScalar v, none = -1.0, sigma2, pfive = 0.5, *xa;
     36:   PetscRandom rctx;
     37:   PetscReal   h2, sigma1 = 100.0;
     38:   PetscBool   flg = PETSC_FALSE;

     40:   PetscFunctionBeginUser;
     41:   PetscCall(PetscInitialize(&argc, &args, NULL, help));
     42:   PetscCall(PetscOptionsGetReal(NULL, NULL, "-sigma1", &sigma1, NULL));
     43:   PetscCall(PetscOptionsGetInt(NULL, NULL, "-n", &n, NULL));
     44:   dim = n * n;

     46:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     47:          Compute the matrix and right-hand-side vector that define
     48:          the linear system, Ax = b.
     49:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     50:   /*
     51:      Create parallel matrix, specifying only its global dimensions.
     52:      When using MatCreate(), the matrix format can be specified at
     53:      runtime. Also, the parallel partitioning of the matrix is
     54:      determined by PETSc at runtime.
     55:   */
     56:   PetscCall(MatCreate(PETSC_COMM_WORLD, &A));
     57:   PetscCall(MatSetSizes(A, PETSC_DECIDE, PETSC_DECIDE, dim, dim));
     58:   PetscCall(MatSetFromOptions(A));
     59:   PetscCall(MatSetUp(A));

     61:   /*
     62:      Currently, all PETSc parallel matrix formats are partitioned by
     63:      contiguous chunks of rows across the processors.  Determine which
     64:      rows of the matrix are locally owned.
     65:   */
     66:   PetscCall(MatGetOwnershipRange(A, &Istart, &Iend));

     68:   /*
     69:      Set matrix elements in parallel.
     70:       - Each processor needs to insert only elements that it owns
     71:         locally (but any non-local elements will be sent to the
     72:         appropriate processor during matrix assembly).
     73:       - Always specify global rows and columns of matrix entries.
     74:   */

     76:   PetscCall(PetscOptionsGetBool(NULL, NULL, "-norandom", &flg, NULL));
     77:   if (flg) use_random = 0;
     78:   else use_random = 1;
     79:   if (use_random) {
     80:     PetscCall(PetscRandomCreate(PETSC_COMM_WORLD, &rctx));
     81:     PetscCall(PetscRandomSetFromOptions(rctx));
     82:     PetscCall(PetscRandomSetInterval(rctx, 0.0, PETSC_i));
     83:   } else {
     84:     sigma2 = 10.0 * PETSC_i;
     85:   }
     86:   h2 = 1.0 / ((n + 1) * (n + 1));
     87:   for (Ii = Istart; Ii < Iend; Ii++) {
     88:     v = -1.0;
     89:     i = Ii / n;
     90:     j = Ii - i * n;
     91:     if (i > 0) {
     92:       J = Ii - n;
     93:       PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &v, ADD_VALUES));
     94:     }
     95:     if (i < n - 1) {
     96:       J = Ii + n;
     97:       PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &v, ADD_VALUES));
     98:     }
     99:     if (j > 0) {
    100:       J = Ii - 1;
    101:       PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &v, ADD_VALUES));
    102:     }
    103:     if (j < n - 1) {
    104:       J = Ii + 1;
    105:       PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &v, ADD_VALUES));
    106:     }
    107:     if (use_random) PetscCall(PetscRandomGetValue(rctx, &sigma2));
    108:     v = 4.0 - sigma1 * h2 + sigma2 * h2;
    109:     PetscCall(MatSetValues(A, 1, &Ii, 1, &Ii, &v, ADD_VALUES));
    110:   }
    111:   if (use_random) PetscCall(PetscRandomDestroy(&rctx));

    113:   /*
    114:      Assemble matrix, using the 2-step process:
    115:        MatAssemblyBegin(), MatAssemblyEnd()
    116:      Computations can be done while messages are in transition
    117:      by placing code between these two statements.
    118:   */
    119:   PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
    120:   PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));

    122:   /*
    123:      Create parallel vectors.
    124:       - When using VecCreate(), VecSetSizes() and VecSetFromOptions(),
    125:       we specify only the vector's global
    126:         dimension; the parallel partitioning is determined at runtime.
    127:       - Note: We form 1 vector from scratch and then duplicate as needed.
    128:   */
    129:   PetscCall(VecCreate(PETSC_COMM_WORLD, &u));
    130:   PetscCall(VecSetSizes(u, PETSC_DECIDE, dim));
    131:   PetscCall(VecSetFromOptions(u));
    132:   PetscCall(VecDuplicate(u, &b));
    133:   PetscCall(VecDuplicate(b, &x));

    135:   /*
    136:      Set exact solution; then compute right-hand-side vector.
    137:   */

    139:   if (use_random) {
    140:     PetscCall(PetscRandomCreate(PETSC_COMM_WORLD, &rctx));
    141:     PetscCall(PetscRandomSetFromOptions(rctx));
    142:     PetscCall(VecSetRandom(u, rctx));
    143:   } else {
    144:     PetscCall(VecSet(u, pfive));
    145:   }
    146:   PetscCall(MatMult(A, u, b));

    148:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    149:                 Create the linear solver and set various options
    150:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    152:   /*
    153:      Create linear solver context
    154:   */
    155:   PetscCall(KSPCreate(PETSC_COMM_WORLD, &ksp));

    157:   /*
    158:      Set operators. Here the matrix that defines the linear system
    159:      also serves as the matrix from which the preconditioner is constructed.
    160:   */
    161:   PetscCall(KSPSetOperators(ksp, A, A));

    163:   /*
    164:     Set runtime options, e.g.,
    165:         -ksp_type <type> -pc_type <type> -ksp_monitor -ksp_rtol <rtol>
    166:   */
    167:   PetscCall(KSPSetFromOptions(ksp));

    169:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    170:                       Solve the linear system
    171:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    173:   PetscCall(KSPSolve(ksp, b, x));

    175:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    176:                       Check solution and clean up
    177:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    179:   /*
    180:       Print the first 3 entries of x; this demonstrates extraction of the
    181:       real and imaginary components of the complex vector, x.
    182:   */
    183:   flg = PETSC_FALSE;
    184:   PetscCall(PetscOptionsGetBool(NULL, NULL, "-print_x3", &flg, NULL));
    185:   if (flg) {
    186:     PetscCall(VecGetArray(x, &xa));
    187:     PetscCall(PetscPrintf(PETSC_COMM_WORLD, "The first three entries of x are:\n"));
    188:     for (i = 0; i < 3; i++) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "x[%" PetscInt_FMT "] = %g + %g i\n", i, (double)PetscRealPart(xa[i]), (double)PetscImaginaryPart(xa[i])));
    189:     PetscCall(VecRestoreArray(x, &xa));
    190:   }

    192:   /*
    193:      Check the error
    194:   */
    195:   PetscCall(VecAXPY(x, none, u));
    196:   PetscCall(VecNorm(x, NORM_2, &norm));
    197:   PetscCall(KSPGetIterationNumber(ksp, &its));
    198:   if (norm < 1.e-12) {
    199:     PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Norm of error < 1.e-12 iterations %" PetscInt_FMT "\n", its));
    200:   } else {
    201:     PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Norm of error %g iterations %" PetscInt_FMT "\n", (double)norm, its));
    202:   }

    204:   /*
    205:      Free work space.  All PETSc objects should be destroyed when they
    206:      are no longer needed.
    207:   */
    208:   PetscCall(KSPDestroy(&ksp));
    209:   if (use_random) PetscCall(PetscRandomDestroy(&rctx));
    210:   PetscCall(VecDestroy(&u));
    211:   PetscCall(VecDestroy(&x));
    212:   PetscCall(VecDestroy(&b));
    213:   PetscCall(MatDestroy(&A));
    214:   PetscCall(PetscFinalize());
    215:   return 0;
    216: }

    218: /*TEST

    220:    build:
    221:       requires: complex

    223:    test:
    224:       args: -n 6 -norandom -pc_type none -ksp_monitor_short -ksp_gmres_cgs_refinement_type refine_always

    226:    testset:
    227:       suffix: deflation
    228:       args: -norandom -pc_type deflation -ksp_monitor_short
    229:       requires: superlu_dist

    231:       test:
    232:         nsize: 6

    234:       test:
    235:         nsize: 3
    236:         args: -pc_deflation_compute_space {{db2 aggregation}}

    238:       test:
    239:         suffix: pc_deflation_init_only-0
    240:         nsize: 4
    241:         args: -ksp_type fgmres -pc_deflation_compute_space db4 -pc_deflation_compute_space_size 2 -pc_deflation_levels 2 -deflation_ksp_max_it 10
    242:         #TODO remove suffix and next test when this works
    243:         #args: -pc_deflation_init_only {{0 1}separate output}
    244:         args: -pc_deflation_init_only 0

    246:       test:
    247:         suffix: pc_deflation_init_only-1
    248:         nsize: 4
    249:         args: -ksp_type fgmres -pc_deflation_compute_space db4 -pc_deflation_compute_space_size 2 -pc_deflation_levels 2 -deflation_ksp_max_it 10
    250:         args: -pc_deflation_init_only 1

    252: TEST*/