static char help[] = "Poisson Problem in 2d and 3d with simplicial finite elements.\n\ We solve the Poisson problem in a rectangular\n\ domain, using a parallel unstructured mesh (DMPLEX) to discretize it.\n\ This example supports discretized auxiliary fields (conductivity) as well as\n\ multilevel nonlinear solvers.\n\n\n"; /* A visualization of the adaptation can be accomplished using: -dm_adapt_view hdf5:$PWD/adapt.h5 -sol_adapt_view hdf5:$PWD/adapt.h5::append -dm_adapt_pre_view hdf5:$PWD/orig.h5 -sol_adapt_pre_view hdf5:$PWD/orig.h5::append Information on refinement: -info :~sys,vec,is,mat,ksp,snes,ts */ #include #include #include #include #include typedef enum { NEUMANN, DIRICHLET, NONE } BCType; typedef enum { RUN_FULL, RUN_EXACT, RUN_TEST, RUN_PERF } RunType; typedef enum { COEFF_NONE, COEFF_ANALYTIC, COEFF_FIELD, COEFF_NONLINEAR, COEFF_BALL, COEFF_CROSS, COEFF_CHECKERBOARD_0, COEFF_CHECKERBOARD_1 } CoeffType; typedef struct { RunType runType; /* Whether to run tests, or solve the full problem */ PetscBool jacobianMF; /* Whether to calculate the Jacobian action on the fly */ PetscBool showInitial, showSolution, restart, quiet, nonzInit; /* Problem definition */ BCType bcType; CoeffType variableCoefficient; PetscErrorCode (**exactFuncs)(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, PetscCtx ctx); PetscBool fieldBC; void (**exactFields)(PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[], const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[], PetscReal, const PetscReal[], PetscInt, const PetscScalar[], PetscScalar[]); PetscBool bdIntegral; /* Compute the integral of the solution on the boundary */ /* Reproducing tests from SISC 40(3), pp. A1473-A1493, 2018 */ PetscInt div; /* Number of divisions */ PetscInt k; /* Parameter for checkerboard coefficient */ PetscInt *kgrid; /* Random parameter grid */ PetscBool rand; /* Make random assignments */ /* Solver */ PC pcmg; /* This is needed for error monitoring */ PetscBool checkksp; /* Whether to check the KSPSolve for runType == RUN_TEST */ } AppCtx; static PetscErrorCode zero(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, PetscCtx ctx) { u[0] = 0.0; return PETSC_SUCCESS; } static PetscErrorCode ecks(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, PetscCtx ctx) { u[0] = x[0]; return PETSC_SUCCESS; } /* In 2D for Dirichlet conditions, we use exact solution: u = x^2 + y^2 f = 4 so that -\Delta u + f = -4 + 4 = 0 For Neumann conditions, we have -\nabla u \cdot -\hat y |_{y=0} = (2y)|_{y=0} = 0 (bottom) -\nabla u \cdot \hat y |_{y=1} = -(2y)|_{y=1} = -2 (top) -\nabla u \cdot -\hat x |_{x=0} = (2x)|_{x=0} = 0 (left) -\nabla u \cdot \hat x |_{x=1} = -(2x)|_{x=1} = -2 (right) Which we can express as \nabla u \cdot \hat n|_\Gamma = {2 x, 2 y} \cdot \hat n = 2 (x + y) The boundary integral of this solution is (assuming we are not orienting the edges) \int^1_0 x^2 dx + \int^1_0 (1 + y^2) dy + \int^1_0 (x^2 + 1) dx + \int^1_0 y^2 dy = 1/3 + 4/3 + 4/3 + 1/3 = 3 1/3 */ static PetscErrorCode quadratic_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, PetscCtx ctx) { *u = x[0] * x[0] + x[1] * x[1]; return PETSC_SUCCESS; } static void quadratic_u_field_2d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar uexact[]) { uexact[0] = a[0]; } static PetscErrorCode ball_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, PetscCtx ctx) { const PetscReal alpha = 500.; const PetscReal radius2 = PetscSqr(0.15); const PetscReal r2 = PetscSqr(x[0] - 0.5) + PetscSqr(x[1] - 0.5); const PetscReal xi = alpha * (radius2 - r2); *u = PetscTanhScalar(xi) + 1.0; return PETSC_SUCCESS; } static PetscErrorCode cross_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, PetscCtx ctx) { const PetscReal alpha = 50 * 4; const PetscReal xy = (x[0] - 0.5) * (x[1] - 0.5); *u = PetscSinReal(alpha * xy) * (alpha * PetscAbsReal(xy) < 2 * PETSC_PI ? 1 : 0.01); return PETSC_SUCCESS; } static void f0_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { f0[0] = 4.0; } static void f0_ball_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { PetscInt d; const PetscReal alpha = 500., radius2 = PetscSqr(0.15); PetscReal r2, xi; for (d = 0, r2 = 0.0; d < dim; ++d) r2 += PetscSqr(x[d] - 0.5); xi = alpha * (radius2 - r2); f0[0] = (-2.0 * dim * alpha - 8.0 * PetscSqr(alpha) * r2 * PetscTanhReal(xi)) * PetscSqr(1.0 / PetscCoshReal(xi)); } static void f0_cross_u_2d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { const PetscReal alpha = 50 * 4; const PetscReal xy = (x[0] - 0.5) * (x[1] - 0.5); f0[0] = PetscSinReal(alpha * xy) * (alpha * PetscAbsReal(xy) < 2 * PETSC_PI ? 1 : 0.01); } static void f0_checkerboard_0_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { f0[0] = -20.0 * PetscExpReal(-(PetscSqr(x[0] - 0.5) + PetscSqr(x[1] - 0.5))); } static void f0_bd_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], const PetscReal n[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { PetscInt d; for (d = 0, f0[0] = 0.0; d < dim; ++d) f0[0] += -n[d] * 2.0 * x[d]; } /* gradU[comp*dim+d] = {u_x, u_y} or {u_x, u_y, u_z} */ static void f1_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[]) { PetscInt d; for (d = 0; d < dim; ++d) f1[d] = u_x[d]; } /* < \nabla v, \nabla u + {\nabla u}^T > This just gives \nabla u, give the perdiagonal for the transpose */ static void g3_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[]) { PetscInt d; for (d = 0; d < dim; ++d) g3[d * dim + d] = 1.0; } /* In 2D for x periodicity and y Dirichlet conditions, we use exact solution: u = sin(2 pi x) f = -4 pi^2 sin(2 pi x) so that -\Delta u + f = 4 pi^2 sin(2 pi x) - 4 pi^2 sin(2 pi x) = 0 */ static PetscErrorCode xtrig_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, PetscCtx ctx) { *u = PetscSinReal(2.0 * PETSC_PI * x[0]); return PETSC_SUCCESS; } static void f0_xtrig_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { f0[0] = -4.0 * PetscSqr(PETSC_PI) * PetscSinReal(2.0 * PETSC_PI * x[0]); } /* In 2D for x-y periodicity, we use exact solution: u = sin(2 pi x) sin(2 pi y) f = -8 pi^2 sin(2 pi x) so that -\Delta u + f = 4 pi^2 sin(2 pi x) sin(2 pi y) + 4 pi^2 sin(2 pi x) sin(2 pi y) - 8 pi^2 sin(2 pi x) = 0 */ static PetscErrorCode xytrig_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, PetscCtx ctx) { *u = PetscSinReal(2.0 * PETSC_PI * x[0]) * PetscSinReal(2.0 * PETSC_PI * x[1]); return PETSC_SUCCESS; } static void f0_xytrig_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { f0[0] = -8.0 * PetscSqr(PETSC_PI) * PetscSinReal(2.0 * PETSC_PI * x[0]); } /* In 2D for Dirichlet conditions with a variable coefficient, we use exact solution: u = x^2 + y^2 f = 6 (x + y) nu = (x + y) so that -\div \nu \grad u + f = -6 (x + y) + 6 (x + y) = 0 */ static PetscErrorCode nu_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, PetscCtx ctx) { *u = x[0] + x[1]; return PETSC_SUCCESS; } static PetscErrorCode checkerboardCoeff(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, PetscCtx ctx) { AppCtx *user = (AppCtx *)ctx; PetscInt div = user->div; PetscInt k = user->k; PetscInt mask = 0, ind = 0, d; PetscFunctionBeginUser; for (d = 0; d < dim; ++d) mask = (mask + (PetscInt)(x[d] * div)) % 2; if (user->kgrid) { for (d = 0; d < dim; ++d) { if (d > 0) ind *= dim; ind += (PetscInt)(x[d] * div); } k = user->kgrid[ind]; } u[0] = mask ? 1.0 : PetscPowRealInt(10.0, -k); PetscFunctionReturn(PETSC_SUCCESS); } void f0_analytic_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { f0[0] = 6.0 * (x[0] + x[1]); } /* gradU[comp*dim+d] = {u_x, u_y} or {u_x, u_y, u_z} */ void f1_analytic_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[]) { PetscInt d; for (d = 0; d < dim; ++d) f1[d] = (x[0] + x[1]) * u_x[d]; } void f1_field_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[]) { PetscInt d; for (d = 0; d < dim; ++d) f1[d] = a[0] * u_x[d]; } /* < \nabla v, \nabla u + {\nabla u}^T > This just gives \nabla u, give the perdiagonal for the transpose */ void g3_analytic_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[]) { PetscInt d; for (d = 0; d < dim; ++d) g3[d * dim + d] = x[0] + x[1]; } void g3_field_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[]) { PetscInt d; for (d = 0; d < dim; ++d) g3[d * dim + d] = a[0]; } /* In 2D for Dirichlet conditions with a nonlinear coefficient (p-Laplacian with p = 4), we use exact solution: u = x^2 + y^2 f = 16 (x^2 + y^2) nu = 1/2 |grad u|^2 so that -\div \nu \grad u + f = -16 (x^2 + y^2) + 16 (x^2 + y^2) = 0 */ void f0_analytic_nonlinear_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { f0[0] = 16.0 * (x[0] * x[0] + x[1] * x[1]); } /* gradU[comp*dim+d] = {u_x, u_y} or {u_x, u_y, u_z} */ void f1_analytic_nonlinear_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[]) { PetscScalar nu = 0.0; PetscInt d; for (d = 0; d < dim; ++d) nu += u_x[d] * u_x[d]; for (d = 0; d < dim; ++d) f1[d] = 0.5 * nu * u_x[d]; } /* grad (u + eps w) - grad u = eps grad w 1/2 |grad (u + eps w)|^2 grad (u + eps w) - 1/2 |grad u|^2 grad u = 1/2 (|grad u|^2 + 2 eps ) (grad u + eps grad w) - 1/2 |grad u|^2 grad u = 1/2 (eps |grad u|^2 grad w + 2 eps grad u) = eps (1/2 |grad u|^2 grad w + grad u ) */ void g3_analytic_nonlinear_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[]) { PetscScalar nu = 0.0; PetscInt d, e; for (d = 0; d < dim; ++d) nu += u_x[d] * u_x[d]; for (d = 0; d < dim; ++d) { g3[d * dim + d] = 0.5 * nu; for (e = 0; e < dim; ++e) g3[d * dim + e] += u_x[d] * u_x[e]; } } /* In 3D for Dirichlet conditions we use exact solution: u = 2/3 (x^2 + y^2 + z^2) f = 4 so that -\Delta u + f = -2/3 * 6 + 4 = 0 For Neumann conditions, we have -\nabla u \cdot -\hat z |_{z=0} = (2z)|_{z=0} = 0 (bottom) -\nabla u \cdot \hat z |_{z=1} = -(2z)|_{z=1} = -2 (top) -\nabla u \cdot -\hat y |_{y=0} = (2y)|_{y=0} = 0 (front) -\nabla u \cdot \hat y |_{y=1} = -(2y)|_{y=1} = -2 (back) -\nabla u \cdot -\hat x |_{x=0} = (2x)|_{x=0} = 0 (left) -\nabla u \cdot \hat x |_{x=1} = -(2x)|_{x=1} = -2 (right) Which we can express as \nabla u \cdot \hat n|_\Gamma = {2 x, 2 y, 2z} \cdot \hat n = 2 (x + y + z) */ static PetscErrorCode quadratic_u_3d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, PetscCtx ctx) { *u = 2.0 * (x[0] * x[0] + x[1] * x[1] + x[2] * x[2]) / 3.0; return PETSC_SUCCESS; } static PetscErrorCode ball_u_3d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, PetscCtx ctx) { const PetscReal alpha = 500.; const PetscReal radius2 = PetscSqr(0.15); const PetscReal r2 = PetscSqr(x[0] - 0.5) + PetscSqr(x[1] - 0.5) + PetscSqr(x[2] - 0.5); const PetscReal xi = alpha * (radius2 - r2); *u = PetscTanhScalar(xi) + 1.0; return PETSC_SUCCESS; } static void quadratic_u_field_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar uexact[]) { uexact[0] = a[0]; } static PetscErrorCode cross_u_3d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, PetscCtx ctx) { const PetscReal alpha = 50 * 4; const PetscReal xyz = (x[0] - 0.5) * (x[1] - 0.5) * (x[2] - 0.5); *u = PetscSinReal(alpha * xyz) * (alpha * PetscAbsReal(xyz) < 2 * PETSC_PI ? (alpha * PetscAbsReal(xyz) > -2 * PETSC_PI ? 1.0 : 0.01) : 0.01); return PETSC_SUCCESS; } static void f0_cross_u_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { const PetscReal alpha = 50 * 4; const PetscReal xyz = (x[0] - 0.5) * (x[1] - 0.5) * (x[2] - 0.5); f0[0] = PetscSinReal(alpha * xyz) * (alpha * PetscAbsReal(xyz) < 2 * PETSC_PI ? (alpha * PetscAbsReal(xyz) > -2 * PETSC_PI ? 1.0 : 0.01) : 0.01); } static void bd_integral_2d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], const PetscReal n[], PetscInt numConstants, const PetscScalar constants[], PetscScalar *uint) { uint[0] = u[0]; } static PetscErrorCode ProcessOptions(MPI_Comm comm, AppCtx *options) { const char *bcTypes[3] = {"neumann", "dirichlet", "none"}; const char *runTypes[4] = {"full", "exact", "test", "perf"}; const char *coeffTypes[8] = {"none", "analytic", "field", "nonlinear", "ball", "cross", "checkerboard_0", "checkerboard_1"}; PetscInt bc, run, coeff; PetscFunctionBeginUser; options->runType = RUN_FULL; options->bcType = DIRICHLET; options->variableCoefficient = COEFF_NONE; options->fieldBC = PETSC_FALSE; options->jacobianMF = PETSC_FALSE; options->showInitial = PETSC_FALSE; options->showSolution = PETSC_FALSE; options->restart = PETSC_FALSE; options->quiet = PETSC_FALSE; options->nonzInit = PETSC_FALSE; options->bdIntegral = PETSC_FALSE; options->checkksp = PETSC_FALSE; options->div = 4; options->k = 1; options->kgrid = NULL; options->rand = PETSC_FALSE; PetscOptionsBegin(comm, "", "Poisson Problem Options", "DMPLEX"); run = options->runType; PetscCall(PetscOptionsEList("-run_type", "The run type", "ex12.c", runTypes, 4, runTypes[options->runType], &run, NULL)); options->runType = (RunType)run; bc = options->bcType; PetscCall(PetscOptionsEList("-bc_type", "Type of boundary condition", "ex12.c", bcTypes, 3, bcTypes[options->bcType], &bc, NULL)); options->bcType = (BCType)bc; coeff = options->variableCoefficient; PetscCall(PetscOptionsEList("-variable_coefficient", "Type of variable coefficient", "ex12.c", coeffTypes, 8, coeffTypes[options->variableCoefficient], &coeff, NULL)); options->variableCoefficient = (CoeffType)coeff; PetscCall(PetscOptionsBool("-field_bc", "Use a field representation for the BC", "ex12.c", options->fieldBC, &options->fieldBC, NULL)); PetscCall(PetscOptionsBool("-jacobian_mf", "Calculate the action of the Jacobian on the fly", "ex12.c", options->jacobianMF, &options->jacobianMF, NULL)); PetscCall(PetscOptionsBool("-show_initial", "Output the initial guess for verification", "ex12.c", options->showInitial, &options->showInitial, NULL)); PetscCall(PetscOptionsBool("-show_solution", "Output the solution for verification", "ex12.c", options->showSolution, &options->showSolution, NULL)); PetscCall(PetscOptionsBool("-restart", "Read in the mesh and solution from a file", "ex12.c", options->restart, &options->restart, NULL)); PetscCall(PetscOptionsBool("-quiet", "Don't print any vecs", "ex12.c", options->quiet, &options->quiet, NULL)); PetscCall(PetscOptionsBool("-nonzero_initial_guess", "nonzero initial guess", "ex12.c", options->nonzInit, &options->nonzInit, NULL)); PetscCall(PetscOptionsBool("-bd_integral", "Compute the integral of the solution on the boundary", "ex12.c", options->bdIntegral, &options->bdIntegral, NULL)); if (options->runType == RUN_TEST) PetscCall(PetscOptionsBool("-run_test_check_ksp", "Check solution of KSP", "ex12.c", options->checkksp, &options->checkksp, NULL)); PetscCall(PetscOptionsInt("-div", "The number of division for the checkerboard coefficient", "ex12.c", options->div, &options->div, NULL)); PetscCall(PetscOptionsInt("-k", "The exponent for the checkerboard coefficient", "ex12.c", options->k, &options->k, NULL)); PetscCall(PetscOptionsBool("-k_random", "Assign random k values to checkerboard", "ex12.c", options->rand, &options->rand, NULL)); PetscOptionsEnd(); PetscFunctionReturn(PETSC_SUCCESS); } static PetscErrorCode CreateBCLabel(DM dm, const char name[]) { DM plex; DMLabel label; PetscFunctionBeginUser; PetscCall(DMCreateLabel(dm, name)); PetscCall(DMGetLabel(dm, name, &label)); PetscCall(DMConvert(dm, DMPLEX, &plex)); PetscCall(DMPlexMarkBoundaryFaces(plex, 1, label)); PetscCall(DMDestroy(&plex)); PetscFunctionReturn(PETSC_SUCCESS); } static PetscErrorCode CreateMesh(MPI_Comm comm, AppCtx *user, DM *dm) { PetscFunctionBeginUser; PetscCall(DMCreate(comm, dm)); PetscCall(DMSetType(*dm, DMPLEX)); PetscCall(DMSetFromOptions(*dm)); { char convType[256]; PetscBool flg; PetscOptionsBegin(comm, "", "Mesh conversion options", "DMPLEX"); PetscCall(PetscOptionsFList("-dm_plex_convert_type", "Convert DMPlex to another format", "ex12", DMList, DMPLEX, convType, 256, &flg)); PetscOptionsEnd(); if (flg) { DM dmConv; PetscCall(DMConvert(*dm, convType, &dmConv)); if (dmConv) { PetscCall(DMDestroy(dm)); *dm = dmConv; } PetscCall(DMSetFromOptions(*dm)); PetscCall(DMSetUp(*dm)); } } PetscCall(DMViewFromOptions(*dm, NULL, "-dm_view")); if (user->rand) { PetscRandom r; PetscReal val; PetscInt dim, N, i; PetscCall(DMGetDimension(*dm, &dim)); N = PetscPowInt(user->div, dim); PetscCall(PetscMalloc1(N, &user->kgrid)); PetscCall(PetscRandomCreate(PETSC_COMM_SELF, &r)); PetscCall(PetscRandomSetFromOptions(r)); PetscCall(PetscRandomSetInterval(r, 0.0, user->k)); PetscCall(PetscRandomSetSeed(r, 1973)); PetscCall(PetscRandomSeed(r)); for (i = 0; i < N; ++i) { PetscCall(PetscRandomGetValueReal(r, &val)); user->kgrid[i] = 1 + (PetscInt)val; } PetscCall(PetscRandomDestroy(&r)); } PetscFunctionReturn(PETSC_SUCCESS); } static PetscErrorCode SetupProblem(DM dm, AppCtx *user) { PetscDS ds; DMLabel label; PetscWeakForm wf; const PetscReal *L; const PetscInt id = 1; PetscInt bd, dim; PetscFunctionBeginUser; PetscCall(DMGetDS(dm, &ds)); PetscCall(DMGetDimension(dm, &dim)); PetscCall(DMGetPeriodicity(dm, NULL, NULL, &L)); switch (user->variableCoefficient) { case COEFF_NONE: if (L && L[0]) { if (L && L[1]) { PetscCall(PetscDSSetResidual(ds, 0, f0_xytrig_u, f1_u)); PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu)); } else { PetscCall(PetscDSSetResidual(ds, 0, f0_xtrig_u, f1_u)); PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu)); } } else { PetscCall(PetscDSSetResidual(ds, 0, f0_u, f1_u)); PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu)); } break; case COEFF_ANALYTIC: PetscCall(PetscDSSetResidual(ds, 0, f0_analytic_u, f1_analytic_u)); PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_analytic_uu)); break; case COEFF_FIELD: PetscCall(PetscDSSetResidual(ds, 0, f0_analytic_u, f1_field_u)); PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_field_uu)); break; case COEFF_NONLINEAR: PetscCall(PetscDSSetResidual(ds, 0, f0_analytic_nonlinear_u, f1_analytic_nonlinear_u)); PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_analytic_nonlinear_uu)); break; case COEFF_BALL: PetscCall(PetscDSSetResidual(ds, 0, f0_ball_u, f1_u)); PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu)); break; case COEFF_CROSS: switch (dim) { case 2: PetscCall(PetscDSSetResidual(ds, 0, f0_cross_u_2d, f1_u)); break; case 3: PetscCall(PetscDSSetResidual(ds, 0, f0_cross_u_3d, f1_u)); break; default: SETERRQ(PETSC_COMM_WORLD, PETSC_ERR_ARG_OUTOFRANGE, "Invalid dimension %" PetscInt_FMT, dim); } PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu)); break; case COEFF_CHECKERBOARD_0: PetscCall(PetscDSSetResidual(ds, 0, f0_checkerboard_0_u, f1_field_u)); PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_field_uu)); break; default: SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Invalid variable coefficient type %d", user->variableCoefficient); } switch (dim) { case 2: switch (user->variableCoefficient) { case COEFF_BALL: user->exactFuncs[0] = ball_u_2d; break; case COEFF_CROSS: user->exactFuncs[0] = cross_u_2d; break; case COEFF_CHECKERBOARD_0: user->exactFuncs[0] = zero; break; default: if (L && L[0]) { if (L && L[1]) { user->exactFuncs[0] = xytrig_u_2d; } else { user->exactFuncs[0] = xtrig_u_2d; } } else { user->exactFuncs[0] = quadratic_u_2d; user->exactFields[0] = quadratic_u_field_2d; } } if (user->bcType == NEUMANN) { PetscCall(DMGetLabel(dm, "boundary", &label)); PetscCall(DMAddBoundary(dm, DM_BC_NATURAL, "wall", label, 1, &id, 0, 0, NULL, NULL, NULL, user, &bd)); PetscCall(PetscDSGetBoundary(ds, bd, &wf, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL)); PetscCall(PetscWeakFormSetIndexBdResidual(wf, label, id, 0, 0, 0, f0_bd_u, 0, NULL)); } break; case 3: switch (user->variableCoefficient) { case COEFF_BALL: user->exactFuncs[0] = ball_u_3d; break; case COEFF_CROSS: user->exactFuncs[0] = cross_u_3d; break; default: user->exactFuncs[0] = quadratic_u_3d; user->exactFields[0] = quadratic_u_field_3d; } if (user->bcType == NEUMANN) { PetscCall(DMGetLabel(dm, "boundary", &label)); PetscCall(DMAddBoundary(dm, DM_BC_NATURAL, "wall", label, 1, &id, 0, 0, NULL, NULL, NULL, user, &bd)); PetscCall(PetscDSGetBoundary(ds, bd, &wf, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL)); PetscCall(PetscWeakFormSetIndexBdResidual(wf, label, id, 0, 0, 0, f0_bd_u, 0, NULL)); } break; default: SETERRQ(PETSC_COMM_WORLD, PETSC_ERR_ARG_OUTOFRANGE, "Invalid dimension %" PetscInt_FMT, dim); } /* Setup constants */ switch (user->variableCoefficient) { case COEFF_CHECKERBOARD_0: { PetscScalar constants[2]; constants[0] = user->div; constants[1] = user->k; PetscCall(PetscDSSetConstants(ds, 2, constants)); } break; default: break; } PetscCall(PetscDSSetExactSolution(ds, 0, user->exactFuncs[0], user)); /* Setup Boundary Conditions */ if (user->bcType == DIRICHLET) { PetscCall(DMGetLabel(dm, "marker", &label)); if (!label) { /* Right now, p4est cannot create labels immediately */ PetscCall(PetscDSAddBoundaryByName(ds, user->fieldBC ? DM_BC_ESSENTIAL_FIELD : DM_BC_ESSENTIAL, "wall", "marker", 1, &id, 0, 0, NULL, user->fieldBC ? (PetscVoidFn *)user->exactFields[0] : (PetscVoidFn *)user->exactFuncs[0], NULL, user, NULL)); } else { PetscCall(DMAddBoundary(dm, user->fieldBC ? DM_BC_ESSENTIAL_FIELD : DM_BC_ESSENTIAL, "wall", label, 1, &id, 0, 0, NULL, user->fieldBC ? (PetscVoidFn *)user->exactFields[0] : (PetscVoidFn *)user->exactFuncs[0], NULL, user, NULL)); } } PetscFunctionReturn(PETSC_SUCCESS); } static PetscErrorCode SetupMaterial(DM dm, DM dmAux, AppCtx *user) { PetscErrorCode (*matFuncs[1])(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar u[], PetscCtx ctx) = {nu_2d}; PetscCtx ctx[1]; Vec nu; PetscFunctionBegin; ctx[0] = user; if (user->variableCoefficient == COEFF_CHECKERBOARD_0) matFuncs[0] = checkerboardCoeff; PetscCall(DMCreateLocalVector(dmAux, &nu)); PetscCall(PetscObjectSetName((PetscObject)nu, "Coefficient")); PetscCall(DMProjectFunctionLocal(dmAux, 0.0, matFuncs, ctx, INSERT_ALL_VALUES, nu)); PetscCall(DMSetAuxiliaryVec(dm, NULL, 0, 0, nu)); PetscCall(VecDestroy(&nu)); PetscFunctionReturn(PETSC_SUCCESS); } static PetscErrorCode SetupBC(DM dm, DM dmAux, AppCtx *user) { PetscErrorCode (*bcFuncs[1])(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar u[], PetscCtx ctx); Vec uexact; PetscInt dim; PetscFunctionBegin; PetscCall(DMGetDimension(dm, &dim)); if (dim == 2) bcFuncs[0] = quadratic_u_2d; else bcFuncs[0] = quadratic_u_3d; PetscCall(DMCreateLocalVector(dmAux, &uexact)); PetscCall(DMProjectFunctionLocal(dmAux, 0.0, bcFuncs, NULL, INSERT_ALL_VALUES, uexact)); PetscCall(DMSetAuxiliaryVec(dm, NULL, 0, 0, uexact)); PetscCall(VecDestroy(&uexact)); PetscFunctionReturn(PETSC_SUCCESS); } static PetscErrorCode SetupAuxDM(DM dm, PetscFE feAux, AppCtx *user) { DM dmAux, coordDM; PetscFunctionBegin; /* MUST call DMGetCoordinateDM() in order to get p4est setup if present */ PetscCall(DMGetCoordinateDM(dm, &coordDM)); if (!feAux) PetscFunctionReturn(PETSC_SUCCESS); PetscCall(DMClone(dm, &dmAux)); PetscCall(DMSetCoordinateDM(dmAux, coordDM)); PetscCall(DMSetField(dmAux, 0, NULL, (PetscObject)feAux)); PetscCall(DMCreateDS(dmAux)); if (user->fieldBC) PetscCall(SetupBC(dm, dmAux, user)); else PetscCall(SetupMaterial(dm, dmAux, user)); PetscCall(DMDestroy(&dmAux)); PetscFunctionReturn(PETSC_SUCCESS); } static PetscErrorCode SetupDiscretization(DM dm, AppCtx *user) { DM plex, cdm = dm; PetscFE fe, feAux = NULL; PetscBool simplex; PetscInt dim; PetscFunctionBeginUser; PetscCall(DMGetDimension(dm, &dim)); PetscCall(DMConvert(dm, DMPLEX, &plex)); PetscCall(DMPlexIsSimplex(plex, &simplex)); PetscCall(DMDestroy(&plex)); PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, simplex, NULL, -1, &fe)); PetscCall(PetscObjectSetName((PetscObject)fe, "potential")); if (user->variableCoefficient == COEFF_FIELD || user->variableCoefficient == COEFF_CHECKERBOARD_0) { PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, simplex, "mat_", -1, &feAux)); PetscCall(PetscObjectSetName((PetscObject)feAux, "coefficient")); PetscCall(PetscFECopyQuadrature(fe, feAux)); } else if (user->fieldBC) { PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, simplex, "bc_", -1, &feAux)); PetscCall(PetscFECopyQuadrature(fe, feAux)); } /* Set discretization and boundary conditions for each mesh */ PetscCall(DMSetField(dm, 0, NULL, (PetscObject)fe)); PetscCall(DMCreateDS(dm)); PetscCall(SetupProblem(dm, user)); while (cdm) { PetscCall(SetupAuxDM(cdm, feAux, user)); if (user->bcType == DIRICHLET) { PetscBool hasLabel; PetscCall(DMHasLabel(cdm, "marker", &hasLabel)); if (!hasLabel) PetscCall(CreateBCLabel(cdm, "marker")); } PetscCall(DMCopyDisc(dm, cdm)); PetscCall(DMGetCoarseDM(cdm, &cdm)); } PetscCall(PetscFEDestroy(&fe)); PetscCall(PetscFEDestroy(&feAux)); PetscFunctionReturn(PETSC_SUCCESS); } int main(int argc, char **argv) { DM dm; /* Problem specification */ SNES snes; /* nonlinear solver */ Vec u; /* solution vector */ Mat A, J; /* Jacobian matrix */ MatNullSpace nullSpace; /* May be necessary for Neumann conditions */ AppCtx user; /* user-defined work context */ JacActionCtx userJ; /* context for Jacobian MF action */ PetscReal error = 0.0; /* L_2 error in the solution */ PetscFunctionBeginUser; PetscCall(PetscInitialize(&argc, &argv, NULL, help)); PetscCall(ProcessOptions(PETSC_COMM_WORLD, &user)); PetscCall(SNESCreate(PETSC_COMM_WORLD, &snes)); PetscCall(CreateMesh(PETSC_COMM_WORLD, &user, &dm)); PetscCall(SNESSetDM(snes, dm)); PetscCall(DMSetApplicationContext(dm, &user)); PetscCall(PetscMalloc2(1, &user.exactFuncs, 1, &user.exactFields)); PetscCall(SetupDiscretization(dm, &user)); PetscCall(DMCreateGlobalVector(dm, &u)); PetscCall(PetscObjectSetName((PetscObject)u, "potential")); PetscCall(DMCreateMatrix(dm, &J)); if (user.jacobianMF) { PetscInt M, m, N, n; PetscCall(MatGetSize(J, &M, &N)); PetscCall(MatGetLocalSize(J, &m, &n)); PetscCall(MatCreate(PETSC_COMM_WORLD, &A)); PetscCall(MatSetSizes(A, m, n, M, N)); PetscCall(MatSetType(A, MATSHELL)); PetscCall(MatSetUp(A)); #if 0 PetscCall(MatShellSetOperation(A, MATOP_MULT, (PetscErrorCodeFn *)FormJacobianAction)); #endif userJ.dm = dm; userJ.J = J; userJ.user = &user; PetscCall(DMCreateLocalVector(dm, &userJ.u)); if (user.fieldBC) PetscCall(DMProjectFieldLocal(dm, 0.0, userJ.u, user.exactFields, INSERT_BC_VALUES, userJ.u)); else PetscCall(DMProjectFunctionLocal(dm, 0.0, user.exactFuncs, NULL, INSERT_BC_VALUES, userJ.u)); PetscCall(MatShellSetContext(A, &userJ)); } else { A = J; } nullSpace = NULL; if (user.bcType != DIRICHLET) { PetscCall(MatNullSpaceCreate(PetscObjectComm((PetscObject)dm), PETSC_TRUE, 0, NULL, &nullSpace)); PetscCall(MatSetNullSpace(A, nullSpace)); } PetscCall(DMPlexSetSNESLocalFEM(dm, PETSC_FALSE, &user)); PetscCall(SNESSetJacobian(snes, A, J, NULL, NULL)); PetscCall(SNESSetFromOptions(snes)); if (user.fieldBC) PetscCall(DMProjectField(dm, 0.0, u, user.exactFields, INSERT_ALL_VALUES, u)); else PetscCall(DMProjectFunction(dm, 0.0, user.exactFuncs, NULL, INSERT_ALL_VALUES, u)); if (user.restart) { #if defined(PETSC_HAVE_HDF5) PetscViewer viewer; char filename[PETSC_MAX_PATH_LEN]; PetscCall(PetscOptionsGetString(NULL, NULL, "-dm_plex_filename", filename, sizeof(filename), NULL)); PetscCall(PetscViewerCreate(PETSC_COMM_WORLD, &viewer)); PetscCall(PetscViewerSetType(viewer, PETSCVIEWERHDF5)); PetscCall(PetscViewerFileSetMode(viewer, FILE_MODE_READ)); PetscCall(PetscViewerFileSetName(viewer, filename)); PetscCall(PetscViewerHDF5PushGroup(viewer, "/fields")); PetscCall(VecLoad(u, viewer)); PetscCall(PetscViewerHDF5PopGroup(viewer)); PetscCall(PetscViewerDestroy(&viewer)); #endif } if (user.showInitial) { Vec lv; PetscCall(DMGetLocalVector(dm, &lv)); PetscCall(DMGlobalToLocalBegin(dm, u, INSERT_VALUES, lv)); PetscCall(DMGlobalToLocalEnd(dm, u, INSERT_VALUES, lv)); PetscCall(DMPrintLocalVec(dm, "Local function", 1.0e-10, lv)); PetscCall(DMRestoreLocalVector(dm, &lv)); } if (user.runType == RUN_FULL || user.runType == RUN_EXACT) { PetscErrorCode (*initialGuess[1])(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar u[], PetscCtx ctx) = {zero}; if (user.nonzInit) initialGuess[0] = ecks; if (user.runType == RUN_FULL) PetscCall(DMProjectFunction(dm, 0.0, initialGuess, NULL, INSERT_VALUES, u)); PetscCall(VecViewFromOptions(u, NULL, "-guess_vec_view")); PetscCall(SNESSolve(snes, NULL, u)); PetscCall(SNESGetSolution(snes, &u)); PetscCall(SNESGetDM(snes, &dm)); if (user.showSolution) { PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Solution\n")); PetscCall(VecFilter(u, 3.0e-9)); PetscCall(VecView(u, PETSC_VIEWER_STDOUT_WORLD)); } } else if (user.runType == RUN_PERF) { Vec r; PetscReal res = 0.0; PetscCall(SNESGetFunction(snes, &r, NULL, NULL)); PetscCall(SNESComputeFunction(snes, u, r)); PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Initial Residual\n")); PetscCall(VecFilter(r, 1.0e-10)); PetscCall(VecNorm(r, NORM_2, &res)); PetscCall(PetscPrintf(PETSC_COMM_WORLD, "L_2 Residual: %g\n", (double)res)); } else { Vec r; PetscReal res = 0.0, tol = 1.0e-11; /* Check discretization error */ PetscCall(SNESGetFunction(snes, &r, NULL, NULL)); PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Initial guess\n")); if (!user.quiet) PetscCall(VecView(u, PETSC_VIEWER_STDOUT_WORLD)); PetscCall(DMComputeL2Diff(dm, 0.0, user.exactFuncs, NULL, u, &error)); if (error < tol) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "L_2 Error: < %2.1e\n", (double)tol)); else PetscCall(PetscPrintf(PETSC_COMM_WORLD, "L_2 Error: %g\n", (double)error)); /* Check residual */ PetscCall(SNESComputeFunction(snes, u, r)); PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Initial Residual\n")); PetscCall(VecFilter(r, 1.0e-10)); if (!user.quiet) PetscCall(VecView(r, PETSC_VIEWER_STDOUT_WORLD)); PetscCall(VecNorm(r, NORM_2, &res)); PetscCall(PetscPrintf(PETSC_COMM_WORLD, "L_2 Residual: %g\n", (double)res)); /* Check Jacobian */ { Vec b; PetscCall(SNESComputeJacobian(snes, u, A, A)); PetscCall(VecDuplicate(u, &b)); PetscCall(VecSet(r, 0.0)); PetscCall(SNESComputeFunction(snes, r, b)); PetscCall(MatMult(A, u, r)); PetscCall(VecAXPY(r, 1.0, b)); PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Au - b = Au + F(0)\n")); PetscCall(VecFilter(r, 1.0e-10)); if (!user.quiet) PetscCall(VecView(r, PETSC_VIEWER_STDOUT_WORLD)); PetscCall(VecNorm(r, NORM_2, &res)); PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Linear L_2 Residual: %g\n", (double)res)); /* check solver */ if (user.checkksp) { KSP ksp; if (nullSpace) PetscCall(MatNullSpaceRemove(nullSpace, u)); PetscCall(SNESComputeJacobian(snes, u, A, J)); PetscCall(MatMult(A, u, b)); PetscCall(SNESGetKSP(snes, &ksp)); PetscCall(KSPSetOperators(ksp, A, J)); PetscCall(KSPSolve(ksp, b, r)); PetscCall(VecAXPY(r, -1.0, u)); PetscCall(VecNorm(r, NORM_2, &res)); PetscCall(PetscPrintf(PETSC_COMM_WORLD, "KSP Error: %g\n", (double)res)); } PetscCall(VecDestroy(&b)); } } PetscCall(VecViewFromOptions(u, NULL, "-vec_view")); { Vec nu; PetscCall(DMGetAuxiliaryVec(dm, NULL, 0, 0, &nu)); if (nu) PetscCall(VecViewFromOptions(nu, NULL, "-coeff_view")); } if (user.bdIntegral) { DMLabel label; PetscBdPointFn *func[1] = {bd_integral_2d}; PetscInt id = 1; PetscScalar bdInt = 0.0; PetscReal exact = 3.3333333333; PetscCall(DMGetLabel(dm, "marker", &label)); PetscCall(DMPlexComputeBdIntegral(dm, u, label, 1, &id, func, &bdInt, NULL)); PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Solution boundary integral: %.4g\n", (double)PetscAbsScalar(bdInt))); PetscCheck(PetscAbsReal(PetscAbsScalar(bdInt) - exact) <= PETSC_SQRT_MACHINE_EPSILON, PETSC_COMM_WORLD, PETSC_ERR_PLIB, "Invalid boundary integral %g != %g", (double)PetscAbsScalar(bdInt), (double)exact); } PetscCall(MatNullSpaceDestroy(&nullSpace)); if (user.jacobianMF) PetscCall(VecDestroy(&userJ.u)); if (A != J) PetscCall(MatDestroy(&A)); PetscCall(MatDestroy(&J)); PetscCall(VecDestroy(&u)); PetscCall(SNESDestroy(&snes)); PetscCall(DMDestroy(&dm)); PetscCall(PetscFree2(user.exactFuncs, user.exactFields)); PetscCall(PetscFree(user.kgrid)); PetscCall(PetscFinalize()); return 0; } /*TEST # 2D serial P1 test 0-4 test: suffix: 2d_p1_0 requires: triangle args: -run_type test -bc_type dirichlet -dm_plex_interpolate 0 -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 test: suffix: 2d_p1_1 requires: triangle args: -run_type test -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -cdm_dm_plex_coordinate_dim {{2 3}} test: suffix: 2d_p1_1b requires: triangle args: -run_type test -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_refine 3 -dm_coord_space 0 \ -dm_plex_option_phases proj_ -cdm_proj_dm_plex_coordinate_dim 3 -proj_dm_coord_space \ -proj_dm_coord_remap -proj_dm_coord_map sinusoid -proj_dm_coord_map_params 0.1,1.,1. test: suffix: 2d_p1_2 requires: triangle args: -run_type test -dm_refine_volume_limit_pre 0.0625 -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 test: suffix: 2d_p1_neumann_0 requires: triangle args: -dm_coord_space 0 -run_type test -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_view ascii::ascii_info_detail test: suffix: 2d_p1_neumann_1 requires: triangle args: -run_type test -dm_refine_volume_limit_pre 0.0625 -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 # 2D serial P2 test 5-8 test: suffix: 2d_p2_0 requires: triangle args: -run_type test -bc_type dirichlet -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: 2d_p2_1 requires: triangle args: -run_type test -dm_refine_volume_limit_pre 0.0625 -bc_type dirichlet -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: 2d_p2_neumann_0 requires: triangle args: -dm_coord_space 0 -run_type test -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 -dm_view ascii::ascii_info_detail test: suffix: 2d_p2_neumann_1 requires: triangle args: -dm_coord_space 0 -run_type test -dm_refine_volume_limit_pre 0.0625 -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 -dm_view ascii::ascii_info_detail test: suffix: bd_int_0 requires: triangle args: -run_type test -bc_type dirichlet -petscspace_degree 2 -bd_integral -dm_view -quiet test: suffix: bd_int_1 requires: triangle args: -run_type test -dm_refine 2 -bc_type dirichlet -petscspace_degree 2 -bd_integral -dm_view -quiet # 3D serial P1 test 9-12 test: suffix: 3d_p1_0 requires: ctetgen args: -run_type test -dm_plex_dim 3 -bc_type dirichlet -dm_plex_interpolate 0 -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_view test: suffix: 3d_p1_1 requires: ctetgen args: -run_type test -dm_plex_dim 3 -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_view test: suffix: 3d_p1_2 requires: ctetgen args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_view test: suffix: 3d_p1_neumann_0 requires: ctetgen args: -run_type test -dm_plex_dim 3 -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 1 -snes_fd -show_initial -dm_plex_print_fem 1 -dm_view # Analytic variable coefficient 13-20 test: suffix: 13 requires: triangle args: -run_type test -variable_coefficient analytic -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 test: suffix: 14 requires: triangle args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient analytic -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 test: suffix: 15 requires: triangle args: -run_type test -variable_coefficient analytic -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: 16 requires: triangle args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient analytic -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: 17 requires: ctetgen args: -run_type test -dm_plex_dim 3 -variable_coefficient analytic -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 test: suffix: 18 requires: ctetgen args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient analytic -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 test: suffix: 19 requires: ctetgen args: -run_type test -dm_plex_dim 3 -variable_coefficient analytic -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: 20 requires: ctetgen args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient analytic -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 # P1 variable coefficient 21-28 test: suffix: 21 requires: triangle args: -run_type test -variable_coefficient field -petscspace_degree 1 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1 test: suffix: 22 requires: triangle args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient field -petscspace_degree 1 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1 test: suffix: 23 requires: triangle args: -run_type test -variable_coefficient field -petscspace_degree 2 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1 test: suffix: 24 requires: triangle args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient field -petscspace_degree 2 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1 test: suffix: 25 requires: ctetgen args: -run_type test -dm_plex_dim 3 -variable_coefficient field -petscspace_degree 1 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1 test: suffix: 26 requires: ctetgen args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient field -petscspace_degree 1 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1 test: suffix: 27 requires: ctetgen args: -run_type test -dm_plex_dim 3 -variable_coefficient field -petscspace_degree 2 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1 test: suffix: 28 requires: ctetgen args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient field -petscspace_degree 2 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1 # P0 variable coefficient 29-36 test: suffix: 29 requires: triangle args: -run_type test -variable_coefficient field -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 test: suffix: 30 requires: triangle args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient field -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 test: suffix: 31 requires: triangle args: -run_type test -variable_coefficient field -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: requires: triangle suffix: 32 args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient field -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: requires: ctetgen suffix: 33 args: -run_type test -dm_plex_dim 3 -variable_coefficient field -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 test: suffix: 34 requires: ctetgen args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient field -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 test: suffix: 35 requires: ctetgen args: -run_type test -dm_plex_dim 3 -variable_coefficient field -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: 36 requires: ctetgen args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient field -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 # Full solve 39-44 test: suffix: 39 requires: triangle !single args: -run_type full -dm_refine_volume_limit_pre 0.015625 -petscspace_degree 2 -pc_type gamg -pc_gamg_esteig_ksp_type cg -pc_gamg_esteig_ksp_max_it 10 -snes_rtol 1.0e-6 -ksp_rtol 1.0e-7 -ksp_monitor -ksp_converged_reason -snes_monitor_short -snes_converged_reason ::ascii_info_detail test: suffix: 40 requires: triangle !single args: -run_type full -dm_refine_volume_limit_pre 0.015625 -variable_coefficient nonlinear -petscspace_degree 2 -pc_type svd -ksp_rtol 1.0e-10 -snes_monitor_short -snes_converged_reason ::ascii_info_detail test: suffix: 41 requires: triangle !single args: -run_type full -dm_refine_volume_limit_pre 0.03125 -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 1 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short test: suffix: 42 requires: triangle !single args: -run_type full -dm_refine_volume_limit_pre 0.0625 -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 2 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short -fas_levels_2_snes_type newtonls -fas_levels_2_pc_type svd -fas_levels_2_ksp_rtol 1.0e-10 -fas_levels_2_snes_atol 1.0e-11 -fas_levels_2_snes_monitor_short test: suffix: 43 requires: triangle !single nsize: 2 args: -run_type full -dm_refine_volume_limit_pre 0.03125 -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 1 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short test: suffix: 44 requires: triangle !single nsize: 2 args: -run_type full -dm_refine_volume_limit_pre 0.0625 -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 2 -dm_plex_print_fem 0 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short -fas_levels_2_snes_type newtonls -fas_levels_2_pc_type svd -fas_levels_2_ksp_rtol 1.0e-10 -fas_levels_2_snes_atol 1.0e-11 -fas_levels_2_snes_monitor_short # These tests use a loose tolerance just to exercise the PtAP operations for MATIS and multiple PCBDDC setup calls inside PCMG testset: requires: triangle !single nsize: 3 args: -run_type full -petscspace_degree 1 -dm_mat_type is -pc_type mg -mg_coarse_pc_type bddc -pc_mg_galerkin pmat -ksp_rtol 1.0e-2 -snes_converged_reason -dm_refine_hierarchy 2 -snes_max_it 4 test: suffix: gmg_bddc filter: sed -e "s/CONVERGED_FNORM_RELATIVE iterations 3/CONVERGED_FNORM_RELATIVE iterations 4/g" args: -mg_levels_pc_type jacobi test: filter: sed -e "s/iterations [0-4]/iterations 4/g" suffix: gmg_bddc_lev args: -mg_levels_pc_type bddc # VTU viewer with empty processes test: requires: !complex suffix: vtu_empty args: -quiet -run_type test -dm_plex_simplex 0 -dm_plex_box_faces 2,2 -vec_view vtk:test.vtu:vtk_vtu -petscspace_degree 1 -petscpartitioner_type simple # Restarting testset: suffix: restart requires: hdf5 triangle !complex args: -run_type test -bc_type dirichlet -petscspace_degree 1 test: args: -dm_view hdf5:sol.h5 -vec_view hdf5:sol.h5::append test: args: -dm_plex_filename sol.h5 -dm_plex_name box -restart # Periodicity test: suffix: periodic_0 requires: triangle args: -run_type full -bc_type dirichlet -petscspace_degree 1 -snes_converged_reason ::ascii_info_detail test: requires: !complex suffix: periodic_1 args: -quiet -run_type test -dm_plex_simplex 0 -dm_plex_box_faces 3,3 -dm_plex_box_bd periodic,periodic -vec_view vtk:test.vtu:vtk_vtu -petscspace_degree 1 -dm_refine 1 # 2D serial P1 test with field bc test: suffix: field_bc_2d_p1_0 requires: triangle args: -run_type test -bc_type dirichlet -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: field_bc_2d_p1_1 requires: triangle args: -run_type test -dm_refine 1 -bc_type dirichlet -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: field_bc_2d_p1_neumann_0 requires: triangle args: -run_type test -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: field_bc_2d_p1_neumann_1 requires: triangle args: -run_type test -dm_refine 1 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 # 3D serial P1 test with field bc test: suffix: field_bc_3d_p1_0 requires: ctetgen args: -run_type test -dm_plex_dim 3 -bc_type dirichlet -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: field_bc_3d_p1_1 requires: ctetgen args: -run_type test -dm_plex_dim 3 -dm_refine 1 -bc_type dirichlet -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: field_bc_3d_p1_neumann_0 requires: ctetgen args: -run_type test -dm_plex_dim 3 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: field_bc_3d_p1_neumann_1 requires: ctetgen args: -run_type test -dm_plex_dim 3 -dm_refine 1 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 # 2D serial P2 test with field bc test: suffix: field_bc_2d_p2_0 requires: triangle args: -run_type test -bc_type dirichlet -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: field_bc_2d_p2_1 requires: triangle args: -run_type test -dm_refine 1 -bc_type dirichlet -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: field_bc_2d_p2_neumann_0 requires: triangle args: -run_type test -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: field_bc_2d_p2_neumann_1 requires: triangle args: -run_type test -dm_refine 1 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 # 3D serial P2 test with field bc test: suffix: field_bc_3d_p2_0 requires: ctetgen args: -run_type test -dm_plex_dim 3 -bc_type dirichlet -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: field_bc_3d_p2_1 requires: ctetgen args: -run_type test -dm_plex_dim 3 -dm_refine 1 -bc_type dirichlet -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: field_bc_3d_p2_neumann_0 requires: ctetgen args: -run_type test -dm_plex_dim 3 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 test: suffix: field_bc_3d_p2_neumann_1 requires: ctetgen args: -run_type test -dm_plex_dim 3 -dm_refine 1 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1 # Full solve simplex: Convergence test: suffix: 3d_p1_conv requires: ctetgen args: -run_type full -dm_plex_dim 3 -dm_refine 1 -bc_type dirichlet -petscspace_degree 1 \ -snes_convergence_estimate -convest_num_refine 1 -pc_type lu # Full solve simplex: PCBDDC test: suffix: tri_bddc requires: triangle !single nsize: 5 args: -run_type full -petscpartitioner_type simple -dm_refine 2 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -dm_mat_type is -pc_type bddc -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 # Full solve simplex: PCBDDC test: suffix: tri_parmetis_bddc requires: triangle !single parmetis nsize: 4 args: -run_type full -petscpartitioner_type parmetis -dm_refine 2 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -dm_mat_type is -pc_type bddc -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 testset: args: -run_type full -dm_plex_simplex 0 -dm_plex_box_faces 3,3 -petscpartitioner_type simple -dm_refine 2 -bc_type dirichlet -petscspace_degree 2 -dm_mat_type is -pc_type bddc -ksp_type gmres -snes_monitor_short -ksp_monitor_short -snes_view -petscspace_poly_tensor -pc_bddc_corner_selection -ksp_rtol 1.e-9 -pc_bddc_use_edges 0 nsize: 5 output_file: output/ex12_quad_bddc.out filter: sed -e "s/aijcusparse/aij/g" -e "s/aijviennacl/aij/g" -e "s/factorization: cusparse/factorization: petsc/g" test: requires: !single suffix: quad_bddc test: requires: !single cuda suffix: quad_bddc_cuda args: -mat_is_localmat_type aijcusparse -pc_bddc_dirichlet_pc_factor_mat_solver_type cusparse -pc_bddc_neumann_pc_factor_mat_solver_type cusparse test: requires: !single viennacl suffix: quad_bddc_viennacl args: -mat_is_localmat_type aijviennacl # Full solve simplex: ASM test: suffix: tri_q2q1_asm_lu requires: triangle !single args: -run_type full -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -pc_type asm -pc_asm_type restrict -pc_asm_blocks 4 -sub_pc_type lu -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 test: suffix: tri_q2q1_msm_lu requires: triangle !single args: -run_type full -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -pc_type asm -pc_asm_type restrict -pc_asm_local_type multiplicative -pc_asm_blocks 4 -sub_pc_type lu -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 test: suffix: tri_q2q1_asm_sor requires: triangle !single args: -run_type full -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -pc_type asm -pc_asm_type restrict -pc_asm_blocks 4 -sub_pc_type sor -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 test: suffix: tri_q2q1_msm_sor requires: triangle !single args: -run_type full -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -pc_type asm -pc_asm_type restrict -pc_asm_local_type multiplicative -pc_asm_blocks 4 -sub_pc_type sor -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 # Full solve simplex: FAS test: suffix: fas_newton_0 requires: triangle !single args: -run_type full -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 1 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short test: suffix: fas_newton_1 requires: triangle !single args: -run_type full -dm_refine_hierarchy 3 -petscspace_degree 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type lu -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_snes_linesearch_type basic -fas_levels_ksp_rtol 1.0e-10 -fas_levels_snes_monitor_short filter: sed -e "s/total number of linear solver iterations=14/total number of linear solver iterations=15/g" test: suffix: fas_ngs_0 requires: triangle !single args: -run_type full -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 1 -snes_view -fas_levels_1_snes_type ngs -fas_levels_1_snes_monitor_short # These two tests are broken because DMPlexComputeInjectorFEM() only works for regularly refined meshes test: suffix: fas_newton_coarse_0 requires: pragmatic triangle TODO: broken args: -run_type full -variable_coefficient nonlinear -petscspace_degree 1 \ -dm_refine 2 -dm_coarsen_hierarchy 1 -dm_plex_hash_location -dm_adaptor pragmatic \ -snes_type fas -snes_fas_levels 2 -snes_converged_reason ::ascii_info_detail -snes_monitor_short -snes_view \ -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -fas_coarse_snes_linesearch_type basic \ -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short test: suffix: mg_newton_coarse_0 requires: triangle pragmatic TODO: broken args: -run_type full -petscspace_degree 1 \ -dm_refine 3 -dm_coarsen_hierarchy 3 -dm_plex_hash_location -dm_adaptor pragmatic \ -snes_atol 1.0e-8 -snes_rtol 0.0 -snes_monitor_short -snes_converged_reason ::ascii_info_detail -snes_view \ -ksp_type richardson -ksp_atol 1.0e-8 -ksp_rtol 0.0 -ksp_norm_type unpreconditioned -ksp_monitor_true_residual \ -pc_type mg -pc_mg_levels 4 \ -mg_levels_ksp_type gmres -mg_levels_pc_type ilu -mg_levels_ksp_max_it 10 # Test cgns writer for ranks with no elements test: suffix: cgns nsize: 5 requires: cgns args: -quiet -run_type test -dm_plex_simplex 0 -petscspace_degree 1 -dm_plex_box_faces 2,2 -vec_view cgns:test.cgns -dm_refine 0 -petscpartitioner_type simple # Full solve tensor test: suffix: tensor_plex_2d args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_refine_hierarchy 2 test: suffix: tensor_p4est_2d requires: p4est args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_forest_initial_refinement 2 -dm_forest_minimum_refinement 0 -dm_plex_convert_type p4est test: suffix: tensor_plex_3d args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_plex_dim 3 -dm_refine_hierarchy 1 -dm_plex_box_faces 2,2,2 test: suffix: tensor_p4est_3d requires: p4est args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_forest_initial_refinement 1 -dm_forest_minimum_refinement 0 -dm_plex_dim 3 -dm_plex_convert_type p8est -dm_plex_box_faces 2,2,2 test: suffix: p4est_test_q2_conformal_serial requires: p4est args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 test: suffix: p4est_test_q2_conformal_parallel requires: p4est nsize: 7 args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -petscpartitioner_type simple test: suffix: p4est_test_q2_conformal_parallel_parmetis requires: parmetis p4est nsize: 4 args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -petscpartitioner_type parmetis test: suffix: p4est_test_q2_nonconformal_serial requires: p4est filter: grep -v "CG or CGNE: variant" args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash test: suffix: p4est_test_q2_nonconformal_parallel requires: p4est filter: grep -v "CG or CGNE: variant" nsize: 7 args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple test: suffix: p4est_test_q2_nonconformal_parallel_parmetis requires: parmetis p4est nsize: 4 args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type parmetis test: suffix: p4est_exact_q2_conformal_serial requires: p4est !single !complex !__float128 args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 test: suffix: p4est_exact_q2_conformal_parallel requires: p4est !single !complex !__float128 nsize: 4 args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 test: suffix: p4est_exact_q2_conformal_parallel_parmetis requires: parmetis p4est !single nsize: 4 args: -run_type exact -petscspace_degree 2 -fas_levels_snes_linesearch_type basic -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_snes_converged_reason -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -petscpartitioner_type parmetis test: suffix: p4est_exact_q2_nonconformal_serial requires: p4est args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash test: suffix: p4est_exact_q2_nonconformal_parallel requires: p4est nsize: 7 args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple test: suffix: p4est_exact_q2_nonconformal_parallel_parmetis requires: parmetis p4est nsize: 4 args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type parmetis test: suffix: p4est_full_q2_nonconformal_serial requires: p4est !single filter: grep -v "variant HERMITIAN" args: -run_type full -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type jacobi -fas_coarse_ksp_type cg -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type jacobi -fas_levels_ksp_type cg -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash test: suffix: p4est_full_q2_nonconformal_parallel requires: p4est !single filter: grep -v "variant HERMITIAN" nsize: 7 args: -run_type full -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type jacobi -fas_coarse_ksp_type cg -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type jacobi -fas_levels_ksp_type cg -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple test: suffix: p4est_full_q2_nonconformal_parallel_bddcfas requires: p4est !single filter: grep -v "variant HERMITIAN" nsize: 7 args: -run_type full -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -dm_mat_type is -fas_coarse_pc_type bddc -fas_coarse_ksp_type cg -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type bddc -fas_levels_ksp_type cg -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple test: suffix: p4est_full_q2_nonconformal_parallel_bddc requires: p4est !single filter: grep -v "variant HERMITIAN" nsize: 7 args: -run_type full -petscspace_degree 2 -snes_max_it 20 -snes_type newtonls -dm_mat_type is -pc_type bddc -ksp_type cg -snes_monitor_short -snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple test: TODO: broken suffix: p4est_fas_q2_conformal_serial requires: p4est !complex !__float128 args: -run_type full -variable_coefficient nonlinear -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -pc_type jacobi -ksp_type gmres -fas_coarse_pc_type svd -fas_coarse_ksp_type gmres -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type svd -fas_levels_ksp_type gmres -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_refine_hierarchy 3 test: TODO: broken suffix: p4est_fas_q2_nonconformal_serial requires: p4est args: -run_type full -variable_coefficient nonlinear -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -pc_type jacobi -ksp_type gmres -fas_coarse_pc_type jacobi -fas_coarse_ksp_type gmres -fas_coarse_ksp_monitor_true_residual -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type jacobi -fas_levels_ksp_type gmres -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash test: suffix: fas_newton_0_p4est requires: p4est !single !__float128 args: -run_type full -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash # Full solve simplicial AMR test: suffix: tri_p1_adapt_init_pragmatic requires: pragmatic args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_initial 1 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor pragmatic test: suffix: tri_p2_adapt_init_pragmatic requires: pragmatic args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_initial 1 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor pragmatic test: suffix: tri_p1_adapt_init_mmg requires: mmg args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_initial 1 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg test: suffix: tri_p2_adapt_init_mmg requires: mmg args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_initial 1 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg test: suffix: tri_p1_adapt_seq_pragmatic requires: pragmatic args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_sequence 2 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor pragmatic test: suffix: tri_p2_adapt_seq_pragmatic requires: pragmatic args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_sequence 2 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor pragmatic test: suffix: tri_p1_adapt_seq_mmg requires: mmg args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_sequence 2 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg test: suffix: tri_p2_adapt_seq_mmg requires: mmg args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_sequence 2 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg test: suffix: tri_p1_adapt_analytic_pragmatic requires: pragmatic args: -run_type exact -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient cross -snes_adapt_initial 4 -adaptor_target_num 500 -dm_plex_metric_h_min 0.0001 -dm_plex_metric_h_max 0.05 -dm_adaptor pragmatic output_file: output/empty.out test: suffix: tri_p2_adapt_analytic_pragmatic requires: pragmatic args: -run_type exact -dm_refine 3 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient cross -snes_adapt_initial 4 -adaptor_target_num 500 -dm_plex_metric_h_min 0.0001 -dm_plex_metric_h_max 0.05 -dm_adaptor pragmatic output_file: output/empty.out test: suffix: tri_p1_adapt_analytic_mmg requires: mmg args: -run_type exact -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient cross -snes_adapt_initial 4 -adaptor_target_num 500 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg output_file: output/empty.out test: suffix: tri_p2_adapt_analytic_mmg requires: mmg args: -run_type exact -dm_refine 3 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient cross -snes_adapt_initial 4 -adaptor_target_num 500 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg output_file: output/empty.out test: suffix: tri_p1_adapt_uniform_pragmatic requires: pragmatic tetgen nsize: 2 args: -run_type full -dm_plex_box_faces 8,8,8 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 3 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor pragmatic timeoutfactor: 2 test: suffix: tri_p2_adapt_uniform_pragmatic requires: pragmatic tetgen nsize: 2 args: -run_type full -dm_plex_box_faces 8,8,8 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 1 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor pragmatic timeoutfactor: 1 test: suffix: tri_p1_adapt_uniform_mmg requires: mmg tetgen args: -run_type full -dm_plex_box_faces 4,4,4 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 3 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor mmg timeoutfactor: 2 test: suffix: tri_p2_adapt_uniform_mmg requires: mmg tetgen TODO: broken args: -run_type full -dm_plex_box_faces 4,4,4 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 1 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor mmg timeoutfactor: 1 test: suffix: tri_p1_adapt_uniform_parmmg requires: parmmg tetgen nsize: 2 args: -run_type full -dm_plex_box_faces 8,8,8 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 3 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor parmmg timeoutfactor: 2 test: suffix: tri_p2_adapt_uniform_parmmg requires: parmmg tetgen nsize: 2 args: -run_type full -dm_plex_box_faces 8,8,8 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 1 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor parmmg timeoutfactor: 1 # Full solve tensor AMR test: suffix: quad_q1_adapt_0 requires: p4est args: -run_type exact -dm_plex_simplex 0 -dm_plex_convert_type p4est -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -dm_forest_initial_refinement 4 -snes_adapt_initial 1 -dm_view filter: grep -v DM_ test: suffix: amr_0 nsize: 5 args: -run_type test -petscpartitioner_type simple -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_refine 1 test: suffix: amr_1 requires: p4est !complex args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_plex_convert_type p4est -dm_p4est_refine_pattern center -dm_forest_maximum_refinement 5 -dm_view vtk:amr.vtu:vtk_vtu -vec_view vtk:amr.vtu:vtk_vtu:append test: suffix: p4est_solve_bddc requires: p4est !complex args: -run_type full -variable_coefficient nonlinear -nonzero_initial_guess 1 -petscspace_degree 2 -snes_max_it 20 -snes_type newtonls -dm_mat_type is -pc_type bddc -ksp_type cg -snes_monitor_short -ksp_monitor -snes_linesearch_type bt -snes_converged_reason -snes_view -dm_plex_simplex 0 -petscspace_poly_tensor -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple -pc_bddc_detect_disconnected nsize: 4 test: suffix: p4est_solve_fas requires: p4est args: -run_type full -variable_coefficient nonlinear -nonzero_initial_guess 1 -petscspace_degree 2 -snes_max_it 10 -snes_type fas -snes_linesearch_type bt -snes_fas_levels 3 -fas_coarse_snes_type newtonls -fas_coarse_snes_linesearch_type basic -fas_coarse_ksp_type cg -fas_coarse_pc_type jacobi -fas_coarse_snes_monitor_short -fas_levels_snes_max_it 4 -fas_levels_snes_type newtonls -fas_levels_snes_linesearch_type bt -fas_levels_ksp_type cg -fas_levels_pc_type jacobi -fas_levels_snes_monitor_short -fas_levels_cycle_snes_linesearch_type bt -snes_monitor_short -snes_converged_reason -snes_view -dm_plex_simplex 0 -petscspace_poly_tensor -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash nsize: 4 TODO: identical machine two runs produce slightly different solver trackers test: suffix: p4est_convergence_test_1 requires: p4est args: -quiet -run_type test -petscspace_degree 1 -dm_plex_simplex 0 -petscspace_poly_tensor -dm_plex_convert_type p4est -dm_forest_minimum_refinement 2 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash nsize: 4 # Serial tests with GLVis visualization test: suffix: glvis_2d_tet_p1 args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 1 -vec_view glvis: -dm_plex_filename ${wPETSC_DIR}/share/petsc/datafiles/meshes/square_periodic.msh -dm_plex_boundary_label marker -dm_plex_gmsh_periodic 0 -dm_coord_space 0 test: suffix: glvis_2d_tet_p2 args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 2 -vec_view glvis: -dm_plex_filename ${wPETSC_DIR}/share/petsc/datafiles/meshes/square_periodic.msh -dm_plex_boundary_label marker -dm_plex_gmsh_periodic 0 -dm_coord_space 0 test: suffix: glvis_2d_hex_p1 args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 1 -vec_view glvis: -dm_plex_simplex 0 -dm_refine 1 -dm_coord_space 0 test: suffix: glvis_2d_hex_p2 args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 2 -vec_view glvis: -dm_plex_simplex 0 -dm_refine 1 -dm_coord_space 0 test: suffix: glvis_2d_hex_p2_p4est requires: p4est args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 2 -vec_view glvis: -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 1 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -viewer_glvis_dm_plex_enable_ncmesh test: suffix: glvis_2d_tet_p0 args: -run_type exact -guess_vec_view glvis: -nonzero_initial_guess 1 -dm_plex_filename ${wPETSC_DIR}/share/petsc/datafiles/meshes/square_periodic.msh -dm_plex_boundary_label marker -petscspace_degree 0 -dm_coord_space 0 -pc_type jacobi test: suffix: glvis_2d_hex_p0 args: -run_type exact -guess_vec_view glvis: -nonzero_initial_guess 1 -dm_plex_box_faces 5,7 -dm_plex_simplex 0 -petscspace_degree 0 -dm_coord_space 0 -pc_type jacobi # PCHPDDM tests testset: nsize: 4 requires: hpddm slepc !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES) args: -run_type test -run_test_check_ksp -quiet -petscspace_degree 1 -petscpartitioner_type simple -bc_type none -dm_plex_simplex 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_nev 2 -pc_hpddm_coarse_p 1 -pc_hpddm_coarse_pc_type svd -ksp_rtol 1.e-10 -pc_hpddm_levels_1_st_pc_factor_shift_type INBLOCKS -ksp_converged_reason test: suffix: quad_singular_hpddm args: -dm_plex_box_faces 6,7 test: requires: p4est suffix: p4est_singular_2d_hpddm args: -dm_plex_convert_type p4est -dm_forest_minimum_refinement 1 -dm_forest_initial_refinement 3 -dm_forest_maximum_refinement 3 test: requires: p4est suffix: p4est_nc_singular_2d_hpddm args: -dm_plex_convert_type p4est -dm_forest_minimum_refinement 1 -dm_forest_initial_refinement 1 -dm_forest_maximum_refinement 3 -dm_p4est_refine_pattern hash testset: nsize: 4 requires: hpddm slepc triangle !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES) args: -run_type full -petscpartitioner_type simple -dm_refine 2 -bc_type dirichlet -petscspace_degree 2 -ksp_type gmres -ksp_gmres_restart 100 -pc_type hpddm -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_nev 4 -pc_hpddm_coarse_p 2 -pc_hpddm_coarse_pc_type redundant -ksp_rtol 1.e-1 test: args: -pc_hpddm_coarse_mat_type baij -options_left no suffix: tri_hpddm_reuse_baij test: requires: !complex suffix: tri_hpddm_reuse testset: nsize: 4 requires: hpddm slepc !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES) args: -run_type full -petscpartitioner_type simple -dm_plex_box_faces 7,5 -dm_refine 2 -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 2 -ksp_type gmres -ksp_gmres_restart 100 -pc_type hpddm -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_nev 4 -pc_hpddm_coarse_p 2 -pc_hpddm_coarse_pc_type redundant -ksp_rtol 1.e-1 test: args: -pc_hpddm_coarse_mat_type baij -options_left no suffix: quad_hpddm_reuse_baij test: requires: !complex suffix: quad_hpddm_reuse testset: nsize: 4 requires: hpddm slepc !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES) args: -run_type full -petscpartitioner_type simple -dm_plex_box_faces 7,5 -dm_refine 2 -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -pc_type hpddm -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_threshold_absolute 0.1 -pc_hpddm_coarse_p 2 -pc_hpddm_coarse_pc_type redundant -ksp_rtol 1.e-1 test: args: -pc_hpddm_coarse_mat_type baij -options_left no suffix: quad_hpddm_reuse_threshold_baij test: requires: !complex suffix: quad_hpddm_reuse_threshold testset: nsize: 4 requires: hpddm slepc parmetis !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES) filter: sed -e "s/linear solver iterations=17/linear solver iterations=16/g" args: -run_type full -petscpartitioner_type parmetis -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -pc_type hpddm -snes_monitor_short -snes_converged_reason ::ascii_info_detail -snes_view -show_solution 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type icc -pc_hpddm_levels_1_eps_nev 20 -pc_hpddm_coarse_p 2 -pc_hpddm_coarse_pc_type redundant -ksp_rtol 1.e-10 -dm_plex_filename ${PETSC_DIR}/share/petsc/datafiles/meshes/square_periodic.msh -dm_plex_boundary_label marker -pc_hpddm_levels_1_sub_pc_factor_levels 3 -variable_coefficient ball -dm_plex_gmsh_periodic 0 -fp_trap 0 test: args: -pc_hpddm_coarse_mat_type baij -options_left no filter: grep -v " total: nonzeros=" | grep -v " rows=" | sed -e "s/total number of linear solver iterations=[1-2][4-7]/total number of linear solver iterations=16/g" suffix: tri_parmetis_hpddm_baij test: filter: grep -v " total: nonzeros=" | grep -v " rows=" | sed -e "s/total number of linear solver iterations=[1-2][4-7]/total number of linear solver iterations=16/g" requires: !complex suffix: tri_parmetis_hpddm # 2D serial P1 tests for adaptive MG test: suffix: 2d_p1_adaptmg_0 requires: triangle args: -petscpartitioner_type simple -dm_refine_hierarchy 3 -dm_plex_box_faces 4,4 -bc_type dirichlet -petscspace_degree 1 \ -variable_coefficient checkerboard_0 -mat_petscspace_degree 0 -div 16 -k 3 \ -snes_max_it 1 -ksp_converged_reason \ -ksp_rtol 1e-8 -pc_type mg test: suffix: 2d_p1_adaptmg_1 requires: triangle bamg args: -petscpartitioner_type simple -dm_refine_hierarchy 3 -dm_plex_box_faces 4,4 -bc_type dirichlet -petscspace_degree 1 \ -variable_coefficient checkerboard_0 -mat_petscspace_degree 0 -div 16 -k 3 \ -snes_max_it 1 -ksp_converged_reason \ -ksp_rtol 1e-8 -pc_type mg -pc_mg_galerkin -pc_mg_adapt_interp_coarse_space eigenvector -pc_mg_adapt_interp_n 1 \ -pc_mg_mesp_ksp_type richardson -pc_mg_mesp_ksp_richardson_self_scale -pc_mg_mesp_ksp_max_it 100 -pc_mg_mesp_pc_type none test: suffix: 2d_p1_adaptmg_gdsw requires: triangle nsize: 4 args: -petscpartitioner_type simple -dm_refine 3 -dm_plex_box_faces 4,4 -bc_type dirichlet -petscspace_degree 1 \ -variable_coefficient checkerboard_0 -mat_petscspace_degree 0 -div 16 -k 3 \ -snes_max_it 1 -ksp_converged_reason \ -ksp_rtol 1e-8 -pc_type mg -pc_mg_galerkin -pc_mg_adapt_interp_coarse_space gdsw -pc_mg_levels 2 -mg_levels_pc_type asm -dm_mat_type {{aij is}} test: suffix: 2d_p1_adaptmg_agdsw requires: triangle mumps nsize: 4 args: -petscpartitioner_type simple -dm_refine 3 -dm_plex_box_faces 4,4 -bc_type dirichlet -petscspace_degree 1 \ -variable_coefficient checkerboard_0 -mat_petscspace_degree 0 -div 16 -k 3 \ -snes_max_it 1 -ksp_converged_reason \ -ksp_rtol 1e-8 -pc_type mg -pc_mg_galerkin -pc_mg_adapt_interp_coarse_space gdsw -pc_mg_levels 2 -mg_levels_pc_type asm -dm_mat_type is -mg_levels_gdsw_tolerance 0.1 -mg_levels_gdsw_pseudo_pc_type qr test: suffix: p4est_2d_asm requires: p4est nsize: 4 args: -run_type test -run_test_check_ksp -quiet -petscspace_degree 1 -petscpartitioner_type simple -bc_type none -dm_plex_simplex 0 \ -pc_type asm -ksp_converged_reason -dm_plex_convert_type p4est -dm_forest_minimum_refinement 1 -dm_forest_initial_refinement 3 -dm_forest_maximum_refinement 5 \ -pc_asm_dm_subdomains -dm_p4est_refine_pattern hash -dm_plex_dd_overlap 1 -sub_pc_type lu TEST*/