예제 #1
0
    def op_template(self, w=None):
        from hedge.tools import count_subset
        fld_cnt = count_subset(self.get_eh_subset())
        if w is None:
            from hedge.optemplate import make_sym_vector
            w = make_sym_vector("w", fld_cnt + 2 * self.dimensions)

        from hedge.tools import join_fields
        return join_fields(MaxwellOperator.op_template(self, w[:fld_cnt]),
                           numpy.zeros((2 * self.dimensions, ),
                                       dtype=object)) + self.pml_local_op(w)
예제 #2
0
파일: pml.py 프로젝트: felipeh/hedge
    def op_template(self, w=None):
        from hedge.tools import count_subset
        fld_cnt = count_subset(self.get_eh_subset())
        if w is None:
            from hedge.optemplate import make_vector_field
            w = make_vector_field("w", fld_cnt+2*self.dimensions)

        from hedge.tools import join_fields
        return join_fields(
                MaxwellOperator.op_template(self, w[:fld_cnt]),
                numpy.zeros((2*self.dimensions,), dtype=object)
                ) + self.pml_local_op(w)
예제 #3
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def main(write_output=True, allow_features=None, flux_type_arg=1, bdry_flux_type_arg=None, extra_discr_args={}):
    from hedge.mesh.generator import make_cylinder_mesh, make_box_mesh
    from hedge.tools import EOCRecorder, to_obj_array
    from math import sqrt, pi
    from analytic_solutions import (
        check_time_harmonic_solution,
        RealPartAdapter,
        SplitComplexAdapter,
        CylindricalFieldAdapter,
        CylindricalCavityMode,
        RectangularWaveguideMode,
        RectangularCavityMode,
    )
    from hedge.models.em import MaxwellOperator

    from hedge.backends import guess_run_context

    rcon = guess_run_context(allow_features)

    epsilon0 = 8.8541878176e-12  # C**2 / (N m**2)
    mu0 = 4 * pi * 1e-7  # N/A**2.
    epsilon = 1 * epsilon0
    mu = 1 * mu0

    eoc_rec = EOCRecorder()

    cylindrical = False
    periodic = False

    if cylindrical:
        R = 1
        d = 2
        mode = CylindricalCavityMode(m=1, n=1, p=1, radius=R, height=d, epsilon=epsilon, mu=mu)
        r_sol = CylindricalFieldAdapter(RealPartAdapter(mode))
        c_sol = SplitComplexAdapter(CylindricalFieldAdapter(mode))

        if rcon.is_head_rank:
            mesh = make_cylinder_mesh(radius=R, height=d, max_volume=0.01)
    else:
        if periodic:
            mode = RectangularWaveguideMode(epsilon, mu, (3, 2, 1))
            periodicity = (False, False, True)
        else:
            periodicity = None
        mode = RectangularCavityMode(epsilon, mu, (1, 2, 2))

        if rcon.is_head_rank:
            mesh = make_box_mesh(max_volume=0.001, periodicity=periodicity)

    if rcon.is_head_rank:
        mesh_data = rcon.distribute_mesh(mesh)
    else:
        mesh_data = rcon.receive_mesh()

    for order in [4, 5, 6]:
        # for order in [1,2,3,4,5,6]:
        extra_discr_args.setdefault("debug", []).extend(["cuda_no_plan", "cuda_dump_kernels"])

        op = MaxwellOperator(epsilon, mu, flux_type=flux_type_arg, bdry_flux_type=bdry_flux_type_arg)

        discr = rcon.make_discretization(mesh_data, order=order, tune_for=op.op_template(), **extra_discr_args)

        from hedge.visualization import VtkVisualizer

        if write_output:
            vis = VtkVisualizer(discr, rcon, "em-%d" % order)

        mode.set_time(0)

        def get_true_field():
            return discr.convert_volume(
                to_obj_array(mode(discr).real.astype(discr.default_scalar_type).copy()), kind=discr.compute_kind
            )

        fields = get_true_field()

        if rcon.is_head_rank:
            print "---------------------------------------------"
            print "order %d" % order
            print "---------------------------------------------"
            print "#elements=", len(mesh.elements)

        from hedge.timestep.runge_kutta import LSRK4TimeStepper

        stepper = LSRK4TimeStepper(dtype=discr.default_scalar_type, rcon=rcon)
        # from hedge.timestep.dumka3 import Dumka3TimeStepper
        # stepper = Dumka3TimeStepper(3, dtype=discr.default_scalar_type, rcon=rcon)

        # diagnostics setup ---------------------------------------------------
        from pytools.log import LogManager, add_general_quantities, add_simulation_quantities, add_run_info

        if write_output:
            log_file_name = "maxwell-%d.dat" % order
        else:
            log_file_name = None

        logmgr = LogManager(log_file_name, "w", rcon.communicator)

        add_run_info(logmgr)
        add_general_quantities(logmgr)
        add_simulation_quantities(logmgr)
        discr.add_instrumentation(logmgr)
        stepper.add_instrumentation(logmgr)

        from pytools.log import IntervalTimer

        vis_timer = IntervalTimer("t_vis", "Time spent visualizing")
        logmgr.add_quantity(vis_timer)

        from hedge.log import EMFieldGetter, add_em_quantities

        field_getter = EMFieldGetter(discr, op, lambda: fields)
        add_em_quantities(logmgr, op, field_getter)

        logmgr.add_watches(["step.max", "t_sim.max", ("W_field", "W_el+W_mag"), "t_step.max"])

        # timestep loop -------------------------------------------------------
        rhs = op.bind(discr)
        final_time = 0.5e-9

        try:
            from hedge.timestep import times_and_steps

            step_it = times_and_steps(
                final_time=final_time,
                logmgr=logmgr,
                max_dt_getter=lambda t: op.estimate_timestep(discr, stepper=stepper, t=t, fields=fields),
            )

            for step, t, dt in step_it:
                if step % 50 == 0 and write_output:
                    sub_timer = vis_timer.start_sub_timer()
                    e, h = op.split_eh(fields)
                    visf = vis.make_file("em-%d-%04d" % (order, step))
                    vis.add_data(
                        visf,
                        [("e", discr.convert_volume(e, kind="numpy")), ("h", discr.convert_volume(h, kind="numpy"))],
                        time=t,
                        step=step,
                    )
                    visf.close()
                    sub_timer.stop().submit()

                fields = stepper(fields, t, dt, rhs)

            mode.set_time(final_time)

            eoc_rec.add_data_point(order, discr.norm(fields - get_true_field()))

        finally:
            if write_output:
                vis.close()

            logmgr.close()
            discr.close()

        if rcon.is_head_rank:
            print
            print eoc_rec.pretty_print("P.Deg.", "L2 Error")

    assert eoc_rec.estimate_order_of_convergence()[0, 1] > 6
예제 #4
0
def main(write_output=True,
         allow_features=None,
         flux_type_arg=1,
         bdry_flux_type_arg=None,
         extra_discr_args={}):
    from hedge.mesh.generator import make_cylinder_mesh, make_box_mesh
    from hedge.tools import EOCRecorder, to_obj_array
    from math import sqrt, pi  # noqa
    from analytic_solutions import (  # noqa
        RealPartAdapter, SplitComplexAdapter, CylindricalFieldAdapter,
        CylindricalCavityMode, RectangularWaveguideMode, RectangularCavityMode)
    from hedge.models.em import MaxwellOperator

    logging.basicConfig(level=logging.DEBUG)

    from hedge.backends import guess_run_context
    rcon = guess_run_context(allow_features)

    epsilon0 = 8.8541878176e-12  # C**2 / (N m**2)
    mu0 = 4 * pi * 1e-7  # N/A**2.
    epsilon = 1 * epsilon0
    mu = 1 * mu0

    eoc_rec = EOCRecorder()

    cylindrical = False
    periodic = False

    if cylindrical:
        R = 1
        d = 2
        mode = CylindricalCavityMode(m=1,
                                     n=1,
                                     p=1,
                                     radius=R,
                                     height=d,
                                     epsilon=epsilon,
                                     mu=mu)
        # r_sol = CylindricalFieldAdapter(RealPartAdapter(mode))
        # c_sol = SplitComplexAdapter(CylindricalFieldAdapter(mode))

        if rcon.is_head_rank:
            mesh = make_cylinder_mesh(radius=R, height=d, max_volume=0.01)
    else:
        if periodic:
            mode = RectangularWaveguideMode(epsilon, mu, (3, 2, 1))
            periodicity = (False, False, True)
        else:
            periodicity = None
        mode = RectangularCavityMode(epsilon, mu, (1, 2, 2))

        if rcon.is_head_rank:
            mesh = make_box_mesh(max_volume=0.001, periodicity=periodicity)

    if rcon.is_head_rank:
        mesh_data = rcon.distribute_mesh(mesh)
    else:
        mesh_data = rcon.receive_mesh()

    for order in [4, 5, 6]:
        #for order in [1,2,3,4,5,6]:
        extra_discr_args.setdefault("debug", []).extend(
            ["cuda_no_plan", "cuda_dump_kernels"])

        op = MaxwellOperator(epsilon,
                             mu,
                             flux_type=flux_type_arg,
                             bdry_flux_type=bdry_flux_type_arg)

        discr = rcon.make_discretization(mesh_data,
                                         order=order,
                                         tune_for=op.op_template(),
                                         **extra_discr_args)

        from hedge.visualization import VtkVisualizer
        if write_output:
            vis = VtkVisualizer(discr, rcon, "em-%d" % order)

        mode.set_time(0)

        def get_true_field():
            return discr.convert_volume(to_obj_array(
                mode(discr).real.astype(discr.default_scalar_type).copy()),
                                        kind=discr.compute_kind)

        fields = get_true_field()

        if rcon.is_head_rank:
            print "---------------------------------------------"
            print "order %d" % order
            print "---------------------------------------------"
            print "#elements=", len(mesh.elements)

        from hedge.timestep.runge_kutta import LSRK4TimeStepper
        stepper = LSRK4TimeStepper(dtype=discr.default_scalar_type, rcon=rcon)
        #from hedge.timestep.dumka3 import Dumka3TimeStepper
        #stepper = Dumka3TimeStepper(3, dtype=discr.default_scalar_type, rcon=rcon)

        # {{{ diagnostics setup

        from pytools.log import LogManager, add_general_quantities, \
                add_simulation_quantities, add_run_info

        if write_output:
            log_file_name = "maxwell-%d.dat" % order
        else:
            log_file_name = None

        logmgr = LogManager(log_file_name, "w", rcon.communicator)

        add_run_info(logmgr)
        add_general_quantities(logmgr)
        add_simulation_quantities(logmgr)
        discr.add_instrumentation(logmgr)
        stepper.add_instrumentation(logmgr)

        from pytools.log import IntervalTimer
        vis_timer = IntervalTimer("t_vis", "Time spent visualizing")
        logmgr.add_quantity(vis_timer)

        from hedge.log import EMFieldGetter, add_em_quantities
        field_getter = EMFieldGetter(discr, op, lambda: fields)
        add_em_quantities(logmgr, op, field_getter)

        logmgr.add_watches(
            ["step.max", "t_sim.max", ("W_field", "W_el+W_mag"), "t_step.max"])

        # }}}

        # {{{ timestep loop

        rhs = op.bind(discr)
        final_time = 0.5e-9

        try:
            from hedge.timestep import times_and_steps
            step_it = times_and_steps(
                final_time=final_time,
                logmgr=logmgr,
                max_dt_getter=lambda t: op.estimate_timestep(
                    discr, stepper=stepper, t=t, fields=fields))

            for step, t, dt in step_it:
                if step % 50 == 0 and write_output:
                    sub_timer = vis_timer.start_sub_timer()
                    e, h = op.split_eh(fields)
                    visf = vis.make_file("em-%d-%04d" % (order, step))
                    vis.add_data(visf, [
                        ("e", discr.convert_volume(e, kind="numpy")),
                        ("h", discr.convert_volume(h, kind="numpy")),
                    ],
                                 time=t,
                                 step=step)
                    visf.close()
                    sub_timer.stop().submit()

                fields = stepper(fields, t, dt, rhs)

            mode.set_time(final_time)

            eoc_rec.add_data_point(order,
                                   discr.norm(fields - get_true_field()))

        finally:
            if write_output:
                vis.close()

            logmgr.close()
            discr.close()

        if rcon.is_head_rank:
            print
            print eoc_rec.pretty_print("P.Deg.", "L2 Error")

        # }}}

    assert eoc_rec.estimate_order_of_convergence()[0, 1] > 6