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GlobalAdaptiveTimeStep.py
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1# This file is part of the ExaHyPE2 project. For conditions of distribution and
2# use, please see the copyright notice at www.peano-framework.org
3from exahype2.solvers.PDETerms import PDETerms
4from exahype2.solvers.rkfd.SeparateSweeps import SeparateSweeps
5
6import jinja2
7
8from .kernels import create_compute_kernel_for_FD4_DSL
9from .kernels import create_FD4_kernel_definitions_3d
10from exahype2.solvers.rkfd.kernels import create_abstract_solver_declarations
11from exahype2.solvers.rkfd.kernels import create_abstract_solver_definitions
12from exahype2.solvers.rkfd.kernels import create_solver_declarations
13from exahype2.solvers.rkfd.kernels import create_solver_definitions
14#
15from exahype2.solvers.rkfd.kernels import SolverVariant
16from exahype2.solvers.rkfd.kernels import KernelVariant
17
18from exahype2.solvers.rkfd.AdaptiveTimeSteppingCodeSnippets import AdaptiveTimeSteppingCodeSnippets
19
20
22 def __init__(self,
23 name, patch_size, rk_order, unknowns, auxiliary_variables, min_meshcell_h, max_meshcell_h, time_step_relaxation,
24 reconstruction_with_rk=False,
25 flux=PDETerms.User_Defined_Implementation,
26 ncp=PDETerms.None_Implementation,
27 point_source=PDETerms.None_Implementation,
28 boundary_conditions=PDETerms.User_Defined_Implementation,
29 refinement_criterion=PDETerms.Empty_Implementation,
30 initial_conditions=PDETerms.User_Defined_Implementation,
31 source_term=PDETerms.None_Implementation,
32 eigenvalues=PDETerms.User_Defined_Implementation,
33 plot_grid_properties=False, KOSigma=8.0
34 ):
35 """!
36
37 Construct solver
38
39 time_step_relaxation: Float
40 Calibration factor of CFL condition. The Runge-Kutta order is multiplied
41 with this value following the formula for Cockburn-Shu damping. However,
42 also the actual polynomial order has to enter the chosen time step size
43 through an additional @f$ p^{-2} @f$ scaling. We expect the user to
44 incorporate such an additional scaling within time_step_relaxation.
45
46 """
47
48 if reconstruction_with_rk:
50 else:
52
53 super(GlobalAdaptiveTimeStep,self).__init__(name,
54 patch_size,
55 3, #overlap,
56 rk_order,
57 unknowns,
58 auxiliary_variables,
59 min_meshcell_h,
60 max_meshcell_h,
61 plot_grid_properties,
62 kernel_namespace="fd4"
63 )
64
65 self._time_step_relaxation = time_step_relaxation
67
68 self._KO_Sigma = KOSigma
69
71 ncp=ncp,
72 eigenvalues=eigenvalues,
73 boundary_conditions=boundary_conditions,
74 refinement_criterion=refinement_criterion,
75 initial_conditions=initial_conditions,
76 source_term=source_term,
77 reconstruction_with_rk=reconstruction_with_rk )
78
79
81 flux=None, ncp=None, source_term=None, eigenvalues=None,
82 boundary_conditions=None,refinement_criterion=None,initial_conditions=None,
83 memory_location = None,
84 additional_action_set_includes = "",
85 additional_user_includes = "",
86 KOSigma = None,
87 reconstruction_with_rk= False
88 ):
89 """
90 If you pass in User_Defined, then the generator will create C++ stubs
91 that you have to befill manually. If you pass in None_Implementation, it
92 will create nop, i.e. no implementation or defaults. Any other string
93 is copied 1:1 into the implementation. If you pass in None, then the
94 set value so far won't be overwritten.
95
96 Please note that not all options are supported by all solvers.
97
98 This routine should be the very last invoked by the constructor.
99 """
100 super(GlobalAdaptiveTimeStep,self).set_implementation(
101 flux, ncp, source_term, eigenvalues,
102 boundary_conditions, refinement_criterion, initial_conditions, memory_location, additional_action_set_includes, additional_user_includes)
103
104 if not KOSigma==None: self._KO_Sigma = KOSigma
105
106 create_FD4_kernel_definitions_3d()
107
108 self._compute_kernel_call_compute_kernel_call = create_compute_kernel_for_FD4_DSL(
112 compute_max_eigenvalue_of_next_time_step = True,
113 solver_variant = SolverVariant.WithVirtualFunctions,
114 kernel_variant = KernelVariant.PatchWiseAoSHeap,
115 KOSigma = self._KO_Sigma
116 )
117
118 if reconstruction_with_rk:
119 self._reconstruction_kernel_call_reconstruction_kernel_call = """reconstruct_first_derivatives(
120 patchData,
121 {{NUMBER_OF_GRID_CELLS_PER_PATCH_PER_AXIS}},
122 {{HALO_SIZE}},
123 {{NUMBER_OF_UNKNOWNS}},
124 {{NUMBER_OF_AUXILIARY_VARIABLES}}
125 );
126 """
127 self._primary_variables_indices_primary_variables_indices = "int primaryVarsIndices[25]={ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 53, 54};"
128 self._auxiliary_variables_indices_auxiliary_variables_indices = "int auxiliaryVarsIndices[34]={23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,55,56,57,58}; "
129
130 solver_code_snippets = AdaptiveTimeSteppingCodeSnippets(self._time_step_relaxation, adaptive_starting_timeStep_size="soft")
131
133 self._abstract_solver_user_declarations_abstract_solver_user_declarations += solver_code_snippets.create_abstract_solver_user_declarations()
135 self._abstract_solver_user_definitions_abstract_solver_user_definitions += solver_code_snippets.create_abstract_solver_user_definitions()
136
137 self._compute_time_step_size_compute_time_step_size = solver_code_snippets.create_compute_time_step_size()
138 self._compute_new_time_step_size_compute_new_time_step_size = solver_code_snippets.create_compute_new_time_step_size()
139
142
143 self._start_time_step_implementation_start_time_step_implementation = solver_code_snippets.create_start_time_step_implementation()
144 self._finish_time_step_implementation_finish_time_step_implementation = solver_code_snippets.create_finish_time_step_implementation()
145 self._constructor_implementation_constructor_implementation = solver_code_snippets.create_abstract_solver_constructor_statements()
146
148
149
150 @property
152 return super(GlobalAdaptiveTimeStep, self).user_action_set_includes + """
153#include "kernels/FD4.h"
154"""
155
156
Code snippet generator for fixed time stepping in the Runge-Kutta schemes.
Probably the simplest solver you could think off.
set_implementation(self, flux, ncp, source_term, eigenvalues, boundary_conditions, refinement_criterion, initial_conditions, memory_location, additional_action_set_includes, additional_user_includes)
If you pass in User_Defined, then the generator will create C++ stubs that you have to befill manuall...
create_action_sets(self)
Call superclass routine and then reconfigure the update cell call.
__init__(self, name, patch_size, rk_order, unknowns, auxiliary_variables, min_meshcell_h, max_meshcell_h, time_step_relaxation, reconstruction_with_rk=False, flux=PDETerms.User_Defined_Implementation, ncp=PDETerms.None_Implementation, point_source=PDETerms.None_Implementation, boundary_conditions=PDETerms.User_Defined_Implementation, refinement_criterion=PDETerms.Empty_Implementation, initial_conditions=PDETerms.User_Defined_Implementation, source_term=PDETerms.None_Implementation, eigenvalues=PDETerms.User_Defined_Implementation, plot_grid_properties=False, KOSigma=8.0)
Construct solver.
set_implementation(self, flux=None, ncp=None, source_term=None, eigenvalues=None, boundary_conditions=None, refinement_criterion=None, initial_conditions=None, memory_location=None, additional_action_set_includes="", additional_user_includes="", KOSigma=None, reconstruction_with_rk=False)
If you pass in User_Defined, then the generator will create C++ stubs that you have to befill manuall...
add_entries_to_text_replacement_dictionary(self, d)
d: Dictionary of string to string in/out argument
user_action_set_includes(self)
Add further includes to this property, if your action sets require some additional routines from othe...