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Refactor precision tests and passed all
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huiyuxie committed Aug 22, 2024
1 parent cf80857 commit 5e32e34
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63 changes: 63 additions & 0 deletions examples/hypdiff_nonperiodic_1d.jl
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using Trixi, TrixiGPU
using OrdinaryDiffEq

# The example is taken from the Trixi.jl

###############################################################################
# semidiscretization of the hyperbolic diffusion equations

equations = HyperbolicDiffusionEquations1D()

initial_condition = initial_condition_poisson_nonperiodic

boundary_conditions = boundary_condition_poisson_nonperiodic

solver = DGSEM(polydeg = 4, surface_flux = flux_lax_friedrichs)

coordinates_min = 0.0
coordinates_max = 1.0
mesh = TreeMesh(coordinates_min, coordinates_max,
initial_refinement_level = 3,
n_cells_max = 30_000,
periodicity = false)

semi = SemidiscretizationHyperbolic(mesh, equations, initial_condition, solver,
boundary_conditions = boundary_conditions,
source_terms = source_terms_poisson_nonperiodic)

###############################################################################
# ODE solvers, callbacks etc.

tspan = (0.0, 5.0)
ode = semidiscretize_gpu(semi, tspan) # from TrixiGPU.jl

summary_callback = SummaryCallback()

resid_tol = 5.0e-12
steady_state_callback = SteadyStateCallback(abstol = resid_tol, reltol = 0.0)

analysis_interval = 100
analysis_callback = AnalysisCallback(semi, interval = analysis_interval,
extra_analysis_integrals = (entropy, energy_total))

alive_callback = AliveCallback(analysis_interval = analysis_interval)

save_solution = SaveSolutionCallback(interval = 100,
save_initial_solution = true,
save_final_solution = true,
solution_variables = cons2prim)

stepsize_callback = StepsizeCallback(cfl = 1.0)

callbacks = CallbackSet(summary_callback, steady_state_callback,
analysis_callback, alive_callback,
save_solution,
stepsize_callback)

###############################################################################
# run the simulation

sol = solve(ode, CarpenterKennedy2N54(williamson_condition = false),
dt = 1.0, # solve needs some value here but it will be overwritten by the stepsize_callback
save_everystep = false, callback = callbacks)
summary_callback() # print the timer summary
65 changes: 65 additions & 0 deletions examples/hypdiff_nonperiodic_2d.jl
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using Trixi, TrixiGPU
using OrdinaryDiffEq

# The example is taken from the Trixi.jl

###############################################################################
# semidiscretization of the hyperbolic diffusion equations

equations = HyperbolicDiffusionEquations2D()

initial_condition = initial_condition_poisson_nonperiodic

boundary_conditions = (x_neg = boundary_condition_poisson_nonperiodic,
x_pos = boundary_condition_poisson_nonperiodic,
y_neg = boundary_condition_periodic,
y_pos = boundary_condition_periodic)

solver = DGSEM(polydeg = 4, surface_flux = flux_lax_friedrichs)

coordinates_min = (0.0, 0.0)
coordinates_max = (1.0, 1.0)
mesh = TreeMesh(coordinates_min, coordinates_max,
initial_refinement_level = 3,
n_cells_max = 30_000,
periodicity = (false, true))

semi = SemidiscretizationHyperbolic(mesh, equations, initial_condition, solver,
boundary_conditions = boundary_conditions,
source_terms = source_terms_poisson_nonperiodic)

###############################################################################
# ODE solvers, callbacks etc.

tspan = (0.0, 5.0)
ode = semidiscretize_gpu(semi, tspan) # from TrixiGPU.jl

summary_callback = SummaryCallback()

resid_tol = 5.0e-12
steady_state_callback = SteadyStateCallback(abstol = resid_tol, reltol = 0.0)

analysis_interval = 100
analysis_callback = AnalysisCallback(semi, interval = analysis_interval)

alive_callback = AliveCallback(analysis_interval = analysis_interval)

save_solution = SaveSolutionCallback(interval = 100,
save_initial_solution = true,
save_final_solution = true,
solution_variables = cons2prim)

stepsize_callback = StepsizeCallback(cfl = 1.0)

callbacks = CallbackSet(summary_callback, steady_state_callback,
analysis_callback, alive_callback,
save_solution,
stepsize_callback)

###############################################################################
# run the simulation

sol = solve(ode, CarpenterKennedy2N54(williamson_condition = false),
dt = 1.0, # solve needs some value here but it will be overwritten by the stepsize_callback
save_everystep = false, callback = callbacks)
summary_callback() # print the timer summary
67 changes: 67 additions & 0 deletions examples/hypdiff_nonperiodic_3d.jl
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using Trixi, TrixiGPU
using OrdinaryDiffEq

# The example is taken from the Trixi.jl

###############################################################################
# semidiscretization of the hyperbolic diffusion equations

equations = HyperbolicDiffusionEquations3D()

initial_condition = initial_condition_poisson_nonperiodic
boundary_conditions = (x_neg = boundary_condition_poisson_nonperiodic,
x_pos = boundary_condition_poisson_nonperiodic,
y_neg = boundary_condition_periodic,
y_pos = boundary_condition_periodic,
z_neg = boundary_condition_periodic,
z_pos = boundary_condition_periodic)

solver = DGSEM(polydeg = 4, surface_flux = flux_lax_friedrichs)

coordinates_min = (0.0, 0.0, 0.0)
coordinates_max = (1.0, 1.0, 1.0)
mesh = TreeMesh(coordinates_min, coordinates_max,
initial_refinement_level = 2,
n_cells_max = 30_000,
periodicity = (false, true, true))

semi = SemidiscretizationHyperbolic(mesh, equations, initial_condition, solver,
source_terms = source_terms_poisson_nonperiodic,
boundary_conditions = boundary_conditions)

###############################################################################
# ODE solvers, callbacks etc.

tspan = (0.0, 5.0)
ode = semidiscretize_gpu(semi, tspan) # from TrixiGPU.jl

summary_callback = SummaryCallback()

resid_tol = 1.0e-5
steady_state_callback = SteadyStateCallback(abstol = resid_tol, reltol = 0.0)

analysis_interval = 200
analysis_callback = AnalysisCallback(semi, interval = analysis_interval,
extra_analysis_integrals = (entropy, energy_total))

alive_callback = AliveCallback(analysis_interval = analysis_interval)

save_solution = SaveSolutionCallback(interval = 100,
save_initial_solution = true,
save_final_solution = true,
solution_variables = cons2prim)

stepsize_callback = StepsizeCallback(cfl = 1.8)

callbacks = CallbackSet(summary_callback, steady_state_callback,
analysis_callback, alive_callback,
save_solution,
stepsize_callback)

###############################################################################
# run the simulation

sol = Trixi.solve(ode, Trixi.HypDiffN3Erk3Sstar52(),
dt = 1.0, # solve needs some value here but it will be overwritten by the stepsize_callback
save_everystep = false, callback = callbacks)
summary_callback() # print the timer summary
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