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Save and load user_data for p4est #1915

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54 changes: 54 additions & 0 deletions examples/p4est_2d_dgsem/elixir_advection_restart_amr.jl
Original file line number Diff line number Diff line change
@@ -0,0 +1,54 @@

using OrdinaryDiffEq
using Trixi

###############################################################################
# create a restart file

elixir_file = "elixir_advection_extended.jl"
restart_file = "restart_000021.h5"

trixi_include(@__MODULE__, joinpath(@__DIR__, elixir_file))

###############################################################################
# adapt the parameters that have changed compared to "elixir_advection_extended.jl"

# Note: If you get a restart file from somewhere else, you need to provide
# appropriate setups in the elixir loading a restart file

restart_filename = joinpath("out", restart_file)
mesh = load_mesh(restart_filename)

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

tspan = (load_time(restart_filename), 2.0)
dt = load_dt(restart_filename)
ode = semidiscretize(semi, tspan, restart_filename);

# Do not overwrite the initial snapshot written by elixir_advection_extended.jl.
save_solution.condition.save_initial_solution = false

# Add AMR callback
amr_controller = ControllerThreeLevel(semi, IndicatorMax(semi, variable = first),
base_level = 0,
med_level = 0, med_threshold = 0.8,
max_level = 1, max_threshold = 1.2)
amr_callback = AMRCallback(semi, amr_controller,
interval = 5,
adapt_initial_condition = true,
adapt_initial_condition_only_refine = true)
callbacks_ext = CallbackSet(amr_callback, callbacks.discrete_callbacks...)

integrator = init(ode, CarpenterKennedy2N54(williamson_condition = false),
dt = dt, # solve needs some value here but it will be overwritten by the stepsize_callback
save_everystep = false, callback = callbacks_ext, maxiters = 100_000);
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# Get the last time index and work with that.
load_timestep!(integrator, restart_filename)

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

sol = solve!(integrator)
summary_callback() # print the timer summary
3 changes: 2 additions & 1 deletion examples/tree_2d_dgsem/elixir_advection_extended.jl
Original file line number Diff line number Diff line change
Expand Up @@ -78,7 +78,8 @@ callbacks = CallbackSet(summary_callback,
alg = CarpenterKennedy2N54(williamson_condition = false)
sol = solve(ode, alg,
dt = 1.0, # solve needs some value here but it will be overwritten by the stepsize_callback
save_everystep = false, callback = callbacks; ode_default_options()...);
callback = callbacks;
ode_default_options()...); # default options because an adaptive time stepping method is used in test_mpi_tree.jl

# Print the timer summary
summary_callback()
3 changes: 2 additions & 1 deletion examples/tree_2d_dgsem/elixir_advection_restart.jl
Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,8 @@ save_solution.condition.save_initial_solution = false

integrator = init(ode, alg,
dt = dt, # solve needs some value here but it will be overwritten by the stepsize_callback
callback = callbacks, maxiters = 100_000; ode_default_options()...)
callback = callbacks;
ode_default_options()...); # default options because an adaptive time stepping method is used in test_mpi_tree.jl

# Load saved context for adaptive time integrator
if integrator.opts.adaptive
Expand Down
4 changes: 2 additions & 2 deletions examples/tree_2d_dgsem/elixir_advection_restart_amr.jl
Original file line number Diff line number Diff line change
Expand Up @@ -34,13 +34,13 @@ amr_controller = ControllerThreeLevel(semi, IndicatorMax(semi, variable = first)
max_level = 5, max_threshold = 1.2)
amr_callback = AMRCallback(semi, amr_controller,
interval = 5,
adapt_initial_condition = false,
adapt_initial_condition = true,
adapt_initial_condition_only_refine = true)
callbacks_ext = CallbackSet(amr_callback, callbacks.discrete_callbacks...)

integrator = init(ode, alg,
dt = dt, # solve needs some value here but it will be overwritten by the stepsize_callback
callback = callbacks_ext, maxiters = 100_000; ode_default_options()...)
save_everystep = false, callback = callbacks_ext, maxiters = 100_000)

# Load saved context for adaptive time integrator
if integrator.opts.adaptive
Expand Down
20 changes: 18 additions & 2 deletions src/auxiliary/p4est.jl
Original file line number Diff line number Diff line change
Expand Up @@ -99,14 +99,30 @@ end
function load_p4est(file, ::Val{2})
conn_vec = Vector{Ptr{p4est_connectivity_t}}(undef, 1)
comm = P4est.uses_mpi() ? mpi_comm() : C_NULL # Use Trixi.jl's MPI communicator if p4est supports MPI
p4est_load_ext(file, comm, 0, 0, 1, 0, C_NULL, pointer(conn_vec))
p4est = p4est_load_ext(file,
comm,
0, # Size of user data
0, # Flag to load user data
1, # Autopartition: ignore saved partition
0, # Have only rank 0 read headers and bcast them
C_NULL, # No pointer to user data
pointer(conn_vec))
# p4est_load_ext only allocates memory when also data is read
# use p4est_reset_data to allocate uninitialized memory
p4est_reset_data(p4est,
2 * sizeof(Int), # Use Int-Vector of size 2 as quadrant user data
C_NULL, # No init function
C_NULL) # No pointer to user data
return p4est
end

# 3D
function load_p4est(file, ::Val{3})
conn_vec = Vector{Ptr{p8est_connectivity_t}}(undef, 1)
comm = P4est.uses_mpi() ? mpi_comm() : C_NULL # Use Trixi.jl's MPI communicator if p4est supports MPI
p8est_load_ext(file, comm, 0, 0, 1, 0, C_NULL, pointer(conn_vec))
p4est = p8est_load_ext(file, comm, 0, 0, 1, 0, C_NULL, pointer(conn_vec))
p8est_reset_data(p4est, 2 * sizeof(Int), C_NULL, C_NULL)
return p4est
end

# Read `p4est` connectivity from Abaqus mesh file (.inp)
Expand Down
5 changes: 2 additions & 3 deletions test/test_mpi_tree.jl
Original file line number Diff line number Diff line change
Expand Up @@ -73,9 +73,8 @@ CI_ON_WINDOWS = (get(ENV, "GITHUB_ACTIONS", false) == "true") && Sys.iswindows()
@trixi_testset "elixir_advection_restart_amr.jl" begin
@test_trixi_include(joinpath(EXAMPLES_DIR,
"elixir_advection_restart_amr.jl"),
l2=[7.870371848717432e-5],
linf=[0.0007374081713964475],
coverage_override=(maxiters = 50,))
l2=[8.018498574373939e-5],
linf=[0.0007307237754662355])
end

# Linear scalar advection with AMR
Expand Down
19 changes: 18 additions & 1 deletion test/test_p4est_2d.jl
Original file line number Diff line number Diff line change
Expand Up @@ -97,7 +97,24 @@ end
linf=[6.21489667023134e-5],
# With the default `maxiters = 1` in coverage tests,
# there would be no time steps after the restart.
coverage_override=(maxiters = 100_000,))
coverage_override=(maxiters = 25,))
# Ensure that we do not have excessive memory allocations
# (e.g., from type instabilities)
let
t = sol.t[end]
u_ode = sol.u[end]
du_ode = similar(u_ode)
@test (@allocated Trixi.rhs!(du_ode, u_ode, semi, t)) < 1000
end
end

@trixi_testset "elixir_advection_restart_amr.jl" begin
@test_trixi_include(joinpath(EXAMPLES_DIR, "elixir_advection_restart_amr.jl"),
l2=[2.869137983727866e-6],
linf=[3.8353423270964804e-5],
# With the default `maxiters = 1` in coverage tests,
# there would be no time steps after the restart.
coverage_override=(maxiters = 25,))
# Ensure that we do not have excessive memory allocations
# (e.g., from type instabilities)
let
Expand Down
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