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ex18p.cpp
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// MFEM Example 18 - Parallel Version
//
// Compile with: make ex18p
//
// Sample runs:
//
// mpirun -np 4 ex18p -p 1 -rs 2 -rp 1 -o 1 -s 3
// mpirun -np 4 ex18p -p 1 -rs 1 -rp 1 -o 3 -s 4
// mpirun -np 4 ex18p -p 1 -rs 1 -rp 1 -o 5 -s 6
// mpirun -np 4 ex18p -p 2 -rs 1 -rp 1 -o 1 -s 3 -mf
// mpirun -np 4 ex18p -p 2 -rs 1 -rp 1 -o 3 -s 3 -mf
//
// Description: This example code solves the compressible Euler system of
// equations, a model nonlinear hyperbolic PDE, with a
// discontinuous Galerkin (DG) formulation in parallel.
//
// (u_t, v)_T - (F(u), ∇ v)_T + <F̂(u,n), [[v]]>_F = 0
//
// where (⋅,⋅)_T is volume integration, and <⋅,⋅>_F is face
// integration, F is the Euler flux function, and F̂ is the
// numerical flux.
//
// Specifically, it solves for an exact solution of the equations
// whereby a vortex is transported by a uniform flow. Since all
// boundaries are periodic here, the method's accuracy can be
// assessed by measuring the difference between the solution and
// the initial condition at a later time when the vortex returns
// to its initial location.
//
// Note that as the order of the spatial discretization increases,
// the timestep must become smaller. This example currently uses a
// simple estimate derived by Cockburn and Shu for the 1D RKDG
// method. An additional factor can be tuned by passing the --cfl
// (or -c shorter) flag.
//
// The example demonstrates usage of DGHyperbolicConservationLaws
// that wraps NonlinearFormIntegrators containing element and face
// integration schemes. In this case the system also involves an
// external approximate Riemann solver for the DG interface flux.
// By default, weak-divergence is pre-assembled in element-wise
// manner, which corresponds to (I_h(F(u_h)), ∇ v). This yields
// better performance and similar accuracy for the included test
// problems. This can be turned off and use nonlinear assembly
// similar to matrix-free assembly when -mf flag is provided.
// It also demonstrates how to use GLVis for in-situ visualization
// of vector grid function and how to set top-view.
//
// We recommend viewing examples 9, 14 and 17 before viewing this
// example.
#include "mfem.hpp"
#include <fstream>
#include <iostream>
#include <sstream>
#include "ex18.hpp"
using namespace std;
using namespace mfem;
int main(int argc, char *argv[])
{
// 0. Parallel setup
Mpi::Init(argc, argv);
const int numProcs = Mpi::WorldSize();
const int myRank = Mpi::WorldRank();
Hypre::Init();
// 1. Parse command-line options.
int problem = 1;
const real_t specific_heat_ratio = 1.4;
const real_t gas_constant = 1.0;
string mesh_file = "";
int IntOrderOffset = 1;
int ser_ref_levels = 0;
int par_ref_levels = 1;
int order = 3;
int ode_solver_type = 4;
real_t t_final = 2.0;
real_t dt = -0.01;
real_t cfl = 0.3;
bool visualization = true;
bool preassembleWeakDiv = true;
int vis_steps = 50;
int precision = 8;
cout.precision(precision);
OptionsParser args(argc, argv);
args.AddOption(&mesh_file, "-m", "--mesh",
"Mesh file to use. If not provided, then a periodic square"
" mesh will be used.");
args.AddOption(&problem, "-p", "--problem",
"Problem setup to use. See EulerInitialCondition().");
args.AddOption(&ser_ref_levels, "-rs", "--serial-refine",
"Number of times to refine the serial mesh uniformly.");
args.AddOption(&par_ref_levels, "-rp", "--parallel-refine",
"Number of times to refine the parallel mesh uniformly.");
args.AddOption(&order, "-o", "--order",
"Order (degree) of the finite elements.");
args.AddOption(&ode_solver_type, "-s", "--ode-solver",
"ODE solver: 1 - Forward Euler,\n\t"
" 2 - RK2 SSP, 3 - RK3 SSP, 4 - RK4, 6 - RK6.");
args.AddOption(&t_final, "-tf", "--t-final", "Final time; start time is 0.");
args.AddOption(&dt, "-dt", "--time-step",
"Time step. Positive number skips CFL timestep calculation.");
args.AddOption(&cfl, "-c", "--cfl-number",
"CFL number for timestep calculation.");
args.AddOption(&visualization, "-vis", "--visualization", "-no-vis",
"--no-visualization",
"Enable or disable GLVis visualization.");
args.AddOption(&preassembleWeakDiv, "-ea", "--element-assembly-divergence",
"-mf", "--matrix-free-divergence",
"Weak divergence assembly level\n"
" ea - Element assembly with interpolated F\n"
" mf - Nonlinear assembly in matrix-free manner");
args.AddOption(&vis_steps, "-vs", "--visualization-steps",
"Visualize every n-th timestep.");
args.ParseCheck();
// 2. Read the mesh from the given mesh file. When the user does not provide
// mesh file, use the default mesh file for the problem.
Mesh mesh = mesh_file.empty() ? EulerMesh(problem) : Mesh(mesh_file);
const int dim = mesh.Dimension();
const int num_equations = dim + 2;
// Refine the mesh to increase the resolution. In this example we do
// 'ser_ref_levels' of uniform refinement, where 'ser_ref_levels' is a
// command-line parameter.
for (int lev = 0; lev < ser_ref_levels; lev++)
{
mesh.UniformRefinement();
}
// Define a parallel mesh by a partitioning of the serial mesh. Refine this
// mesh further in parallel to increase the resolution. Once the parallel
// mesh is defined, the serial mesh can be deleted.
ParMesh pmesh = ParMesh(MPI_COMM_WORLD, mesh);
mesh.Clear();
// Refine the mesh to increase the resolution. In this example we do
// 'par_ref_levels' of uniform refinement, where 'par_ref_levels' is a
// command-line parameter.
for (int lev = 0; lev < par_ref_levels; lev++)
{
pmesh.UniformRefinement();
}
// 3. Define the ODE solver used for time integration. Several explicit
// Runge-Kutta methods are available.
ODESolver *ode_solver = NULL;
switch (ode_solver_type)
{
case 1: ode_solver = new ForwardEulerSolver; break;
case 2: ode_solver = new RK2Solver(1.0); break;
case 3: ode_solver = new RK3SSPSolver; break;
case 4: ode_solver = new RK4Solver; break;
case 6: ode_solver = new RK6Solver; break;
default:
cout << "Unknown ODE solver type: " << ode_solver_type << '\n';
return 3;
}
// 4. Define the discontinuous DG finite element space of the given
// polynomial order on the refined mesh.
DG_FECollection fec(order, dim);
// Finite element space for a scalar (thermodynamic quantity)
ParFiniteElementSpace fes(&pmesh, &fec);
// Finite element space for a mesh-dim vector quantity (momentum)
ParFiniteElementSpace dfes(&pmesh, &fec, dim, Ordering::byNODES);
// Finite element space for all variables together (total thermodynamic state)
ParFiniteElementSpace vfes(&pmesh, &fec, num_equations, Ordering::byNODES);
// This example depends on this ordering of the space.
MFEM_ASSERT(fes.GetOrdering() == Ordering::byNODES, "");
HYPRE_BigInt glob_size = vfes.GlobalTrueVSize();
if (Mpi::Root())
{
cout << "Number of unknowns: " << glob_size << endl;
}
// 5. Define the initial conditions, save the corresponding mesh and grid
// functions to files. These can be opened with GLVis using:
// "glvis -np 4 -m euler-mesh -g euler-1-init" (for x-momentum).
// Initialize the state.
VectorFunctionCoefficient u0 = EulerInitialCondition(problem,
specific_heat_ratio,
gas_constant);
ParGridFunction sol(&vfes);
sol.ProjectCoefficient(u0);
ParGridFunction mom(&dfes, sol.GetData() + fes.GetNDofs());
// Output the initial solution.
{
ostringstream mesh_name;
mesh_name << "euler-mesh." << setfill('0') << setw(6) << Mpi::WorldRank();
ofstream mesh_ofs(mesh_name.str().c_str());
mesh_ofs.precision(precision);
mesh_ofs << pmesh;
for (int k = 0; k < num_equations; k++)
{
ParGridFunction uk(&fes, sol.GetData() + k * fes.GetNDofs());
ostringstream sol_name;
sol_name << "euler-" << k << "-init." << setfill('0') << setw(6)
<< Mpi::WorldRank();
ofstream sol_ofs(sol_name.str().c_str());
sol_ofs.precision(precision);
sol_ofs << uk;
}
}
// 6. Set up the nonlinear form with euler flux and numerical flux
EulerFlux flux(dim, specific_heat_ratio);
RusanovFlux numericalFlux(flux);
DGHyperbolicConservationLaws euler(
vfes, std::unique_ptr<HyperbolicFormIntegrator>(
new HyperbolicFormIntegrator(numericalFlux, IntOrderOffset)),
preassembleWeakDiv);
// 7. Visualize momentum with its magnitude
socketstream sout;
if (visualization)
{
char vishost[] = "localhost";
int visport = 19916;
sout.open(vishost, visport);
if (!sout)
{
visualization = false;
if (Mpi::Root())
{
cout << "Unable to connect to GLVis server at " << vishost << ':'
<< visport << endl;
cout << "GLVis visualization disabled.\n";
}
}
else
{
sout.precision(precision);
// Plot magnitude of vector-valued momentum
sout << "parallel " << numProcs << " " << myRank << "\n";
sout << "solution\n" << pmesh << mom;
sout << "window_title 'momentum, t = 0'\n";
sout << "view 0 0\n"; // view from top
sout << "keys jlm\n"; // turn off perspective and light, show mesh
sout << "pause\n";
sout << flush;
if (Mpi::Root())
{
cout << "GLVis visualization paused."
<< " Press space (in the GLVis window) to resume it.\n";
}
MPI_Barrier(pmesh.GetComm());
}
}
// 8. Time integration
// When dt is not specified, use CFL condition.
// Compute h_min and initial maximum characteristic speed
real_t hmin = infinity();
if (cfl > 0)
{
for (int i = 0; i < pmesh.GetNE(); i++)
{
hmin = min(pmesh.GetElementSize(i, 1), hmin);
}
MPI_Allreduce(MPI_IN_PLACE, &hmin, 1, MPITypeMap<real_t>::mpi_type, MPI_MIN,
pmesh.GetComm());
// Find a safe dt, using a temporary vector. Calling Mult() computes the
// maximum char speed at all quadrature points on all faces (and all
// elements with -mf).
Vector z(sol.Size());
euler.Mult(sol, z);
real_t max_char_speed = euler.GetMaxCharSpeed();
MPI_Allreduce(MPI_IN_PLACE, &max_char_speed, 1, MPITypeMap<real_t>::mpi_type,
MPI_MAX,
pmesh.GetComm());
dt = cfl * hmin / max_char_speed / (2 * order + 1);
}
// Start the timer.
tic_toc.Clear();
tic_toc.Start();
// Init time integration
real_t t = 0.0;
euler.SetTime(t);
ode_solver->Init(euler);
// Integrate in time.
bool done = false;
for (int ti = 0; !done;)
{
real_t dt_real = min(dt, t_final - t);
ode_solver->Step(sol, t, dt_real);
if (cfl > 0) // update time step size with CFL
{
real_t max_char_speed = euler.GetMaxCharSpeed();
MPI_Allreduce(MPI_IN_PLACE, &max_char_speed, 1, MPITypeMap<real_t>::mpi_type,
MPI_MAX,
pmesh.GetComm());
dt = cfl * hmin / max_char_speed / (2 * order + 1);
}
ti++;
done = (t >= t_final - 1e-8 * dt);
if (done || ti % vis_steps == 0)
{
if (Mpi::Root())
{
cout << "time step: " << ti << ", time: " << t << endl;
}
if (visualization)
{
sout << "window_title 'momentum, t = " << t << "'\n";
sout << "parallel " << numProcs << " " << myRank << "\n";
sout << "solution\n" << pmesh << mom << flush;
}
}
}
tic_toc.Stop();
if (Mpi::Root())
{
cout << " done, " << tic_toc.RealTime() << "s." << endl;
}
// 9. Save the final solution. This output can be viewed later using GLVis:
// "glvis -np 4 -m euler-mesh-final -g euler-1-final" (for x-momentum).
{
ostringstream mesh_name;
mesh_name << "euler-mesh-final." << setfill('0') << setw(6)
<< Mpi::WorldRank();
ofstream mesh_ofs(mesh_name.str().c_str());
mesh_ofs.precision(precision);
mesh_ofs << pmesh;
for (int k = 0; k < num_equations; k++)
{
ParGridFunction uk(&fes, sol.GetData() + k * fes.GetNDofs());
ostringstream sol_name;
sol_name << "euler-" << k << "-final." << setfill('0') << setw(6)
<< Mpi::WorldRank();
ofstream sol_ofs(sol_name.str().c_str());
sol_ofs.precision(precision);
sol_ofs << uk;
}
}
// 10. Compute the L2 solution error summed for all components.
const real_t error = sol.ComputeLpError(2, u0);
if (Mpi::Root())
{
cout << "Solution error: " << error << endl;
}
// Free the used memory.
delete ode_solver;
return 0;
}