def create_pcd_solver(comm, pcd_variant, ls, mumps_debug=False):
prefix = "NS_"
# Set up linear solver (GMRES with right preconditioning using Schur fact)
linear_solver = PCDKrylovSolver(comm=comm)
linear_solver.set_options_prefix(prefix)
linear_solver.parameters["relative_tolerance"] = 1e-6
PETScOptions.set(prefix + "ksp_gmres_restart", 150)
# Set up subsolvers
PETScOptions.set(prefix + "fieldsplit_p_pc_python_type",
"fenapack.PCDRPC_" + pcd_variant)
if ls == "iterative":
PETScOptions.set(prefix + "fieldsplit_u_ksp_type", "richardson")
PETScOptions.set(prefix + "fieldsplit_u_ksp_max_it", 1)
PETScOptions.set(prefix + "fieldsplit_u_pc_type", "hypre")
PETScOptions.set(prefix + "fieldsplit_u_pc_hypre_type", "boomeramg")
# PETScOptions.set(prefix+"fieldsplit_u_pc_hypre_boomeramg_P_max", 4)
# PETScOptions.set(prefix+"fieldsplit_u_pc_hypre_boomeramg_agg_nl", 1)
# PETScOptions.set(prefix+"fieldsplit_u_pc_hypre_boomeramg_agg_num_paths", 2)
# PETScOptions.set(prefix+"fieldsplit_u_pc_hypre_boomeramg_coarsen_type", "HMIS")
# PETScOptions.set(prefix+"fieldsplit_u_pc_hypre_boomeramg_interp_type", "ext+i")
# PETScOptions.set(prefix+"fieldsplit_u_pc_hypre_boomeramg_no_CF")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Rp_ksp_type", "richardson")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Rp_ksp_max_it", 1)
PETScOptions.set(prefix + "fieldsplit_p_PCD_Rp_pc_type",
"hypre") # "gamg"
PETScOptions.set(prefix + "fieldsplit_p_PCD_Rp_pc_hypre_type",
"boomeramg")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Ap_ksp_type", "richardson")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Ap_ksp_max_it", 1)
PETScOptions.set(prefix + "fieldsplit_p_PCD_Ap_pc_type",
"hypre") # "gamg"
PETScOptions.set(prefix + "fieldsplit_p_PCD_Ap_pc_hypre_type",
"boomeramg")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Mp_ksp_type", "chebyshev")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Mp_ksp_max_it", 5)
PETScOptions.set(
prefix + "fieldsplit_p_PCD_Mp_ksp_chebyshev_eigenvalues",
"0.5, 2.0")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Mp_pc_type", "jacobi")
elif ls == "direct":
# Debugging MUMPS
if mumps_debug:
PETScOptions.set(prefix + "fieldsplit_u_mat_mumps_icntl_4", 2)
PETScOptions.set(prefix + "fieldsplit_p_PCD_Ap_mat_mumps_icntl_4",
2)
PETScOptions.set(prefix + "fieldsplit_p_PCD_Mp_mat_mumps_icntl_4",
2)
else:
assert False
# Apply options
linear_solver.set_from_options()
return linear_solver
def create_pcd_solver(comm, pcd_variant, ls, mumps_debug=False):
prefix = ""
# Set up linear solver (GMRES with right preconditioning using Schur fact)
linear_solver = PCDKrylovSolver(comm=comm)
linear_solver.set_options_prefix(prefix)
linear_solver.parameters["relative_tolerance"] = 1e-6
PETScOptions.set(prefix + "ksp_gmres_restart", 150)
# Set up subsolvers
PETScOptions.set(prefix + "fieldsplit_p_pc_python_type",
"fenapack.PCDRPC_" + pcd_variant)
if ls == "iterative":
PETScOptions.set(prefix + "fieldsplit_u_ksp_type", "richardson")
PETScOptions.set(prefix + "fieldsplit_u_ksp_max_it", 1)
PETScOptions.set(prefix + "fieldsplit_u_pc_type", "hypre")
PETScOptions.set(prefix + "fieldsplit_u_pc_hypre_type", "boomeramg")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Rp_ksp_type", "richardson")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Rp_ksp_max_it", 1)
PETScOptions.set(prefix + "fieldsplit_p_PCD_Rp_pc_type", "hypre")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Rp_pc_hypre_type",
"boomeramg")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Ap_ksp_type", "richardson")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Ap_ksp_max_it", 1)
PETScOptions.set(prefix + "fieldsplit_p_PCD_Ap_pc_type", "hypre")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Ap_pc_hypre_type",
"boomeramg")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Mp_ksp_type", "chebyshev")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Mp_ksp_max_it", 5)
PETScOptions.set(
prefix + "fieldsplit_p_PCD_Mp_ksp_chebyshev_eigenvalues",
"0.5, 2.0")
# CHANGE #0: The above estimate is valid only for P1 pressure.
# Increase upper bound for higher OPA!
PETScOptions.set(prefix + "fieldsplit_p_PCD_Mp_pc_type", "jacobi")
elif ls == "direct":
# Debugging MUMPS
if mumps_debug:
PETScOptions.set(prefix + "fieldsplit_u_mat_mumps_icntl_4", 2)
PETScOptions.set(prefix + "fieldsplit_p_PCD_Ap_mat_mumps_icntl_4",
2)
PETScOptions.set(prefix + "fieldsplit_p_PCD_Mp_mat_mumps_icntl_4",
2)
else:
assert False
# Apply options
linear_solver.set_from_options()
return linear_solver
def create_solver(comm, pcd_variant, ls, mumps_debug=False):
prefix = "s" + get_random_string() + "_"
# Set up linear solver (GMRES with right preconditioning using Schur fact)
linear_solver = PCDKrylovSolver(comm=comm)
linear_solver.set_options_prefix(prefix)
linear_solver.parameters["relative_tolerance"] = 1e-6
PETScOptions.set(prefix + "ksp_gmres_restart", 150)
# Set up subsolvers
PETScOptions.set(prefix + "fieldsplit_p_pc_python_type",
"fenapack.PCDPC_" + pcd_variant)
if ls == "iterative":
PETScOptions.set(prefix + "fieldsplit_u_ksp_type", "richardson")
PETScOptions.set(prefix + "fieldsplit_u_ksp_max_it", 1)
PETScOptions.set(prefix + "fieldsplit_u_pc_type", "hypre")
PETScOptions.set(prefix + "fieldsplit_u_pc_hypre_type", "boomeramg")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Ap_ksp_type", "richardson")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Ap_ksp_max_it", 2)
PETScOptions.set(prefix + "fieldsplit_p_PCD_Ap_pc_type", "hypre")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Ap_pc_hypre_type",
"boomeramg")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Mp_ksp_type", "chebyshev")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Mp_ksp_max_it", 5)
PETScOptions.set(
prefix + "fieldsplit_p_PCD_Mp_ksp_chebyshev_eigenvalues",
"0.5, 2.0")
PETScOptions.set(prefix + "fieldsplit_p_PCD_Mp_pc_type", "jacobi")
elif ls == "direct":
# Debugging MUMPS
if mumps_debug:
PETScOptions.set(prefix + "fieldsplit_u_mat_mumps_icntl_4", 2)
PETScOptions.set(prefix + "fieldsplit_p_PCD_Ap_mat_mumps_icntl_4",
2)
PETScOptions.set(prefix + "fieldsplit_p_PCD_Mp_mat_mumps_icntl_4",
2)
else:
assert False
# Apply options
linear_solver.set_from_options()
# Set up nonlinear solver
solver = PCDNewtonSolver(linear_solver)
solver.parameters["relative_tolerance"] = 1e-5
return solver
def create_dummy_solver_and_problem():
mesh = UnitSquareMesh(3, 3)
class Gamma1(SubDomain):
def inside(self, x, on_boundary):
return on_boundary and near(x[0], 0.0)
P2 = VectorElement("Lagrange", mesh.ufl_cell(), 2)
P1 = FiniteElement("Lagrange", mesh.ufl_cell(), 1)
W = FunctionSpace(mesh, P2*P1)
ff = MeshFunction('size_t', W.mesh(), W.mesh().topology().dim()-1)
ff.set_all(0)
Gamma1().mark(ff, 1)
w = Function(W)
F, bcs, J, J_pc = create_forms(w, ff, 1.0, 1.0, "newton", "direct")
problem = create_pcd_problem(F, bcs, J, J_pc, w, 1.0, ff, "BRM1")
solver = PCDKrylovSolver(comm=mesh.mpi_comm())
solver.set_options_prefix("s"+get_random_string()+"_")
A = PETScMatrix(solver.ksp().comm.tompi4py())
problem.J(A, w.vector())
solver.set_operators(A, A)
return solver, problem
def create_dummy_solver_and_problem():
mesh = UnitSquareMesh(3, 3)
class Gamma1(SubDomain):
def inside(self, x, on_boundary):
return on_boundary and near(x[0], 0.0)
P2 = VectorElement("Lagrange", mesh.ufl_cell(), 2)
P1 = FiniteElement("Lagrange", mesh.ufl_cell(), 1)
W = FunctionSpace(mesh, P2*P1)
ff = MeshFunction('size_t', W.mesh(), W.mesh().topology().dim()-1)
ff.set_all(0)
Gamma1().mark(ff, 1)
w = Function(W)
F, bcs, J, J_pc = create_forms(w, ff, 1.0, 1.0, "newton", "direct")
problem = create_pcd_problem(F, bcs, J, J_pc, w, 1.0, ff, "BRM1")
solver = PCDKrylovSolver(comm=mesh.mpi_comm())
solver.set_options_prefix("s"+get_random_string()+"_")
A = PETScMatrix(solver.mpi_comm())
problem.J(A, w.vector())
solver.set_operators(A, A)
return solver, problem
def create_solver(comm, pcd_variant, ls, mumps_debug=False):
prefix = "s" + get_random_string() + "_"
# Set up linear solver (GMRES with right preconditioning using Schur fact)
linear_solver = PCDKrylovSolver(comm=comm)
linear_solver.set_options_prefix(prefix)
linear_solver.parameters["relative_tolerance"] = 1e-6
PETScOptions.set(prefix+"ksp_gmres_restart", 150)
# Set up subsolvers
PETScOptions.set(prefix+"fieldsplit_p_pc_python_type", "fenapack.PCDPC_" + pcd_variant)
if ls == "iterative":
PETScOptions.set(prefix+"fieldsplit_u_ksp_type", "richardson")
PETScOptions.set(prefix+"fieldsplit_u_ksp_max_it", 1)
PETScOptions.set(prefix+"fieldsplit_u_pc_type", "hypre")
PETScOptions.set(prefix+"fieldsplit_u_pc_hypre_type", "boomeramg")
PETScOptions.set(prefix+"fieldsplit_p_PCD_Ap_ksp_type", "richardson")
PETScOptions.set(prefix+"fieldsplit_p_PCD_Ap_ksp_max_it", 2)
PETScOptions.set(prefix+"fieldsplit_p_PCD_Ap_pc_type", "hypre")
PETScOptions.set(prefix+"fieldsplit_p_PCD_Ap_pc_hypre_type", "boomeramg")
PETScOptions.set(prefix+"fieldsplit_p_PCD_Mp_ksp_type", "chebyshev")
PETScOptions.set(prefix+"fieldsplit_p_PCD_Mp_ksp_max_it", 5)
PETScOptions.set(prefix+"fieldsplit_p_PCD_Mp_ksp_chebyshev_eigenvalues", "0.5, 2.0")
PETScOptions.set(prefix+"fieldsplit_p_PCD_Mp_pc_type", "jacobi")
elif ls == "direct":
# Debugging MUMPS
if mumps_debug:
PETScOptions.set(prefix+"fieldsplit_u_mat_mumps_icntl_4", 2)
PETScOptions.set(prefix+"fieldsplit_p_PCD_Ap_mat_mumps_icntl_4", 2)
PETScOptions.set(prefix+"fieldsplit_p_PCD_Mp_mat_mumps_icntl_4", 2)
else:
assert False
# Apply options
linear_solver.set_from_options()
# Set up nonlinear solver
solver = PCDNewtonSolver(linear_solver)
solver.parameters["relative_tolerance"] = 1e-5
return solver