33submodule(
krylov) krylov_fctry
58 character(len=20) :: KSP_KNOWN_TYPES(9) = [character(len=20) :: &
79 module subroutine krylov_solver_factory(object, n, type_name, &
80 max_iter, abstol, m, monitor)
81 class(ksp_t),
allocatable,
intent(inout) :: object
82 integer,
intent(in),
value :: n
83 character(len=*),
intent(in) :: type_name
84 integer,
intent(in) :: max_iter
85 real(kind=
rp),
optional :: abstol
86 class(pc_t),
optional,
intent(in),
target :: M
87 logical,
optional,
intent(in) :: monitor
89 if (
allocated(object))
then
94 select case (trim(type_name))
101 allocate(
cg_t::object)
116 call neko_error(
'PipeCG not supported for OpenCL')
126 call neko_error(
'FusedCG not supported for OpenCL')
130 call neko_error(
'FusedCG only supported for CUDA/HIP')
133 case (
'fused_coupled_cg')
136 call neko_error(
'Coupled FusedCG not supported for OpenCL')
140 call neko_error(
'Coupled FusedCG only supported for CUDA/HIP')
169 call object%init(n, max_iter, m = m, abs_tol = abstol, monitor = monitor)
171 end subroutine krylov_solver_factory
173end submodule krylov_fctry
Defines various Bi-Conjugate Gradient Stabilized methods.
Defines a communication avoiding Conjugate Gradient method.
Defines a coupled Conjugate Gradient methods for accelerators.
Defines a coupled Conjugate Gradient methods.
Defines various Conjugate Gradient methods for accelerators.
Defines various Conjugate Gradient methods.
Defines various Conjugate Gradient methods.
Chebyshev preconditioner.
Chebyshev preconditioner.
Defines a fused Conjugate Gradient method for accelerators.
Defines a fused Conjugate Gradient method for accelerators.
Defines various GMRES methods.
Defines various GMRES methods.
Defines various GMRES methods.
Implements the base abstract type for Krylov solvers plus helper types.
integer, parameter neko_bcknd_sx
integer, parameter neko_bcknd_device
integer, parameter neko_bcknd_opencl
integer, parameter, public rp
Global precision used in computations.
Defines a pipelined Conjugate Gradient methods.
Defines a pipelined Conjugate Gradient methods SX-Aurora backend.
Defines a pipelined Conjugate Gradient methods.
subroutine, public neko_type_error(base_type, wrong_type, known_types)
Reports an error allocating a type for a particular base pointer class.
Standard preconditioned Bi-Conjugate Gradient Stabilized method.
S-step communication avoiding preconditioned conjugate gradient method.
Standard preconditioned conjugate gradient method.
Coupled preconditioned conjugate gradient method.
Device based coupled preconditioned conjugate gradient method.
Device based preconditioned conjugate gradient method.
Standard preconditioned conjugate gradient method (SX version)
Defines a Chebyshev preconditioner.
Defines a Chebyshev preconditioner.
Fused preconditioned conjugate gradient method.
Fused preconditioned conjugate gradient method.
Standard preconditioned generalized minimal residual method.
Standard preconditioned generalized minimal residual method.
Standard preconditioned generalized minimal residual method (SX version)
Pipelined preconditioned conjugate gradient method.
Pipelined preconditioned conjugate gradient method.
Pipelined preconditioned conjugate gradient method for SX-Aurora.
Defines a canonical Krylov preconditioner.