Opm::gpuistl::SolverAdapter< Operator, UnderlyingSolver, X > Class Template Reference

Wraps a CUDA solver to work with CPU data. More...

#include <SolverAdapter.hpp>

Inheritance diagram for Opm::gpuistl::SolverAdapter< Operator, UnderlyingSolver, X >:

Public Types
using	XGPU = Opm::gpuistl::GpuVector< real_type >

Public Member Functions
template<class Comm >
	SolverAdapter (Operator &op, Dune::ScalarProduct< X > &sp, std::shared_ptr< Dune::Preconditioner< X, X > > prec, scalar_real_type reduction, int maxit, int verbose, const Comm &comm)
	constructor More...
virtual void	apply (X &x, X &b, double reduction, Dune::InverseOperatorResult &res) override
virtual void	apply (X &x, X &b, Dune::InverseOperatorResult &res) override

Static Public Attributes
static constexpr auto	block_size = domain_type::block_type::dimension

Detailed Description

template<class Operator, template< class > class UnderlyingSolver, class X>
class Opm::gpuistl::SolverAdapter< Operator, UnderlyingSolver, X >

Wraps a CUDA solver to work with CPU data.

Template Parameters

Operator	the Dune::LinearOperator to use
UnderlyingSolver	a Dune solver like class, eg Dune::BiCGSTABSolver
X	the outer type to use (eg. Dune::BlockVector<Dune::FieldVector<...>>)

Member Typedef Documentation

XGPU

template<class Operator , template< class > class UnderlyingSolver, class X >

using Opm::gpuistl::SolverAdapter< Operator, UnderlyingSolver, X >::XGPU = Opm::gpuistl::GpuVector<real_type>

Constructor & Destructor Documentation

SolverAdapter()

template<class Operator , template< class > class UnderlyingSolver, class X >

template<class Comm >

Opm::gpuistl::SolverAdapter< Operator, UnderlyingSolver, X >::SolverAdapter ( Operator &  op, Dune::ScalarProduct< X > &  sp, std::shared_ptr< Dune::Preconditioner< X, X > >  prec, scalar_real_type  reduction, int  maxit, int  verbose, const Comm &  comm  )

inline

constructor

Parameters

op	the linear operator (assumed CPU, the output (matrix) of which will be converted to a GPU variant)
sp	the scalar product (assumed CPU, this will be converted to a GPU variant)
prec	The preconditioner to use
reduction	the reduction factor passed to the iterative solver
maxit	maximum number of iterations for the linear solver
verbose	verbosity level
comm	the communication object. If this is Dune::Amg::SequentialInformation, we assume a serial setup

Member Function Documentation

apply() [1/2]

template<class Operator , template< class > class UnderlyingSolver, class X >

virtual void Opm::gpuistl::SolverAdapter< Operator, UnderlyingSolver, X >::apply ( X &  x, X &  b, double  reduction, Dune::InverseOperatorResult &  res  )

inlineoverridevirtual

References Opm::gpuistl::GpuSparseMatrix< T >::updateNonzeroValues().

apply() [2/2]

template<class Operator , template< class > class UnderlyingSolver, class X >

virtual void Opm::gpuistl::SolverAdapter< Operator, UnderlyingSolver, X >::apply ( X &  x, X &  b, Dune::InverseOperatorResult &  res  )

inlineoverridevirtual

References Opm::gpuistl::GpuSparseMatrix< T >::updateNonzeroValues().

Member Data Documentation

block_size

template<class Operator , template< class > class UnderlyingSolver, class X >

constexpr auto Opm::gpuistl::SolverAdapter< Operator, UnderlyingSolver, X >::block_size = domain_type::block_type::dimension

staticconstexpr

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The documentation for this class was generated from the following file:

• SolverAdapter.hpp