CUDAWrappers::MatrixFree< dim, Number > Class Template Reference

#include <deal.II/matrix_free/cuda_matrix_free.h>

Inheritance diagram for CUDAWrappers::MatrixFree< dim, Number >:

Classes
struct	AdditionalData
struct	Data

Public Types
using	jacobian_type = Tensor< 2, dim, Tensor< 1, dim, Number > >
using	point_type = Point< dim, Number >
using	CellFilter = FilteredIterator< typename DoFHandler< dim >::active_cell_iterator >

Public Member Functions
	MatrixFree ()
unsigned int	get_padding_length () const
template<typename IteratorFiltersType >
void	reinit (const Mapping< dim > &mapping, const DoFHandler< dim > &dof_handler, const AffineConstraints< Number > &constraints, const Quadrature< 1 > &quad, const IteratorFiltersType &iterator_filter, const AdditionalData &additional_data=AdditionalData())
void	reinit (const Mapping< dim > &mapping, const DoFHandler< dim > &dof_handler, const AffineConstraints< Number > &constraints, const Quadrature< 1 > &quad, const AdditionalData &additional_data=AdditionalData())
void	reinit (const DoFHandler< dim > &dof_handler, const AffineConstraints< Number > &constraints, const Quadrature< 1 > &quad, const AdditionalData &additional_data=AdditionalData())
Data	get_data (unsigned int color) const
template<typename Functor , typename VectorType >
void	cell_loop (const Functor &func, const VectorType &src, VectorType &dst) const
template<typename Functor >
void	evaluate_coefficients (Functor func) const
template<typename VectorType >
void	copy_constrained_values (const VectorType &src, VectorType &dst) const
template<typename VectorType >
void	set_constrained_values (const Number val, VectorType &dst) const
void	initialize_dof_vector (LinearAlgebra::CUDAWrappers::Vector< Number > &vec) const
void	initialize_dof_vector (LinearAlgebra::distributed::Vector< Number, MemorySpace::Default > &vec) const
const std::vector< std::vector< CellFilter > > &	get_colored_graph () const
const std::shared_ptr< const Utilities::MPI::Partitioner > &	get_vector_partitioner () const
const DoFHandler< dim > &	get_dof_handler () const
std::size_t	memory_consumption () const
template<class Archive >
void	serialize (Archive &ar, const unsigned int version)
Subscriptor functionality
Classes derived from Subscriptor provide a facility to subscribe to this object. This is mostly used by the SmartPointer class.
void	subscribe (std::atomic< bool > *const validity, const std::string &identifier="") const
void	unsubscribe (std::atomic< bool > *const validity, const std::string &identifier="") const
unsigned int	n_subscriptions () const
template<typename StreamType >
void	list_subscribers (StreamType &stream) const
void	list_subscribers () const

Static Public Member Functions
static ::ExceptionBase &	ExcInUse (int arg1, std::string arg2, std::string arg3)
static ::ExceptionBase &	ExcNoSubscriber (std::string arg1, std::string arg2)

Private Types
using	map_value_type = decltype(counter_map)::value_type
using	map_iterator = decltype(counter_map)::iterator

Private Member Functions
template<typename IteratorFiltersType >
void	internal_reinit (const Mapping< dim > &mapping, const DoFHandler< dim > &dof_handler, const AffineConstraints< Number > &constraints, const Quadrature< 1 > &quad, const IteratorFiltersType &iterator_filter, const std::shared_ptr< const MPI_Comm > &comm, const AdditionalData additional_data)
template<typename Functor , typename VectorType >
void	serial_cell_loop (const Functor &func, const VectorType &src, VectorType &dst) const
template<typename Functor >
void	distributed_cell_loop (const Functor &func, const LinearAlgebra::distributed::Vector< Number, MemorySpace::Default > &src, LinearAlgebra::distributed::Vector< Number, MemorySpace::Default > &dst) const
template<typename Functor >
void	distributed_cell_loop (const Functor &func, const LinearAlgebra::CUDAWrappers::Vector< Number > &src, LinearAlgebra::CUDAWrappers::Vector< Number > &dst) const
void	check_no_subscribers () const noexcept

Private Attributes
int	my_id
bool	use_coloring
bool	overlap_communication_computation
types::global_dof_index	n_dofs
unsigned int	fe_degree
unsigned int	dofs_per_cell
unsigned int	n_constrained_dofs
unsigned int	q_points_per_cell
unsigned int	n_colors
std::vector< unsigned int >	n_cells
std::vector< Kokkos::View< point_type **, MemorySpace::Default::kokkos_space > >	q_points
std::vector< Kokkos::View< types::global_dof_index **, MemorySpace::Default::kokkos_space > >	local_to_global
std::vector< Kokkos::View< Number **[dim][dim], MemorySpace::Default::kokkos_space > >	inv_jacobian
std::vector< Kokkos::View< Number **, MemorySpace::Default::kokkos_space > >	JxW
Kokkos::View< types::global_dof_index *, MemorySpace::Default::kokkos_space >	constrained_dofs
std::vector< Kokkos::View<::internal::MatrixFreeFunctions::ConstraintKinds *, MemorySpace::Default::kokkos_space > >	constraint_mask
Kokkos::View< Number *, MemorySpace::Default::kokkos_space >	shape_values
Kokkos::View< Number *, MemorySpace::Default::kokkos_space >	shape_gradients
Kokkos::View< Number *, MemorySpace::Default::kokkos_space >	co_shape_gradients
Kokkos::View< Number *, MemorySpace::Default::kokkos_space >	constraint_weights
std::shared_ptr< const Utilities::MPI::Partitioner >	partitioner
unsigned int	padding_length
std::vector< unsigned int >	row_start
const DoFHandler< dim > *	dof_handler
std::vector< std::vector< CellFilter > >	graph
std::atomic< unsigned int >	counter
std::map< std::string, unsigned int >	counter_map
std::vector< std::atomic< bool > * >	validity_pointers
const std::type_info *	object_info

Static Private Attributes
static std::mutex	mutex

Friends
class	internal::ReinitHelper< dim, Number >

Related Symbols
(Note that these are not member symbols.)
template<int dim, typename Number >
DataHost< dim, Number >	copy_mf_data_to_host (const typename::CUDAWrappers::MatrixFree< dim, Number >::Data &data, const UpdateFlags &update_flags)

Detailed Description

template<int dim, typename Number = double>
class CUDAWrappers::MatrixFree< dim, Number >

This class collects all the data that is stored for the matrix free implementation. The storage scheme is tailored towards several loops performed with the same data, i.e., typically doing many matrix-vector products or residual computations on the same mesh.

This class does not implement any operations involving finite element basis functions, i.e., regarding the operation performed on the cells. For these operations, the class FEEvaluation is designed to use the data collected in this class.

This class implements a loop over all cells (cell_loop()). This loop is scheduled in such a way that cells that share degrees of freedom are not worked on simultaneously, which implies that it is possible to write to vectors in parallel without having to explicitly synchronize access to these vectors and matrices. This class does not implement any shape values, all it does is to cache the respective data. To implement finite element operations, use the class CUDAWrappers::FEEvaluation.

This class traverse the cells in a different order than the usual Triangulation class in deal.II.

Note

Only float and double are supported.

Definition at line 94 of file cuda_matrix_free.h.

Member Typedef Documentation

jacobian_type

template<int dim, typename Number = double>

using CUDAWrappers::MatrixFree< dim, Number >::jacobian_type = Tensor<2, dim, Tensor<1, dim, Number> >

Definition at line 97 of file cuda_matrix_free.h.

point_type

template<int dim, typename Number = double>

using CUDAWrappers::MatrixFree< dim, Number >::point_type = Point<dim, Number>

Definition at line 98 of file cuda_matrix_free.h.

CellFilter

template<int dim, typename Number = double>

using CUDAWrappers::MatrixFree< dim, Number >::CellFilter = FilteredIterator<typename DoFHandler<dim>::active_cell_iterator>

Definition at line 99 of file cuda_matrix_free.h.

map_value_type

using Subscriptor::map_value_type = decltype(counter_map)::value_type

privateinherited

The data type used in counter_map.

Definition at line 230 of file subscriptor.h.

map_iterator

using Subscriptor::map_iterator = decltype(counter_map)::iterator

privateinherited

The iterator type used in counter_map.

Definition at line 235 of file subscriptor.h.

Constructor & Destructor Documentation

MatrixFree()

template<int dim, typename Number = double>

CUDAWrappers::MatrixFree< dim, Number >::MatrixFree

(

)

Default constructor.

Member Function Documentation

get_padding_length()

template<int dim, typename Number = double>

unsigned int CUDAWrappers::MatrixFree< dim, Number >::get_padding_length

(

)

const

Return the length of the padding.

reinit() [1/3]

template<int dim, typename Number = double>

template<typename IteratorFiltersType >

void CUDAWrappers::MatrixFree< dim, Number >::reinit	(	const Mapping< dim > &	mapping,
		const DoFHandler< dim > &	dof_handler,
		const AffineConstraints< Number > &	constraints,
		const Quadrature< 1 > &	quad,
		const IteratorFiltersType &	iterator_filter,
		const AdditionalData &	additional_data = AdditionalData()
	)

Extracts the information needed to perform loops over cells. The DoFHandler and AffineConstraints objects describe the layout of degrees of freedom, the DoFHandler and the mapping describe the transformation from unit to real cell, and the finite element underlying the DoFHandler together with the quadrature formula describe the local operations. This function takes an IteratorFilters object (predicate) to loop over a subset of the active cells. When using MPI, the predicate should filter out non locally owned cells.

reinit() [2/3]

template<int dim, typename Number = double>

void CUDAWrappers::MatrixFree< dim, Number >::reinit	(	const Mapping< dim > &	mapping,
		const DoFHandler< dim > &	dof_handler,
		const AffineConstraints< Number > &	constraints,
		const Quadrature< 1 > &	quad,
		const AdditionalData &	additional_data = AdditionalData()
	)

Same as above using Iterators::LocallyOwnedCell() as predicate.

reinit() [3/3]

template<int dim, typename Number = double>

void CUDAWrappers::MatrixFree< dim, Number >::reinit	(	const DoFHandler< dim > &	dof_handler,
		const AffineConstraints< Number > &	constraints,
		const Quadrature< 1 > &	quad,
		const AdditionalData &	additional_data = AdditionalData()
	)

Initializes the data structures. Same as above but using a Q1 mapping.

get_data()

template<int dim, typename Number = double>

Data CUDAWrappers::MatrixFree< dim, Number >::get_data

(

unsigned int

color

)

const

Return the Data structure associated with color.

cell_loop()

template<int dim, typename Number = double>

template<typename Functor , typename VectorType >

void CUDAWrappers::MatrixFree< dim, Number >::cell_loop	(	const Functor &	func,
		const VectorType &	src,
		VectorType &	dst
	)		const

This method runs the loop over all cells and apply the local operation on each element in parallel. func is a functor which is applied on each color.

func needs to define

DEAL_II_HOST_DEVICE void operator()(
  const unsigned int                                          cell,
  const typename CUDAWrappers::MatrixFree<dim, Number>::Data *gpu_data,
  CUDAWrappers::SharedData<dim, Number> *                     shared_data,
  const Number *                                              src,
  Number *                                                    dst) const;
  static const unsigned int n_dofs_1d;
  static const unsigned int n_local_dofs;
  static const unsigned int n_q_points;

evaluate_coefficients()

template<int dim, typename Number = double>

template<typename Functor >

void CUDAWrappers::MatrixFree< dim, Number >::evaluate_coefficients

(

Functor

func

)

const

This method runs the loop over all cells and apply the local operation on each element in parallel. This function is very similar to cell_loop() but it uses a simpler functor.

func needs to define

 DEAL_II_HOST_DEVICE void operator()(
   const unsigned int                                          cell,
   const typename CUDAWrappers::MatrixFree<dim, Number>::Data *gpu_data);
static const unsigned int n_dofs_1d;
static const unsigned int n_local_dofs;
static const unsigned int n_q_points;

copy_constrained_values()

template<int dim, typename Number = double>

template<typename VectorType >

void CUDAWrappers::MatrixFree< dim, Number >::copy_constrained_values	(	const VectorType &	src,
		VectorType &	dst
	)		const

Copy the values of the constrained entries from src to dst. This is used to impose zero Dirichlet boundary condition.

set_constrained_values()

template<int dim, typename Number = double>

template<typename VectorType >

void CUDAWrappers::MatrixFree< dim, Number >::set_constrained_values	(	const Number	val,
		VectorType &	dst
	)		const

Set the entries in dst corresponding to constrained values to val. The main purpose of this function is to set the constrained entries of the source vector used in cell_loop() to zero.

initialize_dof_vector() [1/2]

template<int dim, typename Number = double>

void CUDAWrappers::MatrixFree< dim, Number >::initialize_dof_vector

(

LinearAlgebra::CUDAWrappers::Vector< Number > &

vec

)

const

Initialize a serial vector. The size corresponds to the number of degrees of freedom in the DoFHandler object.

initialize_dof_vector() [2/2]

template<int dim, typename Number = double>

void CUDAWrappers::MatrixFree< dim, Number >::initialize_dof_vector

(

LinearAlgebra::distributed::Vector< Number, MemorySpace::Default > &

vec

)

const

Initialize a distributed vector. The local elements correspond to the locally owned degrees of freedom and the ghost elements correspond to the (additional) locally relevant dofs.

get_colored_graph()

template<int dim, typename Number = double>

const std::vector< std::vector< CellFilter > > & CUDAWrappers::MatrixFree< dim, Number >::get_colored_graph

(

)

const

Return the colored graph of locally owned active cells.

get_vector_partitioner()

template<int dim, typename Number = double>

const std::shared_ptr< const Utilities::MPI::Partitioner > & CUDAWrappers::MatrixFree< dim, Number >::get_vector_partitioner

(

)

const

Return the partitioner that represents the locally owned data and the ghost indices where access is needed to for the cell loop. The partitioner is constructed from the locally owned dofs and ghost dofs given by the respective fields. If you want to have specific information about these objects, you can query them with the respective access functions. If you just want to initialize a (parallel) vector, you should usually prefer this data structure as the data exchange information can be reused from one vector to another.

get_dof_handler()

template<int dim, typename Number = double>

const DoFHandler< dim > & CUDAWrappers::MatrixFree< dim, Number >::get_dof_handler

(

)

const

Return the DoFHandler.

memory_consumption()

template<int dim, typename Number = double>

std::size_t CUDAWrappers::MatrixFree< dim, Number >::memory_consumption

(

)

const

Return an approximation of the memory consumption of this class in bytes.

internal_reinit()

template<int dim, typename Number = double>

template<typename IteratorFiltersType >

void CUDAWrappers::MatrixFree< dim, Number >::internal_reinit ( const Mapping< dim > &  mapping, const DoFHandler< dim > &  dof_handler, const AffineConstraints< Number > &  constraints, const Quadrature< 1 > &  quad, const IteratorFiltersType &  iterator_filter, const std::shared_ptr< const MPI_Comm > &  comm, const AdditionalData  additional_data  )

private

Initializes the data structures.

serial_cell_loop()

template<int dim, typename Number = double>

template<typename Functor , typename VectorType >

void CUDAWrappers::MatrixFree< dim, Number >::serial_cell_loop ( const Functor &  func, const VectorType &  src, VectorType &  dst  ) const

private

Helper function. Loop over all the cells and apply the functor on each element in parallel. This function is used when MPI is not used.

distributed_cell_loop() [1/2]

template<int dim, typename Number = double>

template<typename Functor >

void CUDAWrappers::MatrixFree< dim, Number >::distributed_cell_loop ( const Functor &  func, const LinearAlgebra::distributed::Vector< Number, MemorySpace::Default > &  src, LinearAlgebra::distributed::Vector< Number, MemorySpace::Default > &  dst  ) const

private

Helper function. Loop over all the cells and apply the functor on each element in parallel. This function is used when MPI is used.

distributed_cell_loop() [2/2]

template<int dim, typename Number = double>

template<typename Functor >

void CUDAWrappers::MatrixFree< dim, Number >::distributed_cell_loop ( const Functor &  func, const LinearAlgebra::CUDAWrappers::Vector< Number > &  src, LinearAlgebra::CUDAWrappers::Vector< Number > &  dst  ) const

private

This function should never be called. Calling it results in an internal error. This function exists only because cell_loop needs distributed_cell_loop() to exist for LinearAlgebra::CUDAWrappers::Vector.

subscribe()

void Subscriptor::subscribe ( std::atomic< bool > *const  validity, const std::string &  identifier = ""  ) const

inherited

Subscribes a user of the object by storing the pointer validity. The subscriber may be identified by text supplied as identifier.

Definition at line 136 of file subscriptor.cc.

unsubscribe()

void Subscriptor::unsubscribe ( std::atomic< bool > *const  validity, const std::string &  identifier = ""  ) const

inherited

Unsubscribes a user from the object.

Note

The identifier and the validity pointer must be the same as the one supplied to subscribe().

Definition at line 156 of file subscriptor.cc.

n_subscriptions()

unsigned int Subscriptor::n_subscriptions ( ) const

inlineinherited

Return the present number of subscriptions to this object. This allows to use this class for reference counted lifetime determination where the last one to unsubscribe also deletes the object.

Definition at line 300 of file subscriptor.h.

list_subscribers() [1/2]

template<typename StreamType >

void Subscriptor::list_subscribers ( StreamType &  stream ) const

inlineinherited

List the subscribers to the input stream.

Definition at line 317 of file subscriptor.h.

list_subscribers() [2/2]

void Subscriptor::list_subscribers ( ) const

inherited

List the subscribers to deallog.

Definition at line 204 of file subscriptor.cc.

serialize()

template<class Archive >

void Subscriptor::serialize ( Archive &  ar, const unsigned int  version  )

inlineinherited

Read or write the data of this object to or from a stream for the purpose of serialization using the BOOST serialization library.

This function does not actually serialize any of the member variables of this class. The reason is that what this class stores is only who subscribes to this object, but who does so at the time of storing the contents of this object does not necessarily have anything to do with who subscribes to the object when it is restored. Consequently, we do not want to overwrite the subscribers at the time of restoring, and then there is no reason to write the subscribers out in the first place.

Definition at line 309 of file subscriptor.h.

check_no_subscribers()

void Subscriptor::check_no_subscribers ( ) const

privatenoexceptinherited

Check that there are no objects subscribing to this object. If this check passes then it is safe to destroy the current object. It this check fails then this function will either abort or print an error message to deallog (by using the AssertNothrow mechanism), but will not throw an exception.

Note

Since this function is just a consistency check it does nothing in release mode.

If this function is called when there is an uncaught exception then, rather than aborting, this function prints an error message to the standard error stream and returns.

Definition at line 53 of file subscriptor.cc.

Friends And Related Symbol Documentation

internal::ReinitHelper< dim, Number >

template<int dim, typename Number = double>

friend class internal::ReinitHelper< dim, Number >

friend

Definition at line 625 of file cuda_matrix_free.h.

copy_mf_data_to_host()

template<int dim, typename Number >

DataHost< dim, Number > copy_mf_data_to_host ( const typename ::CUDAWrappers::MatrixFree< dim, Number >::Data &  data, const UpdateFlags &  update_flags  )

related

Copy data from the device to the host. update_flags should be identical to the one used in MatrixFree::AdditionalData.

Definition at line 773 of file cuda_matrix_free.h.

Member Data Documentation

my_id

template<int dim, typename Number = double>

int CUDAWrappers::MatrixFree< dim, Number >::my_id

private

Unique ID associated with the object.

Definition at line 483 of file cuda_matrix_free.h.

use_coloring

template<int dim, typename Number = double>

bool CUDAWrappers::MatrixFree< dim, Number >::use_coloring

private

If true, use graph coloring. Otherwise, use atomic operations. Graph coloring ensures bitwise reproducibility but is slower on Pascal and newer architectures.

Definition at line 490 of file cuda_matrix_free.h.

overlap_communication_computation

template<int dim, typename Number = double>

bool CUDAWrappers::MatrixFree< dim, Number >::overlap_communication_computation

private

Overlap MPI communications with computation. This requires CUDA-aware MPI and use_coloring must be false.

Definition at line 496 of file cuda_matrix_free.h.

n_dofs

template<int dim, typename Number = double>

types::global_dof_index CUDAWrappers::MatrixFree< dim, Number >::n_dofs

private

Total number of degrees of freedom.

Definition at line 501 of file cuda_matrix_free.h.

fe_degree

template<int dim, typename Number = double>

unsigned int CUDAWrappers::MatrixFree< dim, Number >::fe_degree

private

Degree of the finite element used.

Definition at line 506 of file cuda_matrix_free.h.

dofs_per_cell

template<int dim, typename Number = double>

unsigned int CUDAWrappers::MatrixFree< dim, Number >::dofs_per_cell

private

Number of degrees of freedom per cell.

Definition at line 511 of file cuda_matrix_free.h.

n_constrained_dofs

template<int dim, typename Number = double>

unsigned int CUDAWrappers::MatrixFree< dim, Number >::n_constrained_dofs

private

Number of constrained degrees of freedom.

Definition at line 516 of file cuda_matrix_free.h.

q_points_per_cell

template<int dim, typename Number = double>

unsigned int CUDAWrappers::MatrixFree< dim, Number >::q_points_per_cell

private

Number of quadrature points per cells.

Definition at line 521 of file cuda_matrix_free.h.

n_colors

template<int dim, typename Number = double>

unsigned int CUDAWrappers::MatrixFree< dim, Number >::n_colors

private

Number of colors produced by the graph coloring algorithm.

Definition at line 526 of file cuda_matrix_free.h.

n_cells

template<int dim, typename Number = double>

std::vector<unsigned int> CUDAWrappers::MatrixFree< dim, Number >::n_cells

private

Number of cells in each color.

Definition at line 531 of file cuda_matrix_free.h.

q_points

template<int dim, typename Number = double>

std::vector<Kokkos::View<point_type **, MemorySpace::Default::kokkos_space> > CUDAWrappers::MatrixFree< dim, Number >::q_points

private

Vector of Kokkos::View to the quadrature points associated to the cells of each color.

Definition at line 538 of file cuda_matrix_free.h.

local_to_global

template<int dim, typename Number = double>

std::vector<Kokkos::View<types::global_dof_index **, MemorySpace::Default::kokkos_space> > CUDAWrappers::MatrixFree< dim, Number >::local_to_global

private

Map the position in the local vector to the position in the global vector.

Definition at line 546 of file cuda_matrix_free.h.

inv_jacobian

template<int dim, typename Number = double>

std::vector< Kokkos::View<Number **[dim][dim], MemorySpace::Default::kokkos_space> > CUDAWrappers::MatrixFree< dim, Number >::inv_jacobian

private

Vector of Kokkos::View of the inverse Jacobian associated to the cells of each color.

Definition at line 554 of file cuda_matrix_free.h.

JxW

template<int dim, typename Number = double>

std::vector<Kokkos::View<Number **, MemorySpace::Default::kokkos_space> > CUDAWrappers::MatrixFree< dim, Number >::JxW

private

Vector of Kokkos::View to the Jacobian times the weights associated to the cells of each color.

Definition at line 561 of file cuda_matrix_free.h.

constrained_dofs

template<int dim, typename Number = double>

Kokkos::View<types::global_dof_index *, MemorySpace::Default::kokkos_space> CUDAWrappers::MatrixFree< dim, Number >::constrained_dofs

private

Kokkos::View to the constrained degrees of freedom.

Definition at line 567 of file cuda_matrix_free.h.

constraint_mask

template<int dim, typename Number = double>

std::vector< Kokkos::View<::internal::MatrixFreeFunctions::ConstraintKinds *, MemorySpace::Default::kokkos_space> > CUDAWrappers::MatrixFree< dim, Number >::constraint_mask

private

Mask deciding where constraints are set on a given cell.

Definition at line 575 of file cuda_matrix_free.h.

shape_values

template<int dim, typename Number = double>

Kokkos::View<Number *, MemorySpace::Default::kokkos_space> CUDAWrappers::MatrixFree< dim, Number >::shape_values

private

Values of the shape functions.

Definition at line 580 of file cuda_matrix_free.h.

shape_gradients

template<int dim, typename Number = double>

Kokkos::View<Number *, MemorySpace::Default::kokkos_space> CUDAWrappers::MatrixFree< dim, Number >::shape_gradients

private

Gradients of the shape functions.

Definition at line 585 of file cuda_matrix_free.h.

co_shape_gradients

template<int dim, typename Number = double>

Kokkos::View<Number *, MemorySpace::Default::kokkos_space> CUDAWrappers::MatrixFree< dim, Number >::co_shape_gradients

private

Gradients of the shape functions for collocation methods.

Definition at line 591 of file cuda_matrix_free.h.

constraint_weights

template<int dim, typename Number = double>

Kokkos::View<Number *, MemorySpace::Default::kokkos_space> CUDAWrappers::MatrixFree< dim, Number >::constraint_weights

private

Weights used when resolving hanginf nodes.

Definition at line 597 of file cuda_matrix_free.h.

partitioner

template<int dim, typename Number = double>

std::shared_ptr<const Utilities::MPI::Partitioner> CUDAWrappers::MatrixFree< dim, Number >::partitioner

private

Shared pointer to a Partitioner for distributed Vectors used in cell_loop. When MPI is not used the pointer is null.

Definition at line 603 of file cuda_matrix_free.h.

padding_length

template<int dim, typename Number = double>

unsigned int CUDAWrappers::MatrixFree< dim, Number >::padding_length

private

Length of the padding (closest power of two larger than or equal to the number of thread).

Definition at line 610 of file cuda_matrix_free.h.

row_start

template<int dim, typename Number = double>

std::vector<unsigned int> CUDAWrappers::MatrixFree< dim, Number >::row_start

private

Row start of each color.

Definition at line 615 of file cuda_matrix_free.h.

dof_handler

template<int dim, typename Number = double>

const DoFHandler<dim>* CUDAWrappers::MatrixFree< dim, Number >::dof_handler

private

Pointer to the DoFHandler associated with the object.

Definition at line 620 of file cuda_matrix_free.h.

graph

template<int dim, typename Number = double>

std::vector<std::vector<CellFilter> > CUDAWrappers::MatrixFree< dim, Number >::graph

private

Colored graphed of locally owned active cells.

Definition at line 625 of file cuda_matrix_free.h.

counter

std::atomic<unsigned int> Subscriptor::counter

mutableprivateinherited

Store the number of objects which subscribed to this object. Initially, this number is zero, and upon destruction it shall be zero again (i.e. all objects which subscribed should have unsubscribed again).

The creator (and owner) of an object is counted in the map below if HE manages to supply identification.

We use the mutable keyword in order to allow subscription to constant objects also.

This counter may be read from and written to concurrently in multithreaded code: hence we use the std::atomic class template.

Definition at line 219 of file subscriptor.h.

counter_map

std::map<std::string, unsigned int> Subscriptor::counter_map

mutableprivateinherited

In this map, we count subscriptions for each different identification string supplied to subscribe().

Definition at line 225 of file subscriptor.h.

validity_pointers

std::vector<std::atomic<bool> *> Subscriptor::validity_pointers

mutableprivateinherited

In this vector, we store pointers to the validity bool in the SmartPointer objects that subscribe to this class.

Definition at line 241 of file subscriptor.h.

object_info

const std::type_info* Subscriptor::object_info

mutableprivateinherited

Pointer to the typeinfo object of this object, from which we can later deduce the class name. Since this information on the derived class is neither available in the destructor, nor in the constructor, we obtain it in between and store it here.

Definition at line 249 of file subscriptor.h.

mutex

std::mutex Subscriptor::mutex

staticprivateinherited

A mutex used to ensure data consistency when printing out the list of subscribers.

Definition at line 271 of file subscriptor.h.

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

• include/deal.II/matrix_free/cuda_matrix_free.h