#include <deal.II/lac/trilinos_tpetra_vector.h>

Inheritance diagram for LinearAlgebra::TpetraWrappers::Vector< Number >:

Public Types
using	value_type = Number

using	size_type = typename VectorSpaceVector< Number >::size_type

using	real_type = typename numbers::NumberTraits< Number >::real_type

Public Member Functions
	Vector ()

	Vector (const Vector &V)

	Vector (const IndexSet &parallel_partitioner, const MPI_Comm &communicator)

void	reinit (const IndexSet &parallel_partitioner, const MPI_Comm &communicator, const bool omit_zeroing_entries=false)

virtual void	reinit (const VectorSpaceVector< Number > &V, const bool omit_zeroing_entries=false) override

Vector &	operator= (const Vector &V)

virtual Vector &	operator= (const Number s) override

virtual void	import (const ReadWriteVector< Number > &V, VectorOperation::values operation, std::shared_ptr< const Utilities::MPI::CommunicationPatternBase > communication_pattern={}) override

virtual Vector &	operator*= (const Number factor) override

virtual Vector &	operator/= (const Number factor) override

virtual Vector &	operator+= (const VectorSpaceVector< Number > &V) override

virtual Vector &	operator-= (const VectorSpaceVector< Number > &V) override

virtual Number	operator* (const VectorSpaceVector< Number > &V) const override

virtual void	add (const Number a) override

virtual void	add (const Number a, const VectorSpaceVector< Number > &V) override

virtual void	add (const Number a, const VectorSpaceVector< Number > &V, const Number b, const VectorSpaceVector< Number > &W) override

virtual void	sadd (const Number s, const Number a, const VectorSpaceVector< Number > &V) override

virtual void	scale (const VectorSpaceVector< Number > &scaling_factors) override

virtual void	equ (const Number a, const VectorSpaceVector< Number > &V) override

virtual bool	all_zero () const override

virtual Number	mean_value () const override

virtual LinearAlgebra::VectorSpaceVector< Number >::real_type	l1_norm () const override

virtual LinearAlgebra::VectorSpaceVector< Number >::real_type	l2_norm () const override

virtual LinearAlgebra::VectorSpaceVector< Number >::real_type	linfty_norm () const override

virtual Number	add_and_dot (const Number a, const VectorSpaceVector< Number > &V, const VectorSpaceVector< Number > &W) override

bool	has_ghost_elements () const

virtual size_type	size () const override

size_type	locally_owned_size () const

MPI_Comm	get_mpi_communicator () const

virtual ::IndexSet	locally_owned_elements () const override

const Tpetra::Vector< Number, int, types::global_dof_index > &	trilinos_vector () const

Tpetra::Vector< Number, int, types::global_dof_index > &	trilinos_vector ()

virtual void	print (std::ostream &out, const unsigned int precision=3, const bool scientific=true, const bool across=true) const override

virtual std::size_t	memory_consumption () const override

virtual void	compress (VectorOperation::values)

Static Public Member Functions
static ::ExceptionBase &	ExcDifferentParallelPartitioning ()

static ::ExceptionBase &	ExcVectorTypeNotCompatible ()

static ::ExceptionBase &	ExcTrilinosError (int arg1)

Private Member Functions
void	create_tpetra_comm_pattern (const IndexSet &source_index_set, const MPI_Comm &mpi_comm)

Private Attributes
std::unique_ptr< Tpetra::Vector< Number, int, types::global_dof_index > >	vector

::IndexSet	source_stored_elements

std::shared_ptr< const TpetraWrappers::CommunicationPattern >	tpetra_comm_pattern

Subscriptor functionality
Classes derived from Subscriptor provide a facility to subscribe to this object. This is mostly used by the SmartPointer class.
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

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

template<class Archive >
void	serialize (Archive &ar, const unsigned int version)

static ::ExceptionBase &	ExcInUse (int arg1, std::string arg2, std::string arg3)

static ::ExceptionBase &	ExcNoSubscriber (std::string arg1, std::string arg2)

void	check_no_subscribers () const noexcept

using	map_value_type = decltype(counter_map)::value_type

using	map_iterator = decltype(counter_map)::iterator

static std::mutex	mutex

Detailed Description

template<typename Number>
class LinearAlgebra::TpetraWrappers::Vector< Number >

This class implements a wrapper to the Trilinos distributed vector class Tpetra::Vector. This class is derived from the LinearAlgebra::VectorSpaceVector class and requires Trilinos to be compiled with MPI support.

Tpetra uses Kokkos for thread-parallelism and chooses the execution and memory space automatically depending on Kokkos configuration. The priority is ranked from highest to lowest:

Kokkos::Cuda
Kokkos::OpenMP
Kokkos::Threads
Kokkos::Serial

In case Kokkos was configured with CUDA support, this class stores the values in unified virtual memory space and performs its action on the GPU. In particular, there is no need for manually synchronizing memory between host and device.

Definition at line 83 of file trilinos_tpetra_vector.h.

Member Typedef Documentation

◆ value_type

template<typename Number >

using LinearAlgebra::TpetraWrappers::Vector< Number >::value_type = Number

Definition at line 86 of file trilinos_tpetra_vector.h.

◆ size_type

template<typename Number >

using LinearAlgebra::TpetraWrappers::Vector< Number >::size_type = typename VectorSpaceVector<Number>::size_type

Definition at line 88 of file trilinos_tpetra_vector.h.

Constructor & Destructor Documentation

◆ Vector() [1/3]

template<typename Number >

LinearAlgebra::TpetraWrappers::Vector< Number >::Vector ( )

Constructor. Create a vector of dimension zero.

◆ Vector() [2/3]

template<typename Number >

LinearAlgebra::TpetraWrappers::Vector< Number >::Vector ( const Vector< Number > & V )

Copy constructor. Sets the dimension and the partitioning to that of the given vector and copies all elements.

◆ Vector() [3/3]

template<typename Number >

LinearAlgebra::TpetraWrappers::Vector< Number >::Vector	(	const IndexSet &	parallel_partitioner,
		const MPI_Comm &	communicator
	)

explicit

This constructor takes an IndexSet that defines how to distribute the individual components among the MPI processors. Since it also includes information about the size of the vector, this is all we need to generate a parallel vector.

Member Function Documentation

◆ reinit() [1/2]

template<typename Number >

void LinearAlgebra::TpetraWrappers::Vector< Number >::reinit	(	const IndexSet &	parallel_partitioner,
		const MPI_Comm &	communicator,
		const bool	omit_zeroing_entries = `false`
	)

Reinit functionality. This function destroys the old vector content and generates a new one based on the input partitioning. The flag omit_zeroing_entries determines whether the vector should be filled with zero (false) or left untouched (true).

◆ reinit() [2/2]

template<typename Number >

virtual void LinearAlgebra::TpetraWrappers::Vector< Number >::reinit	(	const VectorSpaceVector< Number > &	V,
		const bool	omit_zeroing_entries = `false`
	)

overridevirtual

Change the dimension to that of the vector V. The elements of V are not copied.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ operator=() [1/2]

template<typename Number >

Vector & LinearAlgebra::TpetraWrappers::Vector< Number >::operator= ( const Vector< Number > & V )

Copy function. This function takes a Vector and copies all the elements. The Vector will have the same parallel distribution as V.

◆ operator=() [2/2]

template<typename Number >

virtual Vector & LinearAlgebra::TpetraWrappers::Vector< Number >::operator= ( const Number s )

overridevirtual

Sets all elements of the vector to the scalar s. This operation is only allowed if s is equal to zero.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ import()

template<typename Number >

virtual void LinearAlgebra::TpetraWrappers::Vector< Number >::import	(	const ReadWriteVector< Number > &	V,
		VectorOperation::values	operation,
		std::shared_ptr< const Utilities::MPI::CommunicationPatternBase >	communication_pattern = `{}`
	)

overridevirtual

Imports all the elements present in the vector's IndexSet from the input vector V. VectorOperation::values operation is used to decide if the elements in V should be added to the current vector or replace the current elements. The last parameter can be used if the same communication pattern is used multiple times. This can be used to improve performance.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ operator*=()

template<typename Number >

virtual Vector & LinearAlgebra::TpetraWrappers::Vector< Number >::operator*= ( const Number factor )

overridevirtual

Multiply the entire vector by a fixed factor.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ operator/=()

template<typename Number >

virtual Vector & LinearAlgebra::TpetraWrappers::Vector< Number >::operator/= ( const Number factor )

overridevirtual

Divide the entire vector by a fixed factor.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ operator+=()

template<typename Number >

virtual Vector & LinearAlgebra::TpetraWrappers::Vector< Number >::operator+= ( const VectorSpaceVector< Number > & V )

overridevirtual

Add the vector V to the present one.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ operator-=()

template<typename Number >

virtual Vector & LinearAlgebra::TpetraWrappers::Vector< Number >::operator-= ( const VectorSpaceVector< Number > & V )

overridevirtual

Subtract the vector V from the present one.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ operator*()

template<typename Number >

virtual Number LinearAlgebra::TpetraWrappers::Vector< Number >::operator* ( const VectorSpaceVector< Number > & V ) const

overridevirtual

Return the scalar product of two vectors. The vectors need to have the same layout.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ add() [1/3]

template<typename Number >

virtual void LinearAlgebra::TpetraWrappers::Vector< Number >::add ( const Number a )

overridevirtual

Add a to all components. Note that is a scalar not a vector.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ add() [2/3]

template<typename Number >

virtual void LinearAlgebra::TpetraWrappers::Vector< Number >::add	(	const Number	a,
		const VectorSpaceVector< Number > &	V
	)

overridevirtual

Simple addition of a multiple of a vector, i.e. *this += a*V. The vectors need to have the same layout.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ add() [3/3]

template<typename Number >

virtual void LinearAlgebra::TpetraWrappers::Vector< Number >::add	(	const Number	a,
		const VectorSpaceVector< Number > &	V,
		const Number	b,
		const VectorSpaceVector< Number > &	W
	)

overridevirtual

Multiple addition of multiple of a vector, i.e. *this> += a*V+b*W. The vectors need to have the same layout.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ sadd()

template<typename Number >

virtual void LinearAlgebra::TpetraWrappers::Vector< Number >::sadd	(	const Number	s,
		const Number	a,
		const VectorSpaceVector< Number > &	V
	)

overridevirtual

Scaling and simple addition of a multiple of a vector, i.e. this = s(*this)+a*V.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ scale()

template<typename Number >

virtual void LinearAlgebra::TpetraWrappers::Vector< Number >::scale ( const VectorSpaceVector< Number > & scaling_factors )

overridevirtual

Scale each element of this vector by the corresponding element in the argument. This function is mostly meant to simulate multiplication (and immediate re-assignment) by a diagonal scaling matrix. The vectors need to have the same layout.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ equ()

template<typename Number >

virtual void LinearAlgebra::TpetraWrappers::Vector< Number >::equ	(	const Number	a,
		const VectorSpaceVector< Number > &	V
	)

overridevirtual

Assignment *this = a*V.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ all_zero()

template<typename Number >

virtual bool LinearAlgebra::TpetraWrappers::Vector< Number >::all_zero ( ) const

overridevirtual

Return whether the vector contains only elements with value zero.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ mean_value()

template<typename Number >

virtual Number LinearAlgebra::TpetraWrappers::Vector< Number >::mean_value ( ) const

overridevirtual

Return the mean value of the element of this vector.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ l1_norm()

template<typename Number >

virtual LinearAlgebra::VectorSpaceVector< Number >::real_type LinearAlgebra::TpetraWrappers::Vector< Number >::l1_norm ( ) const

overridevirtual

Return the l₁ norm of the vector (i.e., the sum of the absolute values of all entries among all processors).

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ l2_norm()

template<typename Number >

virtual LinearAlgebra::VectorSpaceVector< Number >::real_type LinearAlgebra::TpetraWrappers::Vector< Number >::l2_norm ( ) const

overridevirtual

Return the l₂ norm of the vector (i.e., the square root of the sum of the square of all entries among all processors).

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ linfty_norm()

template<typename Number >

virtual LinearAlgebra::VectorSpaceVector< Number >::real_type LinearAlgebra::TpetraWrappers::Vector< Number >::linfty_norm ( ) const

overridevirtual

Return the maximum norm of the vector (i.e., the maximum absolute value among all entries and among all processors).

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ add_and_dot()

template<typename Number >

virtual Number LinearAlgebra::TpetraWrappers::Vector< Number >::add_and_dot	(	const Number	a,
		const VectorSpaceVector< Number > &	V,
		const VectorSpaceVector< Number > &	W
	)

overridevirtual

Performs a combined operation of a vector addition and a subsequent inner product, returning the value of the inner product. In other words, the result of this function is the same as if the user called

this->add(a, V);

return_value = *this * W;

LinearAlgebra::TpetraWrappers::Vector::add

virtual void add(const Number a) override

LAPACKSupport::V

static const char V

Definition: lapack_support.h:177

The reason this function exists is that this operation involves less memory transfer than calling the two functions separately. This method only needs to load three vectors, this, V, W, whereas calling separate methods means to load the calling vector this twice. Since most vector operations are memory transfer limited, this reduces the time by 25% (or 50% if W equals this).

The vectors need to have the same layout.

For complex-valued vectors, the scalar product in the second step is implemented as \(\left<v,w\right>=\sum_i v_i \bar{w_i}\).

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ has_ghost_elements()

template<typename Number >

bool Vector< Number >::has_ghost_elements

inline

This function always returns false and is present only for backward compatibility.

Definition at line 420 of file trilinos_tpetra_vector.h.

◆ size()

template<typename Number >

virtual size_type LinearAlgebra::TpetraWrappers::Vector< Number >::size ( ) const

overridevirtual

Return the global size of the vector, equal to the sum of the number of locally owned indices among all processors.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ locally_owned_size()

template<typename Number >

size_type LinearAlgebra::TpetraWrappers::Vector< Number >::locally_owned_size ( ) const

Return the local size of the vector, i.e., the number of indices owned locally.

◆ get_mpi_communicator()

template<typename Number >

MPI_Comm LinearAlgebra::TpetraWrappers::Vector< Number >::get_mpi_communicator ( ) const

Return the MPI communicator object in use with this object.

◆ locally_owned_elements()

template<typename Number >

virtual ::IndexSet LinearAlgebra::TpetraWrappers::Vector< Number >::locally_owned_elements ( ) const

overridevirtual

Return an index set that describes which elements of this vector are owned by the current processor. As a consequence, the index sets returned on different processors if this is a distributed vector will form disjoint sets that add up to the complete index set. Obviously, if a vector is created on only one processor, then the result would satisfy

vec.locally_owned_elements() == complete_index_set(vec.size())

complete_index_set

IndexSet complete_index_set(const IndexSet::size_type N)

Definition: index_set.h:1013

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ trilinos_vector() [1/2]

template<typename Number >

const Tpetra::Vector< Number, int, types::global_dof_index > & LinearAlgebra::TpetraWrappers::Vector< Number >::trilinos_vector ( ) const

Return a const reference to the underlying Trilinos Tpetra::Vector class.

◆ trilinos_vector() [2/2]

template<typename Number >

Tpetra::Vector< Number, int, types::global_dof_index > & LinearAlgebra::TpetraWrappers::Vector< Number >::trilinos_vector ( )

Return a (modifiable) reference to the underlying Trilinos Tpetra::Vector class.

◆ print()

template<typename Number >

virtual void LinearAlgebra::TpetraWrappers::Vector< Number >::print	(	std::ostream &	out,
		const unsigned int	precision = `3`,
		const bool	scientific = `true`,
		const bool	across = `true`
	)		const

overridevirtual

Prints the vector to the output stream out.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ memory_consumption()

template<typename Number >

virtual std::size_t LinearAlgebra::TpetraWrappers::Vector< Number >::memory_consumption ( ) const

overridevirtual

Return the memory consumption of this class in bytes.

Implements LinearAlgebra::VectorSpaceVector< Number >.

◆ create_tpetra_comm_pattern()

template<typename Number >

void LinearAlgebra::TpetraWrappers::Vector< Number >::create_tpetra_comm_pattern	(	const IndexSet &	source_index_set,
		const MPI_Comm &	mpi_comm
	)

private

Create the CommunicationPattern for the communication between the IndexSet source_index_set and the current vector based on the communicator mpi_comm.

Member Data Documentation

◆ vector

template<typename Number >

std::unique_ptr<Tpetra::Vector<Number, int, types::global_dof_index> > LinearAlgebra::TpetraWrappers::Vector< Number >::vector

private

Pointer to the actual Tpetra vector object.

Definition at line 402 of file trilinos_tpetra_vector.h.

◆ source_stored_elements

template<typename Number >

::IndexSet LinearAlgebra::TpetraWrappers::Vector< Number >::source_stored_elements

private

IndexSet of the elements of the last imported vector.

Definition at line 407 of file trilinos_tpetra_vector.h.

◆ tpetra_comm_pattern

template<typename Number >

std::shared_ptr<const TpetraWrappers::CommunicationPattern> LinearAlgebra::TpetraWrappers::Vector< Number >::tpetra_comm_pattern

private

CommunicationPattern for the communication between the source_stored_elements IndexSet and the current vector.

Definition at line 414 of file trilinos_tpetra_vector.h.

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

include/deal.II/lac/trilinos_tpetra_vector.h

Public Types

Public Member Functions

Static Public Member Functions

Private Member Functions

Private Attributes

Subscriptor functionality

Detailed Description

Member Typedef Documentation

◆ value_type

◆ size_type

Constructor & Destructor Documentation

◆ Vector() [1/3]

◆ Vector() [2/3]

◆ Vector() [3/3]

Member Function Documentation

◆ reinit() [1/2]

◆ reinit() [2/2]

◆ operator=() [1/2]

◆ operator=() [2/2]

◆ import()

◆ operator*=()

◆ operator/=()

◆ operator+=()

◆ operator-=()

◆ operator*()

◆ add() [1/3]

◆ add() [2/3]

◆ add() [3/3]

◆ sadd()

◆ scale()

◆ equ()

◆ all_zero()

◆ mean_value()

◆ l1_norm()

◆ l2_norm()

◆ linfty_norm()

◆ add_and_dot()

◆ has_ghost_elements()

◆ size()

◆ locally_owned_size()

◆ get_mpi_communicator()

◆ locally_owned_elements()

◆ trilinos_vector() [1/2]

◆ trilinos_vector() [2/2]

◆ print()

◆ memory_consumption()

◆ create_tpetra_comm_pattern()

Member Data Documentation

◆ vector

◆ source_stored_elements

◆ tpetra_comm_pattern