#include <CSRLocalMatrixOperationsDevice.h>

Public Types
using	allocator_type = typename Config::allocator_type

using	gidx_t = typename Config::gidx_t

using	lidx_t = typename Config::lidx_t

using	scalar_t = typename Config::scalar_t

Static Public Member Functions
static void	axpy (scalar_t alpha, std::shared_ptr< LocalMatrixData > X, std::shared_ptr< LocalMatrixData > Y)
	Compute the linear combination of two matrices.

static void	copy (std::shared_ptr< const LocalMatrixData > X, std::shared_ptr< LocalMatrixData > Y)
	Set this matrix with the same non-zero and distributed structure as x and copy the coefficients.

template<typename ConfigIn >
static void	copyCast (std::shared_ptr< CSRLocalMatrixData< typename ConfigIn::template set_alloc_t< Config::allocator > > > X, std::shared_ptr< LocalMatrixData > Y)
	Set Y matrix with the same non-zero and distributed structure as X and copy the coefficients after up/down casting.

static void	extractDiagonal (std::shared_ptr< LocalMatrixData > A, scalar_t *buf)
	Extract the diagonal values into a vector.

static void	LinfNorm (std::shared_ptr< LocalMatrixData > A, scalar_t *rowSums)
	Compute the maximum row sum.

static void	mult (const scalar_t in, std::shared_ptr< LocalMatrixData > A, scalar_t out)
	Matrix-vector multiplication.

static void	multTranspose (const scalar_t *in, std::shared_ptr< LocalMatrixData > A, std::vector< scalar_t > &vvals, std::vector< size_t > &rcols)
	Matrix transpose-vector multiplication.

static void	scale (scalar_t alpha, std::shared_ptr< LocalMatrixData > A)
	Scale the matrix by a scalar.

static void	setDiagonal (const scalar_t *in, std::shared_ptr< LocalMatrixData > A)
	Set the diagonal to the values in a vector.

static void	setIdentity (std::shared_ptr< LocalMatrixData > A)
	Set the matrix to the identity matrix.

static void	setScalar (scalar_t alpha, std::shared_ptr< LocalMatrixData > A)
	Set the non-zeros of the matrix to a scalar.

static void	zero (std::shared_ptr< LocalMatrixData > A)
	Set the non-zeros of the matrix to zero.

Detailed Description

template<typename Config, typename LocalMatrixData = CSRLocalMatrixData<Config>>
class AMP::LinearAlgebra::CSRLocalMatrixOperationsDevice< Config, LocalMatrixData >

Definition at line 7 of file CSRLocalMatrixOperationsDevice.h.

Member Typedef Documentation

◆ allocator_type

template<typename Config , typename LocalMatrixData = CSRLocalMatrixData<Config>>

using AMP::LinearAlgebra::CSRLocalMatrixOperationsDevice< Config, LocalMatrixData >::allocator_type = typename Config::allocator_type

Definition at line 13 of file CSRLocalMatrixOperationsDevice.h.

◆ gidx_t

template<typename Config , typename LocalMatrixData = CSRLocalMatrixData<Config>>

using AMP::LinearAlgebra::CSRLocalMatrixOperationsDevice< Config, LocalMatrixData >::gidx_t = typename Config::gidx_t

Definition at line 10 of file CSRLocalMatrixOperationsDevice.h.

◆ lidx_t

template<typename Config , typename LocalMatrixData = CSRLocalMatrixData<Config>>

using AMP::LinearAlgebra::CSRLocalMatrixOperationsDevice< Config, LocalMatrixData >::lidx_t = typename Config::lidx_t

Definition at line 11 of file CSRLocalMatrixOperationsDevice.h.

◆ scalar_t

template<typename Config , typename LocalMatrixData = CSRLocalMatrixData<Config>>

using AMP::LinearAlgebra::CSRLocalMatrixOperationsDevice< Config, LocalMatrixData >::scalar_t = typename Config::scalar_t

Definition at line 12 of file CSRLocalMatrixOperationsDevice.h.

Member Function Documentation

◆ axpy()

template<typename Config , typename LocalMatrixData = CSRLocalMatrixData<Config>>

static void AMP::LinearAlgebra::CSRLocalMatrixOperationsDevice< Config, LocalMatrixData >::axpy	(	scalar_t	alpha,
		std::shared_ptr< LocalMatrixData >	X,
		std::shared_ptr< LocalMatrixData >	Y
	)

static

Compute the linear combination of two matrices.

Parameters

[in]	alpha	scalar
[in]	X	Other matrix
[out]	Y	The output matrix

Compute \(\mathbf{Y} = \alpha\mathbf{X} + \mathbf{Y}\)

◆ copy()

template<typename Config , typename LocalMatrixData = CSRLocalMatrixData<Config>>

static void AMP::LinearAlgebra::CSRLocalMatrixOperationsDevice< Config, LocalMatrixData >::copy	(	std::shared_ptr< const LocalMatrixData >	X,
		std::shared_ptr< LocalMatrixData >	Y
	)

static

Set this matrix with the same non-zero and distributed structure as x and copy the coefficients.

Parameters

[in]	X	matrix data to copy from
[in]	Y	matrix data to copy to

◆ copyCast()

template<typename Config , typename LocalMatrixData = CSRLocalMatrixData<Config>>

template<typename ConfigIn >

static void AMP::LinearAlgebra::CSRLocalMatrixOperationsDevice< Config, LocalMatrixData >::copyCast	(	std::shared_ptr< CSRLocalMatrixData< typename ConfigIn::template set_alloc_t< Config::allocator > > >	X,
		std::shared_ptr< LocalMatrixData >	Y
	)

static

Set Y matrix with the same non-zero and distributed structure as X and copy the coefficients after up/down casting.

Parameters

[in]	X	matrix data to copy from
[in]	Y	matrix data to copy to after up/down casting the coefficients

◆ extractDiagonal()

template<typename Config , typename LocalMatrixData = CSRLocalMatrixData<Config>>

static void AMP::LinearAlgebra::CSRLocalMatrixOperationsDevice< Config, LocalMatrixData >::extractDiagonal	(	std::shared_ptr< LocalMatrixData >	A,
		scalar_t *	buf
	)

static

Extract the diagonal values into a vector.

Parameters

[in]	A	The matrix to read from
[out]	buf	Buffer to write diagonal into

◆ LinfNorm()

template<typename Config , typename LocalMatrixData = CSRLocalMatrixData<Config>>

static void AMP::LinearAlgebra::CSRLocalMatrixOperationsDevice< Config, LocalMatrixData >::LinfNorm	(	std::shared_ptr< LocalMatrixData >	A,
		scalar_t *	rowSums
	)

static

Compute the maximum row sum.

Parameters

[in]	A	Data for the input matrix
[out]	rowSums	L-infinity norm of the matrix

◆ mult()

template<typename Config , typename LocalMatrixData = CSRLocalMatrixData<Config>>

static void AMP::LinearAlgebra::CSRLocalMatrixOperationsDevice< Config, LocalMatrixData >::mult	(	const scalar_t *	in,
		std::shared_ptr< LocalMatrixData >	A,
		scalar_t *	out
	)

static

Matrix-vector multiplication.

Parameters

[in]	in	The vector to multiply
[in]	A	The input matrix A
[out]	out	The resulting vector

Compute \(\mathbf{Ax} = \mathbf{y}\).

◆ multTranspose()

template<typename Config , typename LocalMatrixData = CSRLocalMatrixData<Config>>

static void AMP::LinearAlgebra::CSRLocalMatrixOperationsDevice< Config, LocalMatrixData >::multTranspose	(	const scalar_t *	in,
		std::shared_ptr< LocalMatrixData >	A,
		std::vector< scalar_t > &	vvals,
		std::vector< size_t > &	rcols
	)

static

Matrix transpose-vector multiplication.

Parameters

[in]	in	The vector to multiply
[in]	A	The input matrix A
[out]	vvals	Values accumulated into from product
[out]	rcols	Indices where vvals correspond to

Compute \(\mathbf{A}^T\mathbf{in} = \mathbf{out}\).

◆ scale()

template<typename Config , typename LocalMatrixData = CSRLocalMatrixData<Config>>

static void AMP::LinearAlgebra::CSRLocalMatrixOperationsDevice< Config, LocalMatrixData >::scale	(	scalar_t	alpha,
		std::shared_ptr< LocalMatrixData >	A
	)

static

Scale the matrix by a scalar.

Parameters

[in]	alpha	The value to scale by
[in,out]	A	The matrix A

Compute \(\mathbf{A} = \alpha\mathbf{A}\)

◆ setDiagonal()

template<typename Config , typename LocalMatrixData = CSRLocalMatrixData<Config>>

static void AMP::LinearAlgebra::CSRLocalMatrixOperationsDevice< Config, LocalMatrixData >::setDiagonal	(	const scalar_t *	in,
		std::shared_ptr< LocalMatrixData >	A
	)

static

Set the diagonal to the values in a vector.

Parameters

[in]	in	The values to set the diagonal to
[out]	A	The matrix to set

◆ setIdentity()

template<typename Config , typename LocalMatrixData = CSRLocalMatrixData<Config>>

static void AMP::LinearAlgebra::CSRLocalMatrixOperationsDevice< Config, LocalMatrixData >::setIdentity ( std::shared_ptr< LocalMatrixData > A )

static

Set the matrix to the identity matrix.

Parameters

[out] A The matrix to set

◆ setScalar()

template<typename Config , typename LocalMatrixData = CSRLocalMatrixData<Config>>

static void AMP::LinearAlgebra::CSRLocalMatrixOperationsDevice< Config, LocalMatrixData >::setScalar	(	scalar_t	alpha,
		std::shared_ptr< LocalMatrixData >	A
	)

static

Set the non-zeros of the matrix to a scalar.

Parameters

[in]	alpha	The value to set the non-zeros to
[out]	A	The input matrix A

◆ zero()

template<typename Config , typename LocalMatrixData = CSRLocalMatrixData<Config>>

static void AMP::LinearAlgebra::CSRLocalMatrixOperationsDevice< Config, LocalMatrixData >::zero ( std::shared_ptr< LocalMatrixData > A )

static

Set the non-zeros of the matrix to zero.

Parameters

[in] A The input matrix A

May not deallocate space.

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

src/matrices/operations/device/CSRLocalMatrixOperationsDevice.h

Public Types

Static Public Member Functions

Detailed Description

Member Typedef Documentation

◆ allocator_type

◆ gidx_t

◆ lidx_t

◆ scalar_t

Member Function Documentation

◆ axpy()

◆ copy()

◆ copyCast()

◆ extractDiagonal()

◆ LinfNorm()

◆ mult()

◆ multTranspose()

◆ scale()

◆ setDiagonal()

◆ setIdentity()

◆ setScalar()

◆ zero()