monolish::blas::mattens (tensor_Dense)

matrix and tensor_Dense tensor multiplication: y = Ax More...

Functions
void	monolish::blas::mattens (const double &a, const matrix::CRS< double > &A, const tensor::tensor_Dense< double > &x, const double &b, tensor::tensor_Dense< double > &y)
	matrix and tensor_Dense tensor multiplication: y = Ax More...
void	monolish::blas::mattens (const double &a, const matrix::Dense< double > &A, const tensor::tensor_Dense< double > &x, const double &b, tensor::tensor_Dense< double > &y)
	matrix and tensor_Dense tensor multiplication: y = Ax More...
void	monolish::blas::mattens (const float &a, const matrix::CRS< float > &A, const tensor::tensor_Dense< float > &x, const float &b, tensor::tensor_Dense< float > &y)
void	monolish::blas::mattens (const float &a, const matrix::Dense< float > &A, const tensor::tensor_Dense< float > &x, const float &b, tensor::tensor_Dense< float > &y)
void	monolish::blas::mattens (const matrix::CRS< double > &A, const tensor::tensor_Dense< double > &x, tensor::tensor_Dense< double > &y)
	matrix and tensor_Dense tensor multiplication: ex. y_{ikl} = A_{ij} x_{jkl} More...
void	monolish::blas::mattens (const matrix::CRS< float > &A, const tensor::tensor_Dense< float > &x, tensor::tensor_Dense< float > &y)
void	monolish::blas::mattens (const matrix::Dense< double > &A, const tensor::tensor_Dense< double > &x, tensor::tensor_Dense< double > &y)
	matrix and tensor_Dense tensor multiplication: ex. y_{ikl} = A_{ij} x_{jkl} More...
void	monolish::blas::mattens (const matrix::Dense< float > &A, const tensor::tensor_Dense< float > &x, tensor::tensor_Dense< float > &y)

Detailed Description

matrix and tensor_Dense tensor multiplication: y = Ax

matrix and tensor_Dense tensor multiplication: ex. y_{ikl} = a A_{ij} x_{jkl} + b y_{ikl}

Function Documentation

mattens() [1/8]

void monolish::blas::mattens	(	const double &	a,
		const matrix::CRS< double > &	A,
		const tensor::tensor_Dense< double > &	x,
		const double &	b,
		tensor::tensor_Dense< double > &	y
	)

matrix and tensor_Dense tensor multiplication: y = Ax

Parameters

A	Dense matrix
x	tensor_Dense tensor
y	tensor_Dense tensor

Note

• # of computation: ?
• Multi-threading: true
• GPU acceleration: true
  • # of data transfer: 0

mattens() [2/8]

void monolish::blas::mattens	(	const double &	a,
		const matrix::Dense< double > &	A,
		const tensor::tensor_Dense< double > &	x,
		const double &	b,
		tensor::tensor_Dense< double > &	y
	)

matrix and tensor_Dense tensor multiplication: y = Ax

Parameters

A	Dense matrix
x	tensor_Dense tensor
y	tensor_Dense tensor

Note

• # of computation: ?
• Multi-threading: true
• GPU acceleration: true
  • # of data transfer: 0

mattens() [3/8]

void monolish::blas::mattens	(	const float &	a,
		const matrix::CRS< float > &	A,
		const tensor::tensor_Dense< float > &	x,
		const float &	b,
		tensor::tensor_Dense< float > &	y
	)

mattens() [4/8]

void monolish::blas::mattens	(	const float &	a,
		const matrix::Dense< float > &	A,
		const tensor::tensor_Dense< float > &	x,
		const float &	b,
		tensor::tensor_Dense< float > &	y
	)

mattens() [5/8]

void monolish::blas::mattens	(	const matrix::CRS< double > &	A,
		const tensor::tensor_Dense< double > &	x,
		tensor::tensor_Dense< double > &	y
	)

matrix and tensor_Dense tensor multiplication: ex. y_{ikl} = A_{ij} x_{jkl}

Parameters

A	Dense matrix
x	tensor_Dense tensor
y	tensor_Dense tensor

Note

• # of computation: ?
• Multi-threading: true
• GPU acceleration: true
  • # of data transfer: 0

mattens() [6/8]

void monolish::blas::mattens	(	const matrix::CRS< float > &	A,
		const tensor::tensor_Dense< float > &	x,
		tensor::tensor_Dense< float > &	y
	)

mattens() [7/8]

void monolish::blas::mattens	(	const matrix::Dense< double > &	A,
		const tensor::tensor_Dense< double > &	x,
		tensor::tensor_Dense< double > &	y
	)

matrix and tensor_Dense tensor multiplication: ex. y_{ikl} = A_{ij} x_{jkl}

Parameters

A	Dense matrix
x	tensor_Dense tensor
y	tensor_Dense tensor

Note

• # of computation: ?
• Multi-threading: true
• GPU acceleration: true
  • # of data transfer: 0

mattens() [8/8]

void monolish::blas::mattens	(	const matrix::Dense< float > &	A,
		const tensor::tensor_Dense< float > &	x,
		tensor::tensor_Dense< float > &	y
	)