blas.h File Reference

Classes
struct	blas_gbmv_dispatch< T >
struct	blas_gbmv_dispatch< double >
struct	blas_gbmv_dispatch< float >

Functions
template<typename T >
void	blas_symv (const T alpha, const MArray< T, 2 > &A, const MArray< T, 1 > &x, const T beta, MArray< T, 2 > &y)
template<typename T >
MArray< T, 1 >	blas_symv (const MArray< T, 2 > &A, const MArray< T, 1 > &x)
template<typename T >
MArray< T, 1 >	blas_gbmv (const MArray< T, 2 > &A, const MArray< T, 1 > &x, const int M, const int ku, const int kl, const bool transA)
template<typename T >
blas_dot_dispatch< T >::value_type	blas_dot (const MArray< T, 1 > &x, const MArray< T, 1 > &y)
template<typename T >
void	blas_axpy (const MArray< T, 1 > &x, const T alpha, MArray< T, 1 > &y)
template<typename T >
void	blas_gemv (const T alpha, const MArray< T, 2 > &A, const MArray< T, 1 > &x, const T beta, MArray< T, 1 > &y, const bool transA=false)
template<typename T >
MArray< T, 1 >	blas_gemv (const MArray< T, 2 > &A, const MArray< T, 1 > &x, const bool transA=false)
template<typename T >
void	blas_gemm (const T alpha, const MArray< T, 2 > &A, const MArray< T, 2 > &B, const T beta, MArray< T, 2 > &C, const bool transA=false, const bool transB=false)

Function Documentation

template<typename T >

void blas_gemv	(	const T	alpha,
		const MArray< T, 2 > &	A,
		const MArray< T, 1 > &	x,
		const T	beta,
		MArray< T, 1 > &	y,
		const bool	transA = false
	)

The Xgemv() routine compute a matrix-vector product for of either a general matrix or its transpose: y = alpha*Ax + beta*y y = alpha*transp(A)*x + beta*y

The MArrays x and y may have strides unequal 1, hence they may be views, slices, or subarrays of higher-dimensional MArrays. The matrix A needs to have contiguous storage.

The vector y is overwritted with the result of the calculation. If transA==false, the length of y has to be M, otherwise N.

template<typename T >

MArray<T,1> blas_gemv	(	const MArray< T, 2 > &	A,
		const MArray< T, 1 > &	x,
		const bool	transA = false
	)

The Xgemv() routine compute a matrix-vector product for double-precision data of either a general matrix or its transpose: y = Ax y = transp(A)*x

The MArrays x may have strides unequal 1, hence it may be a view, slice, or subarray of a higher-dimensional MArray The matrix A needs to have contiguous storage.

The result of the calculation is returned in a newly allocated MArray.

template<typename T >

void blas_symv	(	const T	alpha,
		const MArray< T, 2 > &	A,
		const MArray< T, 1 > &	x,
		const T	beta,
		MArray< T, 2 > &	y
	)

The Xsymv() routine compute a matrix-vector product for of a symmetric or hermitian matrix: y = alpha*Ax + beta*y

The MArrays x and y may have strides unequal 1, hence they may be views, slices, or subarrays of higher-dimensional MArrays. The matrix A needs to have contiguous storage.

The vector y is overwritted with the result of the calculation.

template<typename T >

MArray<T,1> blas_symv	(	const MArray< T, 2 > &	A,
		const MArray< T, 1 > &	x
	)

The Xsymv() routine compute a matrix-vector product for double-precision data of either a general matrix or its transpose: y = Ax

The MArrays x may have strides unequal 1, hence it may be a view, slice, or subarray of a higher-dimensional MArray The matrix A needs to have contiguous storage.

The result of the calculation is returned in a newly allocated MArray.

template<typename T >

MArray<T,1> blas_gbmv	(	const MArray< T, 2 > &	A,
		const MArray< T, 1 > &	x,
		const int	M,
		const int	ku,
		const int	kl,
		const bool	transA
	)

The Xgbmv() routine compute a matrix-vector product for single or double-precision data of either a general banded matrix or its transpose: y = Ax

The MArrays x may have strides unequal 1, hence it may be a view, slice, or subarray of a higher-dimensional MArray The matrix A needs to have contiguous storage.

The result of the calculation is returned in a newly allocated MArray.

References blas_gbmv_dispatch< T >::call().