\(y = \alpha Ax + \beta y\) More...

Functions
void	magmablas_chemv_batched (magma_uplo_t uplo, magma_int_t n, magmaFloatComplex alpha, magmaFloatComplex dA_array, magma_int_t ldda, magmaFloatComplex dX_array, magma_int_t incx, magmaFloatComplex beta, magmaFloatComplex **dY_array, magma_int_t incy, magma_int_t batchCount, magma_queue_t queue)
	CHEMV performs the matrix-vector operation:

void	magmablas_chemv_vbatched (magma_uplo_t uplo, magma_int_t n, magmaFloatComplex alpha, magmaFloatComplex_ptr dA_array[], magma_int_t ldda, magmaFloatComplex_ptr dx_array[], magma_int_t incx, magmaFloatComplex beta, magmaFloatComplex_ptr dy_array[], magma_int_t incy, magma_int_t batchCount, magma_queue_t queue)
	CHEMV performs the matrix-vector operation:

void	magmablas_dsymv_batched (magma_uplo_t uplo, magma_int_t n, double alpha, double dA_array, magma_int_t ldda, double dX_array, magma_int_t incx, double beta, double **dY_array, magma_int_t incy, magma_int_t batchCount, magma_queue_t queue)
	DSYMV performs the matrix-vector operation:

void	magmablas_dsymv_vbatched (magma_uplo_t uplo, magma_int_t n, double alpha, magmaDouble_ptr dA_array[], magma_int_t ldda, magmaDouble_ptr dx_array[], magma_int_t incx, double beta, magmaDouble_ptr dy_array[], magma_int_t incy, magma_int_t batchCount, magma_queue_t queue)
	DSYMV performs the matrix-vector operation:

void	magmablas_ssymv_batched (magma_uplo_t uplo, magma_int_t n, float alpha, float dA_array, magma_int_t ldda, float dX_array, magma_int_t incx, float beta, float **dY_array, magma_int_t incy, magma_int_t batchCount, magma_queue_t queue)
	SSYMV performs the matrix-vector operation:

void	magmablas_ssymv_vbatched (magma_uplo_t uplo, magma_int_t n, float alpha, magmaFloat_ptr dA_array[], magma_int_t ldda, magmaFloat_ptr dx_array[], magma_int_t incx, float beta, magmaFloat_ptr dy_array[], magma_int_t incy, magma_int_t batchCount, magma_queue_t queue)
	SSYMV performs the matrix-vector operation:

void	magmablas_zhemv_batched (magma_uplo_t uplo, magma_int_t n, magmaDoubleComplex alpha, magmaDoubleComplex dA_array, magma_int_t ldda, magmaDoubleComplex dX_array, magma_int_t incx, magmaDoubleComplex beta, magmaDoubleComplex **dY_array, magma_int_t incy, magma_int_t batchCount, magma_queue_t queue)
	ZHEMV performs the matrix-vector operation:

void	magmablas_zhemv_vbatched (magma_uplo_t uplo, magma_int_t n, magmaDoubleComplex alpha, magmaDoubleComplex_ptr dA_array[], magma_int_t ldda, magmaDoubleComplex_ptr dx_array[], magma_int_t incx, magmaDoubleComplex beta, magmaDoubleComplex_ptr dy_array[], magma_int_t incy, magma_int_t batchCount, magma_queue_t queue)
	ZHEMV performs the matrix-vector operation:

Detailed Description

\(y = \alpha Ax + \beta y\)

Function Documentation

◆ magmablas_chemv_batched()

void magmablas_chemv_batched	(	magma_uplo_t	uplo,
		magma_int_t	n,
		magmaFloatComplex	alpha,
		magmaFloatComplex **	dA_array,
		magma_int_t	ldda,
		magmaFloatComplex **	dX_array,
		magma_int_t	incx,
		magmaFloatComplex	beta,
		magmaFloatComplex **	dY_array,
		magma_int_t	incy,
		magma_int_t	batchCount,
		magma_queue_t	queue )

CHEMV performs the matrix-vector operation:

y := alpha*A*x + beta*y,

where alpha and beta are scalars, x and y are n element vectors and A is an n by n Hermitian matrix. This is the fixed size batched version of the operation.

Parameters

[in]	uplo	magma_uplo_t. On entry, UPLO specifies whether the upper or lower triangular part of the array A is to be referenced as follows: = MagmaUpper: Only the upper triangular part of A is to be referenced. = MagmaLower: Only the lower triangular part of A is to be referenced.
[in]	n	INTEGER. On entry, N specifies the order of each matrix A. N must be at least zero.
[in]	alpha	COMPLEX. On entry, ALPHA specifies the scalar alpha.
[in]	dA_array	Array of pointers, dimension(batchCount). Each is a COMPLEX array A of DIMENSION ( LDDA, n ). Before entry with UPLO = MagmaUpper, the leading n by n upper triangular part of the array A must contain the upper triangular part of the Hermitian matrix and the strictly lower triangular part of A is not referenced. Before entry with UPLO = MagmaLower, the leading n by n lower triangular part of the array A must contain the lower triangular part of the Hermitian matrix and the strictly upper triangular part of A is not referenced. Note that the imaginary parts of the diagonal elements need not be set and are assumed to be zero.
[in]	ldda	INTEGER. On entry, LDDA specifies the first dimension of each A as declared in the calling (sub) program. LDDA must be at least max( 1, n ). It is recommended that ldda is multiple of 16. Otherwise performance would be deteriorated as the memory accesses would not be fully coalescent.
[in]	dX_array	Array of pointers, dimension(batchCount). Each is a COMPLEX array X of dimension at least ( 1 + ( n - 1 )*abs( INCX ) ). Before entry, the incremented array X must contain the n element vector X.
[in]	incx	INTEGER. On entry, INCX specifies the increment for the elements of X. INCX must not be zero.
[in]	beta	COMPLEX. On entry, BETA specifies the scalar beta. When BETA is supplied as zero then Y need not be set on input.
[in,out]	dY_array	Array of pointers, dimension(batchCount). Each is a COMPLEX array Y of dimension at least ( 1 + ( n - 1 )*abs( INCY ) ). Before entry, the incremented array Y must contain the n element vector Y. On exit, Y is overwritten by the updated vector Y.
[in]	incy	INTEGER. On entry, INCY specifies the increment for the elements of Y. INCY must not be zero.
[in]	batchCount	INTEGER. The number of problems to operate on.
[in]	queue	magma_queue_t Queue to execute in.

◆ magmablas_chemv_vbatched()

void magmablas_chemv_vbatched	(	magma_uplo_t	uplo,
		magma_int_t *	n,
		magmaFloatComplex	alpha,
		magmaFloatComplex_ptr	dA_array[],
		magma_int_t *	ldda,
		magmaFloatComplex_ptr	dx_array[],
		magma_int_t *	incx,
		magmaFloatComplex	beta,
		magmaFloatComplex_ptr	dy_array[],
		magma_int_t *	incy,
		magma_int_t	batchCount,
		magma_queue_t	queue )

CHEMV performs the matrix-vector operation:

y := alpha*A*x + beta*y,

where alpha and beta are scalars, x and y are n element vectors and A is an n by n Hermitian matrix. This is the variable size batched version of the operation.

Parameters

[in]	uplo	magma_uplo_t. On entry, UPLO specifies whether the upper or lower triangular part of the array A is to be referenced as follows: = MagmaUpper: Only the upper triangular part of A is to be referenced. = MagmaLower: Only the lower triangular part of A is to be referenced.
[in]	n	INTEGER array, dimension(batchCoutn + 1). On entry, each element N specifies the order of each matrix A. N must be at least zero.
[in]	alpha	COMPLEX. On entry, ALPHA specifies the scalar alpha.
[in]	dA_array	Array of pointers, dimension(batchCount). Each is a COMPLEX array A of DIMENSION ( LDDA, N ). Before entry with UPLO = MagmaUpper, the leading N by N upper triangular part of the array A must contain the upper triangular part of the Hermitian matrix and the strictly lower triangular part of A is not referenced. Before entry with UPLO = MagmaLower, the leading N by N lower triangular part of the array A must contain the lower triangular part of the Hermitian matrix and the strictly upper triangular part of A is not referenced. Note that the imaginary parts of the diagonal elements need not be set and are assumed to be zero.
[in]	ldda	INTEGER array, dimension(batchCount + 1). On entry, each element LDDA specifies the first dimension of each A as declared in the calling (sub) program. LDDA must be at least max( 1, n ). It is recommended that LDDA is multiple of 16. Otherwise performance would be deteriorated as the memory accesses would not be fully coalescent.
[in]	dx_array	Array of pointers, dimension(batchCount). Each is a COMPLEX array X of dimension at least ( 1 + ( n - 1 )*abs( INCX ) ). Before entry, the incremented array X must contain the n element vector X.
[in]	incx	INTEGER array, dimension(batchCount + 1). On entry, each element INCX specifies the increment for the elements of each X. INCX must not be zero.
[in]	beta	COMPLEX. On entry, BETA specifies the scalar beta. When BETA is supplied as zero then Y need not be set on input.
[in,out]	dy_array	Array of pointers, dimension(batchCount). Each is a COMPLEX array Y of dimension at least ( 1 + ( n - 1 )*abs( INCY ) ). Before entry, the incremented array Y must contain the n element vector Y. On exit, Y is overwritten by the updated vector Y.
[in]	incy	INTEGER array, dimension(batchCount + 1). On entry, each element INCY specifies the increment for the elements of each Y. INCY must not be zero.
[in]	batchCount	INTEGER. The number of problems to operate on.
[in]	queue	magma_queue_t Queue to execute in.

◆ magmablas_dsymv_batched()

void magmablas_dsymv_batched	(	magma_uplo_t	uplo,
		magma_int_t	n,
		double	alpha,
		double **	dA_array,
		magma_int_t	ldda,
		double **	dX_array,
		magma_int_t	incx,
		double	beta,
		double **	dY_array,
		magma_int_t	incy,
		magma_int_t	batchCount,
		magma_queue_t	queue )

DSYMV performs the matrix-vector operation:

y := alpha*A*x + beta*y,

where alpha and beta are scalars, x and y are n element vectors and A is an n by n symmetric matrix. This is the fixed size batched version of the operation.

Parameters

[in]	uplo	magma_uplo_t. On entry, UPLO specifies whether the upper or lower triangular part of the array A is to be referenced as follows: = MagmaUpper: Only the upper triangular part of A is to be referenced. = MagmaLower: Only the lower triangular part of A is to be referenced.
[in]	n	INTEGER. On entry, N specifies the order of each matrix A. N must be at least zero.
[in]	alpha	DOUBLE PRECISION. On entry, ALPHA specifies the scalar alpha.
[in]	dA_array	Array of pointers, dimension(batchCount). Each is a DOUBLE PRECISION array A of DIMENSION ( LDDA, n ). Before entry with UPLO = MagmaUpper, the leading n by n upper triangular part of the array A must contain the upper triangular part of the symmetric matrix and the strictly lower triangular part of A is not referenced. Before entry with UPLO = MagmaLower, the leading n by n lower triangular part of the array A must contain the lower triangular part of the symmetric matrix and the strictly upper triangular part of A is not referenced. Note that the imaginary parts of the diagonal elements need not be set and are assumed to be zero.
[in]	ldda	INTEGER. On entry, LDDA specifies the first dimension of each A as declared in the calling (sub) program. LDDA must be at least max( 1, n ). It is recommended that ldda is multiple of 16. Otherwise performance would be deteriorated as the memory accesses would not be fully coalescent.
[in]	dX_array	Array of pointers, dimension(batchCount). Each is a DOUBLE PRECISION array X of dimension at least ( 1 + ( n - 1 )*abs( INCX ) ). Before entry, the incremented array X must contain the n element vector X.
[in]	incx	INTEGER. On entry, INCX specifies the increment for the elements of X. INCX must not be zero.
[in]	beta	DOUBLE PRECISION. On entry, BETA specifies the scalar beta. When BETA is supplied as zero then Y need not be set on input.
[in,out]	dY_array	Array of pointers, dimension(batchCount). Each is a DOUBLE PRECISION array Y of dimension at least ( 1 + ( n - 1 )*abs( INCY ) ). Before entry, the incremented array Y must contain the n element vector Y. On exit, Y is overwritten by the updated vector Y.
[in]	incy	INTEGER. On entry, INCY specifies the increment for the elements of Y. INCY must not be zero.
[in]	batchCount	INTEGER. The number of problems to operate on.
[in]	queue	magma_queue_t Queue to execute in.

◆ magmablas_dsymv_vbatched()

void magmablas_dsymv_vbatched	(	magma_uplo_t	uplo,
		magma_int_t *	n,
		double	alpha,
		magmaDouble_ptr	dA_array[],
		magma_int_t *	ldda,
		magmaDouble_ptr	dx_array[],
		magma_int_t *	incx,
		double	beta,
		magmaDouble_ptr	dy_array[],
		magma_int_t *	incy,
		magma_int_t	batchCount,
		magma_queue_t	queue )

DSYMV performs the matrix-vector operation:

y := alpha*A*x + beta*y,

where alpha and beta are scalars, x and y are n element vectors and A is an n by n symmetric matrix. This is the variable size batched version of the operation.

Parameters

[in]	uplo	magma_uplo_t. On entry, UPLO specifies whether the upper or lower triangular part of the array A is to be referenced as follows: = MagmaUpper: Only the upper triangular part of A is to be referenced. = MagmaLower: Only the lower triangular part of A is to be referenced.
[in]	n	INTEGER array, dimension(batchCoutn + 1). On entry, each element N specifies the order of each matrix A. N must be at least zero.
[in]	alpha	DOUBLE PRECISION. On entry, ALPHA specifies the scalar alpha.
[in]	dA_array	Array of pointers, dimension(batchCount). Each is a DOUBLE PRECISION array A of DIMENSION ( LDDA, N ). Before entry with UPLO = MagmaUpper, the leading N by N upper triangular part of the array A must contain the upper triangular part of the symmetric matrix and the strictly lower triangular part of A is not referenced. Before entry with UPLO = MagmaLower, the leading N by N lower triangular part of the array A must contain the lower triangular part of the symmetric matrix and the strictly upper triangular part of A is not referenced. Note that the imaginary parts of the diagonal elements need not be set and are assumed to be zero.
[in]	ldda	INTEGER array, dimension(batchCount + 1). On entry, each element LDDA specifies the first dimension of each A as declared in the calling (sub) program. LDDA must be at least max( 1, n ). It is recommended that LDDA is multiple of 16. Otherwise performance would be deteriorated as the memory accesses would not be fully coalescent.
[in]	dx_array	Array of pointers, dimension(batchCount). Each is a DOUBLE PRECISION array X of dimension at least ( 1 + ( n - 1 )*abs( INCX ) ). Before entry, the incremented array X must contain the n element vector X.
[in]	incx	INTEGER array, dimension(batchCount + 1). On entry, each element INCX specifies the increment for the elements of each X. INCX must not be zero.
[in]	beta	DOUBLE PRECISION. On entry, BETA specifies the scalar beta. When BETA is supplied as zero then Y need not be set on input.
[in,out]	dy_array	Array of pointers, dimension(batchCount). Each is a DOUBLE PRECISION array Y of dimension at least ( 1 + ( n - 1 )*abs( INCY ) ). Before entry, the incremented array Y must contain the n element vector Y. On exit, Y is overwritten by the updated vector Y.
[in]	incy	INTEGER array, dimension(batchCount + 1). On entry, each element INCY specifies the increment for the elements of each Y. INCY must not be zero.
[in]	batchCount	INTEGER. The number of problems to operate on.
[in]	queue	magma_queue_t Queue to execute in.

◆ magmablas_ssymv_batched()

void magmablas_ssymv_batched	(	magma_uplo_t	uplo,
		magma_int_t	n,
		float	alpha,
		float **	dA_array,
		magma_int_t	ldda,
		float **	dX_array,
		magma_int_t	incx,
		float	beta,
		float **	dY_array,
		magma_int_t	incy,
		magma_int_t	batchCount,
		magma_queue_t	queue )

SSYMV performs the matrix-vector operation:

y := alpha*A*x + beta*y,

where alpha and beta are scalars, x and y are n element vectors and A is an n by n symmetric matrix. This is the fixed size batched version of the operation.

Parameters

[in]	uplo	magma_uplo_t. On entry, UPLO specifies whether the upper or lower triangular part of the array A is to be referenced as follows: = MagmaUpper: Only the upper triangular part of A is to be referenced. = MagmaLower: Only the lower triangular part of A is to be referenced.
[in]	n	INTEGER. On entry, N specifies the order of each matrix A. N must be at least zero.
[in]	alpha	REAL. On entry, ALPHA specifies the scalar alpha.
[in]	dA_array	Array of pointers, dimension(batchCount). Each is a REAL array A of DIMENSION ( LDDA, n ). Before entry with UPLO = MagmaUpper, the leading n by n upper triangular part of the array A must contain the upper triangular part of the symmetric matrix and the strictly lower triangular part of A is not referenced. Before entry with UPLO = MagmaLower, the leading n by n lower triangular part of the array A must contain the lower triangular part of the symmetric matrix and the strictly upper triangular part of A is not referenced. Note that the imaginary parts of the diagonal elements need not be set and are assumed to be zero.
[in]	ldda	INTEGER. On entry, LDDA specifies the first dimension of each A as declared in the calling (sub) program. LDDA must be at least max( 1, n ). It is recommended that ldda is multiple of 16. Otherwise performance would be deteriorated as the memory accesses would not be fully coalescent.
[in]	dX_array	Array of pointers, dimension(batchCount). Each is a REAL array X of dimension at least ( 1 + ( n - 1 )*abs( INCX ) ). Before entry, the incremented array X must contain the n element vector X.
[in]	incx	INTEGER. On entry, INCX specifies the increment for the elements of X. INCX must not be zero.
[in]	beta	REAL. On entry, BETA specifies the scalar beta. When BETA is supplied as zero then Y need not be set on input.
[in,out]	dY_array	Array of pointers, dimension(batchCount). Each is a REAL array Y of dimension at least ( 1 + ( n - 1 )*abs( INCY ) ). Before entry, the incremented array Y must contain the n element vector Y. On exit, Y is overwritten by the updated vector Y.
[in]	incy	INTEGER. On entry, INCY specifies the increment for the elements of Y. INCY must not be zero.
[in]	batchCount	INTEGER. The number of problems to operate on.
[in]	queue	magma_queue_t Queue to execute in.

◆ magmablas_ssymv_vbatched()

void magmablas_ssymv_vbatched	(	magma_uplo_t	uplo,
		magma_int_t *	n,
		float	alpha,
		magmaFloat_ptr	dA_array[],
		magma_int_t *	ldda,
		magmaFloat_ptr	dx_array[],
		magma_int_t *	incx,
		float	beta,
		magmaFloat_ptr	dy_array[],
		magma_int_t *	incy,
		magma_int_t	batchCount,
		magma_queue_t	queue )

SSYMV performs the matrix-vector operation:

y := alpha*A*x + beta*y,

where alpha and beta are scalars, x and y are n element vectors and A is an n by n symmetric matrix. This is the variable size batched version of the operation.

Parameters

[in]	uplo	magma_uplo_t. On entry, UPLO specifies whether the upper or lower triangular part of the array A is to be referenced as follows: = MagmaUpper: Only the upper triangular part of A is to be referenced. = MagmaLower: Only the lower triangular part of A is to be referenced.
[in]	n	INTEGER array, dimension(batchCoutn + 1). On entry, each element N specifies the order of each matrix A. N must be at least zero.
[in]	alpha	REAL. On entry, ALPHA specifies the scalar alpha.
[in]	dA_array	Array of pointers, dimension(batchCount). Each is a REAL array A of DIMENSION ( LDDA, N ). Before entry with UPLO = MagmaUpper, the leading N by N upper triangular part of the array A must contain the upper triangular part of the symmetric matrix and the strictly lower triangular part of A is not referenced. Before entry with UPLO = MagmaLower, the leading N by N lower triangular part of the array A must contain the lower triangular part of the symmetric matrix and the strictly upper triangular part of A is not referenced. Note that the imaginary parts of the diagonal elements need not be set and are assumed to be zero.
[in]	ldda	INTEGER array, dimension(batchCount + 1). On entry, each element LDDA specifies the first dimension of each A as declared in the calling (sub) program. LDDA must be at least max( 1, n ). It is recommended that LDDA is multiple of 16. Otherwise performance would be deteriorated as the memory accesses would not be fully coalescent.
[in]	dx_array	Array of pointers, dimension(batchCount). Each is a REAL array X of dimension at least ( 1 + ( n - 1 )*abs( INCX ) ). Before entry, the incremented array X must contain the n element vector X.
[in]	incx	INTEGER array, dimension(batchCount + 1). On entry, each element INCX specifies the increment for the elements of each X. INCX must not be zero.
[in]	beta	REAL. On entry, BETA specifies the scalar beta. When BETA is supplied as zero then Y need not be set on input.
[in,out]	dy_array	Array of pointers, dimension(batchCount). Each is a REAL array Y of dimension at least ( 1 + ( n - 1 )*abs( INCY ) ). Before entry, the incremented array Y must contain the n element vector Y. On exit, Y is overwritten by the updated vector Y.
[in]	incy	INTEGER array, dimension(batchCount + 1). On entry, each element INCY specifies the increment for the elements of each Y. INCY must not be zero.
[in]	batchCount	INTEGER. The number of problems to operate on.
[in]	queue	magma_queue_t Queue to execute in.

◆ magmablas_zhemv_batched()

void magmablas_zhemv_batched	(	magma_uplo_t	uplo,
		magma_int_t	n,
		magmaDoubleComplex	alpha,
		magmaDoubleComplex **	dA_array,
		magma_int_t	ldda,
		magmaDoubleComplex **	dX_array,
		magma_int_t	incx,
		magmaDoubleComplex	beta,
		magmaDoubleComplex **	dY_array,
		magma_int_t	incy,
		magma_int_t	batchCount,
		magma_queue_t	queue )

ZHEMV performs the matrix-vector operation:

y := alpha*A*x + beta*y,

where alpha and beta are scalars, x and y are n element vectors and A is an n by n Hermitian matrix. This is the fixed size batched version of the operation.

Parameters

[in]	uplo	magma_uplo_t. On entry, UPLO specifies whether the upper or lower triangular part of the array A is to be referenced as follows: = MagmaUpper: Only the upper triangular part of A is to be referenced. = MagmaLower: Only the lower triangular part of A is to be referenced.
[in]	n	INTEGER. On entry, N specifies the order of each matrix A. N must be at least zero.
[in]	alpha	COMPLEX_16. On entry, ALPHA specifies the scalar alpha.
[in]	dA_array	Array of pointers, dimension(batchCount). Each is a COMPLEX_16 array A of DIMENSION ( LDDA, n ). Before entry with UPLO = MagmaUpper, the leading n by n upper triangular part of the array A must contain the upper triangular part of the Hermitian matrix and the strictly lower triangular part of A is not referenced. Before entry with UPLO = MagmaLower, the leading n by n lower triangular part of the array A must contain the lower triangular part of the Hermitian matrix and the strictly upper triangular part of A is not referenced. Note that the imaginary parts of the diagonal elements need not be set and are assumed to be zero.
[in]	ldda	INTEGER. On entry, LDDA specifies the first dimension of each A as declared in the calling (sub) program. LDDA must be at least max( 1, n ). It is recommended that ldda is multiple of 16. Otherwise performance would be deteriorated as the memory accesses would not be fully coalescent.
[in]	dX_array	Array of pointers, dimension(batchCount). Each is a COMPLEX_16 array X of dimension at least ( 1 + ( n - 1 )*abs( INCX ) ). Before entry, the incremented array X must contain the n element vector X.
[in]	incx	INTEGER. On entry, INCX specifies the increment for the elements of X. INCX must not be zero.
[in]	beta	COMPLEX_16. On entry, BETA specifies the scalar beta. When BETA is supplied as zero then Y need not be set on input.
[in,out]	dY_array	Array of pointers, dimension(batchCount). Each is a COMPLEX_16 array Y of dimension at least ( 1 + ( n - 1 )*abs( INCY ) ). Before entry, the incremented array Y must contain the n element vector Y. On exit, Y is overwritten by the updated vector Y.
[in]	incy	INTEGER. On entry, INCY specifies the increment for the elements of Y. INCY must not be zero.
[in]	batchCount	INTEGER. The number of problems to operate on.
[in]	queue	magma_queue_t Queue to execute in.

◆ magmablas_zhemv_vbatched()

void magmablas_zhemv_vbatched	(	magma_uplo_t	uplo,
		magma_int_t *	n,
		magmaDoubleComplex	alpha,
		magmaDoubleComplex_ptr	dA_array[],
		magma_int_t *	ldda,
		magmaDoubleComplex_ptr	dx_array[],
		magma_int_t *	incx,
		magmaDoubleComplex	beta,
		magmaDoubleComplex_ptr	dy_array[],
		magma_int_t *	incy,
		magma_int_t	batchCount,
		magma_queue_t	queue )

ZHEMV performs the matrix-vector operation:

y := alpha*A*x + beta*y,

where alpha and beta are scalars, x and y are n element vectors and A is an n by n Hermitian matrix. This is the variable size batched version of the operation.

Parameters

[in]	uplo	magma_uplo_t. On entry, UPLO specifies whether the upper or lower triangular part of the array A is to be referenced as follows: = MagmaUpper: Only the upper triangular part of A is to be referenced. = MagmaLower: Only the lower triangular part of A is to be referenced.
[in]	n	INTEGER array, dimension(batchCoutn + 1). On entry, each element N specifies the order of each matrix A. N must be at least zero.
[in]	alpha	COMPLEX_16. On entry, ALPHA specifies the scalar alpha.
[in]	dA_array	Array of pointers, dimension(batchCount). Each is a COMPLEX_16 array A of DIMENSION ( LDDA, N ). Before entry with UPLO = MagmaUpper, the leading N by N upper triangular part of the array A must contain the upper triangular part of the Hermitian matrix and the strictly lower triangular part of A is not referenced. Before entry with UPLO = MagmaLower, the leading N by N lower triangular part of the array A must contain the lower triangular part of the Hermitian matrix and the strictly upper triangular part of A is not referenced. Note that the imaginary parts of the diagonal elements need not be set and are assumed to be zero.
[in]	ldda	INTEGER array, dimension(batchCount + 1). On entry, each element LDDA specifies the first dimension of each A as declared in the calling (sub) program. LDDA must be at least max( 1, n ). It is recommended that LDDA is multiple of 16. Otherwise performance would be deteriorated as the memory accesses would not be fully coalescent.
[in]	dx_array	Array of pointers, dimension(batchCount). Each is a COMPLEX_16 array X of dimension at least ( 1 + ( n - 1 )*abs( INCX ) ). Before entry, the incremented array X must contain the n element vector X.
[in]	incx	INTEGER array, dimension(batchCount + 1). On entry, each element INCX specifies the increment for the elements of each X. INCX must not be zero.
[in]	beta	COMPLEX_16. On entry, BETA specifies the scalar beta. When BETA is supplied as zero then Y need not be set on input.
[in,out]	dy_array	Array of pointers, dimension(batchCount). Each is a COMPLEX_16 array Y of dimension at least ( 1 + ( n - 1 )*abs( INCY ) ). Before entry, the incremented array Y must contain the n element vector Y. On exit, Y is overwritten by the updated vector Y.
[in]	incy	INTEGER array, dimension(batchCount + 1). On entry, each element INCY specifies the increment for the elements of each Y. INCY must not be zero.
[in]	batchCount	INTEGER. The number of problems to operate on.
[in]	queue	magma_queue_t Queue to execute in.

Functions

Detailed Description

Function Documentation

◆ magmablas_chemv_batched()

◆ magmablas_chemv_vbatched()

◆ magmablas_dsymv_batched()

◆ magmablas_dsymv_vbatched()

◆ magmablas_ssymv_batched()

◆ magmablas_ssymv_vbatched()

◆ magmablas_zhemv_batched()

◆ magmablas_zhemv_vbatched()