mgcpp::cublas Namespace Reference

Functions
template<typename T >
outcome::result< void >	dot (cublasHandle_t handle, size_t n, T const *x, size_t incx, T const *y, size_t incy, T *result) noexcept
template<typename T >
outcome::result< void >	axpy (cublasHandle_t handle, size_t n, T const *alpha, T const *x, size_t incx, T *y, size_t incy) noexcept
template<typename VectorType , typename ScalarType >
outcome::result< void >	scal (cublasHandle_t handle, size_t n, ScalarType const *alpha, VectorType *vec, size_t incvec) noexcept
template<typename T >
outcome::result< void >	gemv (cublasHandle_t handle, cublasOperation_t trans, int m, int n, T const *alpha, T const *A, int lda, T const *x, int incx, T const *beta, T *y, int incy)
template<typename T >
outcome::result< void >	ger (cublasHandle_t handle, size_t m, size_t n, T const *alpha, T const *x, size_t incx, T const *y, size_t incy, T *A, int lda)
	This function performs the rank-1 update. More...
template<typename T >
outcome::result< void >	gemm (cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, size_t m, size_t n, size_t k, T const *alpha, T const *A, size_t lda, T const *B, size_t ldb, T const *beta, T *C, size_t ldc) noexcept
template<typename T >
outcome::result< void >	gemm_batched (cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, size_t m, size_t n, size_t k, T const *alpha, T const *A, size_t lda, T const *B, size_t ldb, T const *beta, T *C, size_t ldc) noexcept
template<typename T >
outcome::result< void >	geam (cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, size_t m, size_t n, const T *alpha, const T *A, size_t lda, const T *beta, const T *B, size_t ldb, T *C, size_t ldc) noexcept

Function Documentation

axpy()

template<typename T >

outcome::result<void> mgcpp::cublas::axpy ( cublasHandle_t  handle, size_t  n, T const *  alpha, T const *  x, size_t  incx, T *  y, size_t  incy  )

noexcept

dot()

template<typename T >

outcome::result<void> mgcpp::cublas::dot ( cublasHandle_t  handle, size_t  n, T const *  x, size_t  incx, T const *  y, size_t  incy, T *  result  )

noexcept

geam()

template<typename T >

outcome::result<void> mgcpp::cublas::geam ( cublasHandle_t  handle, cublasOperation_t  transa, cublasOperation_t  transb, size_t  m, size_t  n, const T *  alpha, const T *  A, size_t  lda, const T *  beta, const T *  B, size_t  ldb, T *  C, size_t  ldc  )

noexcept

gemm()

template<typename T >

outcome::result<void> mgcpp::cublas::gemm ( cublasHandle_t  handle, cublasOperation_t  transa, cublasOperation_t  transb, size_t  m, size_t  n, size_t  k, T const *  alpha, T const *  A, size_t  lda, T const *  B, size_t  ldb, T const *  beta, T *  C, size_t  ldc  )

noexcept

gemm_batched()

template<typename T >

outcome::result<void> mgcpp::cublas::gemm_batched ( cublasHandle_t  handle, cublasOperation_t  transa, cublasOperation_t  transb, size_t  m, size_t  n, size_t  k, T const *  alpha, T const *  A, size_t  lda, T const *  B, size_t  ldb, T const *  beta, T *  C, size_t  ldc  )

noexcept

gemv()

template<typename T >

outcome::result<void> mgcpp::cublas::gemv	(	cublasHandle_t	handle,
		cublasOperation_t	trans,
		int	m,
		int	n,
		T const *	alpha,
		T const *	A,
		int	lda,
		T const *	x,
		int	incx,
		T const *	beta,
		T *	y,
		int	incy
	)

matrix-vector multiplication y = alpha * op(A) * x + beta * y

Parameters

handle	handle to the cuBLAS library context
trans	operation op(A) that is non- or (conj.) transpose.
m	number of rows of matrix A.
n	number of columns of matrix A.
alpha	scalar used for multiplication.
A	array of dimension (lda, n)
lda	leading dimension of two-dimensional array used to store matrix A. lda must be at least max{1, m}
x	vector at least (1+(n-1)*abs(incx)) elements if transa==CUBLAS_OP_N and at least (1+(m-1)*abs(incx)) elements otherwise.
incx	stride between consecutive elements of x.
beta	scalar used for multiplication, if beta==0 then y does not have to be a valid input.
y	vector at least (1+(m-1)*abs(incy)) elements if transa==CUBLAS_OP_N and at least (1+(n-1)*abs(incy)) elements otherwise.
incy	stride between consecutive elements of y.

ger()

template<typename T >

outcome::result<void> mgcpp::cublas::ger	(	cublasHandle_t	handle,
		size_t	m,
		size_t	n,
		T const *	alpha,
		T const *	x,
		size_t	incx,
		T const *	y,
		size_t	incy,
		T *	A,
		int	lda
	)

This function performs the rank-1 update.

scal()

template<typename VectorType , typename ScalarType >

outcome::result<void> mgcpp::cublas::scal ( cublasHandle_t  handle, size_t  n, ScalarType const *  alpha, VectorType *  vec, size_t  incvec  )

noexcept