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12. cuBLAS Development Guide Chinese version--Level-1 functions asum() and axpy() in cuBLAS

2022-08-09 14:19:00 Little He Shang who sweeps the floor

cuBLAS中的Level-1函数asum()和axpy()

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2.5.3. cublas<t>asum()

cublasStatus_t  cublasSasum(cublasHandle_t handle, int n,
                            const float           *x, int incx, float  *result)
cublasStatus_t  cublasDasum(cublasHandle_t handle, int n,
                            const double          *x, int incx, double *result)
cublasStatus_t cublasScasum(cublasHandle_t handle, int n,
                            const cuComplex       *x, int incx, float  *result)
cublasStatus_t cublasDzasum(cublasHandle_t handle, int n,
                            const cuDoubleComplex *x, int incx, double *result)

This function computes a vector x The sum of the absolute values ​​of the elements of . 因此,结果是 ∑ i = 1 n | I m ( x [ j ] ) | + | R e ( x [ j ] ) | 其中 j = 1 + ( i - 1 ) * incx . 请注意,最后一个等式反映了用于与 Fortran 兼容的基于 1 的索引.

Param.MemoryIn/outMeaning
handleinputhandle to the cuBLAS library context.
ninputnumber of elements in the vector x.
xdeviceinput<type> vector with elements.
incxinputstride between consecutive elements of x.
resulthost or deviceoutputthe resulting index, which is 0.0 if n,incx<=0

该函数可能返回的错误值及其含义如下所列.

Error ValueMeaning
CUBLAS_STATUS_SUCCESS操作成功完成
CUBLAS_STATUS_NOT_INITIALIZED库未初始化
CUBLAS_STATUS_ALLOC_FAILED无法分配缩减缓冲区
CUBLAS_STATUS_EXECUTION_FAILED该功能无法在 GPU 上启动

请参考:

sasum, dasum, scasum, dzasum

2.5.4. cublas<t>axpy()

cublasStatus_t cublasSaxpy(cublasHandle_t handle, int n,
                           const float           *alpha,
                           const float           *x, int incx,
                           float                 *y, int incy)
cublasStatus_t cublasDaxpy(cublasHandle_t handle, int n,
                           const double          *alpha,
                           const double          *x, int incx,
                           double                *y, int incy)
cublasStatus_t cublasCaxpy(cublasHandle_t handle, int n,
                           const cuComplex       *alpha,
                           const cuComplex       *x, int incx,
                           cuComplex             *y, int incy)
cublasStatus_t cublasZaxpy(cublasHandle_t handle, int n,
                           const cuDoubleComplex *alpha,
                           const cuDoubleComplex *x, int incx,
                           cuDoubleComplex       *y, int incy)

This function converts the vector x Multiply a scalar and add it to a vector y 中,and overwrite the latest vector with the result. 因此,对 i = 1 , … , n 、 k = 1 + ( i - 1 ) * incx 和 j = 1 + ( i - 1 ) * incy 执行的操作是 y [ j ] = α × x [ k ] + y [ j ]. 请注意,The last two equations reflect that for AND Fortran 兼容的基于 1 的索引.

Param.MemoryIn/outMeaning
handleinputhandle to the cuBLAS library context.
alphahost or deviceinput<type> scalar used for multiplication.
ninputnumber of elements in the vector x.
xdeviceinput<type> vector with n elements.
incxinputstride between consecutive elements of x.
ydevicein/out<type> vector with n elements.
incyinputstride between consecutive elements of y.
Error ValueMeaning
CUBLAS_STATUS_SUCCESS操作成功完成
CUBLAS_STATUS_NOT_INITIALIZED库未初始化
CUBLAS_STATUS_ALLOC_FAILED无法分配缩减缓冲区
CUBLAS_STATUS_EXECUTION_FAILED该功能无法在 GPU 上启动

请参考:

saxpy, daxpy, caxpy, zaxpy

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