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asum

Computes the sum of magnitudes of the vector elements.

Description

The asum routine computes the sum of the magnitudes of elements of a real vector, or the sum of magnitudes of the real and imaginary parts of elements of a complex vector. The operation is defined as:

where:

• x is a vector with n elements

asum supports the following precisions:

T	T_res
float	float
double	double
std::complex<float>	float
std::complex<double>	double

asum (Buffer Version)

Syntax

namespace oneapi::mkl::blas::column_major {
    void asum(sycl::queue &queue,
              std::int64_t n,
              sycl::buffer<T,1> &x,
              std::int64_t incx,
              sycl::buffer<T_res,1> &result)
}

namespace oneapi::mkl::blas::row_major {
    void asum(sycl::queue &queue,
              std::int64_t n,
              sycl::buffer<T,1> &x,
              std::int64_t incx,
              sycl::buffer<T_res,1> &result)
}

Input Parameters

queue

The queue where the routine should be executed.

n

Number of elements in vector x.

x

Buffer holding input vector x. Size of the buffer must be at least (1 + (n - 1)*abs(incx)). See Matrix Storage for more details.

incx

Stride of vector x.

Output Parameters

result

Buffer where the scalar result is stored.

asum (USM Version)

Syntax

namespace oneapi::mkl::blas::column_major {
    sycl::event asum(sycl::queue &queue,
                     std::int64_t n,
                     const T *x,
                     std::int64_t incx,
                     T_res *result,
                     const std::vector<sycl::event> &dependencies = {})
}

namespace oneapi::mkl::blas::row_major {
    sycl::event asum(sycl::queue &queue,
                     std::int64_t n,
                     const T *x,
                     std::int64_t incx,
                     T_res *result,
                     const std::vector<sycl::event> &dependencies = {})
}

Input Parameters

queue

The queue where the routine should be executed.

n

Number of elements in vector x.

x

Pointer to input vector x. Size of the array holding vector x must be least (1 + (n - 1)*abs(incx)). See Matrix Storage for more details.

incx

Stride of vector x.

dependencies

List of events to wait for before starting computation, if any. If omitted, defaults to no dependencies.

Output Parameters

result

Pointer to where the scalar result is stored.

Return Values

Output event to wait on to ensure computation is complete.

BLAS Level 1 Routines axpy