# sdsdot¶

Computes a vector-vector dot product with double precision.

Description

The sdsdot routines perform a dot product between two vectors with double precision:

$result = sb + \sum_{i=1}^{n}X_iY_i$

## sdsdot (Buffer Version)¶

Syntax

namespace oneapi::mkl::blas::column_major {
void sdsdot(sycl::queue &queue,
std::int64_t n,
float sb,
sycl::buffer<float,1> &x,
std::int64_t incx,
sycl::buffer<float,1> &y,
std::int64_t incy,
sycl::buffer<float,1> &result)
}
namespace oneapi::mkl::blas::row_major {
void sdsdot(sycl::queue &queue,
std::int64_t n,
float sb,
sycl::buffer<float,1> &x,
std::int64_t incx,
sycl::buffer<float,1> &y,
std::int64_t incy,
sycl::buffer<float,1> &result)
}

Input Parameters

queue

The queue where the routine should be executed.

n

Number of elements in vectors x and y.

sb

Single precision scalar to be added to the dot product.

x

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

incx

Stride of vector x.

y

Buffer holding input vector y. The buffer must be of size at least (1 + (n - 1)*abs(incxy)). See Matrix Storage for more details.

incy

Stride of vector y.

Output Parameters

result

Buffer where the result (a scalar) will be stored. If n < 0 the result is sb.

## sdsdot (USM Version)¶

Syntax

namespace oneapi::mkl::blas::column_major {
sycl::event sdsdot(sycl::queue &queue,
std::int64_t n,
float sb,
const float *x,
std::int64_t incx,
const float *y,
std::int64_t incy,
float *result,
const std::vector<sycl::event> &dependencies = {})
}
namespace oneapi::mkl::blas::row_major {
sycl::event sdsdot(sycl::queue &queue,
std::int64_t n,
float sb,
const float *x,
std::int64_t incx,
const float *y,
std::int64_t incy,
float *result,
const std::vector<sycl::event> &dependencies = {})
}

Input Parameters

queue

The queue where the routine should be executed.

n

Number of elements in vectors x and y.

sb

Single precision scalar to be added to the dot product.

x

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

incx

Stride of vector x.

y

Pointer to the input vector y. The array must be of size at least (1 + (n - 1)*abs(incxy)). See Matrix Storage for more details.

incy

Stride of vector y.

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 result (a scalar) will be stored. If n < 0 the result is sb.

Return Values

Output event to wait on to ensure computation is complete.

Parent topic: BLAS Level 1 Routines