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sdsdot

Computes a vector-vector dot product with double precision.

Description

The
sdsdot
routines perform a dot product between two vectors with double precision. The operation is defined as:
LaTex Math image.

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
. Size of the buffer must be at least (1 + (
n
- 1)*abs(
incx
)). See ref:
matrix-storage
for more details.
incx
Stride of vector
x
.
y
Buffer holding input vector
y
. Size of the buffer must be at least (1 + (
n
- 1)*abs(
incxy
)). See ref:
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 input vector
x
. Size of the array must be at least (1 + (
n
- 1)*abs(
incx
)). See ref:
matrix-storage
for more details.
incx
Stride of vector
x
.
y
Pointer to the input vector
y
. Size of the array must be at least (1 + (
n
- 1)*abs(
incy
)). See ref:
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.

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.