axpby#
Computes a vector-scalar product added to a scaled-vector.
Description
The axpby
routines compute two scalar-vector product and add them:
where x
and y
are vectors of n
elements and alpha
and beta
are scalars.
axpby
supports the following precisions.
T
float
double
std::complex<float>
std::complex<double>
axpby (Buffer Version)#
Syntax
namespace oneapi::mkl::blas::column_major {
void axpby(sycl::queue &queue,
std::int64_t n,
T alpha,
sycl::buffer<T,1> &x, std::int64_t incx,
T beta,
sycl::buffer<T,1> &y, std::int64_t incy)
}
namespace oneapi::mkl::blas::row_major {
void axpby(sycl::queue &queue,
std::int64_t n,
T alpha,
sycl::buffer<T,1> &x, std::int64_t incx,
T beta,
sycl::buffer<T,1> &y, std::int64_t incy)
}
Input Parameters
- queue
The queue where the routine should be executed.
- n
Number of elements in vector
x
andy
.- alpha
Specifies the scalar
alpha
.- 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 between two consecutive elements of the
x
vector.- beta
Specifies the scalar
beta
.- y
Buffer holding input vector
y
. The buffer must be of size at least (1 + (n
– 1)*abs(incy
)). See Matrix Storage for more details.- incy
Stride between two consecutive elements of the
y
vector.
Output Parameters
- y
Buffer holding the updated vector
y
.
axpby (USM Version)#
Syntax
namespace oneapi::mkl::blas::column_major {
sycl::event axpby(sycl::queue &queue,
std::int64_t n,
T alpha,
const T *x, std::int64_t incx,
const T beta,
T *y, std::int64_t incy,
const std::vector<sycl::event> &dependencies = {})
}
namespace oneapi::mkl::blas::row_major {
sycl::event axpby(sycl::queue &queue,
std::int64_t n,
T alpha,
const T *x, std::int64_t incx,
const T beta,
T *y, std::int64_t incy,
const std::vector<sycl::event> &dependencies = {})
}
Input Parameters
- queue
The queue where the routine should be executed.
- n
Number of elements in vector
x
andy
.- alpha
Specifies the scalar alpha.
- beta
Specifies the scalar beta.
- x
Pointer to the input vector
x
. The allocated memory must be of size at least (1 + (n
– 1)*abs(incx
)). See Matrix Storage for more details.- incx
Stride between consecutive elements of the
x
vector.- y
Pointer to the input vector
y
. The allocated memory must be of size at least (1 + (n
– 1)*abs(incy
)). See Matrix Storage for more details.- incy
Stride between consecutive elements of the
y
vector.- dependencies
List of events to wait for before starting computation, if any. If omitted, defaults to no dependencies.
Output Parameters
- y
Array holding the updated vector
y
.
Return Values
Output event to wait on to ensure computation is complete.
Parent topic: BLAS-like Extensions