axpy#
Computes a vector-scalar product and adds the result to a vector.
Description
The axpy routines compute a scalar-vector product and add the result
to a vector:
where:
x and y are vectors of n elements,
alpha is a scalar.
axpy supports the following precisions.
T
float
double
std::complex<float>
std::complex<double>
axpy (Buffer Version)#
Syntax
namespace oneapi::mkl::blas::column_major {
void axpy(sycl::queue &queue,
std::int64_t n,
T alpha,
sycl::buffer<T,1> &x,
std::int64_t incx,
sycl::buffer<T,1> &y,
std::int64_t incy)
}
namespace oneapi::mkl::blas::row_major {
void axpy(sycl::queue &queue,
std::int64_t n,
T alpha,
sycl::buffer<T,1> &x,
std::int64_t incx,
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.- 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 of vector
x.- 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 of vector
y.
Output Parameters
- y
Buffer holding the updated vector
y.
axpy (USM Version)#
Syntax
namespace oneapi::mkl::blas::column_major {
sycl::event axpy(sycl::queue &queue,
std::int64_t n,
T alpha,
const T *x,
std::int64_t incx,
T *y,
std::int64_t incy,
const std::vector<sycl::event> &dependencies = {})
}
namespace oneapi::mkl::blas::row_major {
sycl::event axpy(sycl::queue &queue,
std::int64_t n,
T alpha,
const T *x,
std::int64_t incx,
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.- alpha
Specifies the scalar alpha.
- x
Pointer to the input vector
x. The array holding the vectorxmust 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 holding the vectorymust be of size at least (1 + (n– 1)*abs(incy)). 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
- y
Pointer to the updated vector
y.
Return Values
Output event to wait on to ensure computation is complete.
Parent topic: BLAS Level 1 Routines