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. The operation is defined as:
where:
x
andy
are vectors ofn
elementsalpha
is a scalar
axpy
supports the following precisions:
T |
---|
|
|
|
|
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 scalar
alpha
.- 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
.- y
Buffer holding input vector
y
. Size of the buffer must be at least (1 + (n
– 1)*abs(incy
)). See Matrix Storage for more details.- incy
Stride of vector
y
.
Output Parameters¶
- y
Buffer holding updated vector
y
.
Examples¶
An example of how to use axpy
can be found in the oneMKL
installation directory, under:
examples/dpcpp/blas/source/axpy.cpp
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 scalar
alpha
.- x
Pointer to input vector
x
. Size of the array holding vectorx
must be at least (1 + (n
– 1)*abs(incx
)). See Matrix Storage for more details.- incx
Stride of vector
x
.- y
Pointer to input vector
y
. Size of the array holding vectory
must be 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 updated vector
y
.
Return Values¶
Output event to wait on to ensure computation is complete.