Computes a vector-scalar product and adds the result to a vector.
event axpy(queue &exec_queue, std::int64_t n, T alpha, const T *x, std::int64_t incx, T *y, std::int64_t incy, const vector_class<event> &dependencies = {});
The USM version of axpy supports the following precisions and devices.
T | Devices Supported |
---|---|
float | Host, CPU, and GPU |
double | Host, CPU, and GPU |
std::complex<float> | Host, CPU, and GPU |
std::complex<double> | Host, CPU, and GPU |
The axpy routines compute a scalar-vector product and add the result to a vector:
y <- alpha*x+y
where:
x and y are vectors of n elements,
alpha is a scalar.
The queue where the routine should be executed.
Number of elements in vector x.
Specifies the scalar alpha.
Pointer to the input vector x. The array holding the vector x must be of size at least (1 + (n – 1)*abs(incx)). See Matrix and Vector Storage for more details.
Stride of vector x.
Pointer to the input vector y. The array holding the vector y must be of size at least (1 + (n – 1)*abs(incy)). See Matrix and Vector Storage for more details.
Stride of vector y.
List of events to wait for before starting computation, if any. If omitted, defaults to no dependencies.
Pointer to the updated vector y.
Output event to wait on to ensure computation is complete.
An example of how to use axpy can be found in the Intel® oneMKL installation directory, under:
examples/sycl/blas/axpy.cpp