gerc#
Computes a rank-1 update (conjugated) of a general complex matrix.
Description
The gerc routines compute a scalar-vector-vector product and add the
result to a general matrix. The operation is defined as:
where:
alpha is a scalar,
A is an m-by-n matrix,
x is a vector of length m,
y is vector of length n.
gerc supports the following precisions.
T
std::complex<float>
std::complex<double>
gerc (Buffer Version)#
Syntax
namespace oneapi::mkl::blas::column_major {
    void gerc(sycl::queue &queue,
              std::int64_t m,
              std::int64_t n,
              T alpha,
              sycl::buffer<T,1> &x,
              std::int64_t incx,
              sycl::buffer<T,1> &y,
              std::int64_t incy,
              sycl::buffer<T,1> &a,
              std::int64_t lda)
}
namespace oneapi::mkl::blas::row_major {
    void gerc(sycl::queue &queue,
              std::int64_t m,
              std::int64_t n,
              T alpha,
              sycl::buffer<T,1> &x,
              std::int64_t incx,
              sycl::buffer<T,1> &y,
              std::int64_t incy,
              sycl::buffer<T,1> &a,
              std::int64_t lda)
}
Input Parameters
- queue
 The queue where the routine should be executed.
- m
 Number of rows of
A. Must be at least zero.- n
 Number of columns of
A. Must be at least zero.- alpha
 Scaling factor for the matrix-vector product.
- x
 Buffer holding input vector
x. The buffer must be of size at least (1 + (m- 1)*abs(incx)). See Matrix Storage for more details.- incx
 Stride of vector
x. Must not be zero.- y
 Buffer holding input/output 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. Must not be zero.- a
 Buffer holding input matrix
A. Must have size at leastlda*nif column major layout is used or at leastlda*mif row major layout is used. See Matrix Storage for more details.- lda
 Leading dimension of matrix
A. Must be positive and at leastmif column major layout is used or at leastnif row major layout is used.
Output Parameters
- a
 Buffer holding the updated matrix
A.
Throws
This routine shall throw the following exceptions if the associated condition is detected. An implementation may throw additional implementation-specific exception(s) in case of error conditions not covered here.
gerc (USM Version)#
Syntax
namespace oneapi::mkl::blas::column_major {
    sycl::event gerc(sycl::queue &queue,
                     std::int64_t m,
                     std::int64_t n,
                     value_or_pointer<T> alpha,
                     const T *x,
                     std::int64_t incx,
                     const T *y,
                     std::int64_t incy,
                     T *a,
                     std::int64_t lda,
                     const std::vector<sycl::event> &dependencies = {})
}
namespace oneapi::mkl::blas::row_major {
    sycl::event gerc(sycl::queue &queue,
                     std::int64_t m,
                     std::int64_t n,
                     value_or_pointer<T> alpha,
                     const T *x,
                     std::int64_t incx,
                     const T *y,
                     std::int64_t incy,
                     T *a,
                     std::int64_t lda,
                     const std::vector<sycl::event> &dependencies = {})
}
Input Parameters
- queue
 The queue where the routine should be executed.
- m
 Number of rows of
A. Must be at least zero.- n
 Number of columns of
A. Must be at least zero.- alpha
 Scaling factor for the matrix-vector product. See Scalar Arguments in BLAS for more details.
- x
 Pointer to the input vector
x. The array holding input vectorxmust be of size at least (1 + (m- 1)*abs(incx)). See Matrix Storage for more details.- incx
 Stride of vector
x. Must not be zero.- y
 Pointer to the input/output vector
y. The array holding the input/output vectorymust be of size at least (1 + (n- 1)*abs(incy)). See Matrix Storage for more details.- incy
 Stride of vector
y. Must not be zero.- a
 Pointer to input matrix
A. The array holding input matrixAmust have size at leastlda*nif column major layout is used or at leastlda*mif row major layout is used. See Matrix Storage for more details.- lda
 Leading dimension of matrix
A. Must be positive and at leastmif column major layout is used or at leastnif row major layout is used.- dependencies
 List of events to wait for before starting computation, if any. If omitted, defaults to no dependencies.
Output Parameters
- a
 Pointer to the updated matrix
A.
Return Values
Output event to wait on to ensure computation is complete.
Throws
This routine shall throw the following exceptions if the associated condition is detected. An implementation may throw additional implementation-specific exception(s) in case of error conditions not covered here.
oneapi::mkl::unsupported_device
Parent topic: BLAS Level 2 Routines