ger¶
Computes a rank-1 update of a general matrix.
Description¶
The ger routines compute a scalar-vector-vector product and add the
result to a general matrix. The operation is defined as:

where:
alphais scalarAismxnmatrixxis a vector lengthmyis a vector lengthn
ger supports the following precisions:
T  | 
|---|
  | 
  | 
ger (Buffer Version)¶
Syntax¶
namespace oneapi::mkl::blas::column_major {
    void ger(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 ger(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 matrix
A. Must be at least zero.- n
 Number of columns of matrix
A. Must be at least zero.- alpha
 Scaling factor for the matrix-vector product.
- x
 Buffer holding input vector
x. Size of the buffer must be at least (1 + (m- 1)*abs(incx)). See Matrix Storage for more details.- incx
 Stride of vector
x.- y
 Buffer holding input/output 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.- a
 Buffer holding input matrix
A. Size of the buffer must be at leastlda*nif column major layout is used, or at leastlda*mif row major layout is used.- 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 updated matrix
A.
ger (USM Version)¶
Syntax¶
namespace oneapi::mkl::blas::column_major {
    sycl::event ger(sycl::queue &queue,
                    std::int64_t m,
                    std::int64_t n,
                    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 ger(sycl::queue &queue,
                    std::int64_t m,
                    std::int64_t n,
                    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 matrix
A. Must be at least zero.- n
 Number of columns of matrix
A. Must be at least zero.- alpha
 Scaling factor for the matrix-vector product.
- x
 Pointer to input vector
x. Size of the array holding input vectorxmust be at least (1 + (m- 1)*abs(incx)). See Matrix Storage for more details.- incx
 Stride of vector
x.- y
 Pointer to input/output vector
y. Size of the array holding input/output vectorymust be at least (1 + (n- 1)*abs(incy)). See Matrix Storage for more details.- incy
 Stride of vector
y.- a
 Pointer to input matrix
A. Size of the array must be at leastlda*nif column major layout is used, or at leastlda*mif row major layout is used.- 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 updated matrix
A.
Return Values¶
Output event to wait on to ensure computation is complete.