syr2¶
Computes a rank-2 update of a symmetric matrix.
Description¶
The syr2 routines compute two scalar-vector-vector products, add them
and add the result to a matrix, with a symmetric matrix. The
operation is defined as:

where:
alphais a scalarAisnxnsymmetric matrixxandyare vectors of lengthn
syr2 supports the following precisions:
T  | 
|---|
  | 
  | 
syr2 (Buffer Version)¶
Syntax¶
namespace oneapi::mkl::blas::column_major {
    void syr2(sycl::queue &queue,
              oneapi::mkl::uplo upper_lower,
              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 syr2(sycl::queue &queue,
              oneapi::mkl::uplo upper_lower,
              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.
- upper_lower
 Specifies whether matrix
Ais upper or lower triangular. See Data Types for more details.- 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 + (n- 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*n. See Matrix Storage for more details.- lda
 Leading dimension of matrix
A. Must be at leastnand positive.
Output Parameters¶
- a
 Buffer holding updated upper triangular part of the symmetric matrix
Aifupper_lower=upper, or updated lower triangular part of the symmetric matrixAifupper_lower=lower.
syr2 (USM Version)¶
Syntax¶
namespace oneapi::mkl::blas::column_major {
    sycl::event syr2(sycl::queue &queue,
                     oneapi::mkl::uplo upper_lower,
                     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 syr2(sycl::queue &queue,
                     oneapi::mkl::uplo upper_lower,
                     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.
- upper_lower
 Specifies whether matrix
Ais upper or lower triangular. See Data Types for more details.- 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 + (n- 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 holding input matrixAmust be at leastlda*n. See Matrix Storage for more details.- lda
 Leading dimension of matrix
A. Must be at leastnand positive.- dependencies
 List of events to wait for before starting computation, if any. If omitted, defaults to no dependencies.
Output Parameters¶
- a
 Pointer to updated upper triangular part of the symmetric matrix
Aifupper_lower=upper, or updated lower triangular part of the symmetric matrixAifupper_lower=lower.
Return Values¶
Output event to wait on to ensure computation is complete.