syr

Computes a rank-1 update of a symmetric matrix.

Description

The syr routines compute a scalar-vector-vector product add them and add the result to a matrix, with a symmetric matrix. The operation is defined as

A  \leftarrow alpha*x*xT + A

where:

  • alpha is scalar,

  • A is an n-by-n symmetric matrix,

  • x is a vector of length n.

API

Syntax

namespace oneapi::mkl::blas::column_major {
    void syr(sycl::queue &queue,
             onemkl::uplo upper_lower,
             std::int64_t n,
             T alpha,
             sycl::buffer<T,1> &x,
             std::int64_t incx,
             sycl::buffer<T,1> &a,
             std::int64_t lda)
}
namespace oneapi::mkl::blas::row_major {
    void syr(sycl::queue &queue,
             onemkl::uplo upper_lower,
             std::int64_t n,
             T alpha,
             sycl::buffer<T,1> &x,
             std::int64_t incx,
             sycl::buffer<T,1> &a,
             std::int64_t lda)
}

syr supports the following precisions and devices.

T

Devices Supported

float

Host, CPU, and GPU

double

Host, CPU, and GPU

Input Parameters

exec_queue

The queue where the routine should be executed.

upper_lower

Specifies whether A is upper or lower triangular. See Data Types for more details.

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 + (n - 1)*abs(incx)). See Matrix and Vector Storage for more details.

incx

Stride of vector x.

a

Buffer holding input matrix A. Must have size at least lda*n. See Matrix and Vector Storage for more details.

lda

Leading dimension of matrix A. Must be at least n, and positive.

Output Parameters

a

Buffer holding the updated upper triangularpart of the symmetric matrix A if upper_lower =upper or the updated lower triangular part of thesymmetric matrix A if upper_lower =lower.