spr¶

Performs a rank-1 update of a symmetric packed matrix.

spr supports the following precisions.

T

float

double

Description

The spr routines compute a scalar-vector-vector product and add the result to a symmetric packed matrix. The operation is defined as

A <- alpha*x*x ^T + A

where:

alpha is scalar,

A is an n-by-n symmetric matrix, supplied in packed form,

x is a vector of length n.

spr (Buffer Version)¶

Syntax

void onemkl::blas::spr(sycl::queue &queue, onemkl::uplo upper_lower, std::std::int64_t n, T alpha, sycl::buffer<T, 1> &x, std::int64_t incx, sycl::buffer<T, 1> &a)¶

Input Parameters

queue: The queue where the routine should be executed.
upper_lower: Specifies whether A is upper or lower triangular. See oneMKL defined datatypes for more details.
n: Number of rows and 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 (n*(n-n))/2. See Matrix and Vector Storage for more details.

Output Parameters

a: Buffer holding the updated upper triangular part of the symmetric matrix A if upper_lower =upper, or the updated lower triangular part of the symmetric matrix A if upper_lower =lower.

Syntax

sycl::event onemkl::blas::spr(sycl::queue &queue, onemkl::uplo upper_lower, std::int64_t n, T alpha, const T *x, std::int64_t incx, T *a, const sycl::vector_class<sycl::event> &dependencies = {})¶

Input Parameters

queue: The queue where the routine should be executed.
upper_lower: Specifies whether A is upper or lower triangular. See oneMKL defined datatypes for more details.
n: Number of rows and columns of A. Must be at least zero.
alpha: Scaling factor for the matrix-vector product.
x: Pointer to input vector x. The array holding input vector x 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: Pointer to input matrix A. The array holding input matrix A must have size at least (n*(n-n))/2. See Matrix and Vector Storage for more details.
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 upper triangular part of the symmetric matrix A if upper_lower =upper, or the updated lower triangular part of the symmetric matrix A if upper_lower =lower.

Return Values

Output event to wait on to ensure computation is complete.

Parent topic: BLAS Level 2 Routines