trmv (USM Version)

Computes a matrix-vector product using a triangular matrix.

Syntax

event trmv(queue &exec_queue, uplo upper_lower, transpose trans, diag unit_nonunit, std::int64_t n, const T *a, std::int64_t lda, T *x, std::int64_t incx, const vector_class<event> &dependencies = {})

The USM version of trmv supports the following precisions and devices.

T

Devices Supported

float

Host, CPU, and GPU

double

Host, CPU, and GPU

std::complex<float>

Host, CPU, and GPU

std::complex<double>

Host, CPU, and GPU

Description

The trmv routines compute a matrix-vector product with a triangular matrix. The operation is defined

x <- op(A)*x

where:

op(A) is one of op(A) = A, or op(A) = AT, or op(A) = AH,

A is an n-by-n unit or non-unit, upper or lower triangular band matrix,

x is a vector of length n.

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.

trans

Specifies op(A), the transposition operation applied to A. See Data Types for more details.

unit_nonunit

Specifies whether the matrix A is unit triangular or not. See Data Types for more details.

n

Numbers of rows and columns of A. Must be at least zero.

a

Pointer to input matrix A. The array 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.

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.

dependencies

List of events to wait for before starting computation, if any. If omitted, defaults to no dependencies.

Output Parameters

x

Pointer to the updated vector x.

Return Values

Output event to wait on to ensure computation is complete.