mkl::sparse::trmv

Computes a sparse matrix-dense vector product over upper or lower triangular parts of the matrix.

Syntax

Note

Currently, complex types are not supported.

Using SYCL buffers:

void mkl::sparse::trmv (cl::sycl::queue & queue, mkl::uplo uplo_flag, mkl::transpose transpose_flag, mkl::diag diag_flag, fp alpha, matrix_handle_t handle, cl::sycl::buffer<fp, 1> & x, fp beta, cl::sycl::buffer<fp, 1> & y);

Using USM pointers:

cl::sycl::event mkl::sparse::trmv (cl::sycl::queue & queue, mkl::uplo uplo_flag, mkl::transpose transpose_flag, mkl::diag diag_flag, fp alpha, matrix_handle_t handle, fp *x, fp beta, fp *y, cl::sycl::vector_class<cl::sycl::event> &dependencies = {});

Include Files

Description

Note

Refer to Supported Types for a list of supported <fp> and <intType> and refer to Exceptions for a detailed description of the exceptions thrown.

The mkl::sparse::trmv routine computes a sparse matrix-vector product over a triangular part defined as

					y := alpha* (op)A*x + beta*y
				

where:

alpha and beta are scalars, and x and y are vectors.

Input Parameters

queue

Specifies the SYCL command queue which will be used for SYCL kernels execution.

uplo_flag

Specifies which triangular matrix is to be processed.

mkl::uplo::lower

The lower triangular matrix part is processed.

mkl::uplo::upper

The upper triangular matrix part is processed.

transpose_flag

Specifies operation op() on input matrix.

mkl::transpose::nontrans

Non-transpose, op(A) = A.

mkl::transpose::trans

Transpose, op(A) = AT.

mkl::transpose::conjtrans

Conjugate transpose, op(A) = AH.

Note

Currently, the only supported case for operation is mkl::transpose::nontrans.

diag_flag

Specifies if the input matrix has a unit diagonal or not.

mkl::diag::nonunit

Diagonal elements might not be equal to one.

mkl::diag::unit

Diagonal elements are equal to one.

alpha

Specifies the scalar alpha.

handle

Handle to object containing sparse matrix and other internal data. Created using one of the mkl::sparse::set_ <sparse_matrix_type>_data routines.

Note

Currently, the only supported case for <sparse_matrix_type> is csr.

x

SYCL or USM memory object containing an array of size at least equal to the number of columns of input matrix if op = mkl::transpose::nontrans and at least the number of rows of input matrix otherwise.

beta

Specifies the scalar beta.

y

SYCL or USM memory object containing an array of size at least equal to the number of columns of input matrix if op = mkl::transpose::nontrans and at least the number of rows of input matrix otherwise.

dependencies

A vector of type cl::sycl::vector_class<cl::sycl::event> containing the list of events that the mkl::sparse::trmv routine depends on.

Output Parameters

y

Overwritten by the updated vector y.

Return Values (USM Only)

cl::sycl::event

SYCL event which can be waited upon or added as a dependency for the completion of the trmv routine.

Example

An example of how to use mkl::sparse::trmv with SYCL buffers can be found in the Intel® oneMKL installation directory, under:

examples/sycl/spblas/sparse_trmv.cpp