oneapi::mkl::sparse::symv

oneMKL - Data Parallel C++ Developer Reference

Download PDF

ID 772045

Date 7/13/2023

Version

Public

A newer version of this document is available. Customers should click here to go to the newest version.

Visible to Intel only — GUID: GUID-E17B3D92-6B95-4E33-BD87-9E87547BC40A

View Details

oneapi::mkl::sparse::symv

Computes a sparse matrix-dense vector product for a symmetric matrix built from the lower or upper triangular of the input matrix.

Description
API
Examples

Description

NOTE:

Refer to Sparse BLAS Supported Data and Integer Types for a list of supported <DATA_TYPE> and <INT_TYPE> data and integer types and refer to Error Handling for a detailed description of the possible exceptions thrown.

The oneapi::mkl::sparse::symv routine computes a sparse symmetric matrix-dense vector product for a real symmetric matrix built from the lower or upper triangular portion of the input matrix defined as

where and are scalars, is a real-valued square sparse matrix of dimension rows and columns, is a matrix modifier which symmetrizes the matrix according to the oneapi::mkl::uplo value and and are dense vectors.

For a given matrix decomposition into lower, diagonal and upper parts , the symv routine with oneapi::mkl::uplo::lower selected will perform the matrix product with and for oneapi::mkl::uplo::upper will perform the matrix product using .

API

Syntax

NOTE:

Currently, complex types are not supported.

Using SYCL buffers:

namespace oneapi::mkl::sparse {
    void symv (
        sycl::queue &queue,
        oneapi::mkl::uplo uplo_flag,
        const DATA_TYPE alpha,
        oneapi::mkl::sparse::matrix_handle_t handle,
        sycl::buffer<DATA_TYPE, 1> &x,
        const DATA_TYPE beta,
        sycl::buffer<DATA_TYPE, 1> &y)
}

Using USM pointers:

namespace oneapi::mkl::sparse {
    sycl::event symv (
        sycl::queue &queue,
        oneapi::mkl::uplo uplo_flag,
        const DATA_TYPE alpha,
        oneapi::mkl::sparse::matrix_handle_t handle,
        DATA_TYPE *x,
        const DATA_TYPE beta,
        DATA_TYPE *y,
        const std::vector<sycl::event> &dependencies = {})
}

Include Files

oneapi/mkl/spblas.hpp

Input Parameters

queue

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

uplo_flag

Specifies which part is to be processed.

`oneapi::mkl::uplo::lower`	The lower part is used for symmetric product.
`oneapi::mkl::uplo::upper`	The upper part is used for symmetric product.

alpha

Specifies the scalar, .

handle

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

NOTE:

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

x

SYCL buffer or device-accessible USM pointer of size at least equal to the number of columns, , of input matrix.

beta

Specifies the scalar, .

y

SYCL buffer or device-accessible USM pointer of size at least equal to the number of rows, , of the input matrix.

dependencies

A vector of type std::vector<sycl::event> containing the list of events that the oneapi::mkl::sparse::symv routine depends on.

Output Parameters

y: Overwritten by the updated vector .

Return Values (USM Only)

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

Examples

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

examples/dpcpp/sparse_blas/source/sparse_symv.cpp

Select Your Language

Using Intel.com Search

Quick Links

Recent Searches

Advanced Search

Only search in

oneMKL - Data Parallel C++ Developer Reference

oneapi::mkl::sparse::symv

Description

API

Examples