oneapi::mkl::sparse::gemv

Computes a sparse matrix-dense vector product.

Syntax

Note

Complex types are not currently supported.

Using SYCL buffers:

void oneapi::mkl::sparse::gemv(cl::sycl::queue &queue, oneapi::mkl::transpose transpose_flag, const fp alpha, oneapi::mkl::sparse::matrix_handle_t handle, cl::sycl::buffer<fp, 1> &x, const fp beta, cl::sycl::buffer<fp, 1> &y)

Using USM pointers:

cl::sycl::event oneapi::mkl::sparse::gemv(cl::sycl::queue &queue, oneapi::mkl::transpose transpose_flag, const fp alpha, oneapi::mkl::sparse::matrix_handle_t handle, const fp *x, fp beta, fp *y, const cl::sycl::vector_class<cl::sycl::event> &dependencies = {})

Include Files

  • mkl_spblas_sycl.hpp

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 oneapi::mkl::sparse::gemv routine computes a sparse matrix-dense vector product defined as

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

where:

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

Input Parameters

queue

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

transpose_flag

Specifies operation op() on input matrix.

oneapi::mkl::transpose::nontrans

Non-transpose, op(A) = A.

oneapi::mkl::transpose::trans

Transpose, op(A) = AT.

oneapi::mkl::transpose::conjtrans

Conjugate transpose, op(A) = AH.

Note

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

alpha

Specifies the scalar alpha.

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

dependencies

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

Example

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

examples/sycl/spblas/sparse_gemv.cpp

examples/sycl/spblas/sparse_gemv_usm.cpp
oneapi::mkl::sparse::optimize_trsv oneapi::mkl::sparse::gemvdot