oneapi::mkl::sparse::omatcopy

oneMKL - Data Parallel C++ Developer Reference

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ID 772045

Date 10/31/2024

Version

Public

Visible to Intel only — GUID: GUID-B8D3DC76-189B-4CD9-A0A6-DF7C5D92310F

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oneapi::mkl::sparse::omatcopy

Performs an out-of-place copy/transpose of user data in a matrix handle into user data in a new handle without changing the sparse matrix format.

Description
API

Description

The oneapi::mkl::sparse::omatcopy API copies user-provided sparse matrix arrays stored in a given sparse matrix handle into those provided in another sparse matrix handle. The routine enables users to perform a transpose operation and/or a change in array indexing in the copy. Only out-of-place copy/transpose is supported through this API.

NOTE:

Refer to Error Handling for a detailed description of the possible exceptions thrown.

NOTE:

This routine modifies arrays provided to oneMKL through the matrix handle creation routines, oneapi::mkl::sparse::set_<sparse_matrix_type>_data. Arrays of only the output matrix handle are modified, and those of the input handle are not.

API

Syntax

Using USM and SYCL buffers:

namespace oneapi::mkl::sparse {
    sycl::event omatcopy (
        sycl::queue &queue,
        oneapi::mkl::transpose transpose_val,
        oneapi::mkl::sparse::matrix_handle_t spMat_in,
        oneapi::mkl::sparse::matrix_handle_t spMat_out,
        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.

transpose_val

Specifies operation op() on input matrix.

oneapi::mkl::transpose::nontrans

Non-transpose, op(A) = A.

oneapi::mkl::transpose::trans

Transpose, op(A) = A^T.

oneapi::mkl::transpose::conjtrans

Conjugate transpose, op(A) = A^H.

spMat_in

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

NOTE:

The supported cases for <sparse_matrix_type> are csr and coo on both CPU and GPU devices. spMat_out must be created with the same <sparse_matrix_type>.

spMat_out

Handle to object containing output sparse matrix and other internal data. Created using one of the oneapi::mkl::sparse::set_<sparse_matrix_type>_data routines. Note that the sparse matrix dimensions/array lengths of this output handle must be same as that of the input handle in case of oneapi::mkl::transpose::nontrans operation. The number of rows and columns of this output matrix handle for oneapi::mkl::transpose::trans and oneapi::mkl::transpose::conjtrans operations must be the number of columns and rows of the input matrix handle, respectively. Also note that in case of a transpose operation, the number of non-zeros in the sparse matrix remains unchanged.

NOTE:

The supported cases for <sparse_matrix_type> are csr and coo on both CPU and GPU devices. spMat_in must be created with the same <sparse_matrix_type>.

dependencies

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

Return Values

sycl::event

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

// Examples of API arguments and usage
sycl::event ev_opt = sparse::omatcopy(queue, trans_val, spMat_in, spMat_out);               // Allowed use in case of USM
sycl::event ev_opt = sparse::omatcopy(queue, trans_val, spMat_in, spMat_out, {});           // Allowed use in case of USM
sycl::event ev_opt = sparse::omatcopy(queue, trans_val, spMat_in, spMat_out, dependencies); // Allowed use in case of USM
sparse::omatcopy(queue, trans_val, spMat_in, spMat_out);                                    // Recommended use in case of sycl::buffer
sparse::omatcopy(queue, trans_val, spMat_in, spMat_out, {});                                // Not recommended in case of sycl::buffer, but supported;
sparse::omatcopy(queue, trans_val, spMat_in, spMat_out, dependencies);                      // Not recommended in case of sycl::buffer, but supported;
sycl::event ev_opt = sparse::omatcopy(queue, trans_val, spMat_in, spMat_out);               // Not recommended in case of sycl::buffer, but supported. Note that most sycl::buffer oneMKL APIs do not have ability to pass in dependencies

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oneapi::mkl::sparse::omatcopy

Description

API