oneapi::mkl::sparse::set_coo

oneMKL - Data Parallel C++ Developer Reference

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ID 772045

Date 6/24/2024

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oneapi::mkl::sparse::set_coo_data

Takes a matrix handle and the user-provided Coordinate (COO) matrix format arrays and fills the internal COO data structure of the matrix handle.

Description
API

Description

The oneapi::mkl::sparse::set_coo_data routine takes a sparse::matrix_handle_t for a sparse matrix of dimensions nrows -by- ncols represented in the COO format, and fills the internal state of the matrix handle with the user provided arrays in COO format. Refer to the user/library contract for information on the use of the sparse::matrix_handle_t object.

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.

API

Syntax

Using SYCL buffers:

namespace oneapi::mkl:sparse {
    void set_coo_data (
        sycl::queue &queue,
        oneapi::mkl::sparse::matrix_handle_t spMat,
        const INT_TYPE nrows,
        const INT_TYPE ncols,
        const INT_TYPE nnz,
        oneapi::mkl::index_base index,
        sycl::buffer<INT_TYPE, 1> &row_ind,
        sycl::buffer<INT_TYPE, 1> &col_ind,
        sycl::buffer<DATA_TYPE, 1> &values);
 }

Using USM pointers:

namespace oneapi::mkl:sparse {

    sycl::event set_coo_data (
        sycl::queue &queue,
        oneapi::mkl::sparse::matrix_handle_t spMat,
        const INT_TYPE nrows,
        const INT_TYPE ncols,
        const INT_TYPE nnz,
        oneapi::mkl::index_base index,
        INT_TYPE *row_ind,
        INT_TYPE *col_ind,
        DATA_TYPE *values,
        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.

spMat

Handle to object containing sparse matrix and other internal data for subsequent Sparse BLAS operations.

nrows

Number of rows of the input matrix.

ncols

Number of columns of the input matrix.

nnz

Number of non-zero elements in the input matrix.

index

Indicates how input arrays are indexed.

`oneapi::mkl::index_base::zero`	Zero-based (C-style) indexing: indices start at 0.
`oneapi::mkl::index_base::one`	One-based (Fortran-style) indexing: indices start at 1.

row_ind

SYCL memory object of length nnz which stores an array containing the row indices in index-based numbering. Could be a SYCL buffer or a device-accessible USM pointer. Refer to Sparse Storage Formats for a detailed description of row_ind.

col_ind

SYCL memory object of length nnz which stores an array containing the column indices in index-based numbering. Could be a SYCL buffer or a device-accessible USM pointer. Refer to Sparse Storage Formats for a detailed description of col_ind.

values

SYCL memory object which stores an array containing the non-zero elements of the input matrix. Could be a SYCL buffer or a device-accessible USM pointer. Refer to Sparse Storage Formats for a detailed description of values.

dependencies

USM API only. A vector of type const std::vector<sycl::event> & containing the list of events that the oneapi::mkl::sparse::set_coo_data routine depends on.

Summary of Input COO Arrays

A summary of the COO input arrays, sizes, and types (see Sparse BLAS Supported Data and Integer Types) is contained in the following table. We use the term number of non-zeros or for short, nnz, to refer to the count of elements of the matrix and sparsity pattern represented by the COO matrix format as described in Sparse Storage Formats.

For sycl::buffer inputs, the arrays are of type sycl::buffer<T, 1> &.

For USM inputs, the arrays must be device-accessible and of type T *. The recommended USM memory type is described in the following table. In general, using USM device memory will provide a better performance than USM shared, which in turn will give better performance than USM host, but all are supported as they are all device-accessible.

array	length (elements)	T	USM Memory Type
row_ind	`nnz`	INT_TYPE	device accessible (USM device or USM shared or USM host)
col_ind	`nnz`	`INT_TYPE`	device accessible (USM device or USM shared or USM host)
values	`nnz`	`DATA_TYPE`	device accessible (USM device or USM shared or USM host)

Output Parameters

spMat: Handle to object containing sparse matrix and other internal data for subsequent DPC++ Sparse BLAS operations.
sycl::event: USM API only. A sycl::event that can be used to track the completion of asynchronous events that were enqueued during the API call that continue the chain of events from the input dependencies.

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oneMKL - Data Parallel C++ Developer Reference

oneapi::mkl::sparse::set_coo_data

Description

API