Overview of Intel® oneAPI Math Kernel Library (oneMKL) Sparse BLAS...

Intel® oneAPI Math Kernel Library (oneMKL) - Data Parallel C++ Developer Reference

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Date 12/16/2022

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Overview of Intel® oneAPI Math Kernel Library (oneMKL) Sparse BLAS for DPC++

The following pages describe the oneMKL Sparse BLAS computational routines for DPC++ in detail. These routines, along with other helper routines (see Sparse BLAS Routines for full list), are declared in the header file oneapi/mkl/spblas.hpp.

Several conventions are used throughout this document:

All oneMKL DPC++ functions and data types are inside the mkl namespace.
For brevity, the cl::sycl namespace is omitted from DPC++ object types, such as buffers and queues. For example a single-precision, 1D buffer A would be written buffer<float,1> &A instead of sycl::buffer<float,1> &A.
The routines are overloaded on precision. Each routine has a table detailing the supported precisions.

Device Support

DPC++ supports several types of devices:

Host device: Performs computations directly on the current CPU.
CPU device: Performs computations on a CPU using OpenCL™.
GPU device: Performs computations on a GPU using OpenCL™ or Level Zero.

Each routine details the device types that are currently supported.

In the current release of oneMKL DPC++ Sparse BLAS, all listed routines support use on CPU and GPU devices (unless otherwise noted) with the Compressed Sparse Row (CSR) matrix format.

Routine	Data Types	Description
Level 2:
sparse::gemv	float, double	General sparse matrix-dense vector product
sparse::gemvdot	float, double	General sparse matrix-dense vector product with fused dot product
sparse::symv	float, double	Symmetric sparse matrix-dense vector product
sparse::trmv	float, double	Triangular sparse matrix-dense vector product
sparse::trsv	float, double	Triangular solve of sparse matrix against a dense vector.
Level 3:
sparse::gemm	float, double	General sparse matrix-dense matrix product with dense matrix output
sparse::matmat	float, double	General sparse matrix-sparse matrix product with sparse matrix output. Supports only CPU and GPU devices.

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Intel® oneAPI Math Kernel Library (oneMKL) - Data Parallel C++ Developer Reference

Overview of Intel® oneAPI Math Kernel Library (oneMKL) Sparse BLAS for DPC++

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