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Overview of Intel® oneMKL BLAS Routines for Data Parallel C++

The following pages describe the oneMKL BLAS routines for Data Parallel C++ (DPC++), all of which are declared in the header file oneapi/mkl/blas.hpp.

Several conventions are used throughout this document:

  • All oneMKL for DPC++ data types and non domain specific functions are inside the oneapi::mkl:: namespace.

  • All oneMKL BLAS functions for DPC++ are inside the oneapi::mkl::blas namespace.

  • The routines are templated 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.

In the current release of oneMKL BLAS for DPC++, all standard Level1, Level2, and Level3 BLAS routines and the BLAS extensions support host, CPU, and GPU devices.

Introduction to the Intel® oneAPI Math Kernel Library (oneMKL) BLAS and LAPACK with DPC++ Overview of Intel® oneAPI Math Kernel Library (oneMKL) LAPACK for DPC++