.. _overview-of-intel-onemkl-blas-routines-for-data-parallel-cpp:

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

The following pages describe the |O-MKL| 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 |O-MKL| for DPC++ data types and non domain specific
   functions are inside the ``oneapi::mkl::`` namespace.
-  All |O-MKL| 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 |O-MKL| BLAS for DPC++, all standard Level1,
Level2, and Level3 BLAS routines and the BLAS extensions support host, CPU, and GPU devices.