.. _index:

Intel® oneAPI Math Kernel Library - Data Parallel C++ Developer Reference
=========================================================================

The |IONE-MKL| improves performance with
math routines for software applications that solve large computational
problems. |O-MKL| provides BLAS and LAPACK linear algebra routines, fast
Fourier transforms, vectorized math functions, random number generation
functions, and other functionality.


:ref:`whats-new`



This publication describes the Data Parallel C++ (DPC++) interface.

*DPC++* is ISO C++ plus Khronos SYCL with Intel extensions. For more
information, see `Intel® oneAPI DPC++ Compiler <https://www.intel.com/content/www/us/en/developer/tools/oneapi/dpc-compiler.html>`__.

Basic Linear Algebra Subprograms (BLAS)
   The :ref:`BLAS <blas-routines>`
   routines provide vector, matrix-vector, and matrix-matrix operations.

Sparse BLAS
   The :ref:`Sparse BLAS <sparse-blas-routines>`
   routines provide basic operations on sparse vectors and matrices.

LAPACK
   The :ref:`LAPACK <lapack-routines>`
   routines solve systems of linear equations, least square problems,
   eigenvalue and singular value problems, and Sylvester's equations.

Random Number Generators
   The :ref:`random-number-generators`
   provides a set of routines implementing commonly used pseudorandom
   and quasi-random generators with continuous and discrete
   distributions.

Summary Statistics
   :ref:`summary-statistics`
   provides routines that compute basic statistical estimates for single
   and double precision multi-dimensional datasets.

Vector Mathematics Functions
   The :ref:`vector-mathematical-functions` compute
   core mathematical functions on vector arguments.


Fourier Transform Functions
   The :ref:`fourier-transform-functions` offer
   several options for computing Fast Fourier Transforms (FFTs).

Data Fitting
   The :ref:`data-fitting`
   provides spline-based interpolation capabilities that can be used for
   spline construction (Linear, Cubic, Quadratic etc.),
   to perform cell-search operations, and to approximate functions,
   function derivatives, or integrals.

.. list-table::
   :header-rows: 1

   * - Product and Performance Information
   * - Performance varies by use, configuration and other factors. Learn more at `https://www.intel.com/PerformanceIndex <https://www.intel.com/PerformanceIndex>`__. Notice revision #20201201



.. toctree::
   :maxdepth: 1
   :hidden:

   whats-new
   intro-to-onemkl-blas-and-lapack-with-dpcpp
   overview-of-onemkl-blas-routines-for-dpcpp
   overview-of-onemkl-lapack-for-dpcpp
   data-types
   matrix-storage
   error-handling
   domains/blas/blas-routines
   domains/spblas/sparse-blas-routines
   domains/lapack/lapack-routines
   domains/vm/vector-mathematical-functions
   domains/rng/random-number-generators
   domains/stats/summary-statistics
   domains/dft/fourier-transform-functions
   domains/data_fitting/data-fitting
   bibliography
   appendix-a-onemkl-functionality
   notices-and-disclaimers