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Intel® oneAPI Math Kernel Library  Data Parallel C++ Developer Reference
=========================================================================
The Intel® oneAPI Math Kernel Library (oneMKL) improves performance with
math routines for software applications that solve large computational
problems. oneMKL provides BLAS and LAPACK linear algebra routines, fast
Fourier transforms, vectorized math functions, random number generation
functions, and other functionality.
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*  \ `What's New `__\

This publication describes the Data Parallel C++ (DPC++) interface.
DPC++ = ISO C++ and Khronos SYCL and extensions.
Basic Linear Algebra Subprograms (BLAS)
The `BLAS `__
routines provide vector, matrixvector, and matrixmatrix operations.
Sparse BLAS
The `Sparse BLAS `__
routines provide basic operations on sparse vectors and matrices.
LAPACK
The `LAPACK `__
routines solve systems of linear equations, least square problems,
eigenvalue and singular value problems, and Sylvester's equations.
Random Number Generators
The `Random Number
Generators `__
provides a set of routines implementing commonly used pseudorandom
and quasirandom generators with continuous and discrete
distributions.
Summary Statistics
`Summary
Statistics `__
provides routines that compute basic statistical estimates for single
and double precision multidimensional datasets.
Vector Mathematics Functions
The `Vector Mathematics (VM)
functions `__ compute
core mathematical functions on vector arguments.
Fourier Transform Functions
The `Fourier Transform
Functions `__ offer
several options for computing Fast Fourier Transforms (FFTs).
Notices and Disclaimers
Software and workloads used in performance tests may have been
optimized for performance only on Intel microprocessors. Performance
tests, such as SYSmark and MobileMark, are measured using specific
computer systems, components, software, operations and functions. Any
change to any of those factors may cause the results to vary. You
should consult other information and performance tests to assist you
in fully evaluating your contemplated purchases, including the
performance of that product when combined with other products. For
more complete information visit
https://www.intel.com/content/www/us/en/benchmarks/benchmark.html.
INFORMATION IN THIS DOCUMENT IS PROVIDED "AS IS". NO LICENSE, EXPRESS
OR IMPLIED, BY ESTOPPEL OR OTHERWISE, TO ANY INTELLECTUAL PROPERTY
RIGHTS IS GRANTED BY THIS DOCUMENT. INTEL ASSUMES NO LIABILITY
WHATSOEVER AND INTEL DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY,
RELATING TO THIS INFORMATION INCLUDING LIABILITY OR WARRANTIES
RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR
INFRINGEMENT OF ANY PATENT, COPYRIGHT OR OTHER INTELLECTUAL PROPERTY
RIGHT.
© Intel Corporation.
OpenCL and the OpenCL logo are trademarks of Apple Inc. used by
permission by Khronos.
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* 
*  Intel's compilers may or may not optimize to the same degree for nonIntel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessordependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice. Notice revision #20110804
This notice covers the following instruction sets: SSE2, SSE4.2,
AVX2, AVX512.
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:maxdepth: 4
what'snew
introductiontotheinteloneapimathkernellibraryonemklblasandlapackwithdpcpp
overviewofintelonemklblasroutinesfordataparallelcpp
overviewofinteloneapimathkernellibraryonemkllapackfordpcpp
datatypes
matrixstorage
errorhandling
blasandsparseblasroutines
lapackroutines
vectormathematicalfunctions
randomnumbergenerators
summarystatistics
fouriertransformfunctions
bibliography
appendixaonemklfunctionality
noticesanddisclaimers