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== Intel Math Library ==
=== Introduction ===
The Intel oneAPI Math Kernel Library (MKL) is the fastest and most widely used math library for all intel based systems. It helps you reach high performance with its enhanced library of optimized math routines. It allows for faster math processing times, increased performance and shorter development times. The MKL supports seven main features; Linear Algebra, Sparse Linear Algebra, Data Fitting, Fast Fourier Transformations, Random Number Generation, Summary Statistics and Vector Math. These features will allow you to optimize applications for all current and future intel CPUs and GPUs.
=== Features ===
There are two main set of functions for the Vector Math library that the intel MKL uses they are:
- VM Mathematical Functions�Which Functions Which allows for it to compute values of mathematical functions e.g. sine, cosine, exponential, or logarithm on vectors that are stored in contiguous memory.
- VM Service Functions are used for showing when catching errors made in the calculations or accuracy. Such as catching error codes or error messages from improper calculations.
[https://github.com/oneapi-src/oneAPI-samples/blob/master/DirectProgramming/DPC%2B%2B/DenseLinearAlgebra/vector-add/src/vector-add-usm.cpp Vector-add]
located at the links provided.
=== Conclusion ===
The Intel oneAPI Math Kernel Library is available from the oneAPI base toolkit and it supports programming languages like C, C++, C#, DPC++ and Fortran. These features will help any financial, science or engineering applications run at an optimized level. The MKL is constantly updated on the Intel oneAPI website with lots of examples and tutorials available on their github. If there's any questions, feel free to ask us or refer to the Intel oneAPI website.