Intel® Math Kernel Library (Intel® MKL)

The Fastest and Most-Used

Math Library for Intel®-Based Systems¹

Accelerate math processing routines, increase application performance, and reduce development time. This ready-to-use math library includes:

Linear Algebra | Fast Fourier Transforms (FFT) | Deep Neural Networks | Vector Statistics & Data Fitting | Vector Math & Miscellaneous Solvers

Free Download

One Solution for Multiple Environments

Intel® Math Kernel Library (Intel® MKL) optimizes code with minimal effort for future generations of Intel® processors. It is compatible with your choice of compilers, languages, operating systems, and linking and threading models.

Features highly optimized, threaded, and vectorized math functions that maximize performance on each processor family
Utilizes industry-standard C and Fortran APIs for compatibility with popular BLAS, LAPACK, and FFTW functions—no code changes required
Dispatches optimized code for each processor automatically without the need to branch code

Explore Benchmarks

What's New

Optimized math functions that enable convolutional and deep neural networks
Extended Intel® Threading Building Blocks layer support that covers all BLAS Level 1 functions
Enhanced ScaLAPACK performance for symmetric eigensolvers on a high-performance computing (HPC) cluster
Improved optimizations for newer Intel processors, especially Intel® Xeon Phi™ processors

Release Notes

Support

Community Forum
Connect to the developer community and our tech experts through this public forum.

Priority Customer Support
New software purchases include free updates and confidential priority customer support for a year through our Online Service Center. Get direct access to our technical experts when you purchase Intel MKL as a stand-alone product or bundled with Intel Parallel Studio XE or Intel System Studio.

Online Service Center | License FAQ

Key Specifications

Supported Hardware
Intel® Xeon Phi™ processor
Intel® Xeon® processor
Intel® Core™ processor family
Intel® Atom® processor

Operating Systems
Windows*
Linux*
macOS*

Supported Integrated Development Environments
Microsoft Visual Studio* (Windows)
Eclipse* (Linux and macOS)

Programming Languages
C, C++, and Fortran development (native support)
Python through Intel Distribution for Python (optimizes standard Python libraries that include NumPy, SciPY, and scikit-learn)

System Requirements

Downloads

Free Stand-Alone Version
This version includes public forum support.

Free Open-Source Intel® Math Kernel Library for Deep Neural Networks
Develop deep learning frameworks and applications.

Bundled Versions
Optimize standard Python* libraries, including NumPy, SciPY, and scikit-learn using Intel® Distribution for Python*.

These versions include priority customer support:

Intel® Parallel Studio XE

Intel® System Studio

Case Studies

Accelerating Apache Spark* Machine Learning Libraries (MLlib)

Cloudera delivers huge performance speedups for Spark MLlib users through integration with Intel MKL.

A Very Good Kitty, Indeed

Puss in Boots from DreamWorks Animation SKD* uses Intel MKL to help create dazzling special effects.

Optimized Biomedical Software

Boost parallel scalability and build a solid foundation for supporting offload acceleration for an Intel® Xeon Phi™ coprocessor.

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Source

1. Data from Evans Data Software Developer surveys, 2011-2016