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

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)

Detailed System Requirements

Support

Community Forum
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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.

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Case Studies


Source

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