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Does Eigen use MKL?
Eigen and Intel® Math Kernel Library (Intel® MKL)
Since Eigen version 3.1 and later, users can benefit from built-in Intel MKL optimizations with an installed copy of Intel MKL 10.3 (or later). Intel MKL provides highly optimized multi-threaded mathematical routines for x86-compatible architectures.
What is MKL in Python?
The Intel Math Kernel Library (MKL) is a cross-platform framework that contains highly optimized math routines for common computations such as vector mathematics, linear algebra, statistics, and Fourier transformations. Other software packages can utilize this library to provide efficient and optimized computations.
How do you link a MKL?
To link to MKL when compiling for serial code, use -mkl=sequential . To link to MKL when compiling for multithreaded code, use -mkl . To test linking LAPACK via MKL with the Intel compiler, compile the example code above, run it and save the results, then diff the resulting output with the original example output.
Is MKL library free?
Intel Math Kernel Library (MKL) Intel MKL is free to use in any commercial and academic purposes. Although it needs no charge, you have to register (free) to get the MKL package.
