BLASFEO (as BLAS For Embedded Optimization) provides a set of basic linear algebra routines, performance-optimized for matrices of moderate size (up to a couple hundreds elements in each dimension), as typically encountered in embedded optimization applications.
In the target matrix size range, the optimized version of BLASFEO outperforms both open-source (e.g. OpenBLAS, BLIS, ATLAS) and proprietary (e.g. MKL) BLAS and LAPACK implementations.

For an installation guide, examples or benchmarks, please visit the BLASFEO webpage or the BLASFEO github repository.