To beat OpenBLAS is neither suprising nor it's not unheard of, for example D language library Mir for linear algebra did just that many years ago [1]. For C++

To beat OpenBLAS is neither suprising nor it's not unheard of, for example D language library Mir for linear algebra did just that many years ago [1]. For C++ and C implementation please check these metaprogramming approaches [2], [3]. What's really surprising is that many modern languages are still depending on OpenBLAS for examples Matlab, Julia, Mojo, etc. But to be fair they probably have their own reasons, right? [1] Numeric age for D: Mir GLAS is faster than OpenBLAS and Eigen (2016): http://blog.mir.dlang.io/glas/benchmark/openblas/2016/09/23/glas-gemm-benchmark.html http://blog.mir.dlang.io/glas/benchmark/openblas/2016/09/23/... [2] Vastly outperforming LAPACK with C++ metaprogramming (2018): https://wordsandbuttons.online/vastly_outperforming_lapack_with_cpp_metaprogramming.html https://wordsandbuttons.online/vastly_outperforming_lapack_w... [3] Outperforming LAPACK with C metaprogramming (2018): https://wordsandbuttons.online/outperforming_lapack_with_c_metaprogramming.html https://wordsandbuttons.online/outperforming_lapack_with_c_m...