Computational Speed


Another problem is that if Julia links to MKL with the 64-bit BLAS API then any packages that link to libraries using the ordinary MKL API (32-bit BLAS) will crash. For example, any packages calling Python numpy routines, such as PyPlot, will crash with an MKL numpy (see e.g.

Of course, this is related to MKL being non free/open-source β€” otherwise, we could recompile MKL with renamed symbols to avoid library conflicts, like we do with OpenBLAS. (We could try to do it at the binary level with objcopy ala … I’m not sure if that would be permissible according to the MKL license?)