The mythology surrounding the Intel tools and libraries really ought to die. It's bizarre seeing people deciding they must use MKL rather than the linear algeb

The mythology surrounding the Intel tools and libraries really ought to die. It's bizarre seeing people deciding they must use MKL rather than the linear algebra libraries on which AMD has been working hard to optimize for their hardware (and possibly other hardware incidentally). Similarly for compiler code generation. Free BLASs are pretty much on a par with MKL, at least for large dimension level 3 in BLIS's case, even on Haswell. For small matrices MKL only became fast after libxsmm showed the way. (I don't know about libxsmm on current AMD hardware, but it's free software you can work on if necessary, like AMD have done with BLIS.) OpenBLAS and BLIS are infinitely better performing than MKL in general because they can run on all CPU architectures (and BLIS's plain C gets about 75% of the hand-written DGEMM kernel's performance). The differences between the implementations are comparable with the noise in typical HPC jobs, even if performance was entirely dominated by, say, DGEMM (and getting close to peak floating point intensity is atypical). On the other hand, you can see a factor of several difference in MPI performance in some cases.