not having to change your (OpenMP) code was exactly how Knight's corner was marketed, and it was also the reason why it tanked. IMO we're far off taking reasona

not having to change your (OpenMP) code was exactly how Knight's corner was marketed, and it was also the reason why it tanked. IMO we're far off taking reasonable advantage of massive parallelism without changing code. The main reason is blocking - on multiple levels, grid, multicore, vector. Compilers just aren't smart enough to do that for you - and at least CUDA has merged two of those together so you only need to care about two levels of blocking. Talking about Numpy, isn't that what Numba Pro is already doing with GPU?