Hi, I have a big numerical problem that julia is nice for. But I really want to farm it out over a few hundren cores.
I know my local research supercomputing provider (iVec since I am in Western Australia), prefers it if you are running programs in C or Fortran. But I know they have run things in Python and Matlab. I know they losely appreciate the trade off between development time and CPU time. But I think there main hesitation is the knowledge that the CPU cycles python wastes could be going to another project, and that other project could be curing cancer etc. Julia on the other hand is comparable to C or Fortran, so that objection is out. It is on the other hand imature and not exactly well known. (I would not be surpised if i was the only user in my universivy. It would help any argument I might have, or explination I need to render if I could say: They are using it on the super-computers in X. Have you, or do you know of anyone who used it on supercomputers / medium-large clusters? Did it go well? What are the pitfalls
