I have also heard of supercomputing centres having policies around not allowing languages that may waste cycles. It would be nice to get Julia on that list of approved languages.
If it helps, we can have a writeup along these lines on the julia website, targeted towards admins of supercomputing centres. -viral On Wednesday, April 29, 2015 at 6:20:13 AM UTC+5:30, Andreas Noack wrote: > > As I'm writing this, I'm running Julia on a pretty new 90 node cluster. I > don't know if that counts as medium size cluster, but recently it was > reported on the mailing list that Julia was running on > > http://www.top500.org/system/178451 > > which I think counts as a supercomputer. > > 2015-04-28 19:58 GMT-04:00 Lyndon White <[email protected]>: > >> 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 >> > >
