The goal certainly is to maintain it. I will request nlhepler to see if he can transfer the repo to JuliaLang, which will help with maintenance.
-viral On Thursday, August 28, 2014 4:05:27 PM UTC+5:30, Florian Oswald wrote: > > I'm mentioning this because we there's a dangling issue on the topic since > 24 of May: > > https://github.com/nlhepler/ClusterManagers.jl/issues/13 > > > On 28 August 2014 10:53, Florian Oswald <[email protected]> wrote: > >> no problem about adding this to clustermanagers.jl. just one question: is >> that repo still maintained? it seemed there was very little activity there >> recently. i can submit a PR there if that's the preferred solution. >> >> >> On 28 August 2014 00:38, Stefan Karpinski <[email protected]> wrote: >> >>> That's cool. It would be great if we can extract the parts of this that >>> are not specific to the particular system you're running on and generic to >>> PBS and added it to the ClusterManagers package. Thanks also for reporting >>> your success story – it's always nice to hear them, regardless of magnitude >>> :-) >>> >>> >>> On Wed, Aug 27, 2014 at 6:38 PM, Florian Oswald < >>> [email protected]> wrote: >>> >>>> Dear All, >>>> >>>> after bugging this list long enough with questions about how to get >>>> Julia running in parallel on a Torque/PBS managed cluster I thought I'd >>>> share my experience with the list. I realise that by julia standards this >>>> is a rather modest achievement, but I'd been happy to come across >>>> something >>>> like this post a while ago. :-) >>>> >>>> So, there's nothing special about the cluster being PBS managed (rather >>>> than SGE or whatever), I just found that each system is as idiosyncratic >>>> as >>>> the sysadmin person who set it up (starting from the format of nodenames >>>> to >>>> scheduler options to how environment variables get forwarded into a node, >>>> etc etc), so it always takes a fair amount of hacking to get something >>>> running. It's pretty low quality hacking I would say, but it's painful on >>>> a >>>> cluster. You basically need to adapt the functions in iridis_launcher.jl >>>> in >>>> the below repo to your system. Very few of the issues actually had >>>> anything >>>> to do with Julia itself, so I tried to explain as much about the >>>> environment as possible. Again, just sharing this in the hope someone out >>>> there is trying to achieve something similar may find this useful: >>>> >>>> https://github.com/floswald/parallelTest/tree/master/julia/iridis >>>> >>>> >>>> >>> >> >
