Re: [julia-users] Sharing success: running Julia on PBS cluster across compute nodes

2014-08-31 Thread Viral Shah
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 florian.osw...@gmail.com 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 ste...@karpinski.org 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 
 florian.osw...@gmail.com 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







Re: [julia-users] Sharing success: running Julia on PBS cluster across compute nodes

2014-08-28 Thread Florian Oswald
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 ste...@karpinski.org 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 florian.osw...@gmail.com
 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






Re: [julia-users] Sharing success: running Julia on PBS cluster across compute nodes

2014-08-28 Thread Florian Oswald
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 florian.osw...@gmail.com 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 ste...@karpinski.org 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 florian.osw...@gmail.com
  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







[julia-users] Sharing success: running Julia on PBS cluster across compute nodes

2014-08-27 Thread Florian Oswald
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




Re: [julia-users] Sharing success: running Julia on PBS cluster across compute nodes

2014-08-27 Thread Stefan Karpinski
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 florian.osw...@gmail.com
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