[IPython-User] engines dying due to excessive load
Thu Jun 28 19:04:37 CDT 2012
On Thu, Jun 28, 2012 at 3:28 PM, Robert Nishihara <email@example.com
> I've been trying to figure this out for a couple days now, and I'm curious
> if anyone has seen a similar problem.
> My setup is
> ipcontroller --profile=sge
> ipcluster engines -n 100 --profile=sge
> My script uses map_sync with a direct view. After running my script for a
> couple minutes, the load on the compute nodes grows excessively high and
> the scheduler starts suspending jobs, so some of the engines get suspended.
> This causes my script to terminate with an error like the one below
> [Engine Exception]EngineError: Engine 1315 died while running task
> The engine is numbered 1315 because I sometimes restart the engines
> without restarting the controller.
> Why would suspending an engine would cause my script to terminate instead
> of simply forcing it to wait?
> Why might the load be so high? Each node has 32 cores. At most twenty
> engines are running on each node. Yet, sometimes several hundred processes
> are vying for space on a given node (and I'm the only one using the
> cluster). Could it be the queuing of messages or something?
This is a bit of shot in the dark, but on our machines we need to set **
MKL_NUM_THREADS=1, otherwise some numpy functions (which I assume are
calling MKL functions) try and use 16 threads. Is it possible some of your
code, or some library you rely on, is mufti-threaded?
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