Hi Steve.
Regarding Step 3, have you thought of using some shared storage?
NFS shared drive perhaps, or there are many alternatives!

On 23 January 2016 at 20:47, Steve O'Hara <soh...@pivotal-solutions.co.uk>
wrote:

> Hi,
>
>
>
> I’m afraid I’m pretty new to both OpenFOAM and openMPI so please excuse me
> if my questions are either stupid or badly framed.
>
>
>
> I’ve created a 10 Raspberry pi beowulf cluster for testing out MPI
> concepts and see how they are harnessed in OpenFOAM.  After a helluva lot
> of hassle, I’ve got the thing running using OpneMPI to run a solver in
> parallel.
>
> The problem I have is that if I switch the server node to not use the
> cluster (still use 3 cores in an MPI job) the job finishes in x minutes. If
> I tell it to use the 9 other members of the cluster, the same job takes x
> times 3!
>
>
>
> This is what I’m doing;
>
>
>
> 1.       Create a mesh, adjust it with some other OF stuff
>
> 2.       Run the process to split the job into processes for each node
>
> 3.       Copy the process directories to each of the affected nodes using
> scp
>
> 4.       Run mpirun with a hosts file
>
> 5.       Re-constitute the case directory by copying back the processor
> folders
>
> 6.       Re-construct the case
>
>
>
> Only step 4 Uses MPI and the other steps have a reasonably linear response
> time.
>
> Step 4 is characterised by a flurry of network activity, followed by all
> the Pis lighting up with CPU activity followed a long time of no CPU
> activity but huge network action.
>
> It’s this last bit that is consuming all the time – is this a tear-down
> phase of MPI?
>
> Each of the Pi nodes is set up as slots=4 max_slots=4
>
>
>
> What is all the network activity?  It seems to happen after the solver has
> completed its job so I’m guessing it has to be MPI.
>
> The network interface on the Pi is not a stellar performer so is there
> anything I can do to minimise the network traffic?
>
>
>
> Thanks,
>
> Steve
>
>
>
>
>
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