[yt-dev] embarrassingly parallel analysis

[Geoffrey So]

I can run parallelHOP in parallel, doesn't that mean I already have an
mpi-capable interpreter?

From
G.S.

On Fri, Mar 16, 2012 at 4:43 PM, Nathan Goldbaum <goldbaum at ucolick.org>wrote:

> Hi Geoffrey,
>
> You may need to build an mpi-capable python interpreter by hand.  See:
> http://mpi4py.scipy.org/docs/usrman/appendix.html#mpi-enabled-python-interpreter
>
> Nathan Goldbaum
> Graduate Student
> Astronomy & Astrophysics, UCSC
> goldbaum at ucolick.org
> http://www.ucolick.org/~goldbaum
>
> On Mar 16, 2012, at 4:37 PM, Geoffrey So wrote:
>
> Hi all, I was trying out pobj_demo.py from the workshop to see if I can
> parallelize my halo analysis script, but I ran into the problem where I see:
>
> >mpirun -n 2 python pobj_demo.py --parallel
>
> gives a warning at the end
>
> yt : [WARNING  ] 2012-03-16 16:25:05,445 parallel_objects() is being used
> when parallel_capable is false. The loop is not being run in parallel. This
> may not be what was expected.
>
> I've done a
> yt instinfo -u and got the latest tip:
>
> 052fac826701 (yt) tip
>
> but the problem persists.  I've tried printing inside the parallel loops
>
> for sto, sp in parallel_objects(spheres, num_procs, storage = my_storage):
>     print ytcfg.getint("yt", "__global_parallel_rank")
>     sto.result = sp.quantities['TotalQuantity']('CellMass')
>     sto.result_id = '%4e %4e %4e' % (sp.center[0],
> sp.center[1],sp.center[2])
>
> and I always get "0", but 20 of them, so I'm guessing that confirms the
> loop isn't running in parallel, and just runs the 10 spheres serially on 2
> processors, so I get double the results.
>
> Am I doing something wrong or missed something?
>
> From
> G.S.
>
>
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