[MOAB-dev] adding 'read and broadcast' to HDF5 reader
Rob Latham
robl at mcs.anl.gov
Fri Oct 19 15:33:17 CDT 2012
On Fri, Oct 19, 2012 at 03:16:46PM -0500, Iulian Grindeanu wrote:
> Hello Rob,
> I think that change has to happen in src/parallel/ReadParallel.cpp
> I am not sure yet though, Tim would confirm that
Interesting. What is this POPT_BCAST option?
I don't want to change all of moab into 'rank 0 does i/o' --
obviously that's not going to scale.
But for some of these inputs we are looking at datasets that are not
all that big:
/intrepid-fs0/users/tautges/persistent/meshes/2bricks/nogeom/64bricks_8mtet_ng_rib_2048.h5m
has a 7995686 x 4 "connectivity" dataset, but I know from talking with
jason that you are only pulling one column out of this array, so 61
MiBytes.
==rob
>
> ----- Original Message -----
>
> | Tim knows all this but for the rest of the list, here's the short
> | story:
>
>
> | MOAB's HDF5 reader and writer have a problem on BlueGene where it will
>
> | collectively read in initial conditions or write output, and run out
>
> | of memory. This out-of-memory condition comes from MOAB doing all the
>
> | right things -- using HDF5, using collective I/O -- but the MPI-IO
>
> | library on Intrepid goes and consumes too much memory.
>
>
> | I've got one approach to deal with the MPI-IO memory issue for writes.
>
> | This approach would sort of work for the reads, but what is really
>
> | needed is for rank 0 to do the read and broadcast the result to
>
> | everyone.
>
>
> | So, I'm looking for a little help understanding MOAB's read side of
>
> | the code. Conceptually, all processes read the table of entities.
>
>
> | A fairly small 'mbconvert' job will run out of memory:
>
>
> | 512 nodes, 2048 processors:
>
>
> | ======
>
> | NODES=512
>
> | CORES=$(($NODES * 4))
>
> | cd /intrepid-fs0/users/robl/scratch/moab-test
>
>
> | cqsub -t 15 -m vn -p SSSPP -e MPIRUN_LABEL=1:BG_COREDUMPONEXIT=1 \
>
> | -n $NODES -c $CORES /home/robl/src/moab-svn/build/tools/mbconvert\
>
> | -O CPUTIME -O PARALLEL_GHOSTS=3.0.1 -O PARALLEL=READ_PART \
>
> | -O PARALLEL_RESOLVE_SHARED_ENTS -O PARTITION -t \
>
> | -o CPUTIME -o PARALLEL=WRITE_PART
> | /intrepid-fs0/users/tautges/persistent/meshes/2bricks/nogeom/64bricks_8mtet_ng_rib_${CORES}.h5m
> | \
>
> | /intrepid-fs0/users/robl/scratch/moab/8mtet_ng-${CORES}-out.h5m
>
> | ======
>
>
> | I'm kind of stumbling around ReadHDF5::load_file and
>
> | ReadHDF5::load_file_partial trying to find a spot where a collection
>
> | of tags are read into memory. I'd like to, instead of having all
>
> | processors do the read, have just one processor read and then send the
>
> | tag data to the other processors.
>
>
> | First, do I remember the basic MOAB concept correctly: that early on
>
> | every process reads the exact same tables out of the (in this case
>
> | HDF5) file?
>
>
> | If I want rank 0 to do all the work and send data to other ranks,
>
> | where's the best place to slip that in? It's been a while since I did
>
> | anything non-trivial in C++, so some of these data structures are kind
>
> | of greek to me.
>
>
> | thanks
>
> | ==rob
>
>
> | --
>
> | Rob Latham
>
> | Mathematics and Computer Science Division
>
> | Argonne National Lab, IL USA
>
>
>
--
Rob Latham
Mathematics and Computer Science Division
Argonne National Lab, IL USA
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