Ah, I see. Sorry for the reactionary comment - but this feature falls
squarely within my "jurisdiction", and we've invested a lot in improving
OMPI jobstart under srun.

That being said (now that I've taken some deep breaths and carefully read
your original email :)), what you're proposing isn't a bad idea. I think it
would be good to maybe add a "--with-pmi2" flag to configure since
"--with-pmi" automagically uses PMI2 if it finds the header and lib. This
way, we could experiment with PMI1/PMI2 without having to rebuild SLURM or
hack the installation.

Josh


On Wed, May 7, 2014 at 10:45 AM, Ralph Castain <r...@open-mpi.org> wrote:

> Okay, then we'll just have to develop a workaround for all those Slurm
> releases where PMI-2 is borked :-(
>
> FWIW: I think people misunderstood my statement. I specifically did *not*
> propose to *lose* PMI-2 support. I suggested that we change it to
> "on-by-request" instead of the current "on-by-default" so we wouldn't keep
> getting asked about PMI-2 bugs in Slurm. Once the Slurm implementation
> stabilized, then we could reverse that policy.
>
> However, given that both you and Chris appear to prefer to keep it
> "on-by-default", we'll see if we can find a way to detect that PMI-2 is
> broken and then fall back to PMI-1.
>
>
> On May 7, 2014, at 7:39 AM, Joshua Ladd <jladd.m...@gmail.com> wrote:
>
> Just saw this thread, and I second Chris' observations: at scale we are
> seeing huge gains in jobstart performance with PMI2 over PMI1. We 
> *CANNOT*loose this functionality. For competitive reasons, I cannot provide 
> exact
> numbers, but let's say the difference is in the ballpark of a full
> order-of-magnitude on 20K ranks versus PMI1. PMI1 is completely
> unacceptable/unusable at scale. Certainly PMI2 still has scaling issues,
> but there is no contest between PMI1 and PMI2.  We (MLNX) are actively
> working to resolve some of the scalability issues in PMI2.
>
> Josh
>
> Joshua S. Ladd
> Staff Engineer, HPC Software
> Mellanox Technologies
>
> Email: josh...@mellanox.com
>
>
> On Wed, May 7, 2014 at 4:00 AM, Ralph Castain <r...@open-mpi.org> wrote:
>
>> Interesting - how many nodes were involved? As I said, the bad scaling
>> becomes more evident at a fairly high node count.
>>
>> On May 7, 2014, at 12:07 AM, Christopher Samuel <sam...@unimelb.edu.au>
>> wrote:
>>
>> > -----BEGIN PGP SIGNED MESSAGE-----
>> > Hash: SHA1
>> >
>> > Hiya Ralph,
>> >
>> > On 07/05/14 14:49, Ralph Castain wrote:
>> >
>> >> I should have looked closer to see the numbers you posted, Chris -
>> >> those include time for MPI wireup. So what you are seeing is that
>> >> mpirun is much more efficient at exchanging the MPI endpoint info
>> >> than PMI. I suspect that PMI2 is not much better as the primary
>> >> reason for the difference is that mpriun sends blobs, while PMI
>> >> requires that everything be encoded into strings and sent in little
>> >> pieces.
>> >>
>> >> Hence, mpirun can exchange the endpoint info (the dreaded "modex"
>> >> operation) much faster, and MPI_Init completes faster. Rest of the
>> >> computation should be the same, so long compute apps will see the
>> >> difference narrow considerably.
>> >
>> > Unfortunately it looks like I had an enthusiastic cleanup at some point
>> > and so I cannot find the out files from those runs at the moment, but
>> > I did find some comparisons from around that time.
>> >
>> > This first pair are comparing running NAMD with OMPI 1.7.3a1r29103
>> > run with mpirun and srun successively from inside the same Slurm job.
>> >
>> > mpirun namd2 macpf.conf
>> > srun --mpi=pmi2 namd2 macpf.conf
>> >
>> > Firstly the mpirun output (grep'ing the interesting bits):
>> >
>> > Charm++> Running on MPI version: 2.1
>> > Info: Benchmark time: 512 CPUs 0.0959179 s/step 0.555081 days/ns
>> 1055.19 MB memory
>> > Info: Benchmark time: 512 CPUs 0.0929002 s/step 0.537617 days/ns
>> 1055.19 MB memory
>> > Info: Benchmark time: 512 CPUs 0.0727373 s/step 0.420933 days/ns
>> 1055.19 MB memory
>> > Info: Benchmark time: 512 CPUs 0.0779532 s/step 0.451118 days/ns
>> 1055.19 MB memory
>> > Info: Benchmark time: 512 CPUs 0.0785246 s/step 0.454425 days/ns
>> 1055.19 MB memory
>> > WallClock: 1403.388550  CPUTime: 1403.388550  Memory: 1119.085938 MB
>> >
>> > Now the srun output:
>> >
>> > Charm++> Running on MPI version: 2.1
>> > Info: Benchmark time: 512 CPUs 0.0906865 s/step 0.524806 days/ns
>> 1036.75 MB memory
>> > Info: Benchmark time: 512 CPUs 0.0874809 s/step 0.506255 days/ns
>> 1036.75 MB memory
>> > Info: Benchmark time: 512 CPUs 0.0746328 s/step 0.431903 days/ns
>> 1036.75 MB memory
>> > Info: Benchmark time: 512 CPUs 0.0726161 s/step 0.420232 days/ns
>> 1036.75 MB memory
>> > Info: Benchmark time: 512 CPUs 0.0710574 s/step 0.411212 days/ns
>> 1036.75 MB memory
>> > WallClock: 1230.784424  CPUTime: 1230.784424  Memory: 1100.648438 MB
>> >
>> >
>> > The next two pairs are first launched using mpirun from 1.6.x and then
>> with srun
>> > from 1.7.3a1r29103.  Again each pair inside the same Slurm job with the
>> same inputs.
>> >
>> > First pair mpirun:
>> >
>> > Charm++> Running on MPI version: 2.1
>> > Info: Benchmark time: 64 CPUs 0.410424 s/step 2.37514 days/ns 909.57 MB
>> memory
>> > Info: Benchmark time: 64 CPUs 0.392106 s/step 2.26913 days/ns 909.57 MB
>> memory
>> > Info: Benchmark time: 64 CPUs 0.313136 s/step 1.81213 days/ns 909.57 MB
>> memory
>> > Info: Benchmark time: 64 CPUs 0.316792 s/step 1.83329 days/ns 909.57 MB
>> memory
>> > Info: Benchmark time: 64 CPUs 0.313867 s/step 1.81636 days/ns 909.57 MB
>> memory
>> > WallClock: 8341.524414  CPUTime: 8341.524414  Memory: 975.015625 MB
>> >
>> > First pair srun:
>> >
>> > Charm++> Running on MPI version: 2.1
>> > Info: Benchmark time: 64 CPUs 0.341967 s/step 1.97897 days/ns 903.883
>> MB memory
>> > Info: Benchmark time: 64 CPUs 0.339644 s/step 1.96553 days/ns 903.883
>> MB memory
>> > Info: Benchmark time: 64 CPUs 0.284424 s/step 1.64597 days/ns 903.883
>> MB memory
>> > Info: Benchmark time: 64 CPUs 0.28115 s/step 1.62702 days/ns 903.883 MB
>> memory
>> > Info: Benchmark time: 64 CPUs 0.279536 s/step 1.61769 days/ns 903.883
>> MB memory
>> > WallClock: 7476.643555  CPUTime: 7476.643555  Memory: 968.867188 MB
>> >
>> >
>> > Second pair mpirun:
>> >
>> > Charm++> Running on MPI version: 2.1
>> > Info: Benchmark time: 64 CPUs 0.366327 s/step 2.11995 days/ns 939.527
>> MB memory
>> > Info: Benchmark time: 64 CPUs 0.359805 s/step 2.0822 days/ns 939.527 MB
>> memory
>> > Info: Benchmark time: 64 CPUs 0.292342 s/step 1.69179 days/ns 939.527
>> MB memory
>> > Info: Benchmark time: 64 CPUs 0.293499 s/step 1.69849 days/ns 939.527
>> MB memory
>> > Info: Benchmark time: 64 CPUs 0.292355 s/step 1.69187 days/ns 939.527
>> MB memory
>> > WallClock: 7842.831543  CPUTime: 7842.831543  Memory: 1004.050781 MB
>> >
>> > Second pair srun:
>> >
>> > Charm++> Running on MPI version: 2.1
>> > Info: Benchmark time: 64 CPUs 0.347864 s/step 2.0131 days/ns 904.91 MB
>> memory
>> > Info: Benchmark time: 64 CPUs 0.346367 s/step 2.00444 days/ns 904.91 MB
>> memory
>> > Info: Benchmark time: 64 CPUs 0.29007 s/step 1.67865 days/ns 904.91 MB
>> memory
>> > Info: Benchmark time: 64 CPUs 0.279447 s/step 1.61717 days/ns 904.91 MB
>> memory
>> > Info: Benchmark time: 64 CPUs 0.280824 s/step 1.62514 days/ns 904.91 MB
>> memory
>> > WallClock: 7522.677246  CPUTime: 7522.677246  Memory: 969.433594 MB
>> >
>> >
>> > So to me it looks like (for NAMD on our system at least) that
>> > PMI2 does seem to give better scalability.
>> >
>> > All the best!
>> > Chris
>> > - --
>> > Christopher Samuel        Senior Systems Administrator
>> > VLSCI - Victorian Life Sciences Computation Initiative
>> > Email: sam...@unimelb.edu.au Phone: +61 (0)3 903 55545
>> > http://www.vlsci.org.au/      http://twitter.com/vlsci
>> >
>> > -----BEGIN PGP SIGNATURE-----
>> > Version: GnuPG v1.4.14 (GNU/Linux)
>> > Comment: Using GnuPG with Thunderbird - http://www.enigmail.net/
>> >
>> > iEYEARECAAYFAlNp28UACgkQO2KABBYQAh8hagCfewbbxUR6grg5R40GrwjtIZV0
>> > 1KYAn2uX0yKLdOEbkHARKouzwFilaTTD
>> > =A/Yw
>> > -----END PGP SIGNATURE-----
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