[ogsa-wg] More comments: HPC Use Cases -- Base Case and Common Cases

[Balle, Susanne]

Marvin,

Enclosed find the remaining of my comments:

Page 5. (top paragraph) I think I know what you mean by "with the
ambiguity of distinguishing between scheduler crashes and network
partitions ". "scheduler crashes" is obvious. I am assuming that by
"network partitions" you are inferring that various sub-networks are
going to have different response time which will have an effect on the
time it takes to deliver a call-back message.

Reading further along in the same paragraph I am now not sure I know
what you mean by "network partitions".

Page 5. Section 3.3
The topic of this section is clear (described in the first line of the
paragraph) but of the section is a little confusing. 

"possibility that a client cannot directly tell whether its job
submission request has been successful ..." --> Do we expect the client
to re-submit the job if the submission failed or do we expect users to
inspect that their job has in fact been submitted and resubmit if
needed? I am wondering if we assume the later if that wouldn't result in
users re-launching their jobs several time if they do not see their job
listed in some state when pulling the job scheduler for the state of
their job?

I guess I do not understand why so much emphasis is put on the
"At-Most-Once" or "Exactly-Once".

Can't the client poll the Job scheduler and ask the JS for a list of
jobs queued, running, terminated, failed, etc.? It might be useful for
the client to be able to submit jobs with a special keyword like
JOB_SUBMITTED_BY since that would reduce the list it gets back. It would
be nice if the value for the keyword was a unique identifier but doesn't
have to be. Most schedulers allows you to name or associate a group to
programs so that feature could be used as special keyword.

Page 6. Section 3.4
General question: Are you taking into account that user applications
will require different software? 

1. For example if my executable is compiled for Linux, Intel platform
then I would like to run it on a Linux,Intel system and not a Linux,AMD
system. 

2. Are you assuming that the program will be compiled on the fly on the
allocated system? or pre-compiled and then staged?

I agree that staging the data is going to be an interesting topic.

All this is probably out-of-band for the HPC JS Profile but should be
considered somewhere. I am sure it is I just don't know where.

I like the section on virtual machines and think that they will be used
more and more in the future.

Page 7. Extended Resource Features
The second approach (arbitrary resource types ...) is the only one that
make sense to me since that approach is extensible. I believe that Moab
is implementing this approach as well.

Page 8. Extended Client/System Administrator Operations

Are you assuming that System Administrators will be able to perform sys
admin operations on somebody else's system? I don't think that is right.

You mention suspend-resume. Are you thinking of suspending a job running
across several clusters that are in different organizations? Or just
suspending a job on a single cluster/server?

Again I am trying to figure out how this fit in with "One important
aspect, is that the individual clusters should remain under the control
of their local system administrator and/or of their local policies". 

I believe that suspend-resume is a JS operation or an operation to be
performed by the local sys admin, NOT by remote sys admins.

If we are now talking about a meta-scheduler then yes it makes sense. In
the case of a meta-scheduler it might take over the individual JS and
schedule jobs base on its own policies, on its job reservation system,
etc. In this case I look at it as we have one deciding entity (the
meta-scheduler) and several "slaves". Moab and Maui are the only
meta-scheduler I an familiar with and they do take over the scheduling
decisions/node allocations/etc and just submit jobs to the local job
schedulers.

This does of course assume that the local system administrators have
agreed on a schedule when their cluster is shared within this greater
infrastructure. This is a different approach than having jobs passed
onto their local scheduler and run on their systems.

This just seems to be a different approach from the one that is taken in
this paper.
I might be wrong. If I am please educate me.

Page 9. Section 3.10

Don't forget UPC (Unified Parallel C: http://upc.nersc.gov/). This
parallel programming paradigm is getting more and more interest from
several communities.
We'll need to provide support for UPC as well.

Page 10. Section 3.13
A meta-scheduler approach that make sense to me is to allow developers
to submit their job to their local cluster using their "favorite"
scheduler commands and then have the meta-scheduler load-balance the
work and forward the job to another system/cluster if needed. Moab from
cluster resources support this approach even if the clusters have
different JSs. They have a list of supported JS such as LSF, PBSpro,
SLURM, etc. and they can "translate" one JS's commands into another
within that supported set.

Page 11. SLURM is missing.

Let me know what you think,

Regards

Susanne

---------------------------------------------------------------
Susanne M. Balle,
Hewlett-Packard
High Performance Computing R&D Organization
110 Spit Brook Road
Nashua, NH 03062

Phone: 603-884-7732
Fax:     603-884-0630

Susanne.Balle at hp.com