[NLPL Task Force (A)] Abel for teaching
Stephan Oepen
oe at ifi.uio.no
Wed Aug 14 09:58:59 UTC 2019
hi again, sara,
i am copying the NLPL infrastructure task force and joakim (member of
the steering group), as i find this an interesting question, where
ideally we should come up with a good solution for future occasions!
you had mentioned before the summer, that you were also looking for
gpu acccess from one of the swedish centers, but it sounds as if you
are currently not very optimistic about that?
the situation in norway is as follows: the Abel successor (Saga) is
completing its successful trial period these days and will likely go
in production in early september. Saga has 32 modern gpus, so with a
bit of luck there should be some capacity between mid-september and
early november (i expect we will perceive a shortage of gpu capacity
again soon enough, though, possibly well before the end of the year).
at the same time, Abel will probably remain in production until
sometime in november, and one could also speculate on the transition
of users to Saga freeing up gpu capacity there. my impression from
talking to yves earlier this year is that the old K20 gpus actually
are fully sufficient for decent job sizes and training times using
OpenNMT.
for either of these two scenarios, i am thinking we should request a
kind of confirmation from the NLPL infrastructure task force and from
the system administrators (primarily USIT, both for Abel and Saga),
for example regarding general availability of Saga by mid-september or
remaining life time for Abel until november.
among the two candidate scenarios above, would you have a clear
preference? any comments or words of wisdom from other infrastructure
members?
in terms of software, what would you need?
best wishes, oe
On Wed, Aug 14, 2019 at 11:41 AM Sara Stymne <sara.stymne at lingfil.uu.se> wrote:
>
> Hi Stephan, and others!
>
> I just wanted to check if there is any progress on this.
>
> Best,
> Sara
>
>
>
> 20 jun 2019 kl. 12:56 skrev Sara Stymne <sara.stymne at lingfil.uu.se>:
>
> The course will run September to the beginning of November. I expect them to need gpu from around mid September. There will be around 20 students, but they will be working in pairs, so around 10 student groups.
>
> Best,
> Sara
>
> The course will run September to the beginning of November. I expect them to need gpu from around mid September. There will be around 20 students, but they will be working in pairs, so around 10 student groups.
>
> Best,
> Sara
>
> ---- Stephan Oepen skrev ----
>
> hi sara,
>
> i am taking the liberty of copying the NLPL steering group (which
> subsumes the infrastructure task force), because you raise an
> interesting question: availability of gpu resources, and their use in
> a teaching scenario.
>
> > I am teaching our MT course this autumn, and we're planning to introduce more NMT. To have any type of reasonable lab and project assignments, we will need GPU's, though. I am trying to figure out how to manage that. I have also checked with a Swedish cluster. But if that fails, do you think it would it be OK to use Abel within NLPL for our master students, and have them do some NMT tasks there?
>
> in principle, i would say: yes. but just now it is hard to predict
> how things will play out in practice. Abel has few and old gpu nodes,
> and this past semester there have been periods when one had to wait
> for at least several days before getting a gpu job to run. Abel will
> be replaced by a new system, called Saga, starting (hopefully) already
> in august this year. this may mean that Abel load will be
> substantially lighter in the fall semester, but it may also mean that
> Abel becomes unavailable before the end of the year.
>
> so, one could then ask the same question about Saga. in principle, i
> would again say that NLPL is intended to facility HPC use in research
> and (advanced) teaching. the NMT software and data you will want to
> use are likely part of the NLPL infrastructure (and if not, maybe
> should be); teachning NMT, as you point out, is hardly feasible
> without gpu access. so what are we going to do, if not slip these
> students in on the NLPL systems?
>
> exactly over which time period will your class need gpu resources?
> and do you have an estimate of the number of active students?
>
> best wishes, oe
> hi sara,
>
> i am taking the liberty of copying the NLPL steering group (which
> subsumes the infrastructure task force), because you raise an
> interesting question: availability of gpu resources, and their use in
> a teaching scenario.
>
> I am teaching our MT course this autumn, and we're planning to introduce more NMT. To have any type of reasonable lab and project assignments, we will need GPU's, though. I am trying to figure out how to manage that. I have also checked with a Swedish cluster. But if that fails, do you think it would it be OK to use Abel within NLPL for our master students, and have them do some NMT tasks there?
>
>
> in principle, i would say: yes. but just now it is hard to predict
> how things will play out in practice. Abel has few and old gpu nodes,
> and this past semester there have been periods when one had to wait
> for at least several days before getting a gpu job to run. Abel will
> be replaced by a new system, called Saga, starting (hopefully) already
> in august this year. this may mean that Abel load will be
> substantially lighter in the fall semester, but it may also mean that
> Abel becomes unavailable before the end of the year.
>
> so, one could then ask the same question about Saga. in principle, i
> would again say that NLPL is intended to facility HPC use in research
> and (advanced) teaching. the NMT software and data you will want to
> use are likely part of the NLPL infrastructure (and if not, maybe
> should be); teachning NMT, as you point out, is hardly feasible
> without gpu access. so what are we going to do, if not slip these
> students in on the NLPL systems?
>
> exactly over which time period will your class need gpu resources?
> and do you have an estimate of the number of active students?
>
> best wishes, oe
>
>
>
>
>
>
>
>
>
>
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