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Revision as of 15:35, 13 September 2018 by Pneyron (talk | contribs) (Using production resources)

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The Nancy Grid'5000 site also hosts clusters for production use. Those clusters are:

  • graphique, a 6-node Intel Xeon cluster, with 2 GPU per node (GTX 980 Nvidia, Titian Black)
  • graoully, a 16 nodes with 2 CPUs Intel Xeon E5-2630 v3, 8 cores/CPU, 126GB RAM, 2x558GB HDD, 10Gbps ethernet + infiniband cluster
  • grimani, a 6 nodes with 2 CPUs Intel Xeon E5-2603 v3, with 2 GPU per node (Tesla K40m), 6 cores/CPU, 64GB RAM, 1TB HDD, 10Gbps ethernet. Omni-Path is coming.
  • grele, a 14 nodes with 2 CPUs Intel Xeon E5-2650 v4, with 2 GPU per node (GTX 1080 Ti), 12 cores/CPU, 128GB RAM, 2x300GB SAS 15K rpm HDD, 10Gbps ethernet. Omni-Path is coming.

The usage rules differ from the rest of Grid'5000:

  • Advance reservations (oarsub -r) are not allowed (to avoid fragmentation). Only submissions (and reservations that start immediately) are allowed.
  • All Grid'5000 users can use those nodes (provided they meet the conditions stated in Grid5000:UsagePolicy), but it is expected that users outside of LORIA / Inria Nancy -- Grand Est will use their own local production resources in priority, and mostly use those resources for tasks that require Grid'5000 features. Examples of local production clusters are Tompouce (Saclay), Igrida (Rennes), Plafrim (Bordeaux), etc.

Using the resources

Getting an account

Please use the request form here.

  • The following fields must be filled as indicated (but the other fields (team, lab, ...) must be filled too):
    • manager: lnussbaum
    • site: nancy
    • groups, roles: none
    • privileges: user
  • You are automatically subscribed to the Grid'5000 users' mailing lists:

This list is the user-to-user or user-to-admin communication mean to address help/support requests for Grid'5000.

Learning to use Grid'5000

Refer to the Getting Started tutorial. There are other tutorial listed on the Users Home page.

Using deep learning software on Grid'5000

A tutorial for using deep learning software on Grid'5000, written by Ismael Bada is also available.

Using production resources

To access production resources, you need to submit jobs in the production queue or using the production job type:

oarsub -q production -I
oarsub -q production -p "cluster='talc'" -I
oarsub -q production -l nodes=2,walltime=240 -I
oarsub -q production -l walltime=24 -t deploy 'sleep 100d'


oarsub -t production -I
oarsub -t production -p "cluster='talc'" -I
oarsub -t production -l nodes=2,walltime=240 -I
oarsub -t production -l walltime=24 -t deploy 'sleep 100d'

Dashboards and status pages

Contact information and support


  • The Grid'5000 team can be contacted as described on the Support page.
  • The Grid'5000 responsable de site for Nancy is Lucas Nussbaum (
  • Ismael Bada (engineer funded by CPER LCHN) can also help local users, especially regarding requests related to deep learning on Grid'5000. (

To get support, you can:

The Grid'5000 team does not have the resources (manpower) to do user support, such as helping with writing scripts, creating system images, etc. If you need such help, please contact either Ismael Bada (see above), or the SED service.


Data storage

All data needed for experiments of production team is stored on talc-data NFS server. The capacity of this server is 58T. This includes:

  • talc_home: old talc home directories
  • talc_data[1-3]: various data and results used by several teams. Old backup of data.
  • One directory for each local team: data of each team

Those repositories are exported on Nancy frontend under the /talc directory. It is also exported on all Nancy nodes that runs the standard environment (jessie-x64-std) under the /talc repository.

Please remember that those data are hosted on a NFS server that is not recommended for compute usage.

For other shorter term storage support, see Storage5k.

I am physically located in the LORIA building, is there a shorter path to connect?

If for some reason you don't want to go through Grid'5000 national access machines (access-south and access-north), you can also connect directly using

Terminal.png mylaptop:

I have a large amount of jobs to execute, is there a better solution ?

Yes. You should have a look at CiGri. This middleware makes it easier to submit large number of jobs as best-effort jobs on Grid'5000. The advantage is that you would benefit from the computing power of the whole of Grid'5000 for your jobs, not just of Nancy's production resources.

How to access data in Inria/Loria is an access machine hosted on Loria side. That machine can be used to access all services in the Inria/Loria environment.

You need to use the SSH ProxyCommand for that purpose.

Ajust the following lines for your ~/.ssh/config

Host accessloria
        User jdoe # to be replaced by your LORIA login

Host *.loria
        User jdoe # to be replaced by your LORIA login
        ProxyCommand ssh accessloria -W $(basename %h .loria):%p

With that setup, you can now use :

  • Rsync to synchronize your data on Inria/Loria environment and data on your local home on Grid'5000 frontend
  • Sshfs to mount directly your data directory on Inria/Loria environment under your local home. <=> mount your /user/my_team/my_username (origin = on fnancy (destination = a folder on fnancy).


Terminal.png fnancy:
sshfs -o idmap=user jdoe@tregastel.loria:/users/myteam/jdoe ~/local_dir

To unmount the remote filesystem:

Terminal.png fnancy:
fusermount -u ~/local_dir
Note.png Note

Given that only accepts logins using SSH key, you cannot simply connect with your LORIA password.

I submitted a job, there are free resources, but my job doesn't start as expected!

Most likely, this is because of our configuration of resources restriction per walltime. In order to make sure that someone requesting only a few nodes, for a small amount of time will be able to get soon enough, the nodes are split into categories:

  • 20% of the nodes only accept jobs with walltime lower than 1h
  • 20% -- 2h
  • 20% -- 24h
  • 20% -- 48h
  • 20% accept all jobs (no limit on duration)

Note that best-effort jobs are excluded from those limitations.

Another enabled OAR feature that could impact the scheduling of your jobs is the OAR karma: this feature assigns a dynamic priority to submissions based on the history of submissions by a specific user. With that feature, the jobs from users that rarely submit jobs will be generally scheduled earlier than jobs from heavy users.

I have an important demo, can I reserve all resources in advance?

There's a special challenge queue that can be used to combine resources from the classic Grid'5000 clusters and the production clusters for special events. If you would like to use it, please get in touch with the clusters managers.

Can I use besteffort jobs in production ?

Yes, you can submit a besteffort job on the production resources by using OAR -t besteffort option. Here is an exemple:

Terminal.png fnancy:
oarsub -t besteffort -q production./

If you didn't specify the -q production option, your job could run on both production and non-production resources.

Is it possible to run Matlab?

Yes, through SSH tunneling to access UL license server (access to required). More information is available in this document.

Energy costs

Grid'5000 nodes are automatically shut down when they are not reserved so, when possible, it is a good idea to reserve nodes during cheaper time slots.

Electricity costs are currently:

  • Périodes:
    • Heures pointe: Décembre, Janvier, Février; 09H00-11H00/18H00-20H00
    • Heures Pleines Hiver: 06H00-22H00 (hors heures de pointe précisées à l’article 18).
    • Heures Creuses Hiver: 22H00-06H00
    • Heures Pleines Eté: 06H00-22H00
    • Heures Creuses Eté: 22H00-06H00
    • Le dimanche ne comprend que des heures creuses en hiver et été.
  • Cout du KWh
    • Heure pointe 10,893c€/KWh
    • Heure Pleine Hiver 6,535c€/KWh
    • Heure Creuse Hiver 4,474c€/KWh
    • Heure Pleine Eté 4,125c€/KWh
    • Heure Creuse Eté 2,580c€/KWh

How to cite / Comment citer

If you use the Grid'5000 production clusters for your research and publish your work, please add this sentence in the acknowledgements section of your paper:

Experiments presented in this paper were carried out using the Grid'5000 testbed, supported by a scientific interest group hosted by Inria and including CNRS, RENATER and several Universities as well as other organizations (see