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Urblauna

Kesako?

Urblauna (Romanche), or Lagopède Alpin in French, is a bird known for its changing plumage which functions as a very effective camouflage. More information is available at https://www.vogelwarte.ch/fr/oiseaux/les-oiseaux-de-suisse/lagopede-alpin

It's also the name of our new sensitive data compute cluster which will replace the Jura cluster.

Information on how to connect to Urblauna can be found here.

Information on the Jura to Urblauna migration can be found here

The differences between Jura and Urblauna are described here

Hardware

Compute

The cluster is composed of 18 compute nodes of which two have GPUs. All have the same 24 core processor.

Number of nodesMemoryCPUGPU
161024 GB2 x AMD Epyc3 7443-
21024 GB2 x AMD Epyc3 74432 x NVIDIA A100
The GPUs are partitioned to create 4 GPUs on each machine with 20GB of memory per GPU

Storage

The storage is based on IBM Spectrum Scale / Lenovo DSS and provides 1PB of space in the /data filesystem.

Whilst reliable this space is not backed up and all important data should also be stored on /archive

The Curnagl /work filesystem is visible in read-only mode on Urblauna and can be used to install software on an internet connected system before using it on Urblauna.

**Filesystem mount point** **Description**
/usersUrblauna home directory
/scratchUrblauna scratch space (automatic cleanup)
/dataUrblauna data space (no backup)
/archiveSecure data space with backup (login node access only)
/workCurnagl data space (read only)
/jura_homeJura home directories (read only, login node only)
/jura_dataJura data space (read only, login node only)

Software

For information on the DCSR software stack see the following link:

https://wiki.unil.ch/ci/books/high-performance-computing-hpc/page/dcsr-software-stack

Slurm partitions

On Urblauna there are two partitions - "urblauna" and "interactive"

$ sinfo

PARTITION   AVAIL  TIMELIMIT  NODES  STATE NODELIST
urblauna*      up 3-00:00:00     17   idle sna[002-016],snagpu[001-002]
interactive    up    8:00:00      4   idle sna[015-016],snagpu[001-002]

There is no separate GPU partition so to use a GPU simply request

#SBATCH --gres=gpu:1

To launch an interactive session you can use Sinteractive as on Curnagl