Hydra is a general purpose cluster and member of the VSC.

The cluster is capable to run all workload types (single core, SMP, MPI, HTC) and evolves in a continuous upgrade model.

Hydra description

Hydra is a cluster being continuously upgraded. Traditional clusters are purchased in one go and remain fixed for their lifetime (generally 4-5 years) until replaced by a new one. However, research is changing and evolving all the time. We have and will therefore invest regularly in Hydra to extend or adapt the cluster on a yearly basis to better meet users' needs.

Resources overview

The cluster is composed of about 160 compute nodes, covering several CPU generations. Part of the cluster has Infiniband network for MPI jobs. A GPFS storage of ~800 TB offers fast and large capacities for IO demanding jobs. There are nodes with 16, 20 or 24 cores and fitted with memory capacity from 64 GB to 1.5 TB of RAM. Several master nodes run the core services such as Moab, Torque or the LDAP servers.

Access

Hydra is freely accessible to all VUB and ULB users. You need to activate your NetID for Hydra before being able to access it. See our documentation for more details. We impose limitations on the number and type of jobs that can be executed since this is a shared environment and therefore everyone need a chance to get jobs started.

OUR SERVICES

The HPC offering is not limited to a simple access to the Hydra cluster. The HPC team provides several services to help researchers to develop and perform scientific computing as efficiently as possible. With a team fully formed in 2017, the following services can be officially presented.

Support

The most critical one! The whole team is involved in support, from answering simple practical questions to co-working on complex requests.

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Software

Most of the software is available as modules. If you want an extra - freely available - software, let us know.

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Consulting

For new research projects requiring HPC, new fund requests or simply to improve your researcher efficiency, please contact us for advices and/or to work with you.

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System Administration

The cluster is continuously maintained: security patches, OS upgrades, hardware replacement etc. The HPC team works on it on a daily basis.

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BigData

We are developping this new competence, with new hardware coming up soon.

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Paid services

Extras we offer but at a given price. It can be extra computing power, storage or hosting your compute nodes.

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  • 160

    Compute nodes

  • 800

    TB of storage

  • 2600

    Users

  • 800000

    Jobs per year

Limits on Hydra

User limits

Name Limit
Number of running jobs Maximum 2500 jobs
Number of concurrent usable cores From 200 to 1000
Number of cores per MPI job One MPI job can use up to 96 cores
Number of nodes per MPI job One MPI job can use up to 12 nodes
Number of jobs in the queue per user 2500 for single core & SMP jobs and 40 for MPI jobs
Job array size 2500 jobs per array
Memory per job Default is 1 GB and maximum is 1500 GB.
Home space Quota (soft and hard) set to 100 GB
Work space Quota set to 500 GB soft and 2 TB hard with a grace period of 15 days.
Walltime for single core and SMP jobs Maximum allowed is 336 hours
Walltime for MPI jobs Maximum allowed is 168 hours

Hydra latest news

09 August 2018

Short data access interruption

HYDRA

A planned firmware upgrade of one of the Hydra switches lead to a short access interruption from the compute nodes to the Hydra storage. The outage took place between 8:40 and 8:50 this morning. The redundancy at the network and storage ...

03 August 2018

Hydra back at 100%

HYDRA

Works on the power grid of the ULB/VUB SISC datacenter are over. Hydra is now back at 100% capabilities. Some nodes supposed to remain powered have been stopped which has caused the loss of some jobs. Users with jobs completed this Friday ...

30 July 2018

Limited resources available on Hydra

HYDRA

Works will take place on the power grid of the ULB/VUB SISC datacenter on Friday 3rd of August between 8:00 and 12:00. Some electric lines powering Hydra will be offline. We have therefore prepared the cluster to run with a reduced number ...

Hydra in pictures

Want to know what Hydra looks like? Here are some pictures of the cluster.

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