CaStLeS BlueBEAR QOS

CaStLeS (Compute and Storage for the Life Sciences) have purchased dedicated resource within BlueBEAR.

The CaStLeS BlueBEAR QOS includes:

  1. Twenty-two of our newest BlueBEAR cascadelake nodes, each with 40 cores and 192GB RAM;
  2. Twenty-four standard BlueBEAR broadwell nodes, each with 20 cores and 128GB RAM;
  3. One broadwell node with 20 cores and 1TB RAM; and
  4. One broadwell node with 20 cores, 1TB RAM, and two NVIDIA Tesla P100 GPUs.

There is also a special CaStLeS POWER GPU QOS, which includes:

 1. Seven IBM POWER9 nodes, each with 144 cores, 1TB RAM and quad NVIDIA V100 GPUs

Access to these resources is available for Life Sciences researchers. For further information, including how to apply for access see the CaStLeS overview. More information on the CaStLeS POWER GPU nodes is available on the BEAR AI page.

Using the CaStLeS QOS

To use one of the CaStLeS nodes, add

#SBATCH --qos castles
#SBATCH --account [projectname]

to your job submission script, where [projectname] is a project that has access to the CaStLeS QOS. If, when you submit a job, you receive an error message of

sbatch: error: Batch job submission failed: Invalid qos specification

then either you are not a member of a project that has access to the large memory service or the project you specified does not have access to the large memory service.

To specify the amount of memory for your job, add:

#SBATCH --mem [mem]

to your job submission script, where [mem] is the amount of memory your job requires - usually specified as the amount (in GB), e.g. 200G.

To request one of the GPUs for your job, add:

#SBATCH --gres [gputype]

to your job submission script, where [gputype] is the type of GPU you wish to use in your job - specified in the form gpu:p100:1 to request one NVidia P100 per node in your job.

Colleges

Professional Services