User Manual

1 Getting Started

2 Managing Files

3 Software

4 Running Jobs
4.1 Interactive jobs
4.2 Batch jobs
4.3 Managing jobs
4.4 Partitions
4.5 Job priority
4.6 Condo priority
4.7 Job arrays

5 XSEDE

6 GPU Computing

4.4 Partitions

When submitting a job to the Oscar compute cluster, you can choose different partitions depending on the nature of your job. You can specify one of the partitions listed below either in your sbatch command:

$ sbatch -p <partition> <batch_script>

or as an SBATCH option at the top of your batch script:

#SBATCH -p <partition>
Partitions available on Oscar:
default Default partition with most of the compute nodes: 8-, 12-, or 16-core; 24GB to 48GB of memory; all Intel based.
gpu Specialized compute nodes (8-core, 24GB, Intel) each with 2 NVIDIA GPU accelerators.
debug Dedicated nodes for fast turn-around, but with a short time limit of 40 node-minutes.

You can view a list of all the Oscar compute nodes broken down by partition with the command:

$ nodes -v