Insomnia is currently running Red Hat Enterprise Linux release 9.3

Hardware

Insomnia has 40 nodes with a cluster total of 6400 cores (80 physical cores per node, doubled via hyperthreading) running Red Hat Enterprise Linux 9.3

• 25 Standard Nodes (512 GB ram)
• 9 High Memory Nodes (1 TB ram)
• 3 GPU Nodes with two Nvidia L40 GPU modules
• 2 GPU nodes with two Nvidia H100 GPU modules (awaiting delivery)
• 1 GPU Nodes with two Nvidia H100 GPU modules (awaiting delivery)

Standard Nodes

Insomnia has 25 Standard Nodes with the following specifications:

High Memory Nodes

Insomnia's 9 high memory nodes have 1 TB of memory each. They are otherwise identical to the standard nodes.

GPU Nodes

See the Hardware section above for a breakdown by GPU model. All GPU nodes are otherwise identical to the standard nodes.

Storage

Insomnia has 291TB on a GPFS filesystem  used for scratch space and home directories.

Network

10 Gb/s ethernet connections to the Internet from login nodes. 100 Gb/s HDR Infiniband connection between compute nodes.

Scheduler

Insomnia uses the Slurm scheduler to manage jobs.

Fair share

Resource allocation on our cluster is based on each group's contribution to computing cores. The Slurm scheduler uses fair share targets and historical resource utilization to determine when jobs are scheduled to run. Also, within-group priority is based on historical usage such that heavier users will have a lower priority than light users. Slurm uses all of a job's attributes - such as wall time, resource constraints, and group membership - to determine the order in which jobs are run. 

Using job data such as walltime and resources requested, the scheduler can start other, lower-priority jobs so long as they do not delay the highest priority jobs. Because it works by essentially filling in holes in node space, backfill tends to favor smaller and shorter running jobs more than larger and longer running ones.

There is no preemption in the current system; a job in the queue will never interrupt or stop a job in run state.