Cluster Resources

Our compute cluster contains a variety of machine configurations, from basic systems to large-memory multiprocessors. All systems are accessible to all members of the CS community for research or educational purposes.

All machines mount the department's filesystems. All are on the department's network. Access to the machines is restricted to the slurm workload manager.

Dedicated Machines

The current grid sports 49 nodes with a total of 2288 cores, as detailed in the following table.

Name Machines Cores Total Cores Memory Disk CPU Clock
mblade12 20 32 640 64G 160G Opteron 6282 SE 2.6
mblade13 10 64 640 256G (1-3,8-10), 128G (4-7) 1T Opteron 6380 2.5
smblade16a 7 48 336 256G 1T Xeon E5-2650 2.2
smblade16b 12 56 672 256G 960G Xeon E5-2680 2.4

In the table above, where there are multiple machines of a type, hostnames end with a number (e.g. mblade1301).

All machines are running 64-bit Debian Linux.

GPU Servers

The grid also offers 27 GPU servers, providing a total of 156 GPUs.  These machines are available only to jobs that specifically request GPUs.

Name Machines Cores GPUs Memory VRAM Disk CPU GPU
gpu1601-05 5 12 4 256G 8G 256G Xeon E5-2603 Nvidia GTX 1080
gpu1701-08 8 12 4 256G 11G 256G Xeon E5-2603 Nvidia GTX 1080ti
gpu1801-02 2 16 8 128G 11G 256G Xeon E5-2609 Nvidia GTX 1080ti
gpu1901-04 4 16 8 128G 11G 1T Xeon Bronze 3106 Nvidia RTX 2080ti
gpu1905-06 2 16 8 128G 11G 1T Xeon Bronze 3106 Nvidia GTX 1080ti
gpu1907 1 16 4 128G 24G 1T Xeon Bronze 3106 Nvidia Titan RTX
gpu2001 1 16 4 128G 24G 1T Xeon Bronze 3106 Nvidia Titan RTX
gpu2002-03 2 16 8 256G 11G 1T Xeon Bronze 3106 Nvidia RTX 2080ti
gpu2201 1 96 8 512G 48G 500G AMD EPYC 7443 Nvidia RTX A6000
gpu2301 1 128 8 1T 48G 500G AMD EPYC 7662 Nvidia L40

Networking

Each machine in the cluster has a 1Gb switched network connection to the department's core switches.

History / Provenance

mblade12

MaxBuilt blades purchased for the grid in 2012.

mblade13

MaxBuilt blades purchased for the grid in 2013.

smblade16a

MaxBuilt blades purchased for the grid in 2016.

gpu1601-05

GPU servers purchased by the department in 2016.

gpu1701-07

GPU servers purchased by the department in 2017.

gpu1708

GPU servers purchased in 2017 for the Data Science Initiative course DSI 1030.

gpu1801-02

GPU servers purchased by the department in 2018.

gpu1901-02,05-07

GPU servers purchased by the department in 2019.

gpu1903-04

GPU server purchased in 2019 for Stephen Bach's research group.

gpu2001-03

GPU servers purchased by the department in 2020.

gpu2201

GPU server purchased by the department in 2022.

gpu2301

GPU server purchased by the department in 2023.