The teaching GPU cluster consists of a head node and four GPU compute nodes. The head node is a CPU-only machine while each compute node has multiple GPUs. The cluster is controlled by the Slurm workload manager. To use the compute nodes you must submit jobs via the head node, namely tsubmit.math.private.uwaterloo.ca. Undergraduate students registered in non-CS Math courses may use these GPU servers. CS students should use CS-provided resources.
Head node
| Node name | slurm-pt2.math.private.uwaterloo.ca, alias tsubmit.math.private.uwaterloo.ca |
|---|---|
| #Nodes | 1 |
| CPU model (2) | Intel(R) Xeon(R) Gold 6150 CPU @ 2.70GHz |
| #Cores/Node | 36 |
| Threads per core | 2 |
| System Memory/Node | 188 GB |
GPU compute nodes
| Node names | gpu-pt1-01 | gpu-pt1-02, gpu-pt1-03 |
gpu-pt1-04 |
|---|---|---|---|
| CPU model (2 per node) | Intel(R) Xeon(R) E5-2680v4 @ 2.40GHz |
Intel(R) Xeon(R) E5-2650v4 @ 2.20GHz |
AMD(R) EPYC(R) Milan 7643 @ 2.3 GHz |
| #Cores/Node | 28 | 24 | 96 |
| Threads per core | 2 | 2 | 2 |
| System Memory/Node | 128 GB | 256 GB | 1 TB |
| GPU Type | NVIDIA Tesla K80 | NVIDIA GeForce GTX 1080ti | NVIDIA RTX A6000 Ada |
| # GPU devices/Node | 8 | 8 | 5 |
| GPU memory per device | 12 GB | 12 GB | 48 GB |