Using the Teaching Cluster
If you are a University staff member and would like to use the Teaching Cluster, please email firstname.lastname@example.org.
Teaching and final year project requests
It is important you let Research Computing know your teaching and UG / PGT final year projects requirements for the next academic year.
Deadline for requirements: Friday 29 July, 2022. Submit your requirements.
University students attending these two courses will automatically get access to use the cluster:
- Scientific Computing, Department of Mathematical Sciences
- Parallel Computing, Department of Computer Science
Teaching Cluster user guides are available on the University Wiki.
The Teaching Cluster is hosted on the highly scalable Microsoft Azure platform.
Our cloud environment includes the Azure CycleCloud tool, which makes it easy to configure your workloads.
CycleCloud includes the open source Slurm workload manager.
- 256 GB Home storage area allowing users to log in
- BUCS Home, i.e., the H: drive
- HBv2-series VMs with 120 AMD EPYC 7742 processor cores, 4 GB of RAM per CPU core, and no simultaneous multithreading. Each HBv2 VM provides up to 340 GB/sec of memory bandwidth and up to 4 teraFLOPS of FP64 compute
- Mellanox EDR InfiniBand (100 Gb/sec or 200 Gb/s depending on the series)
- VPN from the University to the Azure platform (Bandwidth: 1 Gb/s)
- Azure CycleCloud for automated configuration and management of the HPC environment
- Slurm workload manager for job scheduling
- Modules environment for managing software and applications
- Connection via Secure Shell (SSH)
Full Teaching Cluster specifications are available on the University Wiki.
Request access to use the Teaching Cluster
Please get in touch if you would like to use the Teaching Cluster.
Portfolio of research computing environments
The cloud Teaching Cluster forms part of the University's portfolio of powerful Research Computing environments.
These are available to academic staff and doctoral students from all departments.
Find out more.