The Beowulf Cluster
The Department of Mathematics and Statistics is proud to have high performance computing resources dedicated to research activities. The focal points of our facilities are:
- a cluster of 24 machines, each configured with 4 cores running at 2.6 GHz and 4 GB of RAM
- an 8-core 2.5 GHz machine with 128 GB of RAM
These computers accommodate both parallelised computing as well tasks that are highly memory intensive in nature.
Moreover, it is possible to also link up with additional non-research-dedicated computers on campus (such as the departmental computer lab), bringing together over 300 processors to be used by distributed applications.
We gratefully thank the following for their support:
- Historical Overview
- Usage Policies
- How to Use the Cluster
- Node List, Load Averages, Running Processes (access restricted)
- The Beowulf Project
- Autoson - a scheduling tool for distributed computing
- MPI Commands
- PVM - Parallel Virtual Machine
- The R Project for Statistical Computing
For more information, contact David Pike.