Cluster architecture
To learn more, start at the GPU and Cluster Computing page.
Thanks to Antreas Antoniou for the diagram.
To learn more, start at the GPU and Cluster Computing page.
Thanks to Antreas Antoniou for the diagram.
The Teaching cluster is used to support teaching courses, especially MSc courses and the Machine Learning Practical.
The teaching cluster has over 120 GPUs in 20 servers(landonia[01-25]). There are over 100 NVIDIA GTX 1060 6GB GPUs, and 8 NVIDIA RTX A6000 40GB GPUs, plus a small number of 12-GB-class cards.
Some of the School's GPU compute clusters use the Slurm job scheduler.
Slurm matches computing jobs with computing resources. It tries to ensure that the resources are allocated fairly and that they are used efficiently. To ensure this it has complex prioritisation rules.
Slurm is widely used on supercomputers, so there are lots of guides which explain how to use it:
The School of Informatics has a Learning Technology support service, which can guide staff through the pedagogical and technical challenges of delivering your courses online.
For details see the Learning Technology site at https://blogs.ed.ac.uk/ilts/ or get in touch at lt-support@inf.ed.ac.uk.
The Learning Technology service can help with any centrally provisioned service, including:
This page has been moved to computing.help.inf.ed.ac.uk/teaching-cluster.
For a list of GPU facilities see the GPU and cluster computing page.
GPGPU is general purpose computing using graphics processing units.
The Charles cluster is for Data Science CDT students.
This cluster has several types of computer node.
cdtcluster
. To use the "charles" GPU nodes, first ssh cdtcluster
then use Slurm.
Here's how to use a cluster without breaking it:
IBM Storage Scale, previously called IBM Spectrum Scale, previously called GPFS, is a proprietary parallel filesystem, developed originally for handling large multimedia files on a cluster of networked computers.
For some years the School maintained a small (~5TB) GPFS scratch filesystem for researchers. However, the free-to-use version could not be used on SL7 at the time (it's no longer possible to obtain driver support) so we discontinued the service.
If you are interested in using IBM Storage Scale, and you have very deep pockets, then please let us know.
This page has been incorporated into the GPU and cluster computing pages.