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GPU and cluster computing

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This page lists GPU and other compute clusters available to the School of Informatics.
Advice on using GPUs is on the GPGPU computing page.

1. Informatics student clusters

The Teaching cluster is for MSc and Machine Learning Practical students, but it can be used by others when it's not being used for those courses. It has GPUs.

The James and Charles cluster is for Pervasive Parallelism CDT and Data Science CDT students. It has GPUs.

The Hadoop cluster is for Extreme Computing students, but it can be used by others when not needed for that module. It's dedicated to Hadoop. There are no GPUs.

The login node letha06 has eight GPUs (NVIDIA GeForce GTX 1080 Ti). Postgraduate research students have priority but anyone can ask Computing Support for access. Once you have permission to use it, login with ssh letha06.

2. Informatics-affiliated research units

The Institute for Language, Cognition and Computation has a GPU cluster. Nodes barre, greider, levi, mcclintock, moser, nuesslein and ostrom each have four GTX 1080 Tis, and youyou has Maxwell Titan Xs.

If you're in the ILCC, request access using the Support form, mentioning that you're an ILCC member.

The Centre for Speech Technology Research has GPU, multicore and large memory compute servers. The CSTR computer support page has details.

3. The University of Edinburgh

The Edinburgh Compute and Data Facility (ECDF / Eddie) has a large scale (2000+ cores) Linux cluster, a multi-terabyte parallel filesystem and some GPGPU provision (Nvidia Tesla K80 and Nvidia Titan X). It's free, or you can pay for priority access. For large scale HPC/HTC, ECDF should be your first choice.

Staff and research students get access by asking IS Helpline. Taught MSc students may get access, but only with the agreement of their supervisor, who should contact IS Helpline directly.

The Cloud Computing Service is two OpenStack services: a Research Cloud called "Eleanor" for academic staff and research students, and an Enterprise Cloud called "Hopper" which can be used by anyone. Each cloud has limited free access and a more extensive paid service.

The EPCC in the Bayes Centre has supercomputers and HPC clusters - the EPCC facilities page has details. In particular, the EPCC hosts ARCHER, the UK's premier academic research supercomputer, to which University of Edinburgh users have generous access.

4. HPC beyond Edinburgh

CSD3 (the Cambridge Service for Data Driven Discovery) is several supercomputers including a large GPU cluster (90 nodes each with four NVIDIA P100, with Mellanox Infiniband interconnect). See the links below for details of hardware, software and how to get access (via EPSRC project).

JADE is an HPC facility at Oxford with 22 NVIDIA DGX1 machines. The JADE consortium includes the University of Edinburgh.

Sign up using your ed.ac.uk email address. A password for SAFE will be mailed to you, and it needs to be changed on first login. Once you have signed up, log on to SAFE and click on "Request Join Project". From the dropdown list choose JAD003.

Last reviewed: 
13/02/2019

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