Table of Contents
The Faculty of EECS has a large number of Linux-based compute servers (or grunt-servers) available for any type of computational tasks required by today’s Research, and they are accompanied by a large variety of up-to-date Software, IDEs, frameworks, libraries and toolkits.
Servers List
The list shows the available Compute Servers owned by the School and by Research Groups.
Name | OS | CPU | GPU | GPU RAM | HTT? | RAM | Cores | Owned | Access |
---|---|---|---|---|---|---|---|---|---|
albans | CentOS 7 | 2 * Intel Xeon 5318Y @ | 2 * A100 | 80 GB | Yes | 512 GB | 96 | Hao, Yang | Antennas School |
agnus | CentOS 7 | 2 * Xeon(R) Gold 5318Y CPU @ 2.10GHz | 1 * Nvidia A100 | 40GB | Yes | 256 GB | 96 | Benetos, Emmanouil | C4DM |
arius | CentOS 7 | 2 * Xeon(R) Silver 4316 CPU @ 2.30GHz | 1 * A40 | 48 GB | Yes | 256 GB | 78 | Castro, Ignacio | Networks |
bath | Centos 7 | 2 * Xeon 5122 @ 3.60GHz | 2 * P100 | 16 GB | Yes | 192 GB | 16 | EECS Systems | School |
bluck | CentOS 7 | 2 * Xeon Gold 5318Y @ 2.10GHz | 8 * A5000 | 24 | Yes | 256 GB | 80 | Dixon, Simon | C4DM (AIM) |
bowers | CentOS 7 | 2 * Xeon Gold 5318Y @ 2.10GHz | 8 * A5000 | 24 | Yes | 256 GB | 80 | Dixon, Simon | C4DM (AIM) |
buxton | CentOS 7 | 2 * E5-2637 @3.5 GHz | 4 * RTX 2080 Ti | 45 GB | Yes | 128 GB | 16 | Dixon, Simon | C4DM (AIM) |
nemon | Ubuntu 24.04 | 2 * Xeon Gold 5418Y @ 2GHz | 3 * Nvidia L40s | 48 GB | Yes | 256 GB | 96 | Dixon, Simon | C4DM |
wynne | CentOS 7 | 2 * Xeon Gold 5218R @ 2.10GHz | 8 * A5000 | 24 | Yes | 256 GB | 80 | Dixon, Simon | C4DM (AIM) |
carlisle | CentOS 7 | 2 * Xeon(R) Silver 4112 @ 2.60GHz | 4 * GTX 1080 | 48 GB | Yes | 64 GB | 24 | Mazzon | Vision (Smart Cameras) |
lincoln | CentOS 7 | 2 * Intel Xeon 5318Y @ | 2 * A100 | 80 GB | Yes | 512 GB | 96 | Hao, Yang | Antennas School |
carmathen | CentOS 7 | 2 * Xeon-5115 CPU @ 2.40GHz | 2 * Tesla V100 | 64 GB | Yes | 128 GB | 40 | Gong, Sean | Vision |
chichester | CentOS 7 | 4 * RTX 2080 Ti | Yes | Gong, Sean | Vision | ||||
clytemnestra | CentOS 7 | 2 * Xeon(R) Gold 5218R @ 2.10GHz | 3 * RTX 6000 | 69 GB | Yes | 289 GB | 80 | Patras | MMV |
doncaster | CentOS 7 | 2 * Xeon-5122 @3.60 GHz | 4 * RTX 2070 | 32 GB | Yes | 128 GB | 16 | Gong, Xiang | Vision |
dorset | CentOS 7 | 2 * Xeon 5218 CPU@ 2.30GHz | 4 * RTX 2080 Ti | 45 GB | Yes | 256 GB | 16 | Lucas, Simon | Game AI |
durham | CentOS 7 | 2 * Intel Xeon 5320 @ 2.20GHz | 2 * A100 | 80 GB | Yes | 512 GB | 104 | Alomainy, Akram | Antennas School |
earl-01 | CentOS 7 | 2 * Xeon-4114 @ 2.20GHz | – | – | Yes | 320 GB | 40 | Uhlig | Networks |
earl-02 | Ubuntu | 2 * Xeon-4114 @ 2.20GHz | – | – | Yes | 64 GB | 40 | Uhlig | Networks |
earl-03 | Ubuntu | 2 * Xeon-4114 @ 2.20GHz | – | – | Yes | 64 GB | 40 | Uhlig | Networks |
earl-04 | Ubuntu | 2 * Xeon-4114 @ 2.20GHz | – | – | Yes | 64 GB | 40 | Uhlig | Networks |
dgx1-1 | Ubuntu | 4 * E5-2698 @2.20 GHz | 8 * P100 | 128 GB | Yes | 512 GB | 80 | Gong | Vision |
dorchester | Centos 7 | 2 * Xeon 5122 @ 3.60GHz | 2 * P100 | 16 GB | Yes | 192 GB | 16 | EECS Systems | School |
dunstable | Centos 7 | 2 * E5-2660 @ 2.6GHz | 1 * M5000 | 8 GB | Yes | 64GB | 40 | Cavallero | CIS |
ilkley | Centos 7 | 2 * Xeon E5-2620 v4 @ 2.10GHz | 4 * GTX 1080 Ti | 48 GB | Yes | 128 GB | 32 | Gong, Sean |
Vision |
kinloch | Centos 7 | 2 * Xeon Gold 6330 @ 2GHz | 4 * NVIDIA A40 | 48 GB | Yes | 512 GB | 112 | Poesio,Massimo | Cogsci |
lichfield | CentOS 7 | 2 * Xeon Gold 6442Y | 2 * Nvidia A40 | 48GB | Yes | 256 GB | 96 | Liakata, Maria | NLP |
lime-01 | Ubuntu | 2 * Xeon-4210R @ 2.4G | 1 * RTX 2080 Ti | 12 GB | Yes | 768 GB | 10 | Antichi, Gianni | Networks |
medusa | Centos 7 | 2 * Xeon 5122 @ 3.60GHz | 2 * P100 | 16 GB | yes | 192 GB | 16 | I. Patras | MMV |
monmouth | Centos 7 | 2 * Intel Xeon Gold 5318S @ 2.10GHz | 2 * Nvidia A40 | 48 GB | yes | 256 GB | 96 | Liu, Yuanwei | CSR |
nausicaa | CentOS 7 | 2 * E5-2630L v4 @ 1.80GHz | 4 * GTX 1080 | 32 GB | 128 GB | 40 | I. Patras | MMV | |
naples | CentOS 7 | 2 * E5-2630L v4 @ 1.80GHz | 3 * RTX 6000 | 66 GB | 386 GB | 80 | Purver, Matt | CogSci | |
pandora | CentOS 7 | 2 * Xeon Gold 5218R CPU @ 2.10GHz | 8 * RTX 3090 | 192 GB | 258 GB | 80 | I. Patras | MMV | |
penelope | CentOS 7 | 2 * E5-2630L v4 @ 1.80GHz | 4 * GTX 1080 | 32 GB | 128 GB | 40 | I. Patras | MMV | |
sanctus | CentOS 7 | 2 * Xeon Gold 5218 | 3 * Nvidia A30 | 24GB | Yes | 384 GB | 40 | Liakata, Maria | NLP |
venice | CentOS 7 | 2 * E5-2687W v4 @ 3.00GHz | 3 * GTX 1080Ti | 36 GB | 384 GB | 48 | Poesio,Massimo | CogSci (DALI) | |
whitby | CentOS 7 | 2 * Xeon Gold 5218R @ 2.10GHz | 3 * RTX 6000 | 69 GB | Yes | 289 GB | 80 | Dixon, Simon | C4DM |
Access
Users can access the servers based on the “Access” field in the above list.
- School: Open access to all Research members
- <Research Group Name>: Access to members of that Research Group
Users can access the servers via SSH. Access to servers owned by Research Groups may be granted by an official request to the Group’s supervisors.
Some servers my have restricted access only to members of a Research Group working on a Research Project and will be displayed on the above table.
The following Shares are available to all Compute Servers (and Managed Desktops):
Home folder
Your EECS home directory is available to all Compute Servers and the ‘login servers’. You can write data into your home directory from Server A and they will also be available on Server B.
Group Shares
Group shares are available on all Compute Servers and ‘login servers’ via NFS. Typically, they can be accessible via the /import/$GROUP_SHARE_NAME
, by the members of a Research Group.
For example, to access the Group Share named ‘demo-groupshare-1‘, you can access it from any Compute Server or Linux Managed Desktop via /import/demo-group-share-1
. In this example, you will be able to access that group share, only if you are a member of the ‘demogroup‘, as seen from the Group Permissions:
harry@exeter ~ $ ls -lha /import/demo-groupshare-1/ total 1.5M drwxrws---. 4 harry demogroup 4.0K May 1 15:39 . drwxr-xr-x. 119 root root 0 May 10 11:48 .. drwxr-xr-x. 2 root demogroup 4.0K May 1 11:37 DATASETS
For the creation of a new Group Share, please raise a HelpDesk Ticket, detailing the reason and the requirements for that Share.
Software Share
Software, IDEs, packages, libraries etc are available on the compute servers either locally (based on past Requests) or centrally in the /import/linux/
Software Share. This software share is available to all Compute Servers and Managed Desktops in EECS and it is available via NFS.
Applications installed inside that Software Share may also be available as custom binaries on all Servers and Desktops, which, when users execute them, prepares the user’s environment accordingly and launch the intended application.
Most of the libraries and toolkits available in the ‘/import/linux’ Software Share are also available via the environment modules, for ease of use.
harry@exeter ~ $ ls /import/linux android-studio erlang opencv atk feko python batik tensorflow matlab cuda ... ... ... ...
Usage
Use nice
to make your long-running jobs give way to lower-latency jobs (like text editors..). The nice value you use should be proportional to the amount of time you expect your job to run. Given in practice the longest-running job will always finish last anyway, it’s polite not to make text editors unnecessarily slow.
Useful applications are screen
and tmux
, which allow you to detach from a long-running terminal, leave a task running at the background and re-attach to it later. This way, if you suddenly lose your network connection to the server unexpectedly, your processes won’t quit and your Session will still be alive.