Department of Mathematics and Statistics Compute Cluster

cluster_load_status

Anonymous (anonymous@undisclosed.example.com) — 2024-03-12T14:36:49+00:00

Aggregate Load Status on Hosts See the Load Status Node1 till Node5 Click Here Node6, Node15, Node17 Click Here Node18 till Node21 Click Here Node22 till Node28 Click Here

contact

Anonymous (anonymous@undisclosed.example.com) — 2017-12-21T20:23:40+00:00

Balagopal Pillai -

hardware

Anonymous (anonymous@undisclosed.example.com) — 2026-02-16T11:15:12+00:00

Server Model CPU RAM CPU Cores per server Host Info 4 x Dell PowerEdge R630 1U 2x E5-2697 v4 @ 2.3 GHz 256 GB RAM

jupyterhub_integrations

Anonymous (anonymous@undisclosed.example.com) — 2024-03-28T09:19:15+00:00

Note: All of the steps below work only from a compute node. Julia (@v1.10) pkg> add IJulia Refresh the JupyterHub browser session. Maple source activate jupyter-conda-support cp -R /software/etc/maple ~/ jupyter kernelspec install maple --user

jupyterhub

Anonymous (anonymous@undisclosed.example.com) — 2026-02-16T11:17:25+00:00

Here are the steps to use JupyterHub on cluster nodes Note - VPN is necessary for off campus access. Find the least loaded compute node from here or qstat -f Use the corresponding compute node from the links below Host Name JupyterHub Link

os

Anonymous (anonymous@undisclosed.example.com) — 2022-11-28T22:18:43+00:00

The cluster nodes use 64 bit Ubuntu Server version 22.04

rstudio

Anonymous (anonymous@undisclosed.example.com) — 2026-02-16T11:16:36+00:00

Here are the steps to use Rstudio server on cluster nodes Note - VPN is necessary for off campus access. Find the least loaded compute node from here or qstat -f Use the corresponding compute node from the links below Host Name Rstudio Link

sidebar

Anonymous (anonymous@undisclosed.example.com) — 2025-10-10T11:32:39+00:00

Hardware Storage OS Usage X2go XPRA (Browser Client) XPRA (Native Client) Rstudio JupyterHub JupyterHub Integrations Contact Cluster Load Status

start

Anonymous (anonymous@undisclosed.example.com) — 2024-03-12T16:18:26+00:00

The Department Compute Cluster is housed in Killam data center. This Cluster is a shared resource and is available to all Faculty, Students, Visitors and Post Doctoral Fellows in the Department.

storage

Anonymous (anonymous@undisclosed.example.com) — 2017-12-21T20:19:00+00:00

The home volume has a daily tape backup and disk quota is enforced for all accounts. Please use the home volume for data that needs backup. The volume scratch can be used for storing less important data. It has no backup and no disk quota. The scratch volume is 36 TB and home volume quota is set to 1

testing

Anonymous (anonymous@undisclosed.example.com) — 2024-03-28T13:02:52+00:00

Server Model CPU RAM CPU Cores per server Host Info 4 x Dell PowerEdge R630 1U 2x E5-2697 v4 @ 2.3 GHz 256 GB RAM 36 cpu cores Node1 to Node4 1 x Supermicro AS-1042G-TF 4 x AMD Opteron 6348 2.8 Ghz 512 GB RAM

usage

Anonymous (anonymous@undisclosed.example.com) — 2026-02-16T11:19:16+00:00

Note - VPN is necessary for off campus access. Please use a Secure Shell Client to connect to cluster.mathstat.dal.ca Interactive queue The Interactive queue is useful to run software with a graphical user interface or programs not suitable for the Batch queues. Please type qrsh to get an ssh session to the least loaded Compute Node. The X-Server for windows is available for download from the Department servers and X11 tunneling can be used for starting graphical applications over ssh. For f…

x2go

Anonymous (anonymous@undisclosed.example.com) — 2026-02-16T11:19:05+00:00

Note - VPN is necessary for off campus access. The old NX service is replaced with x2go. For using graphically intensive applications like Matlab, Maple etc from home, please use x2go instead of X11 tunneling over ssh. Please download the x2go client from

xpra_x2go_alternative

Anonymous (anonymous@undisclosed.example.com) — 2026-02-16T11:18:39+00:00

Note - VPN is necessary for off campus access. Xpra is now available on the cluster as an alternative to X2go. Unlike X2go, this solution only needs a web browser with similar performance. Here are the steps - * Use an ssh client to connect to cluster.mathstat.dal.ca

xpra-native

Anonymous (anonymous@undisclosed.example.com) — 2026-02-16T11:18:53+00:00

Note - VPN is necessary for off campus access. It is possible to use Xpra with a native client. The native client is expected to perform better than the browser solution, as it supports hardware acceleration available on the client. The native client supports OpenGL acceleration, seamless windows for remote applications (like running natively) and multi monitor support. Here are the steps -