The University of Manitoba’s Information & Services Technology (IST) department manages several research computing environments. The CC Compute Cluster is available to anyone who has a UofM computer account.
This compute environment presently consists of 15 Dell R815 servers arranged as follows:
We ask users to not run their compute-intensive jobs on the login servers. We reserve the right to kill any such jobs with little/no notice. Please see the Computationally-Intensive Processes Policy for more information.
Each server has 256 GB RAM and 4 AMD Interlagos processors, totalling 64 “virtual” cores (4 CPU/machine x 8 physical cores/CPU x 2 threads/core).
There is limited local disk on each; storage is provided via NFS. Users get a small default allocation of storage, but we will work directly with individuals or research groups to try to accommodate their storage needs. Send an email to email@example.com with a request for the Unix team.
The compute service is available to all employees and students of the UofM, but you require a valid UMNetID with the Unix/Linux entitlement claimed. If you already have your umnetid, you can check if you have the entitlement by trying to login to one of the login servers.
If you require help getting your account, or getting it set up for this access, you can send an email to firstname.lastname@example.org explaining that you would like your account to have the Unix/Linux entitlement set. The Service Desk will also have information about sponsoring accounts should that be necessary.
Refer to Accessing CC Unix/Linux for information on the various ways of accessing the general CCL environment.
In summary, there are typically 3 ways to access the compute resources:
For researchers familiar with HPC resources: We do not presently have a batch/job scheduler. You need to login to the compute nodes, as described above, to launch your jobs.
You can use the “rupcc” command to get current utilization of the cluster nodes.
We do hope to eventually add a job scheduler to our compute cluster to handle resource contention, which we currently handle according to the Computationally-Intensive Processes policy.
Other Research Computing resources available:
123 Fletcher Argue
Mon - Fri: 8am to 8pm
230 Neil John Maclean Library
Mon - Fri: 8am to 4:30pm
New! Submit requests & check ticket status online at: umanitoba.ca/ist/service_catalogue/