How do I get an account?
Access to the cluster requires a URC account. Accounts are available on request for UNC Charlotte faculty and for graduate students working on faculty sponsored research projects. read more »
Archives
Category: FAQs
How do I change my password?
The cluster uses Kerberos for id management, so users should use the Kerberos command kpasswd to change their password (instead of the UNIX passwd command). read more »
How do I log into the cluster?
Most of the cluster resources are on a private, internal network. So access to the cluster is via one (or a few) node(s) that also have connections to the campus’ public network. Currently, the node that is available for interactive use is: submit.urc.uncc.edu read more »
Is there web access to the cluster?
Yes there is! The ChargerNet Portal provides an alternative access method that allows non-authenticated users to check cluster status, access general information, or request a cluster account. The ChargerNet Portal also allows authenticated users to read more »
Can I log in from home?
Yes, it is possible to log in to submit.urc.uncc.edu via ssh or the ChargerNet Portal via a web browser from off campus.
Can I run parallel jobs on the cluster?
Yes you can. The URC cluster currently supports parallel processing using the MPI standard. These jobs are also submitted via the Condor job scheduler. read more »
Can I make suggestions about the cluster or this website?
Yes, we always welcome feedback. Please send your suggestions, comments, etc. via email to any member of the URC Staff.
ChargerNet File System Access
Access to the ChargerNet File System is available for those users who need to access their home directory or project area from a remote client (on campus or via the campus VPN).
URC maintains a Samba server which allows SMB capable clients (i.e. MS-Windows, MacOS X, and Linux) to mount remote shares as a local drive or mount point. To obtain permission to use this server, send email to URCSupport@uncc.edu.
Job Scheduling with Torque
Introduction
As part of URC’s efforts to provide users with a more user-friendly and efficient environment, we are in the process of transitioning our job scheduler from Condor to Torque/Maui. Torque is an Open Source scheduler based on the old PBS scheduler code. read more »
How do I Submit a Job?
Most of the nodes in the URC cluster are accessed using the Condor job scheduling system which can accept both serial and parallel batch jobs. However, URC is transitioning away from Condor towards using Torque for job scheduling, so we would encourage you to use start using Torque instead of Condor. We have more information about submitting jobs to Torque on the URC cluster. read more »
About Us
University Research Computing (URC) is one of several support groups within Information & Technology Services (ITS). Our mission is to support the unique computing needs of UNC Charlotte's diverse community of research faculty by developing shared computing facilities and offering specialized services that would be difficult for individual research groups or departments to provide internally.
Cluster Queues
urc: 160 cores (21 busy, 139 free)
13%
mees: 96 cores (16 busy, 80 free)
16%
mees10: 96 cores (80 busy, 16 free)
83%
wrf: 16 cores (2 busy, 14 free)
12%
