University Research Computing

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.

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ChargerNet Cluster Users:

This is a reminder that we are transitioning away from the Condor Job Scheduler to the Torque/Maui Scheduling system.  We have been running both systems for most of the summer in order to allow sufficient time for you to learn the new commands and update your submission scripts and procedures.  We have now moved most of our compute nodes into Torque/Maui and we plan to complete the transition and retire Condor on September 15th.

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There are several application changes that we will make prior to the start of the Fall 2009 Semester. In conjunction with the updates, we will be retiring old versions of the software. I’ve compiled a list of “new” application versions, as well as a list of the versions that will be retired: read more »

ChargerNet Users:

We are beginning to transition from the Condor Job Scheduler that we have used in the cluster since its inception in 2005 to the Torque/Maui Scheduling system which has become the predominate scheduler for academic HPC environments.  This change will allow us to take better advantage of tools and techniques developed at other universities, provide better integration with commercial products which support Torque/Maui for parallel processing (like MatLab), and improve our queue management by implementing resource limits or “fair share” algorithms. read more »

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 »

We are planning a cluster outage for Monday, October 13, 2008 from 10am until noon (this is the first day of fall break).   We will use this outage to perform a few minor maintenance tasks as well as to complete some upgrades to our disk storage system that will improve both manageability and scalability.   This outage will impact the entire cluster and all running jobs.  Please plan your work so that your jobs will complete prior to the start of this outage or so that they can be restarted after the cluster is back online without losing the prior work.

We apologize for any inconvenience that this may cause, but the need to perform certain routine maintenance tasks requires a complete outage once or twice per year.  We do not anticipate the need to schedule any additional outages until spring break.

Please send a response if you have any questions or comments.

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 »

Yes, we always welcome feedback. Please send your suggestions, comments, etc. via email to any member of the URC Staff.

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 »

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.