timestamp1618266852298Crane: Downtime Updateby Holland Computing CenterWhile there was intent to have Crane available for general use no later than today (Monday April 12th) some unfortunate hardware failures over the weekend and this morning have made it necessary to postpone opening Crane until tomorrow
timestamp1616616882846Crane: Extended Downtime Announcementby Holland Computing CenterThe CRANE cluster will undergo an extended downtime beginning April 5th. This downtime will be used to upgrade the operating system used on the cluster from an EL6 base to an EL8 base. While it has served us well for over half a decade, the
timestamp1608323640001Standalone JupyterHub and Sandstone deprecation on Monday, Dec. 21by Holland Computing CenterAs previously announced, the standalone JupyterHub/Sandstone interfaces available via the web at crane.unl.edu and rhino.unl.edu will be deprecated and removed on Monday, December 21st. Current and future Jupyter notebooks will...
timestamp1603236240001Standalone JupyterHub and Sandstone deprecationby Holland Computing Center Dear HCC User Community, The standalone JupyterHub/Sandstone interfaces available via the web at crane.unl.edu and rhino.unl.edu will be deprecated and removed following the conclusion of the Fall Semester in late December. Current...
timestamp1594075320001Open OnDemand now availableby Adam Caprez, Applications LeadAnnouncementImprovementCraneRhinoHCC is pleased to announce the availability of the Open OnDemand interface for the Crane and Rhino clusters. Open OnDemand (OOD) is an NSF-funded open-source HPC portal with the goal of providing an easy to use web-based interface to...
timestamp1573704240001Crane: GPU expansion available for useby Adam Caprez, Applications LeadHCC is pleased to announce a major addition of GPU resources to the Crane cluster, funded by a recent Nebraska EPSCoR award. This expansion consists of 21 GPU-enabled nodes, each with 2 x Nvidia Tesla V100 cards with 32GB RAM. This...
timestamp1571261580001Rhino: JupyterHub available for useby Holland Computing CenterJupyterHub is now available for use on Rhino. To access it, go to https://rhino.unl.edu in your browser and sign in with your HCC credentials. A basic set of kernels has been provided, including Python, R, SAS, and MATLAB. If you...
timestamp1561508340001Rhino: What's Newby Adam Caprez, Applications LeadHCC will soon make Rhino available for general use by the University community. This post is meant to provide a brief overview of Rhino itself, and highlight changes as compared to existing HCC clusters. What is Rhino? Rhino was...
timestamp1561499940001Rhino available for use!by Holland Computing CenterDear HCC User Community, The Rhino Cluster is now available via HCC. The majority of the components of this cluster were previously parts of the Tusker and Sandhills clusters. Rhino is composed of AMD-based servers with at least 192...
