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CHPC - Research Computing Support for the University

In addition to deploying and operating high performance computational resources and providing advanced user support and training, CHPC serves as an expert team to broadly support the increasingly diverse research computing needs on campus. These needs include support for big data, big data movement, data analytics, security, virtual machines, Windows science application servers, protected environments for data mining and analysis of protected health information, and advanced networking. Visit our Getting Started page for more information.

Understanding Wind Energy

By Marc Calaf, Wind Energy & Turbulence, Department of Mechanical Engineering

The Wind Energy & Turbulence laboratory attempts to improve the current understanding of wind energy harvesting. The laboratory uses Center for High Performance Computing resources for high-resolution numerical simulations.

Currently we mainly use Large Eddy Simulations, which are capable of resolving most of the atmospheric turbulent scales as well as the wind turbines, providing very good results when compared to the experimental data. We are highly interested in improving the current conception of the land-atmosphere energy exchanges, and our work strives to fill the gaps of our current understanding. It is only by properly capturing the land-atmosphere connection that forces the atmospheric flow aloft that we will be able to reproduce with high accuracy the atmospheric flow.

System Status

last update: 04/26/17 3:43 am
General Nodes
system procs % util.
ember 900/984 91.46%
kingspeak 832/868 95.85%
lonepeak 256/256 100%
Restricted Nodes
system procs % util.
ash 7396/7396 100%
apexarch Status Unavailable
ember 1236/1284 96.26%
kingspeak 6264/6836 91.63%
lonepeak Status Unavailable

Cluster Utilization

Last Updated: 4/21/17