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High Performance Computing Used to Model Big Data

High Performance Computing Used to Model Big Data

Image of an antique windmillWeather forecasters try to predict it. High-tech clothing is designed to resist it. Energy companies hope to harness it. And Inanc Senocak and his students are using computational science and high-end computer systems to model it.

In J.R.R. Tolkien’s “The Hobbit,” Gollum tries to stump Bilbo Baggins with a riddle:

Voiceless it cries,
Wingless flutters,
Toothless bites,
Mouthless mutters.

“Wind, wind of course,” Bilbo answers.

The science of modeling and forecasting wind for energy resources is incredibly complex. It requires massive data sets and powerful, high performance computing capability. Accurate wind models are critical for evaluating wind farm siting and layout for optimum power production. Models have to account for the effects of terrain, temperature and atmospheric conditions, and be able to predict speed, direction and turbulence. A model with this level of complexity requires the science of computational fluid dynamics (CFD). View the full “High Performance Computing Used to Model Big Data” article.

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