Simulation / Modeling / Design

Using GPUs to Predict National Weather Forecasts

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  • MeteoSwiss deployed a GPU-accelerated supercomputer powered by NVIDIA Tesla K80 GPU accelerators to improve daily weather forecasts.
  • The new system delivers 40 times higher performance than the previous CPU-based system.
  • Weather models now achieve more than two times higher resolution at three times higher energy efficiency.
  • Based on the Cray CS-Storm cluster, the system is housed at the Swiss National Supercomputing Centre in Lugano, Switzerland.
  • Full operational status is expected by summer 2016.

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Thanks to GPUs, the Swiss have made significant advancements in their ability to predict storms and other weather hazards with higher levels of accuracy. The Swiss Federal Office of Meteorology and Climatology, MeteoSwiss, is the first major national weather service to deploy a GPU-accelerated supercomputer to improve its daily weather forecasts.

The new system, powered by NVIDIA Tesla K80 GPU accelerators, is giving them a 40 times higher performance than their previous CPU-based system which now allows them to develop weather models with more than two times higher resolution and at three times higher energy efficiency.

Swiss predicting weather

MeteoSwiss is based on the Cray CS-Storm cluster supercomputer, one of the highest density GPU-accelerated systems available today. Expected to be fully operational by next summer, the MeteoSwiss system is housed at the Swiss National Supercomputing Centre in Lugano, Switzerland.
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