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InfiniBand Powers World’s Leading Weather Forecasters’ Supercomputers

In this feature article from our friends over at Mellanox, we discuss how weather and climate models are both compute and data intensive. Forecast quality scales with modeling complexity and resolution. Resolution depends on the performance of supercomputers. And supercomputer performance depends on the underlying interconnect technology: to get higher performance, the interconnect must be able to move data quickly, effectively and in a scalable manner across compute resources.

Weather and Ocean Modeling with Super Computers

The practical impact of weather, climate and ocean prediction on the world’s population and economy drives the usage of high performance computing (HPC) for earth system modeling. The socioeconomic impacts of improved predictive capabilities are well-recognized by scientists as well as government leaders. The earth’s environment plays an important role in shaping economies and infrastructures, and touches upon nearly every aspect of our daily lives, including recreational activities, food supplies and energy resources.

Weather and Climate Forecasting

In the pantheon of HPC grand challenges, weather forecasting and long-term climate simulation rank right up there with the most complex and com- putationally demanding problems in astrophysics, aeronautics, fusion power, exotic materials,and earthquake prediction, to name just a few. Modern weather prediction requires cooperation in the collection of observed data and sharing of forecasts output among all nations, a collabora- tion that has been ongoing for decades. This data is used to simulate effects on a range of scales— from events, such as the path of tornados, that change from minute to minute and move over distances measured in meters, to turnover of water layers in the ocean, a process that is measured in decades or even hundreds of years, and spans thousands of miles.