RAL’s Super-Efficient, GPU-Enabled Microscale Model FastEddy® is now Open Source!

Beta Release now available on GitHub

FastEddy-modeled atmospheric flow over Oklahoma City

The FastEddy® Team announced the release of an Open Source, Beta version of their large-eddy simulation code at the 2023 AMS. This tool was made available to the public to solicit feedback, suggestions, and promote wider interest in FastEddy® as a community LES code. The community is now encouraged to try it out.

FastEddy® is a GPU-based model that can run weather forecasts at a resolution of just 5 meters (16 feet), and can provide real-time weather hazard avoidance at the microscale level. FastEddy® allows scientists to predict how weather and buildings in an urban environment affect drones and other small aerial vehicles. The original purpose of this project was to develop and add fine-scale accelerated modeling into first-responder training curricula in plume atmospheric transport and dispersion (T&D). FastEddy® Product Page.

It’s been a tremendously successful year for the FastEddy® Team as this exciting launch comes on the heels of their 2022 HPC Users’ Choice award for best use of HPC in Physical Science. This award is widely acknowledged as the most prestigious recognition given by the HPC community to its own each year. These are the only awards that open the voting to a worldwide audience of end users.