The Weather Research and Forecasting Model is a next-generation mesoscale numerical weather prediction system designed to serve both operational forecasting and atmospheric research needs.

About WRF

The Weather Research and Forecast (WRF) Model is a fully functioning modeling system for atmospheric research and operational weather prediction communities. With an emphasis on efficiency, portability, maintainability, scalability and productivity, WRF has been successfully deployed over the years on a wide variety of HPC clustered compute nodes connected with high speed interconnects - the most used system architecture for high-performance computing. As such, understanding WRF dependency on the various clustering elements, such as the CPU, interconnects and the software libraries are crucial for enabling efficient predictions and high productivity. Our results identify WRF’s communication-sensitive points and demonstrate WRF’s dependency on high-speed networks and fast CPU-to-CPU communication. Both factors are critical to maintaining scalability and increasing productivity when adding cluster nodes. We conclude with specific recommendations for improving WRF performance, scalability, and productivity as measured in jobs per day.

UCAR/NCAR MMM group home page

Performance Benchmarking and Profiling