The Weather, Research and Forecasting (WRF) model, which is widely utilized by more than 27,000 registered users located in 156 countries, is a next-generation mesoscale numerical weather prediction system designed to serve both operational forecasting and atmospheric research needs. It features multiple dynamical cores, a 3-dimensional variational (3DVAR) data assimilation system, and a software architecture allowing for computational parallelism and system extensibility. WRF is suitable for a broad spectrum of applications across scales ranging from meters to thousands of kilometers.
In recent years the General-Purposed Graphics Processing Unit (GPGPU) has evolved into a multi-threaded, many-core processor with tremendous computational speed and very high memory bandwidth. Currently, the flagship NVIDIA Tesla GPU, VOLTA, has more over 5,000 computing cores and 21 billion transistors. It delivers a theoretical peak performance of 15.7 Teraflops. The combined features of general-purpose supercomputing, high parallelism, high memory bandwidth, low cost, and compact size are what make a GPU-based desktop computer an appealing alternative to a massively parallel system made up of commodity CPU clusters.
TQI’s software development team has extensive experience re-factoring weather models to run on GPUs. The forecast processing accelerations attained by TempoQuest’s software is a result of specialized programming and optimization techniques coupled with a deep understanding of high performance computing, numerical weather prediction, atmospheric science, WRF configurations, GPUs and CUDA code.
The TQI developed CUDA-based GPU WRF is currently the world’s fastest and highest resolution weather forecasting model.