High-Performance Weather Satellite Data Processing and Forecasting Model Advancement at SSEC using Accelerator Technology — Current Status and Ongoing Endeavor
In this presentation we review the successful implementation of a GPU-based high-performance hyperspectral sounder radiative transfer model running on NVIDIA GPUs via CUDA (Compute Unified Device Architecture). We continue with a review of the progress made so far in the development of a GPU-based high-performance Weather Research Forecasting (WRF) model and demonstrate the design of a complete end-to-end GPU-CUDA WRF version, which could deliver a performance estimated to be in the range of 20X to 50X speedup with respect to a single, modern CPU core.
We conclude by reviewing our recent efforts in the use of Intel MIC Xeon Phi to advance WRF acceleration. Our initial results of a MIC Xeon implementation of WRF Thompson microphysics and TEMF planetary boundary layer scheme are outlined. We discuss our longer term plan to optimize the key schemes of microphysics, radiative transfer and planetary boundary physics components, and the dynamics code, starting from the computationally most time-consuming, namely the advection part.