Title :
A GPU-based Implementation of WRF PBL/MYNN Surface Layer Scheme
Author :
Xianyun Wu ; Bormin Huang ; Huang, Hung-Lung Allen ; Goldberg, Mitchell D.
Author_Institution :
Space Sci. & Eng. Center, Univ. of Wisconsin-Madison, Madison, WI, USA
Abstract :
Nakanishi and Niino proposed an improved Mellor-Yamada (M-Y) Level-3 model (MYNN) surface for three-dimensional simulation of advection fog. The model is on the basis of large-eddy simulation and is numerically stable. The model predicts vertical profiles of mean quantities such as temperature that are in good agreement with those obtained from large-eddy simulation of a radiation fog. In this paper, we accelerate Nakanishi and Niino PBL´s Surface Layer scheme in a highly parallel environment, using NVIDIA Graphics Processing Units (GPU). This GPU implementation efficiently utilizes the fine grained parallelism exhibited by the MYNN PBL scheme. The algorithm is accelerated on a low-cost personal supercomputer with over 500 CUDA cores running on a GPU. This implementation achieves a high speedup of 160×.
Keywords :
fog; geophysics computing; graphics processing units; parallel architectures; parallel machines; weather forecasting; 3D simulation; CUDA core; GPU; NVIDIA; WRF MYNN PBL; advection fog; eddy simulation; fine grained parallelism; graphics processing unit; numerical stability; personal supercomputer; radiation fog; surface layer scheme; Atmospheric modeling; Computational modeling; Graphics processing units; Instruction sets; Meteorology; Numerical models; Predictive models; CUDA; Graphics Processing Units (GPU); MYNN PBL/Surface Layer Model; Weather Research and Forecasting (WRF);
Conference_Titel :
Parallel and Distributed Systems (ICPADS), 2012 IEEE 18th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4673-4565-1
Electronic_ISBN :
1521-9097
DOI :
10.1109/ICPADS.2012.144
