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

fYear

2012

fDate

17-19 Dec. 2012

Firstpage

879

Lastpage

883

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);

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Systems (ICPADS), 2012 IEEE 18th International Conference on

Conference_Location

Singapore

ISSN

1521-9097

Print_ISBN

978-1-4673-4565-1

Electronic_ISBN

1521-9097

Type

conf

DOI

10.1109/ICPADS.2012.144

Filename

6413588