Journal ArticleDOI
GPU acceleration of the WSM6 cloud microphysics scheme in GRAPES model
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TLDR
An implementation of the WSM6 scheme in GRAPES using GPU to accelerate the computation, and the experimental results demonstrate that the GPU version obtains over 140x speedup compared with the CPU serial version, and is an efficient parallel implementation.About:
This article is published in Computers & Geosciences.The article was published on 2013-09-01. It has received 21 citations till now. The article focuses on the topics: General-purpose computing on graphics processing units & CUDA.read more
Citations
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Journal ArticleDOI
Recurrent Neural Network and random forest for analysis and accurate forecast of atmospheric pollutants: A case study in Hangzhou, China
TL;DR: Wang et al. as discussed by the authors used Recurrent Neural Network (RNN) and Random Forest (RF) to analyze the air pollution in Hangzhou, which is one of the most prosperous cities in China.
Journal ArticleDOI
Ultra-Scalable CPU-MIC Acceleration of Mesoscale Atmospheric Modeling on Tianhe-2
Wei Xue,Chao Yang,Haohuan Fu,Xinliang Wang,Yangtong Xu,Junfeng Liao,Lin Gan,Yutong Lu,Rajiv Ranjan,Lizhe Wang +9 more
TL;DR: An ultra-scalable algorithm is designed and optimized to accelerate a 3D compressible Euler atmospheric model on the CPU-MIC hybrid system of Tianhe-2 to achieve over 8 percent of the peak performance in double precision.
Proceedings ArticleDOI
Redesigning CAM-SE for peta-scale climate modeling performance and ultra-high resolution on Sunway TaihuLight
Haohuan Fu,Junfeng Liao,Nan Ding,Xiaohui Duan,Lin Gan,Yishuang Liang,Xinliang Wang,Jinzhe Yang,Yan Zheng,Weiguo Liu,Lanning Wang,Guangwen Yang +11 more
TL;DR: The Community Atmosphere Model is ported, redesigned, and scaled to the full system of the Sunway TaihuLight, and provides peta-scale climate modeling performance, and enables the first simulation of the complete lifecycle of hurricane Katrina.
Journal ArticleDOI
Optimizing high-resolution Community Earth System Model on a heterogeneous many-core supercomputing platform
Shaoqing Zhang,Haohuan Fu,Lixin Wu,Yuxuan Li,Hong Wang,Yunhui Zeng,Xiaohui Duan,Wubing Wan,Li Wang,Yuan Zhuang,Hongsong Meng,Kai Xu,Ping Xu,Lin Gan,Zhao Liu,Sihai Wu,Yuhu Chen,Haining Yu,Shupeng Shi,Lanning Wang,Shiming Xu,Wei Xue,Weiguo Liu,Guo Qiang,Jie Zhang,Guanghui Zhu,Yang Tu,Jim Edwards,Allison H. Baker,Jianlin Yong,Man Yuan,Yangyang Yu,Qiuying Zhang,Zedong Liu,Mingkui Li,Dongning Jia,Guangwen Yang,Zhiqiang Wei,Jingshan Pan,Ping Chang,Gokhan Danabasoglu,Stephen Yeager,Nan Rosenbloom,Ying Guo +43 more
TL;DR: The refactoring and optimizing processes detailed in this paper on the Sunway system should have implications for similar efforts on other heterogeneous many-core systems such as GPU-based high-performance computing (HPC) systems.
Journal ArticleDOI
Unveiling tropospheric ozone by the traditional atmospheric model and machine learning, and their comparison:A case study in hangzhou, China.
TL;DR: It is deduced that the tropospheric ozone formation process tends to be not only non-linear but also non-smooth, and machine learning, whose characteristics are rapid convergence, short calculating time, adaptation of forecasting episodes, small program memory, higher accuracy and less cost, is able to predict troposphere ozone more accurately.
References
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Journal ArticleDOI
Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave
TL;DR: A rapid and accurate radiative transfer model (RRTM) for climate applications has been developed and the results extensively evaluated as discussed by the authors, which is performed using the correlated-k method: the k distributions are attained directly from the LBLRTM line-byline model, which connects the absorption coefficients used by RRTM to high-resolution radiance validations done with observations.
Journal Article
The WRF Single-Moment 6-Class Microphysics Scheme (WSM6)
Song-You Hong,Jeong-Ock Jade Lim +1 more
TL;DR: In this article, the performance of the Weather Research and Forecasting (WRF)-Single-Moment- Microphysics scheme (WSMMPs) with a revised ice-microphysics of the Hong et al. was examined for an idealized storm case and a heavy rainfall event over Korea.
Proceedings ArticleDOI
Scalable parallel programming with CUDA
TL;DR: Presents a collection of slides covering the following topics: CUDA parallel programming model; CUDA toolkit and libraries; performance optimization; and application development.
Book
Programming Massively Parallel Processors: A Hands-on Approach
David B. Kirk,Wen-mei W. Hwu +1 more
TL;DR: Programming Massively Parallel Processors: A Hands-on Approach as discussed by the authors shows both student and professional alike the basic concepts of parallel programming and GPU architecture, and various techniques for constructing parallel programs are explored in detail.
GPU Computing
TL;DR: The background, hardware, and programming model for GPU computing is described, the state of the art in tools and techniques are summarized, and four GPU computing successes in game physics and computational biophysics that deliver order-of-magnitude performance gains over optimized CPU applications are presented.