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机构地区:[1]Department of Computer Science and Technology,University of Science and Technology
出 处:《China Communications》2011年第6期28-35,共8页中国通信(英文版)
基 金:supported by National High Technical Research and Development Program of China (863 program) under GrantNo.2009AA062801;National Natural Science Foundation of China under Grant No.60973063;Beijing Natural Science Foundation of China under Grant No.4092028;China Fundamental Research Funds for the Central Universities under Grant No.FRF-TP-09-016B;New Century Personnel Plan for the Ministry of Education of China under Grant No.NCET-10-0221
摘 要:Simulating turbulent liquids with breaking waves and splashes is among the most desired features in fluid animation. Lagrangian methods such as Smoothed Particle Hydrodynamics method (SPH) are a promising way to capture such properties. However, the Particle-based liquid surface simulation has not been applied very well since its consumption is way too large. This paper derives the governing equations in SPH approaches and parallelizes the dynamics-based surface simulation with the MapReduce program models which apply the SPH approach in Cloud Computing. Compared to the serial methods, this approach obtained a 3.11 times speedup on the experimental platform.Simulating turbulent liquids with breaking waves and splashes is among the most desired features in fluid animation. Lagrangian methods such as Smoothed Particle Hydrodynamics method (SPH) are a promising way to capture such properties. However, the Particle-based liquid surface simulation has not been applied very well since its consumption is way too large. This paper derives the governing equations in SPH approaches and parallelizes the dynamics-based surface simulation with the MapReduce program models which apply the SPH approach in Cloud Computing. Compared to the serial methods, this approach obtained a 3.11 times speedup on the experimental platform.
关 键 词:MAPREDUCE SPH cloud computing free surface flows parallelize
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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