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CLC number: TP391.9

On-line Access: 2012-11-02

Received: 2012-05-23

Revision Accepted: 2012-08-09

Crosschecked: 2012-10-12

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Journal of Zhejiang University SCIENCE C 2012 Vol.13 No.11 P.816-827

http://doi.org/10.1631/jzus.C1200147


A GPU-based multi-resolution algorithm for simulation of seed dispersal


Author(s):  Jing Fan, Hai-feng Ji, Xin-xin Guan, Ying Tang

Affiliation(s):  School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China

Corresponding email(s):   fanjing@zjut.edu.cn, tangying@gmail.com

Key Words:  GPU, Seed dispersal, Large-scale, Multi-resolution, Data clustering


Jing Fan, Hai-feng Ji, Xin-xin Guan, Ying Tang. A GPU-based multi-resolution algorithm for simulation of seed dispersal[J]. Journal of Zhejiang University Science C, 2012, 13(11): 816-827.

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Abstract: 
In forest dynamics models, the intensive computation and load involved in the simulation of seed dispersal can become unbearably huge for large-scale forest analysis. To solve this problem, we propose a multi-resolution algorithm to compute seed dispersal on GPU. By exploiting the computation parallelism of seed dispersal, the computation of the whole forest plot is divided into multiple small plot cells, which are computed independently by parallel threads on GPU. To further improve the calculation efficiency with limited threads scale for GPU computation, we propose a hierarchical method to cluster the plot cells into a multi-resolution form according to the biological curves of tree seed dispersal. Experimental results show that our algorithm not only greatly reduces computational time but also obtains comparably correct results as compared to the naive GPU algorithm, which makes it especially suitable for large-scale forest modeling.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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