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

Content Provider	Springer Nature Link
Author	Fan, Jing Ji, Hai feng Guan, Xin xin Tang, Ying
Copyright Year	2012
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.
Starting Page	816
Ending Page	827
Page Count	12
File Format	PDF
ISSN	18691951
Journal	Journal of Zhejiang University SCIENCE C
Volume Number	13
Issue Number	11
e-ISSN	1869196X
Language	English
Publisher	SP Zhejiang University Press
Publisher Date	2012-11-08
Publisher Place	Heidelberg
Access Restriction	Subscribed
Subject Keyword	GPU Seed dispersal Large-scale Multi-resolution Data clustering Computer Systems Organization and Communication Networks Electrical Engineering Computer Science Communications Engineering, Networks Electronics and Microelectronics, Instrumentation Computer Hardware
Content Type	Text
Resource Type	Article
Subject	Engineering

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