DocumentCode :
2488449
Title :
Advanced GPU-based state-preserving particle system
Author :
Cai, Xingquan ; Li, Jinhong ; Yang, Jian ; Su, Zhitong
Author_Institution :
Coll. of Inf. Eng., North China Univ. of Technol., Beijing
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
4236
Lastpage :
4240
Abstract :
In this paper, we present a new method to build advanced particle system on GPU and the particle system is a state-preserving simulation system. The method processes the birth and death of particles via index on CPU and uses a pair of floating point textures on GPU to store the dynamic attributes of particles. This method also updates the dynamic attributes of particles, handles the collision between particles and other models and renders the system on GPU. We also provide a three-layers hierarchical structure to manage the particle system and batch rendering the particles having the similar attributes. Finally, the experiments prove that our method is feasible and high performance.
Keywords :
computer graphic equipment; rendering (computer graphics); GPU-based state-preserving particle system; batch rendering; dynamic attributes; floating point textures; graphics processing unit; Automation; Central Processing Unit; Clouds; Computational modeling; Computer graphics; Educational institutions; Games; History; Intelligent control; Rendering (computer graphics); Floating Point Textures; GPU (Graphics Processing Unit); collision detection; particle system; state-preserving simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593602
Filename :
4593602
Link To Document :
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