Memory-efficient single-pass GPU rendering of multifragment effects

ISCAS OpenIR

	Memory-efficient single-pass GPU rendering of multifragment effects
	Wang, Wencheng (1); Xie, Guofu (1)
	2013
发表期刊	IEEE Transactions on Visualization and Computer Graphics
ISSN	10772626
卷号	19 期号:8 页码:1307-1316
摘要	Rendering multifragment effects using graphics processing units (GPUs) is attractive for high speed. However, the efficiency is seriously compromised, because ordering fragments on GPUs is not easy and the GPU's memory may not be large enough to store the whole scene geometry. Hitherto, existing methods have been unsuitable for large models or have required many passes for data transmission from CPU to GPU, resulting in a bottleneck for speedup. This paper presents a stream method for accurate rendering of multifragment effects. It decomposes the model into parts and manages these in an efficient manner, guaranteeing that the parts can easily be ordered with respect to any viewpoint, and that each part can be rendered correctly on the GPU. Thus, we can transmit the model data part by part, and once a part has been loaded onto the GPU, we immediately render it and composite its result with the results of the processed parts. In this way, we need only a single pass for data access with a very low bounded memory requirement. Moreover, we treat parts in packs for further acceleration. Results show that our method is much faster than existing methods and can easily handle large models of any size. © 1995-2012 IEEE.; Rendering multifragment effects using graphics processing units (GPUs) is attractive for high speed. However, the efficiency is seriously compromised, because ordering fragments on GPUs is not easy and the GPU's memory may not be large enough to store the whole scene geometry. Hitherto, existing methods have been unsuitable for large models or have required many passes for data transmission from CPU to GPU, resulting in a bottleneck for speedup. This paper presents a stream method for accurate rendering of multifragment effects. It decomposes the model into parts and manages these in an efficient manner, guaranteeing that the parts can easily be ordered with respect to any viewpoint, and that each part can be rendered correctly on the GPU. Thus, we can transmit the model data part by part, and once a part has been loaded onto the GPU, we immediately render it and composite its result with the results of the processed parts. In this way, we need only a single pass for data access with a very low bounded memory requirement. Moreover, we treat parts in packs for further acceleration. Results show that our method is much faster than existing methods and can easily handle large models of any size. © 1995-2012 IEEE.
收录类别	SCI ; EI
关键词	Multifragment Effects Depth Ordering Fixed Amount Of Memory Large Models Accurate Rendering
部门归属	(1) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, No. 4, South 4th Street, Zhongguancun, Haidian District, Beijing 100190, China; (2) University of Chinese Academy of Sciences, Beijing 100049, China
语种	英语
WOS记录号	WOS:000320658600006
引用统计
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16696
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Wang, Wencheng ,Xie, Guofu . Memory-efficient single-pass GPU rendering of multifragment effects[J]. IEEE Transactions on Visualization and Computer Graphics,2013,19(8):1307-1316.
APA	Wang, Wencheng ,&Xie, Guofu .(2013).Memory-efficient single-pass GPU rendering of multifragment effects.IEEE Transactions on Visualization and Computer Graphics,19(8),1307-1316.
MLA	Wang, Wencheng ,et al."Memory-efficient single-pass GPU rendering of multifragment effects".IEEE Transactions on Visualization and Computer Graphics 19.8(2013):1307-1316.