NDLI: A CPU-GPU hybrid computing framework for real-time clothing animation

Content Provider	IEEE Xplore Digital Library
Author	Hanwen Li Yi Wan Guanghui Ma
Copyright Year	2011
Description	Author affiliation: School of Information Science & Engineering, Lanzhou University, Lanzhou, China (Hanwen Li; Yi Wan; Guanghui Ma)
Abstract	Real-time clothing animation has wide applications in many areas such as the design industry and e-commerce. Existing cloth simulation techniques based on the physical model can produce realistic animation effect. But they often incur a high computational load and hence are very time-consuming. GPU has become more widely used for high performance computing for its parallel processing capability. However, in the clothing animation problem, some tasks may not be suitable for GPU. In order to achieve the real-time realistic animation effect, this paper proposes a CPU-GPU hybrid computing framework. It is found that this framework can significantly improve bandwidth utilization. In this framework, the GPU is mainly in charge of high level parallel modules such as force calculation, collision detection and position update for each cloth vertex, while the CPU deals with the serial over-stretching process and other related computing. The implemented system achieves 10 times performance increase compared to the CPU mode, and can generate about 100 clothing animation key frames per second, thus meeting the real-time requirement for clothing animation.
Starting Page	391
Ending Page	396
File Size	213807
Page Count	6
File Format	PDF
ISBN	9781612842035
e-ISBN	9781612842042
DOI	10.1109/CCIS.2011.6045096
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clothing animation Computational modeling Instruction sets Clothing Force Mass-spring model GPU Graphics processing unit CUDA Animation Parallel computation Collision detection Springs
Content Type	Text
Resource Type	Article

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