NDLI: Parallel unsteady flow line integral convolution for high-performance dense visualization

Content Provider	IEEE Xplore Digital Library
Author	Zi'ang Ding Zhanping Liu Yu Yang Wei Chen
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA (Zi'ang Ding) \|\| State Key Lab. of CAD&CG, Zhejiang Univ., Hangzhou, China (Yu Yang; Wei Chen) \|\| Div. of Comput. Sci., Kentucky State Univ., KY, USA (Zhanping Liu)
Abstract	This paper presents an accurate parallel implementation of unsteady flow line integral convolution (UFLIC) for high-performance visualization of large time-varying flows. Our approach differs from previous implementations by using a novel value scattering+gathering mechanism to parallelize UFLIC and designing a pathline reuse strategy to reduce the computational cost of pathline integration. By exploiting the massive parallelism of modern graphical processing units (GPU), the proposed method allows for real-time dense visualization of unsteady flows with high spatial-temporal coherence.
Starting Page	25
Ending Page	30
File Size	6384031
Page Count	6
File Format	PDF
ISBN	9781467368797
DOI	10.1109/PACIFICVIS.2015.7156352
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Convolution Data visualization Graphics processing units Coherence Animation I.3.3 [Computer Graphics]: Pictures / Image Generation
Content Type	Text
Resource Type	Article

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