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2015 IEEE Pacific Visualization Symposium (PacificVis) (2015)
Hangzhou, China
April 14, 2015 to April 17, 2015
ISBN: 978-1-4673-6879-7
pp: 25-30
Zi'ang Ding , Department of Computer Science, Purdue University, USA
Zhanping Liu , Division of Computer Science, Kentucky State University, USA
Yang Yu , State Key Lab of CAD&CG, Zhejiang University, China
Wei Chen , State Key Lab of CAD&CG, Zhejiang University, China
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.
INDEX TERMS
Data visualization, Convolution, Graphics processing units, Visualization, Coherence, Animation
CITATION

Zi'ang Ding, Z. Liu, Yang Yu and Wei Chen, "Parallel unsteady flow line integral convolution for high-performance dense visualization," 2015 IEEE Pacific Visualization Symposium (PacificVis)(PACIFICVIS), Hangzhou, China, 2015, pp. 25-30.
doi:10.1109/PACIFICVIS.2015.7156352
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