2015 IEEE Pacific Visualization Symposium (PacificVis) (2015)
April 14, 2015 to April 17, 2015
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
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.
Data visualization, Convolution, Graphics processing units, Visualization, Coherence, Animation
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.