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

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Zi'ang Ding, Zhanping Liu, Yang Yu, Wei Chen

Published: 2015, Last Modified: 21 Jan 2026PacificVis 2015EveryoneRevisionsBibTeXCC BY-SA 4.0
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.