GPU-Based parallelization algorithm for 2d line integral convolution

Authors:
Bo Qin;Zhanbin Wu;Fang Su;Titi Pang
Affiliations:
Department of Computer Science & Technology, Ocean University of China, Qingdao, China;Department of Computer Science & Technology, Ocean University of China, Qingdao, China;Department of Computer Science & Technology, Ocean University of China, Qingdao, China;Department of Computer Science & Technology, Ocean University of China, Qingdao, China
Venue:
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Year:
2010

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Abstract

GPU (Graphics Processing Unit) technology provides an efficient method for parallel computation This paper will present a GPU-based Line Integral Convolution (LIC) parallel algorithm for visualization of discrete vector fields to accelerate LIC algorithm The algorithm is implemented with parallel operations using Compute Unified Device Architecture (CUDA) programming model in GPU The method can provide up to about 50× speed-up without any sacrifice on solution quality, compared to conventional sequential computation Experiment results show that it is useful for in-time remote visualization of discrete vector fields.