Fast flow visualization on CUDA based on texture optimization

Authors:
Ying Tang;Zhan Zhou;Xiao-Ying Shi;Jing Fan
Affiliations:
School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China;School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China;School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China, School of Information Engineering, Zhejiang University of Technology, Hangzhou, China;School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
Venue:
AMT'12 Proceedings of the 8th international conference on Active Media Technology
Year:
2012

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Abstract

Flow visualization plays an important role in many scientific visualization applications. It is effective to visualize flow fields with moving textures which vividly capture the properties of flow field through varying texture appearances.Texture-optimization-based (TOB) flow visuliaztion can produce excellent visualization results of flow fields. However, TOB flow visualization without acceleration is time-consuming. In this paper, we propose fast flow visualization based on the accelerated parallel TOB flow visualization which is entirely implemented on CUDA. High performance is achieved since most time-consuming computations are performed in parallel on GPU and data transmission between CPU and GPU are arranged properly. The experimental results show that our TOB flow visualization generates results with fast synthesis speed and high synthesis quality.