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Fast Flow Visualization on CUDA Based on Texture Optimization

机译:基于纹理优化的CUDA快速变动可视化

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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.
机译:流量可视化在许多科学可视化应用中起着重要作用。可视化流动场与移动纹理可视化,这些纹理通过不同的纹理外观生动地捕获流场的特性。基于折叠优化的(TOB)流导率可以产生流场的优异的可视化结果。但是,无需加速的ToB流量可视化是耗时的。在本文中,我们提出了基于加速平行的TOB流动可视化的快速流动可视化,该流量可视化完全在CUDA上实现。由于大多数耗时的计算在GPU上并行地执行了高度计算,并且CPU和GPU之间的数据传输正确地布置了高性能。实验结果表明,我们的ToB流量可视化产生了快速合成速度和高合成质量的结果。

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