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Interactive parallel visualization of large particle datasets

机译:大颗粒数据集的交互式并行可视化

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摘要

This paper presents a new interactive parallel visualization method for large particle data-sets by directly rendering individual particles based on a parallel rendering cluster. A frame rate of 9 frames-per-second is achieved for 256~3 particles using 7 render nodes and a display node. This provides real time interaction and interactive exploration of large datasets, which has been a challenge for scientific visualization and other real time data mining applications. A dynamic data distribution technique is designed for highlighting a subset of the particle volume. It maintains load balance of the system and minimizes network traffic by reconfiguring the rendering chain. Experiments show that on a given subset, interactive manipulation of the subset usually requires less than 3% of the particles inside the subset to be redistributed among all render nodes. The method can be easily extended to other large datasets such as hydrodynamic turbulence, fluid dynamics, and so on.
机译:本文提出了一种新的交互式并行可视化方法,该方法通过基于并行渲染群集直接渲染单个粒子来处理大粒子数据集。使用7个渲染节点和一个显示节点,可对256〜3个粒子实现9帧/秒的帧速率。这提供了对大型数据集的实时交互和交互式探索,这对于科学可视化和其他实时数据挖掘应用程序是一个挑战。动态数据分配技术旨在突出显示粒子体积的子集。通过重新配置渲染链,它可以保持系统的负载平衡并最大程度地减少网络流量。实验表明,在给定的子集上,对该子集的交互操作通常需要将少于3%的粒子重新分配到所有渲染节点之间。该方法可以轻松地扩展到其他大型数据集,例如流体动力学湍流,流体动力学等。

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