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A hardware-assisted scalable solution for interactive volume rendering of time-varying data

机译:硬件辅助的可扩展解决方案,用于时变数据的交互式批量渲染

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We present a scalable volume rendering technique that exploits lossy compression and low-cost commodity hardware to permit highly interactive exploration of time-varying scalar volume data. A palette-based decoding technique and an adaptive bit allocation scheme are developed to fully utilize the texturing capability of a commodity 3D graphics card. Using a single PC equipped with a modest amount of memory, a texture-capable graphics card and an inexpensive disk array, we are able to render hundreds of time steps of regularly gridded volume data (up to 42 million voxels each time step) at interactive rates. By clustering multiple PCs together, we demonstrate the data-size scalability of our method. The frame rates achieved make possible the interactive exploration of data in the temporal, spatial and transfer function domains. A comprehensive evaluation of our method based on experimental studies using data sets (up to 134 million voxels per time step) from turbulence flow simulations is also presented.
机译:我们提出了一种可扩展的体绘制技术,该技术利用有损压缩和低成本商品硬件来允许高度互动地探索时变标量体数据。开发了基于调色板的解码技术和自适应位分配方案,以充分利用商品3D图形卡的纹理处理能力。使用配备有少量内存,具有纹理功能的图形卡和便宜的磁盘阵列的单台PC,我们可以交互式地渲染数百个时间间隔的规则网格体积数据(每个时间间隔多达4200万个体素)费率。通过将多个PC群集在一起,我们展示了我们方法的数据大小可伸缩性。达到的帧速率使在时间,空间和传递函数域中的数据交互探索成为可能。还提供了基于实验研究的对我们的方法的综合评估,该实验使用了来自湍流模拟的数据集(每个时间步高达1.34亿个体素)。

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