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Out-of-core sort-first parallel rendering for cluster-based tiled displays

机译:基于集群的平铺显示的核外排序优先并行渲染

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We present a sort-first parallel system for out-of-core rendering of large models on cluster-based tiled displays. The system is able to render high-resolution images of large models at interactive frame rates using off-the-shelf PCs with small memory. Given a model, we use an out-of-core preprocessing algorithm to build an on-disk hierarchical representation for the model. At run time, each PC renders the image for a display tile, using an out-of-core rendering approach that employs multiple threads to overlap rendering, visibility computation, and disk operations. The system can operate in approximate mode for real-time rendering, or in conservative mode for rendering with guaranteed accuracy. Running our system in approximate mode on a cluster of 16 PCs each with 512 MB of main memory, we are able to render 12-megapixel images of a 13-million-trianglemodel with 99.3% of accuracy at 10.8 frames per second. Rendering such a large model at high resolutions and interactive frame rates would typically require expensive high-end graphics hardware. Our results show that a cluster of inexpensive PCs is an attractive alternative to those high-end systems.
机译:我们提出了一种排序优先的并行系统,用于在基于集群的平铺显示器上进行大型模型的核心外渲染。该系统能够使用具有小内存的现成PC以交互帧速率渲染大型模型的高分辨率图像。给定一个模型,我们使用核外预处理算法为该模型构建磁盘上的分层表示。在运行时,每台PC都使用核外渲染方法来渲染显示图块的图像,该方法采用了多个线程来重叠渲染,可见性计算和磁盘操作。该系统可以在近似模式下进行实时渲染,也可以在保守模式下进行工作以保证准确性。在大约16台PC的群集上以近似模式运行我们的系统,每台PC均具有512 MB的主内存,我们能够以每秒10.8帧的速度以99.3%的精度渲染1300万个三角形模型的12百万像素图像。以高分辨率和交互式帧速率渲染如此大的模型通常需要昂贵的高端图形硬件。我们的结果表明,廉价的PC集群是那些高端系统的有吸引力的替代方案。

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