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An architecture for Java-based real-time distributed visualization

机译:基于Java的实时分布式可视化的架构

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In this paper, we present a Java-based software architecture for real-time visualization that utilizes a cluster of conventional PCs to generate high-quality interactive graphics. Normally, a large multiprocessor computer would be needed for interactive visualization tasks requiring more processing power than a single PC can provide. By using clusters of PCs, enormous cost savings can be realized, and proprietary "high-end" hardware is no longer necessary for these tasks. Our architecture minimizes the amount of synchronization needed between PCs, resulting in excellent scalability. It provides a modular framework that can accommodate a wide variety of rendering algorithms and data formats, provided that the rendering algorithms can generate pixels individually and the data is duplicated on each PC. Demonstration modules that implement ray tracing, fractal rendering, and volume rendering algorithms were developed to evaluate the architecture. Results are encouraging-using 15 PCs connected to a standard 100 Megabit/s Ethernet network, the system can interactively render simple to moderately complex data sets at modest resolution. Excellent scalability is achieved; however, our tests were limited to a cluster of 15 PCs. Results also demonstrate that Java is a viable platform for real-time distributed visualization.
机译:在本文中,我们提出了一种基于Java的软件架构,用于实时可视化,该架构利用传统PC集群来生成高质量的交互图形。通常,需要大量的多处理器计算机,以便进行比单个PC提供更多处理能力的交互式可视化任务。通过使用PC集群,可以实现巨大的成本节省,并且对这些任务不再需要专有的“高端”硬件。我们的架构最大限度地减少了PC之间所需的同步量,从而产生出色的可扩展性。它提供了一种模块化框架,可以适应各种渲染算法和数据格式,只要呈现算法可以单独生成像素,并且数据在每个PC上复制。开发了实现光线跟踪,分形渲染和体积渲染算法的演示模块以评估架构。结果令人鼓舞 - 使用连接到标准的100兆比克/秒以太网网络的15个PC,系统可以以适度的分辨率为中等复杂的数据集交互方式。实现了优异的可扩展性;但是,我们的测试仅限于15个PC集群。结果还表明Java是一个用于实时分布式可视化的可行平台。

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