基于可视化API的商品集群交互式并行可视化应用
Application of interactive parallel visualization for commodity-based clusters using visualization APIs
摘要：
我们提出了一个高效和廉价的开发应用程序的交互式高性能并行可视化。我们扩展了流行的API，如Open Inventor和VTK，以支持基于商品的集群可视化。我们的实现遵循标准的主/从概念：一般的想法是有一个“主”节点，它将截取一个顺序的图形用户界面（GUI），并将其广播到“从”节点。节点之间的交互使用MPI实现。并行远程渲染使用Chromium。本文主要是对我们的实施经验的报告。我们详细介绍了拟议的模型及其实施的关键方面。此外，我们提出的性能测量，我们基准测试和定量演示的依赖性的可视化速度的数据大小和网络带宽，我们确定的奇异性，并得出结论铬的排序优先渲染架构。这项工作最原始的部分是Open Inventor和Chromium的结合使用。
英文摘要：
We present an efficient and inexpensive to develop application for interactive high-performance parallel visualization. We extend popular APIs such as Open Inventor and VTK to support commodity-based cluster visualization. Our implementation follows a standard master/slave concept: the general idea is to have a ``Master'' node, which will intercept a sequential graphical user interface (GUI) and broadcast it to the ``Slave'' nodes. The interactions between the nodes are implemented using MPI. The parallel remote rendering uses Chromium. This paper is mainly the report of our implementation experiences. We present in detail the proposed model and key aspects of its implementation. Also, we present performance measurements, we benchmark and quantitatively demonstrate the dependence of the visualization speed on the data size and the network bandwidth, and we identify the singularities and draw conclusions on Chromium's sort-first rendering architecture. The most original part of this work is the combined use of Open Inventor and Chromium.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
