DisplayCluster: An Interactive Visualization Environment for Tiled Displays

DisplayCluster: An Interactive Visualization Environment for Tiled Displays
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DisplayCluster:平铺显示的交互式可视化环境

DOI:
10.1109/cluster.2012.78
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发表时间:
2012
期刊:
2012 IEEE International Conference on Cluster Computing
影响因子:
--
通讯作者:
K. Gaither
K. Gaither
中科院分区:
--
文献类型:
--
作者:
Gregory P. Johnson;G. Abram;Brandt M. Westing;Paul A. Navrátil;K. Gaither

文献摘要

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Display Cluster是一个交互式可视化环境,用于集群驱动的平铺显示。它提供了一个动态的、类似桌面的窗口系统,具有内置的媒体查看功能,支持超高分辨率图像和视频内容以及流媒体,允许显示来自远程源(如笔记本电脑或远程可视化机器)的任意应用程序。这种支持扩展到高性能并行可视化应用程序,实现交互式流式传输和显示数十亿像素的动态内容。Display Cluster还支持通过诸如鼠标、智能手机和Microsoft Kinect等设备进行多用户、多模式交互。此外,我们的环境提供了一个基于Python的脚本接口,可以自动化任何交互。在本文中,我们描述了显示集群的功能和体系结构,将其与现有的平铺显示环境进行比较,并举例说明它如何将大规模远程可视化集群和高分辨率平铺显示系统的功能联合收割机结合起来。特别是,我们证明了显示集群可以流和显示高达36兆像素的真实的时间和多达144兆像素的交互式,这是3倍的速度和4倍比其他可用的显示环境。此外,我们实现了超过千兆像素每秒的聚合带宽流之间的远程可视化集群和我们的平铺显示系统。
Display Cluster is an interactive visualization environment for cluster-driven tiled displays. It provides a dynamic, desktop-like windowing system with built-in media viewing capability that supports ultra high-resolution imagery and video content and streaming that allows arbitrary applications from remote sources (such as laptops or remote visualization machines) to be shown. This support extends to high-performance parallel visualization applications, enabling interactive streaming and display for hundred-mega pixel dynamic content. Display Cluster also supports multi-user, multi-modal interaction via devices such as joysticks, smart phones, and the Microsoft Kinect. Further, our environment provides a Python-based scripting interface to automate any set of interactions. In this paper, we describe the features and architecture of Display Cluster, compare it to existing tiled display environments, and present examples of how it can combine the capabilities of large-scale remote visualization clusters and high-resolution tiled display systems. In particular, we demonstrate that Display Cluster can stream and display up to 36 mega pixels in real time and as many as 144 mega pixels interactively, which is 3× faster and 4× larger than other available display environments. Further, we achieve over a gig pixel per second of aggregate bandwidth streaming between a remote visualization cluster and our tiled display system.