High-Performance Dynamic Graphics Streaming for Scalable Adaptive Graphics Environment

Byungil Jeong, L. Renambot, R. Jagodic, Rajvikram Singh, Julieta Aguilera, Andrew E. Johnson, J. Leigh
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引用次数: 158

Abstract

The scalable adaptive graphics environment (SAGE) is specialized middleware for enabling data, high-definition video and extremely high-resolution graphics to be streamed in real-time from remotely distributed rendering and storage clusters to scalable display walls over ultra high-speed networks. In this paper, we present the SAGE architecture, focusing on its dynamic graphics streaming capability. In the SAGE framework, multiple visualization applications can be streamed to large tiled displays and viewed at the same time. The application windows can be moved, resized and overlapped like any standard desktop window manager. Every window movement or resize operation requires dynamic and non-trivial reconfiguration of the involved graphics streams. This approach has been successfully shown to scale to support streaming on the LambdaVision 100 megapixel display wall. SAGE is now being extended to support distance collaboration with multiple endpoints by streaming visualization to all the participants
用于可伸缩自适应图形环境的高性能动态图形流
可扩展自适应图形环境(SAGE)是一种专门的中间件,用于使数据、高清视频和极高分辨率图形能够通过超高速网络从远程分布式渲染和存储集群实时传输到可扩展的显示墙。在本文中,我们介绍了SAGE架构,重点介绍了它的动态图形流处理能力。在SAGE框架中,可以将多个可视化应用程序流式传输到大型平铺显示器并同时查看。应用程序窗口可以像任何标准桌面窗口管理器一样移动、调整大小和重叠。每个窗口移动或调整大小操作都需要对所涉及的图形流进行动态和重要的重新配置。这种方法已经被成功地证明可以在LambdaVision 1亿像素的显示墙上支持流媒体。SAGE现在正在扩展,通过向所有参与者流式可视化来支持与多个端点的远程协作
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