计算机科学
工作站
渲染(计算机图形)
绘图
流式处理
分类
可扩展性
计算机图形学(图像)
并行计算
分布式计算
操作系统
数据库
作者
Greg Humphreys,Mike Houston,Ren Ng,Randall Frank,Sean Ahern,P. D. Kirchner,James T. Klosowski
标识
DOI:10.1145/566570.566639
摘要
We describe Chromium, a system for manipulating streams of graphics API commands on clusters of workstations. Chromium's stream filters can be arranged to create sort-first and sort-last parallel graphics architectures that, in many cases, support the same applications while using only commodity graphics accelerators. In addition, these stream filters can be extended programmatically, allowing the user to customize the stream transformations performed by nodes in a cluster. Because our stream processing mechanism is completely general, any cluster-parallel rendering algorithm can be either implemented on top of or embedded in Chromium. In this paper, we give examples of real-world applications that use Chromium to achieve good scalability on clusters of workstations, and describe other potential uses of this stream processing technology. By completely abstracting the underlying graphics architecture, network topology, and API command processing semantics, we allow a variety of applications to run in different environments.
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