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分布式可视化系统中基于非确定性多项式时间完全问题的图像合成

NPU-based image compositing in a distributed visualization system.

作者信息

Pugmire David, Monroe Laura, Connor Davenport Carolyn, DuBois Andrew, DuBois David, Poole Stephen

机构信息

Los Alamos National Laboratory, Los Alamos, NM 87545, USA.

出版信息

IEEE Trans Vis Comput Graph. 2007 Jul-Aug;13(4):798-809. doi: 10.1109/TVCG.2007.1026.

Abstract

This paper describes the first use of a Network Processing Unit (NPU) to perform hardware-based image composition in a distributed rendering system. The image composition step is a notorious bottleneck in a clustered rendering system. Furthermore, image compositing algorithms do not necessarily scale as data size and number of nodes increase. Previous researchers have addressed the composition problem via software and/or custom-built hardware. We used the heterogeneous multicore computation architecture of the Intel IXP28XX NPU, a fully programmable commercial off-the-shelf (COTS) technology, to perform the image composition step. With this design, we have attained a nearly four-times performance increase over traditional software-based compositing methods, achieving sustained compositing rates of 22-28 fps on a 1,024 x 1,024 image. This system is fully scalable with a negligible penalty in frame rate, is entirely COTS, and is flexible with regard to operating system, rendering software, graphics cards, and node architecture. The NPU-based compositor has the additional advantage of being a modular compositing component that is eminently suitable for integration into existing distributed software visualization packages.

摘要

本文介绍了首次在分布式渲染系统中使用网络处理单元(NPU)来执行基于硬件的图像合成。在集群渲染系统中,图像合成步骤是一个众所周知的瓶颈。此外,随着数据大小和节点数量的增加,图像合成算法不一定能实现扩展。先前的研究人员已通过软件和/或定制硬件来解决合成问题。我们使用英特尔IXP28XX NPU的异构多核计算架构(一种完全可编程的商用现货(COTS)技术)来执行图像合成步骤。通过这种设计,我们在性能上比传统的基于软件的合成方法提高了近四倍,在1024×1024图像上实现了22 - 28帧/秒的持续合成速率。该系统具有完全可扩展性,帧率损失可忽略不计,完全采用商用现货技术,并且在操作系统、渲染软件、图形卡和节点架构方面具有灵活性。基于NPU的合成器还有一个额外的优点,即它是一个模块化的合成组件,非常适合集成到现有的分布式软件可视化包中。

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