A Parallel Framework for Interactive Rendering of Massive Complex Scenes on PCs Cluster

This paper present a parallel framework for interactively rendering massive complex scenes on PCs cluster. The framework integrates parallel rendering, scene graph, software acceleration techniques, and out-of-core data management. We propose a novel parallel rendering architecture based on dynamic...

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Bibliographic Details
Main Authors: Xiaohong Jiang, Kaibin Lei, Hua Xiong, Yan Li, Jiaoying Shi
Format: Conference Proceeding
Language:English
Subjects:
Acceleration
Application software
Computer architecture
Computer graphics
Layout
Memory management
Personal communication networks
Pipelines
Rendering (computer graphics)
Testing
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Summary:This paper present a parallel framework for interactively rendering massive complex scenes on PCs cluster. The framework integrates parallel rendering, scene graph, software acceleration techniques, and out-of-core data management. We propose a novel parallel rendering architecture based on dynamic rendering team and hybrid rendering pipeline to balance work load and to handle different graphics primitive distribution. A unified scene graph representation is designed for flexible object manipulation in upper applications and efficient rendering in lower rendering pipeline. We present a priority-based out-of-core data management scheme which guarantees fixed memory footprint and data scheduling efficiency. We have implemented this framework and developed two applications to test its performance on a cluster of 32 PCs: a walkthrough application for massive complex scenes and a distributed multi- player video game.
DOI:10.1109/ICIG.2007.141