A GPU-based Approach for Massive Model Rendering with Frame-to-Frame Coherence

Peng, Chao; Cao, Yong

A GPU-based Approach for Massive Model Rendering with Frame-to-Frame Coherence

Date

2012

Authors

Peng, Chao
Cao, Yong

Publisher

The Eurographics Association and John Wiley and Sons Ltd.

Abstract

Rendering massive 3D models in real-time has long been recognized as a very challenging problem because of the limited computational power and memory space available in a workstation. Most existing rendering techniques, especially level of detail (LOD) processing, have suffered from their sequential execution natures. We present a GPU-based approach which enables interactive rendering of large 3D models with hundreds of millions of triangles. Our work contributes to the massive rendering research in two ways. First, we present a simple and efficient mesh simplification algorithm towards GPU architecture. Second, we propose a novel GPU out-of-core approach that adopts a frame-to-frame coherence scheme in order to minimize the high communication cost between CPU and GPU. Our results show that the parallel algorithm of mesh simplification and the GPU out-of-core approach significantly improve the overall rendering performance.

        @article{10.1111:j.1467-8659.2012.03018.x
,
journal = {Computer Graphics Forum},
title = {{A GPU-based Approach for Massive Model Rendering with Frame-to-Frame Coherence
}},
author = {Peng, Chao and 
Cao, Yong
},
year = {2012
},
publisher = {The Eurographics Association and John Wiley and Sons Ltd.
},
ISSN = {1467-8659
},
DOI = {10.1111/j.1467-8659.2012.03018.x
}
}

URI

https://doi.org/10.1111/j.1467-8659.2012.03018.x

Collections

31-Issue 2
Full Papers 2012 - CGF 31-Issue 2

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