A Scalable Parallel Software Volume Rendering Algorithm for Large-Scale Unstructured Data

Authors:
Kangjian Wangc;Yao Zheng
Affiliations:
College of Computer Science, and Center for Engineering and Scientific Computation, Zhejiang University, Hangzhou, 310027, P.R. China;College of Computer Science, and Center for Engineering and Scientific Computation, Zhejiang University, Hangzhou, 310027, P.R. China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Year:
2007

Citing 8
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Abstract

In this paper, we develop a highly accurate parallel software scanned cell projection algorithm (PSSCPA) which is applicable of any classification system. This algorithm could handle both convex and non-convex meshes, and provide maximum flexibilities in applicable types of cells. Compared with previous algorithms using 3D commodity graphics hardware, it introduces no the volume decomposition and rendering artifacts in the resulting images. Finally, high resolution images generated by the algorithm are provided, and the scalability of the algorithm is demonstrated on a PC Cluster with modest parallel resources.