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.
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Hofsetz, C., Ma, K.-L.: Multi-threaded rendering unstructured-grid volume data on the SGI origin 2000. In: Third Eurographics Workshop on Parallel Graphics and Visualization (2000)
Hong, L., Kaufman, A.: Accelerated ray-casting for curvilinear volumes. In: IEEE Visualization’98, October 1998, pp. 247–254 (1998)
Ma, K.-L.: Parallel volume ray-casting for unstructured-grid data on distributed-memory architectures. In: IEEE Parallel Rendering Symposium, October 1995, pp. 23–30 (1995)
Ma, K.-L., Crockett, T.: A scalable parallel cell-projection volume rendering algorithm for three-dimensional unstructured data. In: IEEE Parallel Rendering Symposium, November 1997, pp. 95–104 (1997)
Moreland, K., Angel, E.: A fast high accuracy volume renderer for unstructured data. In: Proceedings of IEEE Symposium on Volume Visualization and Graphics, October 2004, pp. 9–16 (2004)
Carpenter, L.: The A-buffer, an antialiased hidden surface method. In: Computer Graphics Proc., SIGGRAPH’84, July 1984, pp. 103–108 (1984)
Nieh, J., Levoy, M.: Volume rendering on scalable shared-memory mimd architectures. In: 1992 Workshop on Volume Visualization Proceedings, October 1992, pp. 17–24 (1992)
Farias, R., Silva, C.: Parallelizing the ZSWEEP Algorithm for Distributed-Shared Memory Architectures. In: International Workshop on Volume Graphics,-, October 2001, pp. 91–99 (2001)
Farias, R., Bentes, C., Coelho, A., Guedes, S., Goncalves, L.: Work distribution for parallel ZSweep algorithm. In: XVI Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI’03), pp. 107–114 (2003)
Chen, L., Fujishiro, I., Nakajima, K.: Parallel performance optimization of large-scale unstructured data visualization for the earth simulator. In: Proceedings of the Fourth Eurographics Workshop on Parallel Graphics and Visualization, pp. 133–140 (2002)
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Wangc, K., Zheng, Y. (2007). A Scalable Parallel Software Volume Rendering Algorithm for Large-Scale Unstructured Data. In: Shi, Y., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2007. ICCS 2007. Lecture Notes in Computer Science, vol 4487. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72584-8_64
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DOI: https://doi.org/10.1007/978-3-540-72584-8_64
Publisher Name: Springer, Berlin, Heidelberg
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