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A Sort-last Parallel Volume Rendering Based on Commodity PC Clusters

In: Current Trends in High Performance Computing and Its Applications

Author

Listed:
  • Jiawan Zhang

    (School of Electronic and Information Engineering, IBM Computer Technology Center, Department of Computer Science)

  • Zhou Jin

    (School of Electronic and Information Engineering, IBM Computer Technology Center, Department of Computer Science)

  • Jizhou Sun

    (School of Electronic and Information Engineering, IBM Computer Technology Center, Department of Computer Science)

  • Jiening Wang

    (Civil Aviation University of China, Dongli District)

  • Yi Zhang

    (School of Electronic and Information Engineering, IBM Computer Technology Center, Department of Computer Science)

  • Qianqian Han

    (School of Electronic and Information Engineering, IBM Computer Technology Center, Department of Computer Science)

Abstract

A sort-last parallel volume Splatting algorithm based on commodity PC clusters, which integrates hybrid data-space and image-space partitioning schemes, is proposed in this paper. Under the sort-last strategy, sorting is deferred until the end of the rendering pipeline. The approach also adopts a divide-and-conquer strategy and an object-order data decomposition scheme to distribute the volume among nodes in the PC clusters. The proposed method has excellent features including high scalability, predictable communication patterns and load balance in the rendering of large scale volume data sets on commercial PC clusters which have no high-end graphics adaptors equipped.

Suggested Citation

  • Jiawan Zhang & Zhou Jin & Jizhou Sun & Jiening Wang & Yi Zhang & Qianqian Han, 2005. "A Sort-last Parallel Volume Rendering Based on Commodity PC Clusters," Springer Books, in: Wu Zhang & Weiqin Tong & Zhangxin Chen & Roland Glowinski (ed.), Current Trends in High Performance Computing and Its Applications, pages 593-597, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-27912-9_83
    DOI: 10.1007/3-540-27912-1_83
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