SLIC: Scheduled linear image compositing for parallel volume rendering

A. Stompel, Kwan-Liu Ma, E. B. Lum, J. Ahrens, J. Patchett

Research output: Chapter in Book/Report/Conference proceedingConference contribution

46 Scopus citations

Abstract

Parallel volume rendering offers a feasible solution to the large data visualization problem by distributing both the data and rendering calculations among multiple computers connected by a network. In sort-last parallel volume rendering, each processor generates an image of its assigned subvolume, which is blended together with other images to derive the final image. Improving the efficiency of this compositing step, which requires interprocesssor communication, is the key to scalable, interactive rendering. The recent trend of using hardware-accelerated volume rendering demands further acceleration of the image compositing step. We present a new optimized parallel image compositing algorithm and its performance on a PC cluster. Our test results show that this new algorithm offers significant savings over previous algorithms in both communication and compositing costs. On a 64-node PC cluster with a 100BaseT network interconnect, we can achieve interactive rendering rates for images at resolutions up to 1024x1024 pixels at several frames per second.

Original languageEnglish (US)
Title of host publicationPVG 2003, Proceedings - IEEE Symposium on Parallel and Large-Data Visualization and Graphics 2003
EditorsClaudio T. Silva, Raghu Machiraju, Anton Koning
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages33-40
Number of pages8
ISBN (Electronic)078038122X, 9780780381223
DOIs
Publication statusPublished - Jan 1 2003
EventIEEE Symposium on Parallel and Large-Data Visualization and Graphics 2003, PVG 2003 - Seattle, United States
Duration: Oct 20 2003Oct 21 2003

Other

OtherIEEE Symposium on Parallel and Large-Data Visualization and Graphics 2003, PVG 2003
CountryUnited States
CitySeattle
Period10/20/0310/21/03

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Keywords

  • Algorithm design and analysis
  • Clustering algorithms
  • Computer graphics
  • Concurrent computing
  • Hardware
  • High performance computing
  • Partitioning algorithms
  • Pixel
  • Rendering (computer graphics)
  • Software algorithms

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

Cite this

Stompel, A., Ma, K-L., Lum, E. B., Ahrens, J., & Patchett, J. (2003). SLIC: Scheduled linear image compositing for parallel volume rendering. In C. T. Silva, R. Machiraju, & A. Koning (Eds.), PVG 2003, Proceedings - IEEE Symposium on Parallel and Large-Data Visualization and Graphics 2003 (pp. 33-40). [1249040] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PVGS.2003.1249040