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IsoBAS: a binary accelerating structure for fast isosurface rendering on GPUs

  • Baoquan Liu
    ,
  • Gordon Clapworthy
    ,
  • Feng Dong
Research Output: Contribution to journal Article Peer-review

Open access

Abstract

Abstract This paper introduces a binary accelerating structure, IsoBAS, to support GPU-based full-resolution real-time isosurface rendering for large datasets with dynamically varying isovalues. By looking up this structure during the ray-tracing stage, the algorithm can rapidly locate active cells along rays. The experimental results demonstrate that the proposed algorithm is much faster (up to 28 times) than current state-of-the-art algorithms. Furthermore, it has a much smaller memory footprint, now enabling GPUs to process large datasets on which previous GPU algorithms would fail due to a lack of available memory. To the authors' knowledge, this is the fastest dynamic isosurface rendering algorithm ever reported for operation on a single computer.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 60-70

Journal (Volume, Issue Number)

Computers and Graphics (Volume 48)

Publication milestones

  • Accepted/In press - 09/02/2015
  • Published - 26/02/2015

Publication status

Published - 26/02/2015

ISSN

0097-8493

External Publication IDs

  • handle.net: 10547/624539
  • Scopus: 84937758391