Bernhard Kerbl, Linus Horvath, Daniel Cornel, Michael Wimmer
An Improved Triangle Encoding Scheme for Cached Tessellation
In Eurographics 2022 - Short Papers, pages 1-4. April 2022.
[paper]

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Abstract

With the recent advances in real-time rendering that were achieved by embracing software rasterization, the interest in alternative solutions for other fixed-function pipeline stages rises. In this paper, we revisit a recently presented software approach for cached tessellation, which compactly encodes and stores triangles in GPU memory. While the proposed technique is both efficient and versatile, we show that the original encoding is suboptimal and provide an alternative scheme that acts as a drop-in replacement. As shown in our evaluation, the proposed modifications can yield performance gains of 40\% and more.

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BibTeX

@inproceedings{kerbl-2022-trienc,
  title =      "An Improved Triangle Encoding Scheme for Cached Tessellation",
  author =     "Bernhard Kerbl and Linus Horvath and Daniel Cornel and
               Michael Wimmer",
  year =       "2022",
  abstract =   "With the recent advances in real-time rendering that were
               achieved by embracing software rasterization, the interest
               in alternative solutions for other fixed-function pipeline
               stages rises. In this paper, we revisit a recently presented
               software approach for cached tessellation, which compactly
               encodes and stores triangles in GPU memory. While the
               proposed technique is both efficient and versatile, we show
               that the original encoding is suboptimal and provide an
               alternative scheme that acts as a drop-in replacement. As
               shown in our evaluation, the proposed modifications can
               yield performance gains of 40\% and more.",
  month =      apr,
  booktitle =  "Eurographics 2022 - Short Papers",
  event =      "Eurographics 2022",
  location =   "Reims",
  pages =      "1--4",
  keywords =   "gpu, real-time, tessellation",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/",
}