In situ video encoding of floating-point volume data using special-purpose hardware for a posteriori rendering and analysis

Nick Leaf, Bob Miller, Kwan-Liu Ma

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

1 Scopus citations

Abstract

Scientific simulations typically store only a small fraction of computed timesteps due to storage and I/O bandwidth limitations. Previous work has demonstrated the compressibility of floating-point volume data, but such compression often comes with a tradeoff between computational complexity and the achievable compression ratio. This work demonstrates the use of special-purpose video encoding hardware on the GPU which is present but (to the best of our knowledge) completely unused in current GPU-equipped super computers such as Titan. We show that lossy encoding allows the output of far more data at sufficient quality for a posteriori rendering and analysis. We also show that the encoding can be computed in parallel to general-purpose computation due to the special-purpose hardware. Finally, we demonstrate such encoded volumes are inexpensive to decode in memory during analysis, making it unnecessary to ever store the decompressed volumes on disk.

Original languageEnglish (US)
Title of host publication2017 IEEE 7th Symposium on Large Data Analysis and Visualization, LDAV 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages64-73
Number of pages10
Volume2017-December
ISBN (Electronic)9781538606179
DOIs
StatePublished - Dec 19 2017
Event7th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2017 - Phoenix, United States
Duration: Oct 2 2017 → …

Other

Other7th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2017
CountryUnited States
CityPhoenix
Period10/2/17 → …

Keywords

  • Floating-point compression
  • GPU video encoding
  • Volume compression

ASJC Scopus subject areas

  • Hardware and Architecture
  • Information Systems
  • Media Technology
  • Library and Information Sciences

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    Leaf, N., Miller, B., & Ma, K-L. (2017). In situ video encoding of floating-point volume data using special-purpose hardware for a posteriori rendering and analysis. In 2017 IEEE 7th Symposium on Large Data Analysis and Visualization, LDAV 2017 (Vol. 2017-December, pp. 64-73). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LDAV.2017.8231852