Advanced visualization technology for terascale particle accelerator simulations

Kwan Liu Ma, Greg Schussman, Brett Wilson, Kwok Ko, Ji Qiang, Robert Ryne

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

15 Scopus citations


This paper presents two new hardware-assisted rendering techniques developed for interactive visualization of the terascale data generated from numerical modeling of next-generation accelerator designs. The first technique, based on a hybrid rendering approach, makes possible interactive exploration of large-scale particle data from particle beam dynamics modeling. The second technique, based on a compact texture-enhanced representation, exploits the advanced features of commodity graphics cards to achieve perceptually effective visualization of the very dense and complex electromagnetic fields produced from the modeling of reflection and transmission properties of open structures in an accelerator design. Because of the collaborative nature of the overall accelerator modeling project, the visualization technology developed is for both desktop and remote visualization settings. We have tested the techniques using both time-varying particle data sets containing up to one billion particles per time step and electromagnetic field data sets with millions of mesh elements.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE/ACM SC 2002 Conference, SC 2002
PublisherAssociation for Computing Machinery
ISBN (Electronic)076951524X
StatePublished - 2002
Event2002 IEEE/ACM Conference on Supercomputing, SC 2002 - Baltimore, United States
Duration: Nov 16 2002Nov 22 2002

Publication series

NameProceedings of the International Conference on Supercomputing


Conference2002 IEEE/ACM Conference on Supercomputing, SC 2002
Country/TerritoryUnited States


  • Field lines
  • Hardware-assisted techniques
  • High-performance computing
  • Particle accelerators
  • Perception
  • Point-based rendering
  • Scientific visualization
  • Texture mapping
  • Time-varying data
  • Vector field visualization
  • Visual cues
  • Volume rendering

ASJC Scopus subject areas

  • Computer Science(all)


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