Title
Advanced Visualization Technology for Terascale Particle Accelerator Simulations
Abstract
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.
Year
DOI
Venue
2002
10.1109/SC.2002.10007
SC
Keywords
Field
DocType
texture mapping,scientific visualization,high-performance computing,particle accelerators,volume rendering,terascale particle accelerator simulation,point-based rendering,perception,field lines,time-varying data,advanced visualization technology,vector field visualization,visual cues,hardware-assisted techniques,electromagnetic field,particle acceleration,high performance computing,interactive visualization
Graphics,Texture mapping,Volume rendering,Computer graphics (images),Particle accelerator,Visualization,Computer science,Parallel computing,Interactive visualization,Rendering (computer graphics),Scientific visualization
Conference
ISSN
ISBN
Citations 
1063-9535
0-7695-1524-X
16
PageRank 
References 
Authors
1.04
11
6
Name
Order
Citations
PageRank
Kwan-Liu Ma15145334.46
Greg Schussman2645.33
Brett Wilson315011.89
Kwok Ko4293.44
Ji Qiang57910.07
Robert Ryne6212.03