TY - GEN
T1 - In-Core volume rendering for cartesian grid fluid dynamics simulations
AU - Wetherbee, Ted
AU - Jones, Elizabeth
AU - Knox, Michael
AU - Sandalski, Stou
AU - Woodward, Paul
PY - 2015/7/26
Y1 - 2015/7/26
N2 - The volume rendering code Srend is designed for visualization of computational fluid dynamics simulations which use Cartesian grids, and it is designed to be compiled within the application for in-core rendering. Srend was embedded in three codes: Piecewise Parabolic Method (PPMstar), Cloud Model 1 (CM1), and Weather Research Forecast model (WRF). Results show modest rendering overhead, fine quality imagery, and high potential for scaling. When embedded in a code, Srend produces immediate, quality imagery, and this capability can sharply reduce data output & storage requirements.
AB - The volume rendering code Srend is designed for visualization of computational fluid dynamics simulations which use Cartesian grids, and it is designed to be compiled within the application for in-core rendering. Srend was embedded in three codes: Piecewise Parabolic Method (PPMstar), Cloud Model 1 (CM1), and Weather Research Forecast model (WRF). Results show modest rendering overhead, fine quality imagery, and high potential for scaling. When embedded in a code, Srend produces immediate, quality imagery, and this capability can sharply reduce data output & storage requirements.
KW - Computational fluid dynamics
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=84942764163&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84942764163&partnerID=8YFLogxK
U2 - 10.1145/2792745.2792780
DO - 10.1145/2792745.2792780
M3 - Conference contribution
AN - SCOPUS:84942764163
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the XSEDE 2015 Conference
PB - Association for Computing Machinery
T2 - 4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015
Y2 - 26 July 2015 through 30 July 2015
ER -