Gyrokinetic particle simulation model
Journal of Computational Physics
High performance visualization of time-varying volume data over a wide-area network status
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Visualizing DIII-D Tokamak magnetic field lines
Proceedings of the conference on Visualization '00
A hardware-assisted hybrid rendering technique for interactive volume visualization
VVS '02 Proceedings of the 2002 IEEE symposium on Volume visualization and graphics
Texture hardware assisted rendering of time-varying volume data
Proceedings of the conference on Visualization '01
Fast Display of Illuminated Field Lines
IEEE Transactions on Visualization and Computer Graphics
Advanced visualization technology for terascale particle accelerator simulations
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Grid -Based Parallel Data Streaming implemented for the Gyrokinetic Toroidal Code
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Compression Domain Volume Rendering
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
High Dimensional Direct Rendering of Time-Varying Volumetric Data
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Exploiting Latent I/O Asynchrony in Petascale Science Applications
International Journal of High Performance Computing Applications
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The continuing advancement of plasma science is central to realizing fusion as an inexpensive and safe energy source. Gryokinetic simulations of plasmas are fundamental to the understanding of turbulent transport in fusion plasma. This paper discusses the visualization challenges presented by gyrokinetic simulations using magnetic field line following coordinates, and presents an effective solution exploiting programmable graphics hardware to enable interactive volume visualization of 3D plasma flow on a toroidal coordinate system. The new visualization capability can help scientists better understand three-dimensional structures of the modeled phenomena. Both the limitations and future promise of the hardware-accelerated approach are also discussed.