Adaptive Software Rasterization with CUDA
Adaptive Rasterization for Microdisplaced Surfaces
Visual and accelerated computing
Adaptive Rasterization for Microdisplaced Surfaces
Image-based visualization of large, arbitrarily structured volumetric data.
Interactive visual analysis of big scientific data by learning compact statistical models.
Extracting topological features in uncertain flows, modeled by stochastic differential equations.
Visualization of large SPH data using a stochastic approach to volume rendering.
Data reduction and effective visualization using a novel GPU accelerated stratified sampling strategy.
Understanding fluid flows with a visual analysis approach and by extracting topological features.
Efficient computation of the FTLE, a topological fluid flow feature, based on GPU acceleration.