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2017 GTC San Jose

S7314 - Fast Flow-Based Distance Quantification and Interpolation for High-Resolution Density Distributions

Session Speakers
Session Description

We'll discuss our GPU-targeted algorithm design for the efficient computation of distances and interpolates between high-resolution density distributions (based on the Earth Mover's Distance / the Wasserstein metric). We particularly focus on the changes - and their rationale - to transition from our previous multicore approach to a manycore design (utilizing NVIDIA?CUDA? CUB, and Thrust) that yields a massive improvement in performance. Expressive distances and interpolates are a crucial building block for numerous applications in computer vision, computer graphics, and visualization, and we'll give examples from different areas to demonstrate both utility and performance of our improved approach.


Additional Session Information
Intermediate
Talk
In-Situ and Scientific Visualization Rendering and Ray Tracing
25 minutes
Session Schedule