9 citations · 25 across the 5 of their papers we have counts for
5 papers · 1 filter
GPU-based Data-parallel Rendering of Large, Unstructured, and Non-convexly Partitioned Data
Alper Sahistan, Serkan Demirci, Ingo Wald +4
Computational fluid dynamic simulations often produce large clusters of finite elements with non-trivial, non-convex boundaries and uneven distributions among compute nodes, posing…
Point Containment Queries on Ray Tracing Cores for AMR Flow Visualization
Stefan Zellmann, Daniel Seifried, Nate Morrical +5
Modern GPUs come with dedicated hardware to perform ray/triangle intersections and bounding volume hierarchy (BVH) traversal. While the primary use case for this hardware is photor…
Ray Tracing Structured AMR Data Using ExaBricks
Ingo Wald, Stefan Zellmann, Will Usher +3
Structured Adaptive Mesh Refinement (Structured AMR) enables simulations to adapt the domain resolution to save computation and storage, and has become one of the dominant data rep…
Improving the Usability of Virtual Reality Neuron Tracing with Topological Elements
Torin McDonald, Will Usher, Nate Morrical +5
Researchers in the field of connectomics are working to reconstruct a map of neural connections in the brain in order to understand at a fundamental level how the brain processes i…
Efficient Space Skipping and Adaptive Sampling of Unstructured Volumes Using Hardware Accelerated Ray Tracing
Nathan Morrical, Will Usher, Ingo Wald +1
Sample based ray marching is an effective method for direct volume rendering of unstructured meshes. However, sampling such meshes remains expensive, and strategies to reduce the n…