21 citations · 53 across the 13 of their papers we have counts for
15 papers
Scalable Ray Tracing Using the Distributed FrameBuffer
Will Usher, Ingo Wald, Jefferson Amstutz +3
Image- and data-parallel rendering across multiple nodes on high-performance computing systems is widely used in visualization to provide higher frame rates, support large data set…
A Stack-Free Traversal Algorithm for Left-Balanced k-d Trees
Ingo Wald
We present an algorithm that allows for find-closest-point and kNN-style traversals of left-balanced k-d trees, without the need for either recursion or software-managed stacks; in…
Beyond ExaBricks: GPU Volume Path Tracing of AMR Data
Stefan Zellmann, Qi Wu, Alper Sahistan +2
Adaptive Mesh Refinement (AMR) is becoming a prevalent data representation for scientific visualization. Resulting from large fluid mechanics simulations, the data is usually cell…
GPU-friendly, Parallel, and (Almost-)In-Place Construction of Left-Balanced k-d Trees
Ingo Wald
We present an algorithm that allows for building left-balanced and complete k-d trees over k-dimensional points in a trivially parallel and GPU friendly way. Our algorithm requires…
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…
Data Parallel Path Tracing in Object Space
Ingo Wald, Steven G Parker
We investigate the concept of rendering production-style content with full path tracing in a data-distributed fashion -- that is, with multiple collaborating nodes and/or GPUs that…