12 citations · 13 across the 5 of their papers we have counts for
6 papers
Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead
Zhe Wang, Kenneth Moreland, Matthew Larsen +3
Particle advection is one of the foundational algorithms for visualization and analysis and is central to understanding vector fields common to scientific simulations. Achieving ef…
A Guide to Particle Advection Performance
Abhishek Yenpure, Sudhanshu Sane, Roba Binyahib +3
The performance of particle advection-based flow visualization techniques is complex, since computational work can vary based on many factors, including number of particles, durati…
Scalable In Situ Lagrangian Flow Map Extraction: Demonstrating the Viability of a Communication-Free Model
Sudhanshu Sane, Abhishek Yenpure, Roxana Bujack +4
We introduce and evaluate a new algorithm for the in situ extraction of Lagrangian flow maps, which we call Boundary Termination Optimization (BTO). Our approach is a communication…
DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives
Brenton Lessley, Talita Perciano, Colleen Heinemann +3
We present a new parallel algorithm for probabilistic graphical model optimization. The algorithm relies on data-parallel primitives (DPPs), which provide portable performance over…
Data-Parallel Hashing Techniques for GPU Architectures
Brenton Lessley
Hash tables are one of the most fundamental data structures for effectively storing and accessing sparse data, with widespread usage in domains ranging from computer graphics to ma…
VisIt: Experiences with Sustainable Software
Sean Ahern, Eric Brugger, Brad Whitlock +4
The success of the VisIt visualization system has been wholly dependent upon the culture and practices of software development that have fostered its welcome by users and embrace b…