231 citations · 400 across the 14 of their papers we have counts for
14 papers
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network
Tianyu Xiong, Skylar W. Wurster, Hanqi Guo +2
Feature grid Scene Representation Networks (SRNs) have been applied to scientific data as compact functional surrogates for analysis and visualization. As SRNs are black-box lossy…
Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization
Skylar Wolfgang Wurster, Tianyu Xiong, Han-Wei Shen +2
Scene representation networks (SRNs) have been recently proposed for compression and visualization of scientific data. However, state-of-the-art SRNs do not adapt the allocation of…
Neural Stream Functions
Skylar Wolfgang Wurster, Hanqi Guo, Tom Peterka +1
We present a neural network approach to compute stream functions, which are scalar functions with gradients orthogonal to a given vector field. As a result, isosurfaces of the stre…
MFA-DVR: Direct Volume Rendering of MFA Models
Jianxin Sun, David Lenz, Hongfeng Yu +1
3D volume rendering is widely used to reveal insightful intrinsic patterns of volumetric datasets across many domains. However, the complex structures and varying scales of volumet…
Reinforcement Learning for Load-balanced Parallel Particle Tracing
Jiayi Xu, Hanqi Guo, Han-Wei Shen +3
We explore an online reinforcement learning (RL) paradigm to dynamically optimize parallel particle tracing performance in distributed-memory systems. Our method combines three nov…
Exact Analytical Parallel Vectors
Hanqi Guo, Tom Peterka
This paper demonstrates that parallel vector curves are piecewise cubic rational curves in 3D piecewise linear vector fields. Parallel vector curves -- loci of points where two vec…
Workflows Community Summit: Bringing the Scientific Workflows Community Together
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard +42
Scientific workflows have been used almost universally across scientific domains, and have underpinned some of the most significant discoveries of the past several decades. Many of…
Fourier-Informed Knot Placement Schemes for B-Spline Approximation
David Lenz, Oana Marin, Vijay Mahadevan +2
Fitting B-splines to discrete data is especially challenging when the given data contain noise, jumps, or corners. Here, we describe how periodic data sets with these features can…
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking
Hanqi Guo, David Lenz, Jiayi Xu +7
We present the Feature Tracking Kit (FTK), a framework that simplifies, scales, and delivers various feature-tracking algorithms for scientific data. The key of FTK is our high-dim…
Asynchronous and Load-Balanced Union-Find for Distributed and Parallel Scientific Data Visualization and Analysis
Jiayi Xu, Hanqi Guo, Han-Wei Shen +5
We present a novel distributed union-find algorithm that features asynchronous parallelism and k-d tree based load balancing for scalable visualization and analysis of scientific d…
InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations
Wenbin He, Junpeng Wang, Hanqi Guo +5
We propose InSituNet, a deep learning based surrogate model to support parameter space exploration for ensemble simulations that are visualized in situ. In situ visualization, gene…
Detecting vortices in superconductors: Extracting one-dimensional topological singularities from a discretized complex scalar field
C. L. Phillips, T. Peterka, D. Karpeyev +1
In type-II superconductors, the dynamics of superconducting vortices determine their transport properties. In the Ginzburg-Landau theory, vortices correspond to topological defects…
HACC: Simulating Sky Surveys on State-of-the-Art Supercomputing Architectures
Salman Habib, Adrian Pope, Hal Finkel +11
Current and future surveys of large-scale cosmic structure are associated with a massive and complex datastream to study, characterize, and ultimately understand the physics behind…
The Universe at Extreme Scale: Multi-Petaflop Sky Simulation on the BG/Q
Salman Habib, Vitali Morozov, Hal Finkel +9
Remarkable observational advances have established a compelling cross-validated model of the Universe. Yet, two key pillars of this model -- dark matter and dark energy -- remain m…