LDAV

Keyphrases

Publications

2023

Tom Peterka, David Lenz, Iulian R. Grindeanu, Vijay S. Mahadevan
Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data. LDAV (2023)
13th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2023, Melbourne, Australia, October 23, 2023 LDAV (2023)
Peer-Timo Bremer, Kristi Potter, Steffen Frey, Silvio Rizzi, Gunther H. Weber, Soumya Dutta, Jonas Lukasczyk, Nicole Marsiglia
Preface IEEE LDAV 2023. LDAV (2023)
Will Usher, Landon Dyken, Sidharth Kumar
Speculative Progressive Raycasting for Memory Constrained Isosurface Visualization of Massive Volumes. LDAV (2023)
Ayman Z. Yousef, Erik W. Draeger, Amanda Randles
Low-Cost Post Hoc Reconstruction of HPC Simulations at Full Resolution. LDAV (2023)
Ayan Biswas, Arindam Bhattacharya, Yi-Tang Chen, Han-Wei Shen
Sub-Linear Time Sampling Approach for Large-Scale Data Visualization Using Reinforcement Learning. LDAV (2023)
Manish Mathai, Matthew Larsen, Hank Childs
A Distributed-Memory Parallel Approach for Volume Rendering with Shadows. LDAV (2023)

2022

2021

2020

2019