5 citations · 6 across the 9 of their papers we have counts for
10 papers
3D Field Data Reduction with Adaptive Sample-Based Gaussian-Encoded Reconstruction
Michael R. Martin, Joseph Insley, Victor A. Mateevitsi +2
In scientific simulation, regular grids, unstructured meshes, and particle-based formats are chosen to represent field data for computational efficiency, geometry/adaptive flexibil…
Cross-Platform Benchmark of Neural 3D Reconstruction for Autonomous Laboratory Robots
Yongho Kim, Mengjiao Han, Victor Mateevitsi +3
Autonomous robots performing laboratory tasks depend on 3D reconstruction pipelines that can turn raw camera streams into actionable object representations within the latency budge…
Fixed-Budget Gaussian Volume Encoding with Structure-Aware Allocation
Michael R. Martin, Joseph Insley, Victor A. Mateevitsi +2
Scientific simulations often produce scalar volumes faster than they can be stored, transferred, and loaded, while in situ reduction must use only a limited share of simulation res…
Distributed 3D Gaussian Splatting for High-Resolution Isosurface Visualization
Mengjiao Han, Andres Sewell, Joseph Insley +5
3D Gaussian Splatting (3D-GS) has recently emerged as a powerful technique for real-time, photorealistic rendering by optimizing anisotropic Gaussian primitives from view-dependent…
Toward Distributed 3D Gaussian Splatting for High-Resolution Isosurface Visualization
Mengjiao Han, Andres Sewell, Joseph Insley +5
We present a multi-GPU extension of the 3D Gaussian Splatting (3D-GS) pipeline for scientific visualization. Building on previous work that demonstrated high-fidelity isosurface re…
Aurora: Architecting Argonne's First Exascale Supercomputer for Accelerated Scientific Discovery
William E. Allcock, Benjamin S. Allen, James Anchell +106
Aurora is Argonne National Laboratory's pioneering Exascale supercomputer, designed to accelerate scientific discovery with cutting-edge architectural innovations. Key new technolo…
Deciphering boundary layer dynamics in high-Rayleigh-number convection using 3360 GPUs and a high-scaling in-situ workflow
Mathis Bode, Damian Alvarez, Paul Fischer +10
Turbulent heat and momentum transfer processes due to thermal convection cover many scales and are of great importance for several natural and technical flows. One consequence is t…
VisAnywhere: Developing Multi-platform Scientific Visualization Applications
Thomas Marrinan, Madeleine Moeller, Alina Kanayinkal +2
Scientists often explore and analyze large-scale scientific simulation data by leveraging two- and three-dimensional visualizations. The data and tasks can be complex and therefore…
Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI
Victor A. Mateevitsi, Mathis Bode, Nicola Ferrier +9
In the realm of Computational Fluid Dynamics (CFD), the demand for memory and computation resources is extreme, necessitating the use of leadership-scale computing platforms for pr…
Distributed Neural Representation for Reactive in situ Visualization
Qi Wu, Joseph A. Insley, Victor A. Mateevitsi +3
Implicit neural representations (INRs) have emerged as a powerful tool for compressing large-scale volume data. This opens up new possibilities for in situ visualization. However,…