activity
20142026
most citedThe Outer Rim Simulation: A Path to Many-Core Supercomputers

104 citations · 187 across the 11 of their papers we have counts for

collaborators

13 papers

cs.GR2026

DiffusionShadow: Diffusion-based Shadow Caching for Neural Volume Rendering

Kai-Chen Tung, Qi Wu, David Bauer +3

Implicit neural representations (INRs) have gained momentum in scientific visualization due to their compactness and scalability to large datasets, making them well suited for inte…

cs.GR2026

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…

cs.RO2026

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…

cs.CV2026

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…

cs.DC2025

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…

cs.DC2025★ 1 cited

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…

physics.flu-dyn2025

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…

cs.DC2023★ 5 cited

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…

cs.DC2023

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,…

astro-ph.CO2021★ 14 cited

Farpoint: A High-Resolution Cosmology Simulation at the Gigaparsec Scale

Nicholas Frontiere, Katrin Heitmann, Esteban Rangel +7

In this paper we introduce the Farpoint simulation, the latest member of the Hardware/Hybrid Accelerated Cosmology Code (HACC) gravity-only simulation family. The domain covers a v…

astro-ph.CO2020★ 22 cited

The Last Journey. I. An Extreme-Scale Simulation on the Mira Supercomputer

Katrin Heitmann, Nicholas Frontiere, Esteban Rangel +10

The Last Journey is a large-volume, gravity-only, cosmological N-body simulation evolving more than 1.24 trillion particles in a periodic box with a side-length of 5.025Gpc. It was…

astro-ph.CO2019★ 104 cited

The Outer Rim Simulation: A Path to Many-Core Supercomputers

Katrin Heitmann, Hal Finkel, Adrian Pope +10

We describe the Outer Rim cosmological simulation, one of the largest high-resolution N-body simulations performed to date, aimed at promoting science to be carried out with large-…

astro-ph.CO2014★ 41 cited

The Q Continuum Simulation: Harnessing the Power of GPU Accelerated Supercomputers

Katrin Heitmann, Nicholas Frontiere, Chris Sewell +6

Modeling large-scale sky survey observations is a key driver for the continuing development of high resolution, large-volume, cosmological simulations. We report the first results…