8 papers · 1 filter
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…
Exploring Uncore Frequency Scaling for Heterogeneous Computing
Zhong Zheng, Seyfal Sultanov, Michael E. Papka +1
High-performance computing (HPC) systems are essential for scientific discovery and engineering innovation. However, their growing power demands pose significant challenges, partic…
An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems
Shilpika Shilpika, Bethany Lusch, Venkatram Vishwanath +1
With the growing complexity in architecture and the size of large-scale computing systems, monitoring and analyzing system behavior and events has become daunting. Monitoring data…
More for Less: Integrating Capability-Predominant and Capacity-Predominant Computing
Zhong Zheng, Michael E. Papka, Zhiling Lan
Capability jobs (e.g., large, long-running tasks) and capacity jobs (e.g., small, short-running tasks) are two common types of workloads in high-performance computing (HPC). Differ…
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,…