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20172025
most citedScheduling Beyond CPUs for HPC

37 citations · 117 across the 24 of their papers we have counts for

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11 papers · 1 filter

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.DC20251 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…

cs.DC2025

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…

cs.DC2025

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…

cs.DC2025

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…

cs.DC2021

Hybrid Workload Scheduling on HPC Systems

Yuping Fan, Paul Rich, William Allcock +2

Traditionally, on-demand, rigid, and malleable applications have been scheduled and executed on separate systems. The ever-growing workload demands and rapidly developing HPC infra…