74 citations · 75 across the 6 of their papers we have counts for
7 papers
Object Model Analysis of a Supercomputer with Digital Twin
Shilpika Shilpika, George K. Thiruvathukal, Venkatram Vishwanath +1
Operators and developers need a mental model of both the structure and the live behavior of a large supercomputer, but its physical layout, logical organization, and streams of per…
A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments
Shilpika Shilpika, Bethany Lusch, Eric Pershey +3
Modern supercomputers housed in High Performance Computing (HPC) environments generate massive volumes of log data daily, revealing intricate information and performance metrics ab…
Probabilistic Attribution For Large Language Models
Shilpika Shilpika, Carlo Graziani, Bethany Lusch +2
The generative nature of Large Language Models (LLMs) is reflected in the conditional probabilities they compute to sample each response token given the previous tokens. These prob…
Extracting Practical, Actionable Energy Insights from Supercomputer Telemetry and Logs
Melanie Cornelius, Greg Cross, Shilpika Shilpika +2
As supercomputers grow in size and complexity, power efficiency has become a critical challenge, particularly in understanding GPU power consumption within modern HPC workloads. Th…
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…
A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems
Shilpika, Bethany Lusch, Murali Emani +4
The ability to monitor and interpret of hardware system events and behaviors are crucial to improving the robustness and reliability of these systems, especially in a supercomputin…
An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data
Takanori Fujiwara, Jia-Kai Chou, Shilpika +3
Dimensionality reduction (DR) methods are commonly used for analyzing and visualizing multidimensional data. However, when data is a live streaming feed, conventional DR methods ca…