4 citations · 5 across the 12 of their papers we have counts for
4 papers · 1 filter
Application Failures and Machine Computational Efficiency
Carlo Graziani, Bethany Lusch, O. E. Bronson Messer
We present a framework for evaluating uptime efficiency of Exascale-class scientific computers when application failure rates are appreciable. This is the situation that confronts…
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…
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…
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling
Shivam Barwey, Riccardo Balin, Bethany Lusch +5
This work develops a distributed graph neural network (GNN) methodology for mesh-based modeling applications using a consistent neural message passing layer. As the name implies, t…