5 papers
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…
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…
Kernel Model Validation: How To Do It, And Why You Should Care
Carlo Graziani, Marieme Ngom
Gaussian Process (GP) models are popular tools in uncertainty quantification (UQ) because they purport to furnish functional uncertainty estimates that can be used to represent mod…
OS-net: Orbitally Stable Neural Networks
Marieme Ngom, Carlo Graziani
We introduce OS-net (Orbitally Stable neural NETworks), a new family of neural network architectures specifically designed for periodic dynamical data. OS-net is a special case of…