papers
Publications (3)
cs.DC2026
PRISM: Evaluating POSIX Storage Systems for AI Research Workflows
Adithya Kumar, Aditya Basu, Jacob Kahn +3
The rapid advancement of AI research is driven by massive investments in GPU clusters, yet the critical role of storage systems in enabling efficient research workflows is often ov…
physics.app-ph2024
Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymers
Ji Wei Yoon, Adithya Kumar, Pawan Kumar +3
The combination of high-throughput experimentation techniques and machine learning (ML) has recently ushered in a new era of accelerated material discovery, enabling the identifica…
cs.DC2025
Revisiting Reliability in Large-Scale Machine Learning Research Clusters
Apostolos Kokolis, Michael Kuchnik, John Hoffman +7
Reliability is a fundamental challenge in operating large-scale machine learning (ML) infrastructures, particularly as the scale of ML models and training clusters continues to gro…