3 papers
cs.DC2025
Magneton: Optimizing Energy Efficiency of ML Systems via Differential Energy Debugging
Yi Pan, Wenbo Qian, Dedong Xie +3
The training and deployment of machine learning (ML) models have become extremely energy-intensive. While existing optimization efforts focus primarily on hardware energy efficienc…
cs.PF2025
gigiProfiler: Diagnosing Performance Issues by Uncovering Application Resource Bottlenecks
Yigong Hu, Haodong Zheng, Yicheng Liu +3
Diagnosing performance bottlenecks in modern software is essential yet challenging, particularly as applications become more complex and rely on custom resource management policies…
cs.LG2025
Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models
Yile Gu, Yifan Xiong, Jonathan Mace +4
Observability in cloud infrastructure is critical for service providers, driving the widespread adoption of anomaly detection systems for monitoring metrics. However, existing syst…