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cs.LG2026
Enabling Performant and Flexible Model-Internal Observability for LLM Inference
Nengneng Yu, Sixian Xiong, Yibo Zhao +2
Today's inference-time workloads increasingly depend on timely access to a model's internal states. We present DMI-Lib, a high-speed deep model inspector that treats internal obser…
cs.DC2026
Cloud Performance Decomposition for Long-Term Performance Engineering: A Case Study
Shimul Debnath, William Hart, Lori Pollock +2
Cloud performance fluctuates due to factors such as resource contention and workload changes. These factors can be short-term, seasonal, or long-term. Their effects are often inter…