Research topic
This topic page groups Naser Ezzati-Jivan research papers related to performance modeling. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.
Related search terms: performance modeling
3 papers in this topic, ordered newest first. The detailed paper records contain the evidence-grounded methods, tools, datasets, findings, and citation guidance.
2025 · 2025 IEEE International Conference on Collaborative Advances in Software and COmputiNg (CASCON)
The paper models LLM inference energy separately on CPU and GPU using hardware counters, device metrics, and task/model features, then compares classical and neural regressors across language tasks.
Keywords: LLM energy consumption · CPU energy · GPU energy · green AI · static metrics
2024 · 2024 IEEE International Conference on Big Data (BigData)
The paper evaluates whether software-energy predictors transfer across applications when they use hardware-performance and operating-system event representations rather than application-specific measurements alone.
Keywords: software energy consumption · predictive models · energy efficiency · software environments · IEEE Big Data 2024
2024 · The 37th Canadian Conference on Artificial Intelligence
The paper uses gradient boosting and feature importance to reduce the amount of trace data needed for microservice performance modeling.
Keywords: trace data volume · feature importance · CPU demand · memory demand · Alibaba microservices