2025 · 2025 IEEE International Conference on Collaborative Advances in Software and COmputiNg (CASCON)
Tong Zhang, Leila Tahmooresnejad, Naser Ezzati-Jivan
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
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2025 · ACM/SPEC International Conference on Performance Engineering (ICPE)
Tom Wallace, Beatrice M. Ombuki-Berman, Naser Ezzati-Jivan
The paper compares compression and optimization strategies for reducing the resource cost of Transformer and large-language-model workloads while retaining useful accuracy.
Keywords: transformers · quantization · knowledge distillation · pruning · 4-bit quantization
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2024 · 2024 IEEE International Conference on Big Data (BigData)
Tong Zhang, Sarwat Islam Dipanzan, Leila Tahmooresnejad, Naser Ezzati-Jivan
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
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