9 citations · 9 across the 3 of their papers we have counts for
4 papers
EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting
Leyi Yan, Linda Wang, Sihang Liu +1
Carbon intensity (CI) measures the average carbon emissions generated per unit of electricity, making it a crucial metric for quantifying and managing the environmental impact. Acc…
Cache Your Prompt When It's Green: Carbon-Aware Caching for Large Language Model Serving
Yuyang Tian, Desen Sun, Yi Ding +1
As large language models (LLMs) become widely used, their environmental impact, especially carbon emission, has attracted more attention. Prior studies focus on compute-related car…
Towards Sustainable Large Language Model Serving
Sophia Nguyen, Beihao Zhou, Yi Ding +1
In this work, we study LLMs from a carbon emission perspective, addressing both operational and embodied emissions, and paving the way for sustainable LLM serving. We characterize…
Uncertainty-Aware Decarbonization for Datacenters
Amy Li, Sihang Liu, Yi Ding
This paper represents the first effort to quantify uncertainty in carbon intensity forecasting for datacenter decarbonization. We identify and analyze two types of uncertainty -- t…