3 papers
cs.PF2026
Revisiting Disaggregated Large Language Model Serving for Performance and Energy Implications
Jiaxi Li, Yue Zhu, Eun Kyung Lee +1
Different from traditional Large Language Model (LLM) serving that colocates the prefill and decode stages on the same GPU, disaggregated serving dedicates distinct GPUs to prefill…
cs.LG2025
Evaluating Spatio-Temporal Forecasting Trade-offs Between Graph Neural Networks and Foundation Models
Ragini Gupta, Naman Raina, Bo Chen +5
Modern IoT deployments for environmental sensing produce high volume spatiotemporal data to support downstream tasks such as forecasting, typically powered by machine learning mode…
cs.CV2025
EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices
Benjamin Civjan, Bo Chen, Ruixiao Zhang +1
Video processing for real-time analytics in resource-constrained environments presents a significant challenge in balancing energy consumption and video semantics. This paper addre…