3 papers
cs.PF2025
Systematic Characterization of LLM Quantization: A Performance, Energy, and Quality Perspective
Tianyao Shi, Yi Ding
Large language models (LLMs) have demonstrated remarkable capabilities across diverse domains, but their heavy resource demands make quantization-reducing precision to lower-bit fo…
cs.CY2025
When Servers Meet Species: A Fab-to-Grave Lens on Computing's Biodiversity Impact
Tianyao Shi, Ritbik Kumar, Inez Hua +1
Biodiversity loss is a critical planetary boundary, yet its connection to computing remains largely unexamined. Prior sustainability efforts in computing have focused on carbon and…
cs.AR2024
GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions
Tianyao Shi, Yanran Wu, Sihang Liu +1
LLMs have been widely adopted across many real-world applications. However, their widespread use comes with significant environmental costs due to their high computational intensit…