activity
20242026
most citedToward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference

5 citations · 15 across the 6 of their papers we have counts for

collaborators

7 papers

cs.DC2026

FissionReady: Joint Workload and Power Scheduling for Data Centers Powered by Small Modular Reactors

Raghavendra Kanakagiri, Rohan Basu Roy, Yankai Jiang +2

Data centers are increasingly exploring small modular nuclear reactors (SMRs) as a carbon-free power source, but variable datacenter demand and negative grid prices require the SMR…

cs.DC2025★ 4 cited

ThirstyFLOPS: Water Footprint Modeling and Analysis Toward Sustainable HPC Systems

Yankai Jiang, Raghavendra Kanakagiri, Rohan Basu Roy +1

High-performance computing (HPC) systems are becoming increasingly water-intensive due to their reliance on water-based cooling and the energy used in power generation. However, th…

cs.ET2025★ 3 cited

ForgetMeNot: Understanding and Modeling the Impact of Forever Chemicals Toward Sustainable Large-Scale Computing

Rohan Basu Roy, Raghavendra Kanakagiri, Yankai Jiang +1

Fluorinated compounds, often referred to as forever chemicals, are critical in various steps of semiconductor fabrication like lithography, etching, chamber cleaning, and others. F…

cs.DC2025

WaterWise: Co-optimizing Carbon- and Water-Footprint Toward Environmentally Sustainable Cloud Computing

Yankai Jiang, Rohan Basu Roy, Raghavendra Kanakagiri +1

The carbon and water footprint of large-scale computing systems poses serious environmental sustainability risks. In this study, we discover that, unfortunately, carbon and water s…

cs.DC2024

EcoLife: Carbon-Aware Serverless Function Scheduling for Sustainable Computing

Yankai Jiang, Rohan Basu Roy, Baolin Li +1

This work introduces ECOLIFE, the first carbon-aware serverless function scheduler to co-optimize carbon footprint and performance. ECOLIFE builds on the key insight of intelligent…

cs.DC2024★ 3 cited

LLM Inference Serving: Survey of Recent Advances and Opportunities

Baolin Li, Yankai Jiang, Vijay Gadepally +1

This survey offers a comprehensive overview of recent advancements in Large Language Model (LLM) serving systems, focusing on research since the year 2023. We specifically examine…

cs.DC2024★ 5 cited

Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference

Baolin Li, Yankai Jiang, Vijay Gadepally +1

The rapid advancement of Generative Artificial Intelligence (GenAI) across diverse sectors raises significant environmental concerns, notably the carbon emissions from their cloud…