activity
20232026
most citedSustainable Supercomputing for AI: GPU Power Capping at HPC Scale

32 citations · 62 across the 11 of their papers we have counts for

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8 papers · 1 filter

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.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

HotSwap: Enabling Live Dependency Sharing in Serverless Computing

Rui Li, Devesh Tiwari, Gene Cooperman

This work presents HotSwap, a novel provider-side cold-start optimization for serverless computing. This optimization reduces cold-start time when booting and loading dependencies…

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…

cs.DC2024

Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations

Francieli Boito, Jim Brandt, Valeria Cardellini +24

Many High Performance Computing (HPC) facilities have developed and deployed frameworks in support of continuous monitoring and operational data analytics (MODA) to help improve ef…