Baolin Li

37 papers A* 2A 9Journal 14Unranked 12
YearRankTypeTitle / Venue / Authors
2025 A conf
GreenMix: Energy-Efficient Serverless Computing via Randomized Sketching on Asymmetric Multi-Cores.
SC
Rohan Basu Roy, Tirthak Patel, Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2024 A conf
EcoLife: Carbon-Aware Serverless Function Scheduling for Sustainable Computing.
SC
Yankai Jiang, Rohan Basu Roy, Baolin Li, Devesh Tiwari
2024 J jnl
EcoLife: Carbon-Aware Serverless Function Scheduling for Sustainable Computing.
CoRR
Yankai Jiang, Rohan Basu Roy, Baolin Li, Devesh Tiwari
2024 A conf
Interpretable Analysis of Production GPU Clusters Monitoring Data via Association Rule Mining.
IPDPS
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2024 — conf
LLM Inference Serving: Survey of Recent Advances and Opportunities.
HPEC
Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari
2024 J jnl
LLM Inference Serving: Survey of Recent Advances and Opportunities.
CoRR
Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari
2024 A* conf
Sprout: Green Generative AI with Carbon-Efficient LLM Inference.
EMNLP
Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari
2024 J jnl
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale.
CoRR
Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally
2024 J jnl
Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference.
CoRR
Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari
2023 A conf
Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service.
SC
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2023 — conf
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference.
HPEC
Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally
2023 J jnl
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference.
CoRR
Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally
2023 J jnl
Green Carbon Footprint for Model Inference Serving via Exploiting Mixed-Quality Models and GPU Partitioning.
CoRR
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2023 A conf
Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources.
HPDC
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2023 J jnl
Sustainable HPC: Modeling, Characterization, and Implications of Carbon Footprint in Modern HPC Systems.
CoRR
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2023 — conf
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale.
SoCC
Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally
2023 A conf
Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems.
SC
Baolin Li, Rohan Basu Roy, Daniel Wang, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2022 A* conf
AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications.
HPCA
Baolin Li, Rohin Arora, Siddharth Samsi, Tirthak Patel, William Arcand, David Bestor, Chansup Byun, Rohan Basu Roy, Bill Bergeron, John T. Holodnak, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Peter Michaleas, Joseph McDonald, Lauren Milechin, Julie Mullen, Andrew Prout, Benjamin Price, Albert Reuther, Antonio Rosa, Matthew L. Weiss, Charles Yee, Daniel Edelman, Allan Vanterpool, Anson Cheng, Vijay Gadepally, Devesh Tiwari
2022 — conf
Benchmarking Resource Usage for Efficient Distributed Deep Learning.
HPEC
Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
2022 J jnl
Benchmarking Resource Usage for Efficient Distributed Deep Learning.
CoRR
Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
2022 J jnl
Building Heterogeneous Cloud System for Machine Learning Inference.
CoRR
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2022 — conf
Characterizing Multi-Instance GPU for Machine Learning Workloads.
IPDPS Workshops
Baolin Li, Vijay Gadepally, Siddharth Samsi, Devesh Tiwari
2022 — conf
DASH: Scheduling Deep Learning Workloads on Multi-Generational GPU-Accelerated Clusters.
HPEC
Baolin Li, Tirthak Patel, Vijay Gadepally, Karen Gettings, Siddharth Samsi, Devesh Tiwari
2022 A conf
Do Temperature and Humidity Exposures Hurt or Benefit Your SSDs?
DATE
Adnan Maruf, Sashri Brahmakshatriya, Baolin Li, Devesh Tiwari, Gang Quan, Janki Bhimani
2022 — conf
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models.
NAACL-HLT (Findings)
Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
2022 J jnl
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models.
CoRR
Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
2022 — conf
MISO: exploiting multi-instance GPU capability on multi-tenant GPU clusters.
SoCC
Baolin Li, Tirthak Patel, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2022 J jnl
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances.
CoRR
Baolin Li, Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Karen Gettings, Devesh Tiwari
2022 — conf
The MIT Supercloud Workload Classification Challenge.
IPDPS Workshops
Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan C. Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, William Bergeron, Chansup Byun, Daniel Edelman, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Andrew Bowne, Lindsey McEvoy, Baolin Li, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
2022 J jnl
The MIT Supercloud Workload Classification Challenge.
CoRR
Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan C. Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, Chansup Byun, Daniel Edelman, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Andrew Bowne, Lindsey McEvoy, Baolin Li, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
2022 J jnl
Using Multi-Instance GPU for Efficient Operation of Multi-Tenant GPU Clusters.
CoRR
Baolin Li, Tirthak Patel, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
2021 A conf
RIBBON: cost-effective and qos-aware deep learning model inference using a diverse pool of cloud computing instances.
SC
Baolin Li, Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Karen Gettings, Devesh Tiwari
2021 — conf
Serving Machine Learning Inference Using Heterogeneous Hardware.
HPEC
Baolin Li, Vijay Gadepally, Siddharth Samsi, Mark S. Veillette, Devesh Tiwari
2021 — conf
The MIT Supercloud Dataset.
HPEC
Siddharth Samsi, Matthew L. Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally
2021 J jnl
The MIT Supercloud Dataset.
CoRR
Siddharth Samsi, Matthew L. Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally
2020 A conf
Experimental evaluation of NISQ quantum computers: error measurement, characterization, and implications.
SC
Tirthak Patel, Abhay Potharaju, Baolin Li, Rohan Basu Roy, Devesh Tiwari
2020 — conf
UREQA: Leveraging Operation-Aware Error Rates for Effective Quantum Circuit Mapping on NISQ-Era Quantum Computers.
USENIX ATC
Tirthak Patel, Baolin Li, Rohan Basu Roy, Devesh Tiwari