About Me

I received my Ph.D. in Computer Engineering at Northeastern University, working under the guidance of Professor Devesh Tiwari. My research focuses on optimizing High Performance Computing (HPC) and Cloud Computing systems for Machine Learning (ML) applications. My research tackles various challenges in cost-effectiveness, resource sharing, and sustainability of HPC/cloud systems for machine learning.

Interests
  • HPC
  • Cloud Computing
  • ML Systems
Education

  • Ph.D. in Computer Engineering

    Northeastern University

  • M.S. in ECE

    University of Texas at Austin

  • B.Eng. (honours) in EEE

    The University of Manchester

Recent News

[2024/06] Selected as MLCommons ML and Systems Rising Star!

[2024/04] Received Outstanding Ph.D. Research Award from Northeastern University College of Engineering!

[2024/04] Received Lux. Veritas. Virtus. Exceptional Graduate Student Award from Northeastern University!

[2023/11] Presented Clover and Sustainable HPC at SC'23!

[2023/06] Kairos won the Best Paper Award at HPDC'23!

Selected Publications
Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari (2024). Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference. In EMNLP ‘24.
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Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari (2024). Interpretable Analysis of Production GPU Clusters Monitoring Data via Association Rule Mining. In IPDPS ‘24.
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Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari (2023). Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service. In SC ‘23.
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Baolin Li, Rohan Basu Roy, Daniel Wang, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari (2023). Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems. In SC ‘23.
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Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally (2023). Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. In SoCC ‘23.
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