Jie Li

Postdoctoral Researcher

Lubbock, TX + Ithaca, NY

About

Jie Li is a Postdoctoral Researcher in Computer Science at Texas Tech University, where he is a member of the Data-Intensive Scalable Computing Laboratory (DISCL) under the guidance of Dr. Yong Chen . He obtained Ph.D. and M.S. degrees in Computer Science from Texas Tech University in 2024 and 2019, respectively. Prior to that, he earned a bachelor degree in architecture.

His research focuses on high-performance computing (HPC), parallel and distributed computing, and computer architecture. The goal of his research is to develop efficient and scalable computing systems that power AI, big data analytics, and scientific computing. His specific interests include resource management and scheduling in HPC systems, with a focus on disaggregated memory architectures, system-level performance monitoring, operational data analysis, machine learning-based system management, and hardware/software co-design for next-generation HPC platforms.

📢 I am actively seeking tenure-track Assistant Professor positions in Computer Science. If you are aware of any open positions or would like to connect, please feel free to reach out to me.

Selected Publications

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Job Scheduling in High Performance Computing Systems with Disaggregated Memory Resources
Jie Li, George Michelogiannakis, Samuel Maloney, Brandon Cook, Estela Suarez, John Shalf, Yong Chen

IEEE International Conference on Cluster Computing (CLUSTER'24)
Analyzing Resource Utilization in an HPC System: A Case Study of NERSC's Perlmutter
Jie Li, George Michelogiannakis, Brandon Cook, Dulanya Cooray, Yong Chen

International Conference on High Performance Computing (ISC'23)
MonSTer: An Out-of-the-Box Monitoring Tool for High Performance Computing Systems
Jie Li, Ghazanfar Ali, Ngan Nguyen, Jon Hass, Alan Sill, Tommy Dang, Yong Chen

IEEE International Conference on Cluster Computing (CLUSTER'20)
PIMS: A Lightweight Processing-in-Memory Accelerator for Stencil Computations
Jie Li, Xi Wang, Antonino Tumeo, Brody Williams, John D Leidel, Yong Chen

International Symposium on Memory Systems (MemSys'19)

Contact

Email: jie[dot]li[at]ttu[dot]edu /
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