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 . Jie completed his Master of Science degree in Computer Science from Texas Tech University in 2019. Prior to that, he earned a bachelor’s degree in architecture.

Research Summary

My research journey in Computer Science has been deeply rooted in the realm of High-Performance Computing (HPC) with a multifaceted approach. My commitment lies in exploring innovative solutions for advancing HPC system management, operational data analytics, job scheduling, and system architecture. Leveraging a blend of academic expertise and practical experience, I have actively engaged in pioneering research endeavors that contribute to the advancement of HPC systems and their performance optimization.

News

[09/2024]: Job Scheduling in High-Performance Computing Systems with Disaggregated Memory Resources appears at CLUSTER'24.
[06/2024]: Jie continues his work at DISCL as a Postdoctoral Researcher after earning his Ph.D.
[01/2024]: Towards Cycle-accurate Simulation of xBGAS appears at ICNC'24.
[07/2023]: Workload Failure Prediction for Data Centers appears at CLOUD'23.
[05/2023]: Analyzing Resource Utilization in an HPC System: A Case Study of NERSC Perlmutter appears at ISC'23.
[03/2021]: HAM: Hotspot-Aware Manager for Improving Communications With 3D-Stacked Memory appears at IEEE Transactions on Computers.
[09/2020]: MonSTer: An Out-of-the-Box Monitoring Tool for High Performance Computing Systems appears at CLUSTER'20.
[09/2019]: PIMS: A Lightweight Processing-in-Memory Accelerator for Stencil Computation appears at MEMSYS'19.

Contact

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