Hi, I’m Jiaxin Lin. I’m currently a graduate student at the University of Texas Austin, major in Computer Science. I got my bachelor degree from Beihang University, Beijing in 2019. I am now a part of the University of Texas Networked Systems (UTNS) Lab, and my adviser is Aditya Akella. Specifically, I am interested in computer network and system, especially in programmable hardware, data center networks, big data system, and SmartNIC.

Awards:

• 2024 MIT EECS Rising Stars.
• 2023 Google Ph.D. Fellowship Winner.
• 2021 Meta Ph.D. Fellowship Winner.
• Professional Development Award, UT Austin (2023, 2024).
• SIGCOMM Student Travel Grant (2023).
• NSDI Student Travel Grant (2023, 2024).

Contact: jxlin AT utexas.edu

I am on the academic job market this year.

Publications

• Balancing SDN Control Plane Availability and Traffic Engineering Efficiency in Data Centers [ Link]

  Brian Chang, Keqiang He, Shawn Chen, Jiaxin Lin, Mingyang Zhang, Wenfei Wu, Aditya Akella
  32nd IEEE International Conference on Network Protocols (ICNP'24)

• LogNIC: A High-Level Performance Model for SmartNICs [ Link] [ PDF]

  Zerui Guo, Jiaxin Lin, Yuebin Bai, Daehyeok Kim, Michael Swift, Aditya Akella, Ming Liu
  IEEE/ACM International Symposium on Microarchitecture (MICRO'23)

• Ringleader: Efficiently Offloading Intra-Server Orchestration to NICs [ Link] [ PDF] [ Artifact]

  Jiaxin Lin, Adney Cardoza, Tarannum Khan, Yeonju Ro, Brent Stephens, Hassan Wassel, Aditya Akella
  20th USENIX Symposium on Networked Systems Design and Implementation (NSDI ‘23)

• Towards Accelerating Data Intensive Application’s Shuffle Process Using SmartNICs [ Link] [ PDF]

  Jiaxin Lin, Tao Ji, Xiangpeng Hao, Hokeun Cha, Yanfang Le, Xiangyao Yu, Aditya Akella
  ACM SIGMETRICS 2023 (SIGMETRICS ‘23)

• PANIC: A High-Performance Programmable NIC for Multi-tenant Networks [ Link] [ PDF] [ Artifact]

  Jiaxin Lin, Kiran Patel, Brent Stephens, Anirudh Sivaraman, Aditya Akella
  14th USENIX Symposium on Operating Systems Design and Implementation (OSDI ‘20)

• DLBooster: Boosting End-to-End Deep Learning Workflow with Offloading Data Preprocessing Pipelines [ Link] [ PDF]

  Yang Cheng, Dan Li, Zhiyuan Guo, BinYao Jiang, Jiaxin Lin, Xi Fan, Jinkun Geng, Xinyi Yu, Wei Bai, Lei Qu, Ran Shu, Peng Cheng, Yongqiang Xiong, Jianping Wu
  48th International Conference on Parallel Processing (ICPP 2019)

• Bridging the Gap of Lane Detection Performance Between Different Datasets: Unified Viewpoint Transformation [ Link] [ PDF]

  Tuopu Wen, Diange Yang, Kun Jiang, Chunlei Yu, Jiaxin Lin, Benny Wijaya, Xinyu Jiao
  IEEE Transactions on Intelligent Transportation Systems

Work Experience

• Teaching Assistant, Advanced Topics in Computer Networks (CS395T), UT Austin (2024 Fall)
• Research Intern at Google System Research Group (SRG) (2023 - 2024)
• Research Intern at Google Network Infrastructure Team (2021 Summer and 2022 Summer)
• Research Assistant in Wisconsin Internet & Systems Research Group (Sep 2019 - Current)
• MSRA (Microsoft Research Asia), Network Research Group, Full Time Intern (Sep 2018 - Jun 2019)
• Research Assistant in Automatic Driving Laboratory, Tsinghua University (Apr 2018 - Sep 2018)
• Teaching Assistant, Computer Architecture, Beihang University (Jun 2017 - Feb 2018)

Service

• Transactions Reviewer, IEEE TVLSI (2024)
• Pre-Review Task Force, NSDI (2024)
• External Review Committee, ATC (2024)
• External Review Committee, ASPLOS (2023)