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Xinhao Kong

PhD@Duke

Biography

I am a second-year Ph.D. student in the Department of Computer Science at Duke University, advised by Prof. Danyang Zhuo. My research interests include cloud computing and datacenter networks, with a focus on kernel bypass networking and hardware acceleration.

Before Duke, I received my bachelor’s degree from Peking University. I am also fortunate to work with other excellent researchers and engineers, including Wei Bai, Mahmoud Elhaddad, and Shachar Raindel when I intern at Microsoft. I also worked closely with Yibo Zhu and Chuanxiong Guo when I was in ByteDance.

News

Jan 2023 - I will present Husky on NSDI 2023. See you in Boston!

July 2022 - Our RDMA performance isolation paper get accepted by NSDI 2023!

May 2022 - I start my internship @Microsoft Azure Host Networking Group. Let’s meet at the Puget Sound!

April 2022 - I will present Collie on NSDI 2022. See you in Seattle/Renton!

Publications

  1. Remote Procedure Call as a Managed System Service (NSDI 2023)

    Jingrong Chen*, Yongji Wu*, Shihan Lin, Yechen Xu, Xinhao Kong, Thomas Anderson, Matthew Lentz, Xiaowei Yang, Danyang Zhuo. (*equal contribution)

    [pdf]

  2. Understanding RDMA Microarchitecture Resources for Performance Isolation (NSDI 2023)

    Xinhao Kong, Jingrong Chen, Wei Bai, Yechen Xu, Mahmoud Elhaddad, Shachar Raindel, Jitendra Padhye, Alvin R. Lebeck, Danyang Zhuo.

    [pdf] [code]

  3. Collie: Finding Performance Anomalies in RDMA Subsystems (NSDI 2022)

    Xinhao Kong, Yibo Zhu, Huaping Zhou, Zhuo Jiang, Jianxi Ye, Chuanxiong Guo, Danyang Zhuo.

    [pdf] [slides] [code] [video]

Invited Talks

  • Collie: Finding Performance Anomalies in RDMA Subsystems

    Harvard Cloud & Network System Group

    May 2022, Virtual

  • Finding Performance Anomalies in RDMA Subsystems

    Student Lightning Talk @Google Networking Research Summit 2022

    March 2022, Virtual

  • Finding Performance Anomalies in RDMA Subsystems

    Microsoft Research and Microsoft Azure

    September 2021, Virtual

Teaching

Awards / Honors

  • USENIX NSDI Student Grant, 2022
  • Duke Computer Science PhD Fellowship, 2021-2022
  • Peking University Outstanding Graduate Award, 2020