Ziyi Zhao

Graduate Research Assistant at Rice University
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Contact Information
us****@****om
(386) 825-5501
Location
Houston, Texas, United States, US

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Experience

    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant
      • Jun 2022 - Present

      Leveraging OS-level virtualization techniques to improve memory and storage systems. Advised by Prof. Scott Rixner.

    • Teaching Assistant
      • Jan 2022 - Present

      - Parallel Computing (COMP 422/534) - 2022- Introduction to Computer Networks (COMP/ELEC 429/556) - 2021

  • Nankai University
    • Tianjin, China
    • Research Assistant
      • Jun 2018 - May 2021

      - Investigated the use of lock-free data structures to ensure correctness and parallelism in Dynamic Binary Translation (DBT) systems, resulting in a published paper in CGO'21. - Designed a distributed system framework to scale DBT systems beyond a single machine to a cluster of machines, leading to a paper published in ICPP'20. - Contributed to the development of prefetching techniques to hide data access latency on accelerators such as GPUs and Intel SGX, leading to paper publications in Middleware'20 and ICPP'21. Show less

    • Research Assistant
      • Feb 2021 - Apr 2021

      - Researched and developed a prototype for accelerating Dynamic Binary Translation (DBT) systems (e.g., QEMU) using SIMD (Single Instruction, Multiple Data) units in CPUs. - Resulted in up to 2.2x speedup on AArch64 to x86-64 executions. Lead to a paper published in VEE'21. - Researched and developed a prototype for accelerating Dynamic Binary Translation (DBT) systems (e.g., QEMU) using SIMD (Single Instruction, Multiple Data) units in CPUs. - Resulted in up to 2.2x speedup on AArch64 to x86-64 executions. Lead to a paper published in VEE'21.

    • Visiting Research Student
      • Jul 2019 - Sep 2019

      - Conducted research to improve the parallel efficiency of Dynamic Binary Translation (DBT) systems such as QEMU, by utilizing distributed system techniques. - Developed a prototype that demonstrated the scalability of QEMU beyond a single machine using distributed computing approaches. - This project provided the motivation for a subsequent paper, which was published in ICPP'20. - Conducted research to improve the parallel efficiency of Dynamic Binary Translation (DBT) systems such as QEMU, by utilizing distributed system techniques. - Developed a prototype that demonstrated the scalability of QEMU beyond a single machine using distributed computing approaches. - This project provided the motivation for a subsequent paper, which was published in ICPP'20.

Education

  • Rice University
    Doctor of Philosophy - PhD, Computer Science
    2021 - 2026
  • Nankai University
    Bachelor of Engineering - BE, Computer Science
    2016 - 2020

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