Hilbert (Yuang) Chen

陈煜昂

Sys & Arch Researcher
PLT Enthusiast
Oct 11th 2001
United States
public@hilbertc.info

About Me

I am a first-year Ph.D. student researching virtual memory management of datacenters at Carnegie Mellon University. I am exploring operating systems and computer architecture co-design to enable new optimization opportunities. I am incredibly fortunate to be advised by Dimitrios Skarlatos, and I am a member of the Computer Architecture and Operating System Group (CAOS) and Parallel Data Lab (PDL)

Previously, I completed a B.Sc. in Computer Science at University of Michigan, with a dual-degree B.Eng. in Computer Engineering at Shanghai Jiao Tong University.

Education

Sept 2023 - Present
Ph.D. in Computer Engineering
Carnegie Mellon University - Pittsburgh, United States
Sept 2021 - May 2023
B.S. in Computer Science
University of Michigan - Ann Arbor, United States
Sept 2019 - May 2023
B.E. in Computer Engineering
Shanghai Jiao Tong University, China

Interests

Computer Architecture
Data Center Systems
System Programming
PL Theory & Compilers

Awards & Scholarships

Qualcomm Innovation Fellowship
2024-2025
Carnegie Mellon Institute of Technology Dean's Fellow
2023-2024
James B. Angell Scholar (University of Michigan)
2021-2023
Lum & Muriel Scholarship (University of Michigan)
2020-2022
Liming-Yu Scholarship
2019-2020

Selected Research

PA-RPC: Introducing Payload Awareness to Improve Data Center Efficiency
Hilbert Chen, 
Akshitha Sriraman (Advisor), 
Andrew R. Quinn (Advisor)
2022 - 2023
MICRO 2022 (SRC Award)
#data center microservices
#cross-stack optimizations

RPC layer accounts for considerable fleet-wide CPU cycles in today's data centers. We observe that existing HW/SW systems to accelerate RPC are developed based on high-level characteristics of RPCs, which are insufficient to identify many optimization opportunities. Therefore we build the real-world workload generator twrk, and perform a comprehensive, payload-aware characterization study of RPCs using DeathStarBench socialNetwork microservices and demonstrates the potential performance improvem ...

extended abstract
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Last Updated on May 3rd 2024