My research interests include operating systems and distributed systems, to be specific, enabling performant and reliable distributed systems via designing or implementing operating system primitives. In particular, my research aims at re-designing distributed infrastructures considering (1) new resource comsuming patterns of modern distributed applications (e.g., AI training), and (2) new features of emerging advanced networking hardware (e.g., programmable switches, CXL).
My current research topic is around performant and reliable distributed data coordination.
GPA: 3.98 / 4.00
[OSDI] Microsecond-scale Preemption for Concurrent GPU-accelerated DNN Inferences. Mingcong Han, Hanze Zhang, Rong Chen, and Haibo Chen. The 16th USENIX Symposium on Operating Systems Design and Implementation, Carlsbad, CA, US, July 2022.