Danyang Zhuo
Assistant Professor
Duke System Group
Department of Computer Science
Duke University
danyang@cs.duke.edu
Biography
I am an assistant professor in the Department of Computer Science at Duke University. Before Duke, I was a postdoctoral researcher at UC Berkeley, working with Professor Ion Stoica. I completed my Ph.D. in the Paul G. Allen School of Computer Science and Engineering at University of Washington, advised by Professor Tom Anderson and Professor Arvind Krishnamurthy. My research has received NSF CAREER Award (2023), USENIX Security Distinguished Paper Award (2023), USENIX FAST Best Paper Award (2021), Amazon Research Award (2021), IBM Academic Award (2021), and Meta Research Award (2022, 2021).
[Curriculum Vitae]
Research
My research interests are (1) datacenter and cloud computing and (2) machine learning systems. Some research hightlights:
- Phoenix, a system service that exposes common application-level abstractions for speed and manageability. Its components include:
- mRPC (NSDI23), an RPC architecture that supports efficient RPC-level policies and live upgradability.
- RDMABench, a test framework for RDMA software/hardware stack. Its components include:
- Husky (NSDI23), a test suite for RDMA performance isolation for multi-tenant RDMA.
- Collie (NSDI22), a test suite for RDMA performance anomalies.
- A series of machine learning system research, including:
- JellyBean (VLDB23), a serving framework for ML workflows.
- Alpa (OSDI22), a training framework for large neural network models.
- TeraPipe (ICML21), a new parallelism dimension for training/serving large language models.
- Ansor (OSDI20), a compiler to generate efficient code for hardware accelerators.
Students
I am very fortunate to work with a fantastic group of PhD students.
- Jingrong Chen
- Yicheng Jin
- Xinhao Kong
- Samantha Miller (with Tom Anderson)
- Jianxing Qin
- Yongji Wu (with Matthew Lentz)
- Yechen Xu
Teaching
- Spring 2024: Introduction to Computer Systems (CompSci 210)
- Spring 2023: Distributed Systems (CompSci 512)
- Fall 2022: Introduction to Operating Systems (CompSci 310)
- Spring 2022: Data Center Systems (CompSci 590.04)
- Fall 2021: Introduction to Operating Systems (CompSci 310)
- Fall 2020: Advanced Operating Systems (CompSci 510)
Service
Organizer:
- 2022: Co-Chair for SIGCOMM Artifact Evaluation Committee
Technical Program Committee:
- 2024: NSDI, SIGMOD
- 2023: APNET, NSDI, SIGCOMM
- 2022: APNET, FAST, NSDI, SIGCOMM
- 2021: CoNEXT
- 2020: SIGCOMM
Acknowledgement
I thank the following organizations and companies for their generous support:
