Chenggang Wu

I am Co-founder and CTO of RunLLM, a startup building the developer platform for LLM-powered applications. RunLLM builds on over a decade of research from the UC Berkeley AMP, RISE, and Sky Labs as well as the LMSys group.

Previously, I got my Ph.D. from the RISE Lab at UC Berkeley, where I worked with Prof. Joe Hellerstein and Prof. Joseph Gonzalez. My Ph.D. dissertation on scalable cloud infrastructure won the 2022 SIGMOD Jim Gray Doctoral Dissertation Award. The dissertation explores design principles on building an ultra-fast, autoscaling key-value store Anna, and the next-generation serverless computing platform Cloudburst.

Prior to U.C. Berkeley, I obtained my B.S. degree with honors in Computer Science from Brown University, where I worked with Prof. Stan Zdonik and Prof. Tim Kraska.

CV / Google Scholar / Github / LinkedIn / Twitter

Publications

The Design of Any-scale Serverless Infrastructure with Rich Consistency Guarantees.
Chenggang Wu.
Ph.D. Dissertation. 2022 SIGMOD Jim Gray Doctoral Dissertation Award.
Serverless Multi-Query Motion Planning for Fog Robotics.
Raghav Anand, Jeffrey Ichnowski, Chenggang Wu, Joseph M. Hellerstein, Joseph E. Gonzalez, Ken Goldberg.
ICRA 2021.
Optimizing Prediction Serving on Low-Latency Serverless Dataflow.
Vikram Sreekanti, Harikaran Subbaraj, Chenggang Wu, Joseph E. Gonzalez, Joseph M. Hellerstein.
arXiv.
Autoscaling Tiered Cloud Storage in Anna.
Chenggang Wu, Vikram Sreekanti, Joseph M. Hellerstein.
VLDBJ 2020. "Best of VLDB 2019" Special Issue.
Transactional Causal Consistency for Serverless Computing.
Chenggang Wu, Vikram Sreekanti, Joseph M. Hellerstein.
SIGMOD 2020.
A Fault-Tolerance Shim for Serverless Computing.
Vikram Sreekanti, Chenggang Wu, Saurav Chhatrapati, Joseph E. Gonzalez, Joseph M. Hellerstein, Jose M. Faleiro.
EuroSys 2020.
Cloudburst: Stateful Functions-as-a-Service.
Vikram Sreekanti, Chenggang Wu, Xiayue Charles Lin, Johann Schleier-Smith, Jose M. Faleiro, Joseph E. Gonzalez, Joseph M. Hellerstein, Alexey Tumanov.
VLDB 2020/PVLDB.
Deep Unsupervised Cardinality Estimation.
Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica.
VLDB 2020/PVLDB.
Autoscaling Tiered Cloud Storage in Anna.
Chenggang Wu, Vikram Sreekanti, Joseph M. Hellerstein.
VLDB 2019/PVLDB. Best of Conference Selection.
Anna: A KVS For Any Scale.
Chenggang Wu, Jose M. Faleiro, Yihan Lin, Joseph M. Hellerstein.
TKDE 2019. "Best of ICDE 2018" Special Issue.
Serverless Computing: One Step Forward, Two Steps Back.
Joseph M. Hellerstein, Jose Faleiro, Joseph E. Gonzalez, Johann Schleier-Smith, Vikram Sreekanti, Alexey Tumanov,
Chenggang Wu.
CIDR 2019.
Towards a Learning Optimizer for Shared Clouds.
Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao.
VLDB 2019/PVLDB.
Anna: A KVS For Any Scale.
Chenggang Wu, Jose M. Faleiro, Yihan Lin, Joseph M. Hellerstein.
ICDE 2018. Best of Conference Selection.

Services

PC Member, SIGMOD 2021 and ICDE 2022.
Reviewer for VLDBJ, TKDE, and TCC.
U.C. Berkeley EECS Graduate Admissions Committee Member.
Organizer of Database Seminar for Berkeley Database Group, Fall 2018 and Spring 2019
Graduate Student Instructor for CS186/286A: Introduction to Database Systems, Spring 2016 and Spring 2018