Carole-Jean Wu

RESEARCH SCIENTIST | CAMBRIDGE, UNITED STATES

Carole-Jean Wu is a Research Scientist at Facebook’s AI Research. Carole's research focuses in the area of Computer and System Architectures, in particular, on designing high-performance and energy-efficient computer systems through domain-specific architectures, heterogeneity-aware optimization, energy harvesting techniques, temperature and energy management for portable electronics, and memory subsystem design and optimization. More recently, Carole-Jean's research has pivoted into designing systems for machine learning execution at-scale, such as for personalized recommender systems and mobile deployment. She chairs the MLPerf Recommendation Benchmark Advisory Board and co-chairs MLPerf Inference, a multi-industry benchmarking consortium for machine learning. She completed her M.A. and Ph.D. degrees from Princeton University and received a B.Sc. degree from Cornell University. She is the recipient of the NSF CAREER Award, Facebook AI Infrastructure Mentorship Award, the IEEE Young Engineer of the Year Award, the Science Foundation Arizona Bisgrove Early Career Scholarship, and the Intel PhD Fellowship, among a number of Best Paper awards.

Carole-Jean's Publications

April 26, 2023

CORE MACHINE LEARNING

SYSTEMS RESEARCH

Green Federated Learning

Ashkan Yousefpour, Shen Guo, Ashish Shenoy, Sayan Ghosh, Pierre Stock, Kiwan Maeng, Schalk Krüger, Mike Rabbat, Carole-Jean Wu, Ilya Mironov

April 26, 2023

July 12, 2022

Carbon Dependencies in Datacenter Design and Management

Bilge Acun, Aditya Sundarrajan, Benjamin Lee, Carole-Jean Wu, David Brooks, Fiodar Kazhamiaka, Kiwan Maeng, Manoj Chakkaravarthy

July 12, 2022

June 13, 2022

ACT: Designing Sustainable Computer Systems With An Architectural Carbon Modeling Tool

Carole-Jean Wu, David Brooks, Hsien-Hsin Sean Lee, Udit Gupta, Gage Hills, Gu-Yoen Wei, Mariam Elgamal

June 13, 2022

April 26, 2022

PAPAYA: PRACTICAL, PRIVATE, AND SCALABLE FEDERATED LEARNING

Dzmitry Huba, John Nguyen, Kshitiz Malik, Ruiyu Zhu, Mike Rabbat, Ashkan Yousefpour, Carole-Jean Wu, Hongyuan Zhan, Pavel Ustinov, Harish Srinivas, Kaikai Wang, Anthony Shoumikhin, Jesik Min, Mani Malek

April 26, 2022

April 02, 2022

Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation

Liu Ke, Carole-Jean Wu, Hsien-Hsin Sean Lee, Udit Gupta, Mark Hempstead, Xuan Zhang

April 02, 2022