Liu Ke

About me

I am a Performance Architect working in Tenstorrent.

My research focuses on optimizing large-scale deep learning-based personalized recommendation systems. To enable efficient production deployment, my work improves the recommendation serving at-scale through the practical near-memory processing solution, the heterogeneity-aware datacenter resource management, and our vision of designing the next-generation datacenter in a disaggregated manner for future fast-evolving recommendation models. 


[Google Scholar]


Professional Experience

Performance Architect (Feb. 2023 - Present)

Mentor: Dr. Hsien-Hsin Sean Lee

Facebook AI Research (FAIR) Visiting Researcher (Jan. 2020 - Aug. 2022)

AI Infrastructure Research Intern (May 2019 - Jan. 2020)


Ph.D. in Electrical Engineering (2018-2023)

M.S. in Electrical Engineering (2016-2018)

Advisor: Prof. Xuan Zhang

B.E. in Software Engineering (2012-2016)

Selected Publications

For a complete and up to date list of publications please visit Google Scholar.