Headshot of Kim Hazelwood
Headshot of Kim Hazelwood

People

Kim Hazelwood

Engineering Director

My expertise lies at the interface between systems and machine learning. I serve as the west coast head of engineering for Facebook AI Research (FAIR), as well as the research area lead for the SysML team, where we focus on advancing the state-of-the-art across the full stack for end-to-end pipelines for machine learning. Prior to FAIR, I was part of Facebook AI Infrastructure, where I worked on building efficient and scalable hardware and software platforms for Facebook’s production and mobile use cases of machine learning.

Prior to joining Facebook in 2015, I held positions including tenured Associate Professor at the University of Virginia, Software Engineer at Google, and Director of Systems Research at Yahoo Labs. I received a PhD in computer science from Harvard University, and am the recipient of an NSF CAREER Award, the Anita Borg Early Career Award, the MIT Technology Review Top 35 Innovators under 35 Award, the ACM SIGPLAN 10-Year Test of Time Award, and the 2020 CRA Distinguished Service Award. I have authored over 50 conference papers and one book.

Interests

SysML, AI/ML compilers, frameworks, optimizations, performance analysis, developer tools, HW/SW co-design, datacenter-scale solutions

Latest Publications

RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing

Liu Ke, Udit Gupta, Benjamin Youngjae Cho, David Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang, Brandon Reagen, Carole-Jean Wu, Mark Hempstead, Xuan Zhang

ISCA