Headshot of Assaf Eisenman
Headshot of Assaf Eisenman

People

Assaf Eisenman

Technical Lead Manager

I am a Distributed Systems Researcher and Manager at Meta. I lead a team focused on researching and developing novel systems for AI to enable efficient, large-scale, distributed training of deep learning models. These include areas such as checkpointing, real-time personalization/model publishing, and transfer learning. I previously received my PhD at Stanford University, focusing on distributed systems for machine learning and storage. I also have a strong background in computer architecture and have been a CPU performance architect at Intel in the past.

Latest Publications

Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models

Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Zhihao Jia, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie (Amy) Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, KR Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Ajit Mathews, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao

ISCA - 2022