Headshot of Jianyu Huang
Headshot of Jianyu Huang

People

Jianyu Huang

Research Scientist

I joined Meta as a Research Scientist in September 2018, where I work on Deep Learning and AI System Co-design. Previously, I was a Research and Software Engineering Intern at Microsoft Research Asia, VMware Inc., and Intel Labs. My interests lie in improving the performance of machine learning applications and simplifying the programming model for parallel computing.

I received my PhD in computer science from The University of Texas at Austin in 2018. My dissertation topic is the practical fast matrix multiplication algorithms, which can demonstrate performance benefits on single core, multi core, many core, distributed memory CPU architectures and GPUs.

Interests

Deep learning, parallel algorithms, numerical methods, high performance computing

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