Publications

VLDB 2022: Accelerating Recommendation System Training by Leveraging Popular Choices
Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan and Prashant J. Nair.
“Accelerating Recommendation System Training by Leveraging Popular Choices”. In Proceedings of the VLDB Endowment, Volume 15, Issue 1 (VLDB’22), Sydney, Australia, Sep 2022.
Paper PDF | Slides PDF | Poster PDF | GitHub
ACM DL | Talk Video on YouTube | BibTeX

DLRM: Deep Learning Recommendation Model for Personalization and Recommendation Systems
Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi, Jianyu Huang, Narayanan Sundaraman, Jongsoo Park, Xiaodong Wang, Udit Gupta, Carole-Jean Wu, Alisson G. Azzolini, Dmytro Dzhulgakov, Andrey Mallevich, Ilia Cherniavskii, Yinghai Lu, Raghuraman Krishnamoorthi, Ansha Yu, Volodymyr Kondratenko, Stephanie Pereira, Xianjie Chen, Wenlin Chen, Vijay Rao, Bill Jia, Liang Xiong and Misha Smelyanskiy.
Paper PDF | arXiv | GitHub | BibTeX