Pre-train and Search: Efficient Embedding Table Sharding with
Pre-trained Neural Cost Models

Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models

3 May 2023

Daochen Zha

Louis Feng

Bhargav Bhushanam

Papers citing "Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models"

8 / 8 papers shown

Title
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems Aaron Ferber Taoan Huang Daochen Zha M. Schubert Benoit Steiner B. Dilkina Yuandong Tian 33 20 0 22 Oct 2022
RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation Geet Sethi Bilge Acun Niket Agarwal Christos Kozyrakis Caroline Trippel Carole-Jean Wu 36 65 0 25 Jan 2022
Dynamic Memory based Attention Network for Sequential Recommendation Qiaoyu Tan Jianwei Zhang Ninghao Liu Xiao Shi Huang Hongxia Yang Jingren Zhou Xia Hu HAI 85 59 0 18 Feb 2021
Sparse-Interest Network for Sequential Recommendation Qiaoyu Tan Jianwei Zhang Jiangchao Yao Ninghao Liu Jingren Zhou Hongxia Yang Xia Hu 77 130 0 18 Feb 2021
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 52 82 0 19 Jan 2021
FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference D. Khudia Jianyu Huang Protonu Basu Summer Deng Haixin Liu Jongsoo Park M. Smelyanskiy FedML MQ 27 44 0 13 Jan 2021
Learning to Embed Categorical Features without Embedding Tables for Recommendation Wang-Cheng Kang D. Cheng Tiansheng Yao Xinyang Yi Ting-Li Chen Lichan Hong Ed H. Chi LMTD CML DML 41 67 0 21 Oct 2020
Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems Maxim Naumov John Kim Dheevatsa Mudigere Srinivas Sridharan Xiaodong Wang ... Krishnakumar Nair Isabel Gao Bor-Yiing Su Jiyan Yang M. Smelyanskiy GNN 28 94 0 20 Mar 2020