Heterogeneous Acceleration Pipeline for Recommendation System Training

Heterogeneous Acceleration Pipeline for Recommendation System Training

11 April 2022

Yassaman Ebrahimzadeh Maboud

Prashant J. Nair

Papers citing "Heterogeneous Acceleration Pipeline for Recommendation System Training"

9 / 9 papers shown

Title
Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training Muhammad Adnan Amar Phanishayee Janardhan Kulkarni Prashant J. Nair Divyat Mahajan 45 0 0 23 Apr 2024
Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks Muhammad Adnan Yassaman Ebrahimzadeh Maboud Divyat Mahajan Prashant J. Nair 40 3 0 28 Aug 2023
Systems for Parallel and Distributed Large-Model Deep Learning Training Kabir Nagrecha GNN VLM MoE 26 7 0 06 Jan 2023
A Frequency-aware Software Cache for Large Recommendation System Embeddings Jiarui Fang Geng Zhang Jiatong Han Shenggui Li Zhengda Bian Yongbin Li Jin Liu Yang You 21 3 0 08 Aug 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 47 66 0 25 Jan 2022
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 50 68 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 46 95 0 20 Mar 2020
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems Weijie Zhao Deping Xie Ronglai Jia Yulei Qian Rui Ding Mingming Sun P. Li MoE 59 150 0 12 Mar 2020
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing Liu Ke Udit Gupta Carole-Jean Wu B. Cho Mark Hempstead ... Dheevatsa Mudigere Maxim Naumov Martin D. Schatz M. Smelyanskiy Xiaodong Wang 49 213 0 30 Dec 2019