Accelerating Recommender Systems via Hardware "scale-in"

11 September 2020

Papers citing "Accelerating Recommender Systems via Hardware "scale-in""

5 / 5 papers shown

Title
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems Yuanxing Zhang Langshi Chen Siran Yang Man Yuan Hui-juan Yi ... Yong Li Dingyang Zhang Wei Lin Lin Qu Bo Zheng 27 32 0 11 Apr 2022
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture S. Min Kun Wu Sitao Huang Mert Hidayetouglu Jinjun Xiong Eiman Ebrahimi Deming Chen Wen-mei W. Hwu GNN 10 67 0 04 Mar 2021
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 41 83 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 57 150 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 41 212 0 30 Dec 2019