ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models
with Huge Embedding Table

ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table

17 April 2021

Ruiming Tang

Papers citing "ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table"

12 / 12 papers shown

Title
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction Shiwei Li Huifeng Guo Luyao Hou Wei Zhang Xing Tang Ruiming Tang Rui Zhang Rui Li MQ 129 9 0 12 Dec 2022
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning Ji Liu Juncheng Jia Beichen Ma Chen Zhou Jingbo Zhou Yang Zhou H. Dai Dejing Dou FedML 35 24 0 24 Nov 2022
A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models Yingcan Wei Matthias Langer F. Yu Minseok Lee Kingsley Liu Ji Shi Zehuan Wang BDL 26 17 0 17 Oct 2022
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference Zehuan Wang Yingcan Wei Minseok Lee Matthias Langer F. Yu ... Daniel G. Abel Xu Guo Jianbing Dong Ji Shi Kunlun Li GNN LRM 25 32 0 17 Oct 2022
A Comprehensive Survey on Trustworthy Recommender Systems Wenqi Fan Xiangyu Zhao Xiao Chen Jingran Su Jingtong Gao ... Qidong Liu Yiqi Wang Hanfeng Xu Lei Chen Qing Li FaML 43 46 0 21 Sep 2022
Training Personalized Recommendation Systems from (GPU) Scratch: Look Forward not Backwards Youngeun Kwon Minsoo Rhu 21 27 0 10 May 2022
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU Zangwei Zheng Peng Xu Xuan Zou Da Tang Zhen Li ... Xiangzhuo Ding Fuzhao Xue Ziheng Qing Youlong Cheng Yang You VLM 44 7 0 13 Apr 2022
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 35 32 0 11 Apr 2022
Click-Through Rate Prediction in Online Advertising: A Literature Review Yanwu Yang Panyu Zhai CML 3DV 55 96 0 22 Feb 2022
Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions Adam Lesnikowski Gabriel de Souza P. Moreira Sara Rabhi K. Byleen-Higley ELM 17 2 0 21 Dec 2021
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
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He Zhenhua Dong 115 64 0 12 Apr 2018