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CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale
  Recommendation Models

CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models

6 December 2023
Hailin Zhang
Zirui Liu
Boxuan Chen
Yikai Zhao
Tong Zhao
Tong Yang
Bin Cui
ArXivPDFHTML

Papers citing "CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models"

3 / 3 papers shown
Title
PIFS-Rec: Process-In-Fabric-Switch for Large-Scale Recommendation System
  Inferences
PIFS-Rec: Process-In-Fabric-Switch for Large-Scale Recommendation System Inferences
Pingyi Huo
Anusha Devulapally
Hasan Al Maruf
Minseo Park
Krishnakumar Nair
Meena Arunachalam
Gulsum Gudukbay Akbulut
M. Kandemir
Vijaykrishnan Narayanan
29
0
0
25 Sep 2024
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling
Shuaipeng Li
Penghao Zhao
Hailin Zhang
Xingwu Sun
Hao Wu
...
Zheng Fang
Jinbao Xue
Yangyu Tao
Bin Cui
Di Wang
22
6
0
23 May 2024
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep
  Learning Ads Systems
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
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