ResearchTrend.AI
Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings

Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings

Yassaman Ebrahimzadeh Maboud
Muhammad Adnan
Divyat Mahajan
Prashant J. Nair
ArXivPDFHTML

Papers citing "Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings"

2 / 2 papers shown
Title
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
59
151
0
12 Mar 2020
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
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
216
0
30 Dec 2019