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Accelerating Recommendation System Training by Leveraging Popular
  Choices

Accelerating Recommendation System Training by Leveraging Popular Choices

1 March 2021
Muhammad Adnan
Yassaman Ebrahimzadeh Maboud
Divyat Mahajan
Prashant J. Nair
ArXivPDFHTML

Papers citing "Accelerating Recommendation System Training by Leveraging Popular Choices"

10 / 10 papers shown
Title
ElasticRec: A Microservice-based Model Serving Architecture Enabling
  Elastic Resource Scaling for Recommendation Models
ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation Models
Yujeong Choi
Jiin Kim
Minsoo Rhu
39
1
0
11 Jun 2024
Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in
  Recommendation Networks
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
RecD: Deduplication for End-to-End Deep Learning Recommendation Model
  Training Infrastructure
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure
Mark Zhao
Dhruv Choudhary
Devashish Tyagi
A. Somani
Max Kaplan
...
Jongsoo Park
Aarti Basant
Niket Agarwal
Carole-Jean Wu
Christos Kozyrakis
VLM
28
6
0
09 Nov 2022
A Frequency-aware Software Cache for Large Recommendation System
  Embeddings
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
23
3
0
08 Aug 2022
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10
  minutes on 1 GPU
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
BagPipe: Accelerating Deep Recommendation Model Training
BagPipe: Accelerating Deep Recommendation Model Training
Saurabh Agarwal
Chengpo Yan
Ziyi Zhang
Shivaram Venkataraman
37
17
0
24 Feb 2022
Deep Learning Training in Facebook Data Centers: Design of Scale-up and
  Scale-out Systems
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
83
0
20 Mar 2020
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
150
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
213
0
30 Dec 2019
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,826
0
17 Sep 2019
1