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Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on
  GPUs

Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs

11 March 2016
Wei Tan
Liangliang Cao
L. Fong
ArXivPDFHTML

Papers citing "Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs"

3 / 3 papers shown
Title
HEAT: A Highly Efficient and Affordable Training System for
  Collaborative Filtering Based Recommendation on CPUs
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs
Chengming Zhang
Shaden Smith
Baixi Sun
Jiannan Tian
Jon Soifer
Xiaodong Yu
Shuaiwen Leon Song
Yuxiong He
Dingwen Tao
41
0
0
14 Apr 2023
A High-Performance Implementation of Bayesian Matrix Factorization with
  Limited Communication
A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication
T. Aa
Xiangju Qin
P. Blomstedt
Roel Wuyts
Wilfried Verachtert
Samuel Kaski
16
0
0
06 Apr 2020
DID: Distributed Incremental Block Coordinate Descent for Nonnegative
  Matrix Factorization
DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization
Tianxiang Gao
C. Chu
27
11
0
25 Feb 2018
1