121 citations · 141 across the 6 of their papers we have counts for
Showing 2018 · cs.DCShow all
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cs.DC2018
Matrix Factorization on GPUs with Memory Optimization and Approximate Computing
Wei Tan, Shiyu Chang, Liana Fong +3
Matrix factorization (MF) discovers latent features from observations, which has shown great promises in the fields of collaborative filtering, data compression, feature extraction…
cs.DC2018★ 3 cited
CuLDA_CGS: Solving Large-scale LDA Problems on GPUs
Xiaolong Xie, Yun Liang, Xiuhong Li +1
Latent Dirichlet Allocation(LDA) is a popular topic model. Given the fact that the input corpus of LDA algorithms consists of millions to billions of tokens, the LDA training proce…