CuLDA_CGS: Solving Large-scale LDA Problems on GPUs

Abstract

Latent Dirichlet Allocation(LDA) is a popular topicmodel. Given the fact that the input corpus of LDA algorithms consists of millions to billions of tokens, the LDA training process is very time-consuming, which may prevent the usage of LDA in many scenarios, e.g., online service. GPUs have benefited modern machine learning algorithms and big data analysis… (More)

Topics

13 Figures and Tables

Slides referencing similar topics