CuLDA_CGS: Solving Large-scale LDA Problems on GPUs


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)


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