Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units.
Feng YanNingyi XuYuan (Alan) QiPublished in: NIPS (2009)
Keyphrases
- latent dirichlet allocation
- graphics processing units
- gibbs sampling
- topic models
- collapsed gibbs sampling
- variational inference
- variational bayesian inference
- general purpose
- variational bayes
- parallel processing
- parallel implementation
- generative model
- parallel computing
- computing systems
- gpu implementation
- lda model
- efficient implementation
- topic modeling
- real time
- massively parallel
- floating point
- text mining
- bayesian inference
- latent topics
- compute unified device architecture
- approximate inference
- high performance computing
- generative process
- probabilistic inference
- probabilistic topic models
- bayesian networks
- dirichlet process
- markov chain
- co occurrence
- maximum likelihood
- exact inference
- parallel machines
- probabilistic model
- message passing