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SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs
Latent Dirichlet Allocation (LDA) is a popular tool for analyzing discrete count data such as text and images.
WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation
We then develop WarpLDA, an LDA sampler which achieves both the best O(1) time complexity per token and the best O(K) scope of random access.
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