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Efficient Probabilistic Latent Semantic Indexing using Graphics Processing Unit
2011
Procedia Computer Science
In this paper, we attempt to accelerate the Probabilistic Latent Indexing (PLSI) exploiting the high parallelism of Graphic Processing Unit (GPU). Our proposal is composed of three methods. The first method is to accelerate the Expectation-Maximization (EM) computation by applying GPGPU matrix-vector multiplication. The second method uses the same principles as the first method but deals with the sparseness of co-occurrence of words and documents. The third method is to use the concurrent
doi:10.1016/j.procs.2011.04.040
fatcat:jxavxqszonawtpqdsdp6xebfje