Project details for Scalable Parallel EM Algorithms for LDA in Multi Core Systems

Logo Scalable Parallel EM Algorithms for LDA in Multi Core Systems 1.0.0

by anysubway - December 5, 2014, 10:18:36 CET [ BibTeX Download ]

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Description:

Latent Dirichlet allocation (LDA) is a widely-used probabilistic topic modeling tool for content analysis such as web mining. To handle web-scale content analysis on just a single PC, we propose multi-core parallel expectation-maximization (PEM) algorithms to infer and estimate LDA parameters in shared memory systems. By avoiding memory access conflicts, reducing the locking time among multiple threads and residual-based dynamic scheduling, we show that PEM algorithms are more scalable and accurate than the current state-of-the-art parallel LDA algorithms on a commodity PC.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download
Supported Operating Systems: Linux
Data Formats: Txt
Tags: Lda, Parallel, Em
Archive: download here

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