A Parallel Non-negative Sparse Large Matrix Factorization

Anatoly Anisimov,Oleksandr Marchenko,Emil Nasirov,Stepan Palamarchuk

doi:10.1007/978-3-319-10888-9_14

A Parallel Non-negative Sparse Large Matrix Factorization

Anatoly Anisimov, Oleksandr Marchenko + Show 2 more

https://doi.org/10.1007/978-3-319-10888-9_14

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Publication Date: Jan 1, 2014

Citations: 8

Affiliation: Taras Shevchenko National University of Kyiv

#Sparse Matrix Factorization #Non-negative Matrix Factorization + Show 8 more

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Abstract

This paper proposes parallel methods of non-negative large sparse matrix factorization – a very popular technique in computational linguistics. Memory usage and data transmitting necessity of factorization algorithm was analysed and optimized. The described effective GPU-based and distributed algorithms were implemented, tested and compared by means of large sparse matrices processing.

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