Implementing a Parallel Matrix Factorization Library on the Cell Broadband Engine
Matrix factorization (or often called decomposition) is a frequently used kernel in a large number of applications ranging from linear solvers to data clustering and machine learning. The central contribution of this paper is a thorough performance study of four popular matrix factorization techniqu...
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Veröffentlicht in: | Scientific programming 2009, Vol.17 (1-2), p.3-29 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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