Lingfei Wu  Lingfei Wu photo       

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Large-Scale Machine Learning, Big Data Analytics, High-Performance Scientific Computing
Thomas J. Watson Research Center, Yorktown Heights, NY USA
  +1dash757dash634dash5455

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Professional Associations

Professional Associations:  ACM  |  Society for Industrial and Applied Mathematics

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Lingfei Wu earned his Ph.D. degree in computer science from College of William and Mary and he starts his Post-Doctoral research position at IBM T. J. Watson Research Center in summer 2016. 

Lingfei's research interests mainly span in large-scale machine learning, data mining, big data analytics, parallel computing, high-performance scientific computing, numerical linear algebra, and mathematical software.

 

PRIMME_SVDS: A State-of-The-Art SVD Solver in PRIMME Library

We design and implement a state-of-the-art high-performance SVD software, PRIMME_SVDS on top of PRIMME for solving large-scale SVD problems. It can be used in a single node or a large cluster, supporting computation of both largest and smallest singular triplets in full accuracy. It provides C, Fortran, Matlab and Python interfaces to serve a broad class of users.