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.