Sherry Li
Xiaoye Sherry Li is a researcher in numerical methods at the Lawrence Berkeley National Laboratory, where she works as a senior scientist. She is responsible there for the SuperLU package, a high-performance parallel system for solving sparse systems of linear equations by using their LU decomposition.[1] At the Lawrence Berkeley National Laboratory, she heads the Scalable Solvers Group.[2]
Education
[edit]Li graduated from Tsinghua University in 1986, with a bachelor's degree in computer science. She moved to the United States for graduate study, earning a master's degree from Pennsylvania State University in 1990 and a Ph.D. in computer science from the University of California, Berkeley in 1996.[2] Her doctoral dissertation, Sparse Gaussian Elimination on High Performance Computers, was supervised by James Demmel.[3]
Recognition
[edit]In 2016, she was elected as a SIAM Fellow "for advances in the development of fast and scalable sparse matrix algorithms and fostering their use in large-scale scientific and engineering applications".[2][4] With Piyush Sao and Richard Vuduc she was awarded the 2022 SIAM Activity Group on Supercomputing Best Paper Prize.[5]
References
[edit]- ^ "Xiaoye Sherry Li", Scalable Solvers Group, Lawrence Berkeley National Laboratory, retrieved 2018-02-27
- ^ a b c CRD's Xiaoye "Sherry" Li Named 2016 SIAM Fellow, Lawrence Berkeley National Laboratory, March 31, 2016, retrieved 2018-02-27
- ^ Ph.D. Dissertations - James Demmel, University of California, Berkeley, Department of Electrical Engineering and Computer Sciences, retrieved 2018-02-27
- ^ SIAM Fellows: Class of 2016, Society for Industrial and Applied Mathematics, retrieved 2018-02-27
- ^ "PP22 Prize Spotlight". SIAM News. Retrieved 2022-05-28.
External links
[edit]- Home page
- Sherry Li publications indexed by Google Scholar
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