World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
6875
World Ranking
13873
National Ranking
5515

Research.com Recognitions

  • 2016 - 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.
  • 2009 - ACM Senior Member

Overview

Xiaoye S. Li is a researcher affiliated with Lawrence Berkeley National Laboratory in the United States. Their primary field of study is computer science, with a focus on computational theory and mathematics. Their research spans several subfields including atomic and molecular physics and optics, artificial intelligence, hardware and architecture, and computer networks and communications.

The topics Xiaoye S. Li has worked on include:

  • Matrix Theory and Algorithms
  • Parallel Computing and Optimization Techniques
  • Electromagnetic Scattering and Analysis
  • Tensor Decomposition and Applications
  • Advanced Chemical Physics Studies
  • Advanced Multi-Objective Optimization Algorithms
  • Machine Learning and Data Classification

Their list of frequent coauthors includes:

  • Yang Liu
  • Pieter Ghysels
  • Hengrui Luo
  • Tianyi Shi
  • Hartwig Anzt

Xiaoye S. Li has published regularly in the following venues:

  • arXiv (Cornell University)
  • The International Journal of High Performance Computing Applications
  • Journal of Chemical Theory and Computation
  • ACM Transactions on Mathematical Software
  • SIAM Journal on Scientific Computing

Recent notable publications include:

  • "A survey of numerical linear algebra methods utilizing mixed-precision arithmetic", 2021, The International Journal of High Performance Computing Applications
  • "A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic", 2020, arXiv (Cornell University)
  • "Butterfly Factorization Via Randomized Matrix-Vector Multiplications", 2021, SIAM Journal on Scientific Computing
  • "Sparse Approximate Multifrontal Factorization with Butterfly Compression for High Frequency Wave Equations", 2020, arXiv (Cornell University)
  • "Newly Released Capabilities in the Distributed-Memory SuperLU Sparse Direct Solver", 2022, ACM Transactions on Mathematical Software

Among various recognitions, Xiaoye S. Li was named a SIAM Fellow in 2016 for advances in developing fast and scalable sparse matrix algorithms and promoting their use in large-scale scientific and engineering applications. Additionally, they have been recognized as an ACM Senior Member since 2009.

Best Publications

  • A Supernodal Approach to Sparse Partial Pivoting

    James W. Demmel;Stanley C. Eisenstat;John R. Gilbert;Xiaoye S. Li

  • SuperLU_DIST: A scalable distributed-memory sparse direct solver for unsymmetric linear systems

    Xiaoye S. Li;James W. Demmel

  • An overview of SuperLU: Algorithms, implementation, and user interface

    Xiaoye S. Li

  • Fast algorithms for hierarchically semiseparable matrices

    Jianlin Xia;Shivkumar Chandrasekaran;Ming Gu;Xiaoye S. Li

  • An Asynchronous Parallel Supernodal Algorithm for Sparse Gaussian Elimination

    James W. Demmel;John R. Gilbert;Xiaoye S. Li

  • Algorithms for quad-double precision floating point arithmetic

    Y. Hida;X.S. Li;D.H. Bailey

  • Design, implementation and testing of extended and mixed precision BLAS

    Xiaoye S. Li;James W. Demmel;David H. Bailey;Greg Henry

  • Superfast Multifrontal Method for Large Structured Linear Systems of Equations

    Jianlin Xia;Shivkumar Chandrasekaran;Ming Gu;Xiaoye S. Li

  • SuperLU Users'' Guide

    James W. Demmel;John Gilbert;Xiaoye S. Li

  • ARPREC: An arbitrary precision computation package

    David H. Bailey;Hida Yozo;Xiaoye S. Li;Brandon Thompson

  • ARPREC: An arbitrary precision computation package

    David H. Bailey;Hida Yozo;Xiaoye S. Li;Brandon Thompson

  • An Efficient Multicore Implementation of a Novel HSS-Structured Multifrontal Solver Using Randomized Sampling

    Pieter Ghysels;Xiaoye S. Li;Francois Henry Rouet;Samuel Williams

  • A Distributed-Memory Package for Dense Hierarchically Semi-Separable Matrix Computations Using Randomization

    François-Henry Rouet;Xiaoye S. Li;Pieter Ghysels;Artem Napov

  • A survey of numerical linear algebra methods utilizing mixed-precision arithmetic:

    Ahmad Abdelfattah;Hartwig Anzt;Hartwig Anzt;Erik G. Boman;Erin C. Carson

  • Error bounds from extra-precise iterative refinement

    James Demmel;Yozo Hida;William Kahan;Xiaoye S. Li

  • Making Sparse Gaussian Elimination Scalable by Static Pivoting

    Xiaoye S. Li;James W. Demmel

  • Analysis and comparison of two general sparse solvers for distributed memory computers

    Patrick R. Amestoy;Iain S. Duff;Jean-Yves L'excellent;Xiaoye S. Li

  • Parallel Symbolic Factorization for Sparse LU with Static Pivoting

    Laura Grigori;James W. Demmel;Xiaoye S. Li

  • Efficient Scalable Algorithms for Solving Dense Linear Systems with Hierarchically Semiseparable Structures

    Shen Wang;Xiaoye S. Li;Jianlin Xia;Yingchong Situ

  • Extreme Heterogeneity 2018 - Productive Computational Science in the Era of Extreme Heterogeneity: Report for DOE ASCR Workshop on Extreme Heterogeneity

    Jeffrey S Vetter;Ron Brightwell;Maya Gokhale;Pat McCormick

  • Massively parallel structured multifrontal solver for time-harmonic elastic waves in 3-D anisotropic media

    Shen Wang;Maarten V. de Hoop;Jianlin Xia;Xiaoye S. Li

  • Quad-Double Arithmetic: Algorithms, Implementation, and Application∗

    Yozo Hida;Xiaoye S. Li;David H. Bailey

  • Design, implementation and testing of extended and mixed precision BLAS

    X.S. Li;J.W. Demmel;D.H. Bailey;G. Henry

  • A Comparison of three high-precision quadrature schemes

    David H. Bailey;Xiaoye S. Li

  • An efficient multi-core implementation of a novel HSS-structured multifrontal solver using randomized sampling

    Pieter Ghysels;Xiaoye S. Li;Francois-Henry Rouet;Samuel Williams

  • An Asynchronous Parallel Supernodal Algorithm for Sparse Gaussian

    James W. Demmel;John Gilbert;Xiaoye S. Li

Frequent Co-Authors

James Demmel
James Demmel University of California, Berkeley
Samuel Williams
Samuel Williams Lawrence Berkeley National Laboratory
Iain S. Duff
Iain S. Duff Rutherford Appleton Laboratory
Zhaojun Bai
Zhaojun Bai University of California, Davis
John R. Gilbert
John R. Gilbert University of California, Santa Barbara
Aydin Buluc
Aydin Buluc Lawrence Berkeley National Laboratory
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Richard Vuduc
Richard Vuduc Georgia Institute of Technology
James A. Sethian
James A. Sethian University of California, Berkeley
Alexandre M. Bayen
Alexandre M. Bayen University of California, Berkeley

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