Chao Chen
Assistant Professor
SAS Hall 4236
Bio
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Before that, he was a postdoc in the Oden Institute at The University of Texas at Austin.
- He received his PhD from the Institute for Computational and Mathematical Engineering (ICME) at Stanford in 2018.
- He was an intern at Nvidia Research in summer 2018, an intern at Center for Computing Research in Sandia National Laboratories for three summers (2015-2017), and an intern at Computational Materials Science Group in Lawrence Livermore National Laboratory in summer 2013.
- He obtained his BS at Nankai University (Tianjin, China) in 2012.
Education
PhD Computational and Mathematical Engineering Stanford University 2018
MS Computational and Mathematical Engineering Stanford University 2014
BS Information and Computational Mathematics Nankai University 2012
Area(s) of Expertise
High performance computing, numerical linear algebra, numerical PDE, randomized algorithms, data science, and machine learning
Publications
- An O(N) distributed-memory parallel direct solver for planar integral equations , PROCEEDINGS 2024 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM, IPDPS 2024 (2024)
- Efficient algorithms for computing rank‐revealing factorizations on a GPU , Numerical Linear Algebra with Applications (2023)
- Overlapping Domain Decomposition Preconditioner for Integral Equations , SIAM Journal on Scientific Computing (2022)
- Solving Linear Systems on a GPU with Hierarchically Off-Diagonal Low-Rank Approximations , SC22: International Conference for High Performance Computing, Networking, Storage and Analysis (2022)
- Fast Approximation of the Gauss--Newton Hessian Matrix for the Multilayer Perceptron , SIAM Journal on Matrix Analysis and Applications (2021)
- PBBFMM3D: A parallel black-box algorithm for kernel matrix-vector multiplication , Journal of Parallel and Distributed Computing (2021)
- RCHOL: Randomized Cholesky Factorization for Solving SDD Linear Systems , SIAM Journal on Scientific Computing (2021)
- A preconditioner based on sparsified nested dissection and low-rank approximation , XXI Householder Symposium on Numerical Linear Algebra (2020)
- An Algebraic Sparsified Nested Dissection Algorithm Using Low-Rank Approximations , SIAM Journal on Matrix Analysis and Applications (2020)
- Scalable spatio-temporal modeling using a fast multipole method for 3D tracer concentration breakthrough data with magnetic resonance imaging. , (2020)