Chao Chen

According to our database, Chao Chen authored at least 19 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Scalable KNN Graph Construction for Heterogeneous Architectures.

William Ruys, Ali Ghafouri, Chao Chen, George Biros

ACM Trans. Parallel Comput., September, 2025

Adaptive Parallelizable Algorithms for Interpolative Decompositions via Partially Pivoted LU.

Katherine J. Pearce, Chao Chen, Yijun Dong, Per-Gunnar Martinsson

Numer. Linear Algebra Appl., February, 2025

Robust Blockwise Random Pivoting: Fast and Accurate Adaptive Interpolative Decomposition.

Yijun Dong, Chao Chen, Per-Gunnar Martinsson, Katherine J. Pearce

SIAM J. Matrix Anal. Appl., 2025

A simplified fast multipole method based on strong recursive skeletonization.

Anna Yesypenko, Chao Chen, Per-Gunnar Martinsson

J. Comput. Phys., 2025

2024

An O(N) distributed-memory parallel direct solver for planar integral equations.

Tianyu Liang, Chao Chen, Per-Gunnar Martinsson, George Biros

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

Efficient algorithms for computing rank-revealing factorizations on a GPU.

Nathan Heavner, Chao Chen, Abinand Gopal, Per-Gunnar Martinsson

Numer. Linear Algebra Appl., December, 2023

SkelFMM: A Simplified Fast Multipole Method Based on Recursive Skeletonization.

Anna Yesypenko, Chao Chen, Per-Gunnar Martinsson

CoRR, 2023

A distributed-memory parallel algorithm for discretized integral equations using Julia.

Tianyu Liang, Chao Chen, Per-Gunnar Martinsson, George Biros

CoRR, 2023

2022

Overlapping Domain Decomposition Preconditioner for Integral Equations.

Chao Chen, George Biros

SIAM J. Sci. Comput., 2022

Solving Linear Systems on a GPU with Hierarchically Off-Diagonal Low-Rank Approximations.

Chao Chen, Per-Gunnar Martinsson

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021

RCHOL: Randomized Cholesky Factorization for Solving SDD Linear Systems.

Chao Chen, Tianyu Liang, George Biros

SIAM J. Sci. Comput., 2021

Fast Approximation of the Gauss-Newton Hessian Matrix for the Multilayer Perceptron.

Chao Chen, Severin Reiz, Chenhan D. Yu, Hans-Joachim Bungartz, George Biros

SIAM J. Matrix Anal. Appl., 2021

PBBFMM3D: A parallel black-box algorithm for kernel matrix-vector multiplication.

Ruoxi Wang, Chao Chen, Jonghyun Lee, Eric Darve

J. Parallel Distributed Comput., 2021

2020

An Algebraic Sparsified Nested Dissection Algorithm Using Low-Rank Approximations.

Léopold Cambier, Chao Chen, Erik G. Boman, Sivasankaran Rajamanickam, Raymond S. Tuminaro, Eric Darve

SIAM J. Matrix Anal. Appl., 2020

Parallelization of the inverse fast multipole method with an application to boundary element method.

Toru Takahashi, Chao Chen, Eric Darve

Comput. Phys. Commun., 2020

2019

A robust hierarchical solver for ill-conditioned systems with applications to ice sheet modeling.

Chao Chen, Léopold Cambier, Erik G. Boman, Sivasankaran Rajamanickam, Raymond S. Tuminaro, Eric Darve

J. Comput. Phys., 2019

Fast Evaluation and Approximation of the Gauss-Newton Hessian Matrix for the Multilayer Perceptron.

Chao Chen, Severin Reiz, Chenhan D. Yu, Hans-Joachim Bungartz, George Biros

CoRR, 2019

PBBFMM3D: a Parallel Black-Box Fast Multipole Method for Non-oscillatory Kernels.

Ruoxi Wang, Chao Chen, Jonghyun Lee, Eric Darve

CoRR, 2019

2018

A distributed-memory hierarchical solver for general sparse linear systems.

Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G. Boman, Eric Darve

Parallel Comput., 2018