Edmond
Chow

General Information

Email:
echow@cc.gatech.edu
Phone:
(404) 894-3086
Location - Building:
Coda
Location - Room:
S1337
Roles:
Professor (any rank)
Primary Unit:
School of Computational Science and Engineering
Website URL
https://faculty.cc.gatech.edu/~echow

Details

Degrees with subject and Postdoc Experience:
Degree Type
PhD
Subject
Computer Science
Year
1997
Institution
University of Minnesota
Location
Minneapolis
Degree Type
Hons BASc
Subject
Systems Design Engineering
Year
1993
Institution
University of Waterloo
Location
Waterloo, Canda
Statement of Research Interests:

Numerical methods, particularly numerical linear algebra, for high-performance computers applied to scientific computing and data science problems, including for PDE models, quantum chemistry, molecular dynamics, Brownian/Stokesian dynamics, inverse problems, data assimilation, uncertainty quantification, Gaussian processes, machine learning.

Statement of Teaching Interests:

Numerical methods, scientific computing, high-performance computing, machine learning.

Selection of recent research, scholarly, and creative activities:

D. Sushnikova, G. Turkiyyah, E. Chow, and D. Keyes, H2-MG: A Multigrid Method for Hierarchical Rank Structured Matrices, SIAM Journal on Scientific Computing, accepted (2025).

D. Cai, E. Chow, and Y. Xi, Posterior Covariance Structures in Gaussian Processes,SIAM Journal on Matrix Analysis and Applications, 46, 1640-1673 (2025).

J. Wolfson-Pou and E. Chow, Asynchronous Semi-iterative Methods and the Asynchronous Chebyshev Method with Multigrid Preconditioning, SIAM Journal on Scientific Computing, Copper Mountain Special Section, S23-S49 (2025).

H. Huang and E. Chow, Exploring the Design Space of Distributed Parallel Sparse Matrix-Multiple Vector Multiplication, IEEE Transactions on Parallel and Distributed Systems, 35, 1977-1988 (2024).

S. Shah, B. Zhang, H. Huang, J. E. Pask, P. Suryanarayana, and E. Chow, Many-Body Electronic Correlation Energy using Krylov Subspace Linear Solvers, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC24), 946-960 (2024).

S. Zhao, T. Xu, H. Huang, E. Chow, and Y. Xi, An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices, SIAM Journal on Scientific Computing, 46, A2351-A2376 (2024).