School of Computational Science and Engineering
College of Computing
Georgia Institute of Technology
Address: 266 Ferst Drive, Atlanta, GA 30332-0765
Office: KACB 1312
Phone: (404) 894-3086
My general area of research is in developing and applying numerical methods and high-performance computing to solve large-scale scientific computing problems. Specific algorithms that interest me include those of numerical linear algebra, including preconditioning, multilevel methods, and sparse matrix computations, as well as those of particle-based simulation, such as Brownian and molecular dynamics. For more information on my research, click here.
May 2014: In collaboration with Intel, we have run our quantum chemistry code on 8100 nodes of Tianhe-2, the fastest supercomputer in the world!
April 2014: Intel has awarded Georgia Tech an Intel Parallel Computing Center. Edmond Chow will lead the center, which will focus on Xeon and Xeon Phi algorithms and implementations for computational chemistry and biochemistry. See the announcement here.
E. Chow and A. Patel, Fine-grained Parallel Incomplete LU Factorization, SIAM Journal on Scientific Computing, submitted.
X. Liu, A. Patel, and E. Chow, A New Scalable Parallel Algorithm for Fock Matrix Construction, 28th IEEE International Parallel and Distributed Processing Symposium (IPDPS), Phoenix, AZ, May 19-23, 2014. (Best Paper Award in Applications Track)
Recent and upcoming presentations: 2014 Copper Mountain Conference on Iterative Methods, IPDPS 2014, Sparse Days 2014, Householder XIX, Parallel Matrix Algorithms and Applications PMAA14 (by Harwig Anzt), SIAM Exascale Applied Mathematics EX14, XSEDE 14 (by Graham Lopez), 248th American Chemical Society National Meeting.
For more publications, click here.
I gratefully acknowledge the support of NSF, DOE, DARPA, and Intel Corporation for funding my research.
I joined Georgia Tech in August 2010. Previously, I worked at D. E. Shaw Research in New York (from 2005 to 2010) and at Lawrence Livermore National Laboratory in the Center for Applied Scientific Computing (from 1998 to 2005). I've also taught several courses at Columbia University as an Adjunct Associate Professor in the Department of Applied Physics and Applied Mathematics.
I studied at the University of Minnesota (Ph.D., Computer Science, minor in Aerospace Engineering, 1997). My undergraduate studies were at the University of Waterloo in Canada (Hons. B.A.Sc., Systems Design Engineering, 1993).
Associate Editor, ACM Transactions on Mathematical Software, 2012-present.
Associate Editor, SIAM Journal on Scientific Computing, 2008-present.
Co-Chair (with Ali Pinar and Rob Schreiber), SIAM Conference on Parallel Processing for Scientific Computing, Portland, OR, 2014.
Organizing Committee, SIAM Annual Meeting, Chicago, IL, 2014.
Algorithms Chair, Technical Papers Committee, ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC12), Salt Lake City, UT, Nov. 10-16, 2012.
Vice-Chair, Scientific Committee, 10th International Meeting on High-Performance Computing for Computational Science (VECPAR 2012), Kobe, Japan, July 17-20, 2012.
Some conference program committees: IPDPS 2014, SC'13, SC'12, ICPP'12, IPDPS 2011, HiPC 2011, SC'10, IPDPS 2010, HiPC 2010, SC'09
I specialize in teaching courses in numerical methods and scientific computing. In Fall 2014, I am teaching CSE/MATH 6644, Iterative Methods for Systems of Equations. Click here for a list of my courses.