Biography

Edmond Chow is an Associate Professor in the School of Computational Science and Engineering at Georgia Institute of Technology.
He previously held positions at D. E. Shaw Research and Lawrence Livermore National Laboratory. His research is in developing numerical methods specialized for high-performance computers, and applying these methods to solve large-scale scientific computing problems.
Dr. Chow was awarded the 2009 ACM Gordon Bell prize and the 2002 U.S. Presidential Early Career Award for Scientists and Engineers (PECASE). He serves as Associate Editor for ACM Transactions on Mathematical Software and previously served as Associate Editor for SIAM Journal on Scientific Computing.

Asynchronous iterative methods

Parallel asynchronous fixed-point iterative methods for solving linear and nonlinear systems of equations differ from classical synchronous methods by allowing processors to continue iterating without waiting for other processors at synchronization points. Time-to-solution may be reduced especially when the load across the processors is imbalanced. This high-level presentation will first examine some models of asynchronous iterative methods and their convergence theory. We then discuss the implementation of asynchronous iterative methods on distributed memory computers, which, surprisingly, is not straightforward. We finally present asynchronous iterative methods in the context of optimized Schwarz domain decomposition and multilevel solvers.