Contributor

Esmond Ng is a senior scientist at Lawrence Berkeley National Laboratory. His research interests include numerical linear algebra, large-scale computing, high-performance computing, mathematical software development and engineering, and computational complexity. His work has focused on the combinatorial aspect of sparse matrix computation, the design and implementation of reliable and efficient sparse matrix algorithms for advanced computer architectures, and complexity analysis. He has been involved in computational science and engineering and has been engaging in the development and application of sparse matrix techniques for solving large-scale scientific problems. He is currently the director of the Frameworks, Algorithms and Scalable Technologies for Mathematics (FASTMath) Institute, which is funded by the U.S. Department of Energy’s Scientific Discovery Through Advanced Computing (SciDAC) Program.