Dr. Benjamin Ong
Assistant Professor, Mathematical Sciences
Modern supercomputers offer millions of processors that can be
leveraged, in parallel, to solve equations that model the world
we live in. To utilize these supercomputers for solving these
equations, a new generation of algorithms that are efficient,
highly concurrent (i.e., many floating point operations are
computed at the same time) and fault tolerant are required.
Dr. Ong’s research focuses on developing and analyzing fault-resilient parallel algorithms for solving these equations on supercomputers constructed using next-generation architectures, including Nvidia GPUs, Intel Xeon PHIs and other energy efficient architectures. As part of this ongoing work, Dr. Ong maintains several software packages that compute a parallel-in-time solution of differential algebraic equations, and a parallel fast-summation solver for approximating integral solutions.
For more information, please visit Dr. Ong's website.