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.
Recent publications
| 01 |
Revisionist Integral Deferred Correction with Adaptive Stepsize Control A. J. Christlieb, C. B. Macdonald, B. W. Ong, R. J. Spiteri Communications in Applied Mathematics and Computational Science (manuscript accepted for publication; 2015) |
| 02 |
A new family of regularized integral kernels for the Poisson equation A. Christlieb, B. Ong, B. Quaife Manuscript submitted for publication. arXiv:1407.1108 (2014) |
| 03 |
Algorithm xxx: RIDC Methods -- A Family of Parallel Time-Integrators B. Ong. R. Haynes, K. Ladd Manuscript submitted for publication. arXiv:1408.3082 (2014) |
| 04 |
Method of lines transpose: An implicit solution to the wave equation M. Causley, A. Christlieb, B. Ong, L. V. Groningen Mathematics of Computation, vol. 83, p. 2763 (2014) |
| 05 |
A Parallel Space-Time Algorithm A. J. Christlieb, R. D. Haynes, B. W. Ong SIAM Journal of Scientific Computing, vol. 34, p. C233 (2012) |
