DALLAS (SMU) – A multi-agency team, including SMU’s Chair of Mathematics Daniel Reynolds and SMU promoted David Gardnerhas been awarded the 2023 SIAM/ACM Prize for Computational Science and Engineering.
The award is presented by the Society for Industrial and Applied Mathematics (SIAM) and the Association of Computing Machinery (ACM) in recognition of outstanding contributions to the development and use of mathematical and computational tools and methods for solving scientific and engineering problems . It is one of SIAM’s top awards and will be presented to the team in February at the SIAM Conference on Computational Science and Engineering 2023 in Amsterdam.
Reynolds, professor and chair of mathematics at SMU (Southern Methodist University), and Gardner, who holds a PhD in mathematics from SMU, are part of a team recognized for years of developing the open-source SUNDIALS software suite designed to provide a reliable tool for solving mathematical equations fundamental to modeling and simulating physical phenomena through easy integration into existing simulation codes. The suite contains methods for solving ordinary differential equation systems, differential algebraic equation systems, and nonlinear algebraic systems.
Reynolds began working with the team as a postdoctoral researcher at Lawrence Livermore National Laboratory (LLNL) from 2003 through 2005, although most of his contributions to the work have occurred over the past 10 years while he was on the faculty of SMU.
Gardner is now a computational scientist at the Center for Applied Scientific Computing (CASC) at LLNL.
The SUNDIALS team also contains:
- Carol Woodwardsenior member of the technical staff, Center for Applied Scientific Computing (CASC), (LLNL)
- Cody Baloscomputer scientist, CASC, LLNL
- Peter Browncomputer physicist, CASC, LLNL
- Alan Hindmarshmathematician, CASC, LLNL (retired)
- Radu Serbiansenior scientist, Department of Mechanical Engineering, University of Wisconsin-Madison
“While many researchers in our discipline develop exceptional methods, our team has made significant efforts to convert these methods into robust and well-documented software tools,” said Reynolds, who has been with SMU for 14 years. “By recognizing the impact of this software on the SIAM community, I feel this award validates that extra effort.”
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